Hand definitions for LibreFang. Hands are the user-facing "apps" -- higher-level application bundles that package an agent with tools, settings, dashboard metrics, and dependency requirements.

"You have many hands helping you." -- Hands are how LibreFang users interact with specialized capabilities.

Structure

hands/
├── browser/
│   ├── HAND.toml    # Hand definition
│   └── SKILL.md     # Expert knowledge for the agent
├── trader/
│   ├── HAND.toml
│   └── SKILL.md
└── ...

HAND.toml Format

id = "hand-id"                   # Must match directory name
name = "Hand Name"
description = "What this hand does"
category = "productivity"         # communication | content | data | development |
                                  # devops | finance | productivity | research | social
icon = "🔧"
tools = ["tool1", "tool2"]

[routing]
aliases = ["activate phrases"]
weak_aliases = ["keyword hints"]

[[requires]]                      # External dependencies
key = "python3"
requirement_type = "binary"
check_value = "python3"

[[settings]]                      # User-configurable options
key = "headless"
setting_type = "toggle"
default = "true"

[agent]                           # The agent powering this hand
name = "hand-agent"
module = "builtin:chat"
system_prompt = """..."""

# Optional: i18n for name, description, category, and settings
# Supported languages: zh, ja, ko, es, fr, de
[i18n.zh]
name = "浏览器 Hand"
description = "自主网页浏览器"
category = "生产力"

[i18n.zh.settings.headless]      # Per-setting label/description translation
label = "无头模式"
description = "在后台运行浏览器"

[dashboard]                       # Dashboard metrics
[[dashboard.metrics]]
label = "Tasks Completed"
memory_key = "metric_key"
format = "number"

Current Hands (14)

Hand	Category	Description
analytics	data	Data analytics, visualization, dashboards, and automated reporting
apitester	development	API testing, endpoint discovery, load testing, and regression detection
browser	productivity	Web navigation, form filling, and multi-step web tasks
clip	content	Turns long-form video into short clips with captions and thumbnails
collector	data	Intelligence collection, change detection, and knowledge graphs
devops	development	CI/CD management, infrastructure monitoring, and incident response
lead	data	Lead generation, enrichment, scoring, and scheduled delivery
linkedin	communication	LinkedIn content creation, networking, and engagement
predictor	data	Signal collection, calibrated predictions, and accuracy tracking
reddit	communication	Subreddit monitoring, content posting, and engagement tracking
researcher	productivity	Deep research, cross-referencing, fact-checking, and reports
strategist	productivity	Market research, competitive analysis, and strategic planning
trader	data	Market intelligence, multi-signal analysis, and risk management
twitter	communication	Twitter/X content creation, scheduling, and performance tracking

Adding a New Hand

Create hands/<name>/HAND.toml and SKILL.md (expert knowledge for the agent)
Ensure id matches the directory name
Run python scripts/validate.py
Submit a PR

See CONTRIBUTING.md for the full guide.