Evan Hu
33d279889c
- Fix French accent characters (é/è/ê/ç/â/ô) across all 14 HAND.toml files - Fix German special characters (ä/ö/ü/ß) across all 14 HAND.toml files - Add category translations to all 6 i18n language blocks in all 14 hands - Enhance SKILL.md content for 9 hands with practical examples and workflows - Trim bloated SKILL.md files (apitester 1400→892, devops 1301→870) - Rewrite root README.md with accurate stats, complete hand/integration tables - Update hands/README.md with full 14-hand listing and i18n documentation
632 lines
20 KiB
TOML
632 lines
20 KiB
TOML
id = "collector"
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version = "1.0.0"
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name = "Collector Hand"
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description = "Autonomous intelligence collector — monitors any target continuously with change detection and knowledge graphs"
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category = "data"
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icon = "🔍"
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tools = [
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"shell_exec",
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"file_read",
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"file_write",
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"file_list",
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"web_fetch",
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"web_search",
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"memory_store",
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"memory_recall",
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"schedule_create",
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"schedule_list",
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"schedule_delete",
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"knowledge_add_entity",
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"knowledge_add_relation",
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"knowledge_query",
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"event_publish",
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]
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[routing]
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aliases = [
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"monitor changes",
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"track updates",
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"collect intelligence",
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"osint",
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"change detection",
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"gather info",
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"market intelligence",
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"competitive analysis",
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]
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weak_aliases = [
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"watch",
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"signals",
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"continuous monitoring",
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"surveillance",
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"intel",
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"news monitoring",
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]
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# ─── Configurable settings ───────────────────────────────────────────────────
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[[settings]]
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key = "target_subject"
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label = "Target Subject"
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description = "What to monitor (company name, person, technology, market, topic)"
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setting_type = "text"
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default = ""
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[[settings]]
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key = "collection_depth"
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label = "Collection Depth"
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description = "How deep to dig on each cycle"
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setting_type = "select"
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default = "deep"
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[[settings.options]]
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value = "surface"
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label = "Surface (headlines only)"
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[[settings.options]]
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value = "deep"
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label = "Deep (full articles + sources)"
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[[settings.options]]
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value = "exhaustive"
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label = "Exhaustive (multi-hop research)"
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[[settings]]
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key = "update_frequency"
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label = "Update Frequency"
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description = "How often to run collection sweeps"
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setting_type = "select"
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default = "daily"
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[[settings.options]]
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value = "hourly"
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label = "Every hour"
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[[settings.options]]
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value = "every_6h"
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label = "Every 6 hours"
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[[settings.options]]
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value = "daily"
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label = "Daily"
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[[settings.options]]
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value = "weekly"
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label = "Weekly"
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[[settings]]
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key = "focus_area"
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label = "Focus Area"
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description = "Lens through which to analyze collected intelligence"
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setting_type = "select"
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default = "general"
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[[settings.options]]
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value = "market"
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label = "Market Intelligence"
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[[settings.options]]
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value = "business"
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label = "Business Intelligence"
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[[settings.options]]
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value = "competitor"
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label = "Competitor Analysis"
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[[settings.options]]
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value = "person"
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label = "Person Tracking"
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[[settings.options]]
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value = "technology"
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label = "Technology Monitoring"
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[[settings.options]]
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value = "general"
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label = "General Intelligence"
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[[settings]]
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key = "alert_on_changes"
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label = "Alert on Changes"
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description = "Publish an event when significant changes are detected"
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setting_type = "toggle"
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default = "true"
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[[settings]]
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key = "report_format"
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label = "Report Format"
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description = "Output format for intelligence reports"
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setting_type = "select"
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default = "markdown"
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[[settings.options]]
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value = "markdown"
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label = "Markdown"
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[[settings.options]]
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value = "json"
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label = "JSON"
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[[settings.options]]
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value = "html"
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label = "HTML"
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[[settings]]
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key = "max_sources_per_cycle"
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label = "Max Sources Per Cycle"
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description = "Maximum number of sources to process per collection sweep"
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setting_type = "select"
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default = "30"
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[[settings.options]]
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value = "10"
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label = "10 sources"
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[[settings.options]]
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value = "30"
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label = "30 sources"
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[[settings.options]]
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value = "50"
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label = "50 sources"
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[[settings.options]]
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value = "100"
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label = "100 sources"
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[[settings]]
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key = "track_sentiment"
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label = "Track Sentiment"
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description = "Analyze and track sentiment trends over time"
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setting_type = "toggle"
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default = "false"
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# ─── Agent configuration ─────────────────────────────────────────────────────
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[agent]
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name = "collector-hand"
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description = "AI intelligence collector — monitors any target continuously with OSINT techniques, knowledge graphs, and change detection"
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module = "builtin:chat"
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provider = "default"
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model = "default"
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max_tokens = 16384
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temperature = 0.3
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max_iterations = 60
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system_prompt = """You are Collector Hand — an autonomous intelligence collector that monitors any target 24/7, building a living knowledge graph and detecting changes over time.
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## Phase 0 — Platform Detection & State Recovery (ALWAYS DO THIS FIRST)
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Detect the operating system:
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```
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python -c "import platform; print(platform.system())"
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```
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Then recover state:
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1. memory_recall `collector_hand_state` — if it exists, load previous collection state
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2. Read the **User Configuration** for target_subject, focus_area, collection_depth, etc.
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3. file_read `collector_knowledge_base.json` if it exists — this is your cumulative intel
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4. knowledge_query for existing entities related to the target
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---
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## Phase 1 — Schedule & Target Initialization
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On first run:
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1. Create collection schedule using schedule_create based on `update_frequency`
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2. Parse the `target_subject` — identify what type of target it is:
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- Company: look for products, leadership, funding, partnerships, news
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- Person: look for publications, talks, job changes, social activity
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- Technology: look for releases, adoption, benchmarks, competitors
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- Market: look for trends, players, reports, regulations
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- Competitor: look for product launches, pricing, customer reviews, hiring
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3. Build initial query set (10-20 queries tailored to target type and focus area)
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4. Store target profile in knowledge graph
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On subsequent runs:
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1. Load previous query set and results
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2. Check what's new since last collection
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---
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## Phase 2 — Source Discovery & Query Construction
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Build targeted search queries based on focus_area:
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**Market Intelligence**: "[target] market size", "[target] industry trends", "[target] competitive landscape"
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**Business Intelligence**: "[target] revenue", "[target] partnerships", "[target] strategy", "[target] leadership"
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**Competitor Analysis**: "[target] vs [competitor]", "[target] pricing", "[target] product launch", "[target] customer reviews"
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**Person Tracking**: "[person] interview", "[person] talk", "[person] publication", "[person] [company]"
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**Technology Monitoring**: "[target] release", "[target] benchmark", "[target] adoption", "[target] alternative"
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**General**: "[target] news", "[target] latest", "[target] analysis", "[target] report"
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Add temporal queries: "[target] this week", "[target] 2025"
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---
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## Phase 3 — Collection Sweep
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For each query (up to `max_sources_per_cycle`):
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1. web_search the query
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2. For each promising result, web_fetch to extract full content
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3. Extract key entities: people, companies, products, dates, numbers, events
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4. Tag each data point with:
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- Source URL
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- Collection timestamp
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- Confidence level (high/medium/low based on source quality)
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- Relevance score (0-100)
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Apply source quality heuristics:
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- Official sources (company websites, SEC filings, press releases) = high confidence
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- News outlets (established media) = medium-high confidence
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- Blog posts, social media = medium confidence
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- Forums, anonymous sources = low confidence
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---
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## Phase 4 — Knowledge Graph Construction
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For each collected data point:
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1. knowledge_add_entity for new entities (people, companies, products, events)
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2. knowledge_add_relation for relationships between entities
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3. Attach metadata: source, timestamp, confidence, focus_area
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Entity types to track:
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- Person (name, role, company, last_seen)
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- Company (name, industry, size, funding_stage)
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- Product (name, company, category, launch_date)
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- Event (type, date, entities_involved, significance)
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- Number (metric, value, date, context)
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Relation types:
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- works_at, founded, invested_in, partnered_with, competes_with
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- launched, acquired, mentioned_in, related_to
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---
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## Phase 5 — Change Detection & Delta Analysis
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Compare current collection against previous state:
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1. Load `collector_knowledge_base.json` (previous snapshot)
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2. Identify CHANGES:
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- New entities not in previous snapshot
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- Changed attributes (e.g., person changed company, new funding round)
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- New relationships between known entities
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- Disappeared entities (no longer mentioned)
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3. Score each change by significance (critical/important/minor):
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- Critical: leadership change, acquisition, major funding, product launch
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- Important: new partnership, hiring surge, pricing change, competitor move
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- Minor: blog post, minor update, mention in article
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If `alert_on_changes` is enabled and critical changes found:
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- event_publish with change summary
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If `track_sentiment` is enabled:
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- Classify each source as positive/negative/neutral toward the target
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- Track sentiment trend vs previous cycle
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- Note significant sentiment shifts in the report
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---
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## Phase 6 — Report Generation
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Generate an intelligence report in the configured `report_format`:
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**Markdown format**:
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```markdown
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# Intelligence Report: [target_subject]
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**Date**: YYYY-MM-DD | **Cycle**: N | **Sources Processed**: X
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## Key Changes Since Last Report
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- [Critical/Important changes with details]
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## Intelligence Summary
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[2-3 paragraph synthesis of collected intelligence]
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## Entity Map
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| Entity | Type | Status | Confidence |
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|--------|------|--------|------------|
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## Sources
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1. [Source title](url) — confidence: high — extracted: [key facts]
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## Sentiment Trend (if enabled)
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Positive: X% | Neutral: Y% | Negative: Z% | Trend: [up/down/stable]
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```
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Save to: `collector_report_YYYY-MM-DD.{md,json,html}`
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---
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## Phase 7 — State Persistence
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1. Save updated knowledge base to `collector_knowledge_base.json`
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2. memory_store `collector_hand_state`: last_run, cycle_count, entities_tracked, total_sources
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3. Update dashboard stats:
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- memory_store `collector_hand_data_points` — total data points collected
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- memory_store `collector_hand_entities_tracked` — unique entities in knowledge graph
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- memory_store `collector_hand_reports_generated` — increment report count
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- memory_store `collector_hand_last_update` — current timestamp
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---
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## Guidelines
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- NEVER fabricate intelligence — every claim must be sourced
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- Cross-reference critical claims across multiple sources before reporting
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- Clearly distinguish facts from analysis/speculation in reports
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- Respect rate limits — add delays between web fetches
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- If a source is behind a paywall, note it as "paywalled" and extract what's visible
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- Prioritize recency — newer information is generally more valuable
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- If the user messages you directly, pause collection and respond to their question
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- For competitor analysis, maintain objectivity — report facts, not opinions
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"""
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[dashboard]
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[[dashboard.metrics]]
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label = "Data Points"
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memory_key = "collector_hand_data_points"
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format = "number"
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[[dashboard.metrics]]
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label = "Entities Tracked"
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memory_key = "collector_hand_entities_tracked"
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format = "number"
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[[dashboard.metrics]]
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label = "Reports Generated"
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memory_key = "collector_hand_reports_generated"
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format = "number"
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[[dashboard.metrics]]
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label = "Last Update"
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memory_key = "collector_hand_last_update"
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format = "text"
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# ─── Token & Performance Metadata ─────────────────────────────────────────────
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[metadata]
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frequency = "continuous"
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token_consumption = "high"
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default_active = false
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activation_warning = "Collector hand runs continuously and monitors targets, consuming tokens."
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# ─── Internationalization (optional) ─────────────────────────────────────────
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# All i18n sections are optional. Without them, the English values above are used.
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# To localize, add [i18n.LANG] sections (e.g. zh, ja, ko, es, fr, de).
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# Settings translations are also optional — omit to keep English labels.
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# ─── Chinese (简体中文) ────────────────────────────────────────────────────
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[i18n.zh]
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name = "情报采集 Hand"
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description = "自主情报采集智能体——持续监控目标，支持变更检测和知识图谱"
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category = "数据"
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[i18n.zh.settings.target_subject]
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label = "监控目标"
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description = "要监控的对象（公司名称、人物、技术、市场、话题）"
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[i18n.zh.settings.collection_depth]
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label = "采集深度"
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description = "每个采集周期的挖掘深度"
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[i18n.zh.settings.update_frequency]
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label = "更新频率"
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description = "执行采集扫描的频率"
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[i18n.zh.settings.focus_area]
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label = "关注领域"
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description = "分析采集情报时的侧重角度"
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[i18n.zh.settings.alert_on_changes]
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label = "变更告警"
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description = "检测到重大变更时发布事件通知"
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[i18n.zh.settings.report_format]
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label = "报告格式"
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description = "情报报告的输出格式"
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[i18n.zh.settings.max_sources_per_cycle]
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label = "每周期最大来源数"
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description = "每次采集扫描处理的最大来源数量"
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[i18n.zh.settings.track_sentiment]
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label = "情感追踪"
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description = "分析并追踪随时间变化的情感趋势"
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# ─── Japanese (日本語) ────────────────────────────────────────────────────
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[i18n.ja]
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name = "インテリジェンス収集 Hand"
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description = "自律型インテリジェンス収集エージェント——変更検出とナレッジグラフによる対象の継続的監視"
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category = "データ"
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[i18n.ja.settings.target_subject]
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label = "監視対象"
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description = "監視する対象（企業名、人物、技術、市場、トピック）"
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[i18n.ja.settings.collection_depth]
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label = "収集深度"
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description = "各収集サイクルでの調査の深さ"
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[i18n.ja.settings.update_frequency]
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label = "更新頻度"
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description = "収集スキャンの実行頻度"
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[i18n.ja.settings.focus_area]
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label = "フォーカスエリア"
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description = "収集したインテリジェンスを分析する際の視点"
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[i18n.ja.settings.alert_on_changes]
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label = "変更アラート"
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description = "重大な変更が検出された場合にイベント通知を発行する"
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[i18n.ja.settings.report_format]
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label = "レポート形式"
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description = "インテリジェンスレポートの出力形式"
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[i18n.ja.settings.max_sources_per_cycle]
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label = "サイクルあたりの最大ソース数"
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description = "各収集スキャンで処理するソースの最大数"
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[i18n.ja.settings.track_sentiment]
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label = "センチメント追跡"
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description = "時間の経過に伴うセンチメントの傾向を分析・追跡する"
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# ─── Spanish (Español) ────────────────────────────────────────────────────
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[i18n.es]
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name = "Hand de Recopilación de Inteligencia"
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description = "Recopilador autónomo de inteligencia — monitorea cualquier objetivo de forma continua con detección de cambios y grafos de conocimiento"
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category = "Datos"
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[i18n.es.settings.target_subject]
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label = "Objetivo de monitoreo"
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description = "Qué monitorear (nombre de empresa, persona, tecnología, mercado, tema)"
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[i18n.es.settings.collection_depth]
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label = "Profundidad de recopilación"
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description = "Qué tan profundo investigar en cada ciclo"
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[i18n.es.settings.update_frequency]
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label = "Frecuencia de actualización"
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description = "Con qué frecuencia ejecutar los barridos de recopilación"
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[i18n.es.settings.focus_area]
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label = "Área de enfoque"
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description = "Perspectiva desde la cual analizar la inteligencia recopilada"
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[i18n.es.settings.alert_on_changes]
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label = "Alertar ante cambios"
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description = "Publicar un evento cuando se detecten cambios significativos"
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[i18n.es.settings.report_format]
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label = "Formato de informe"
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description = "Formato de salida para los informes de inteligencia"
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[i18n.es.settings.max_sources_per_cycle]
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label = "Máximo de fuentes por ciclo"
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description = "Número máximo de fuentes a procesar por barrido de recopilación"
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[i18n.es.settings.track_sentiment]
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label = "Seguimiento de sentimiento"
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description = "Analizar y rastrear las tendencias de sentimiento a lo largo del tiempo"
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# ─── French (Français) ────────────────────────────────────────────────────
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[i18n.fr]
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name = "Hand Collecteur de Renseignements"
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description = "Collecteur autonome de renseignements — surveille toute cible en continu avec détection de changements et graphes de connaissances"
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category = "Données"
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[i18n.fr.settings.target_subject]
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label = "Sujet cible"
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description = "Objet de la surveillance (nom d'entreprise, personne, technologie, marché, sujet)"
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[i18n.fr.settings.collection_depth]
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label = "Profondeur de collecte"
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description = "Niveau d'approfondissement à chaque cycle de collecte"
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[i18n.fr.settings.update_frequency]
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label = "Fréquence de mise à jour"
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description = "Fréquence d'exécution des cycles de collecte"
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[i18n.fr.settings.focus_area]
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label = "Domaine d'intérêt"
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description = "Angle d'analyse des renseignements collectés"
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[i18n.fr.settings.alert_on_changes]
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label = "Alerte sur changements"
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description = "Publier un événement lorsque des changements significatifs sont détectés"
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[i18n.fr.settings.report_format]
|
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label = "Format de rapport"
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|
description = "Format de sortie pour les rapports de renseignements"
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|
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[i18n.fr.settings.max_sources_per_cycle]
|
|
label = "Sources maximum par cycle"
|
|
description = "Nombre maximum de sources à traiter par cycle de collecte"
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[i18n.fr.settings.track_sentiment]
|
|
label = "Suivi du sentiment"
|
|
description = "Analyser et suivre les tendances de sentiment au fil du temps"
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# ─── German (Deutsch) ────────────────────────────────────────────────────
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|
|
[i18n.de]
|
|
name = "Informationssammlungs-Hand"
|
|
description = "Autonomer Informationssammler — überwacht jedes Ziel kontinuierlich mit Änderungserkennung und Wissensgraphen"
|
|
category = "Daten"
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|
|
|
[i18n.de.settings.target_subject]
|
|
label = "Zielobjekt"
|
|
description = "Was überwacht werden soll (Firmenname, Person, Technologie, Markt, Thema)"
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|
|
|
[i18n.de.settings.collection_depth]
|
|
label = "Sammlungstiefe"
|
|
description = "Wie tief in jedem Sammlungszyklus recherchiert wird"
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|
|
|
[i18n.de.settings.update_frequency]
|
|
label = "Aktualisierungshäufigkeit"
|
|
description = "Wie oft Sammlungszyklen ausgeführt werden"
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|
|
|
[i18n.de.settings.focus_area]
|
|
label = "Fokusbereich"
|
|
description = "Perspektive für die Analyse der gesammelten Informationen"
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|
|
|
[i18n.de.settings.alert_on_changes]
|
|
label = "Warnung bei Änderungen"
|
|
description = "Ein Ereignis veröffentlichen, wenn bedeutende Änderungen erkannt werden"
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|
|
|
[i18n.de.settings.report_format]
|
|
label = "Berichtsformat"
|
|
description = "Ausgabeformat für Informationsberichte"
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|
|
|
[i18n.de.settings.max_sources_per_cycle]
|
|
label = "Maximale Quellen pro Zyklus"
|
|
description = "Maximale Anzahl der pro Sammlungszyklus zu verarbeitenden Quellen"
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|
|
|
[i18n.de.settings.track_sentiment]
|
|
label = "Stimmungsverfolgung"
|
|
description = "Stimmungstrends im Zeitverlauf analysieren und verfolgen"
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|
|
|
# ─── Korean (한국어) ────────────────────────────────────────────────────
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|
|
[i18n.ko]
|
|
name = "정보 수집 Hand"
|
|
description = "자율 정보 수집 에이전트 — 대상을 지속적으로 모니터링하며 변경 감지 및 지식 그래프 지원"
|
|
category = "데이터"
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|
|
|
[i18n.ko.settings.target_subject]
|
|
label = "모니터링 대상"
|
|
description = "모니터링할 대상 (회사명, 인물, 기술, 시장, 주제)"
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|
|
|
[i18n.ko.settings.collection_depth]
|
|
label = "수집 깊이"
|
|
description = "각 수집 주기의 조사 깊이"
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|
|
|
[i18n.ko.settings.update_frequency]
|
|
label = "업데이트 빈도"
|
|
description = "수집 스캔 실행 주기"
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|
|
|
[i18n.ko.settings.focus_area]
|
|
label = "관심 분야"
|
|
description = "수집된 정보를 분석하는 관점"
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|
|
|
[i18n.ko.settings.alert_on_changes]
|
|
label = "변경 알림"
|
|
description = "중요한 변경 사항 감지 시 이벤트 알림 발행"
|
|
|
|
[i18n.ko.settings.report_format]
|
|
label = "보고서 형식"
|
|
description = "정보 보고서의 출력 형식"
|
|
|
|
[i18n.ko.settings.max_sources_per_cycle]
|
|
label = "주기당 최대 소스 수"
|
|
description = "수집 스캔당 처리할 최대 소스 수"
|
|
|
|
[i18n.ko.settings.track_sentiment]
|
|
label = "감성 추적"
|
|
description = "시간에 따른 감성 추세 분석 및 추적"
|