Files
librefang-registry/hands/analytics
Evan 945bbbd763 chore(hands): bump all HAND.toml versions to 1.1.0 (#16)
* chore(hands): bump all HAND.toml versions to 1.1.0

Triggers version-aware sync in librefang runtime (librefang/librefang#1530).
Previously sync_subdirs() skipped existing hands regardless of version.
With the runtime fix, bumping from 1.0.0 → 1.1.0 ensures users get
updated hand definitions on next registry sync.

* chore: fix taplo formatting for 4 agent.toml files

* fix(hands): fix invalid install fields in analytics and browser

- analytics: `linux` → `linux_apt`/`linux_dnf`/`linux_pacman` (parser
  only recognizes platform-specific variants, not generic `linux`)
- analytics: remove `pip = "python3 --version"` (version check, not
  an install command)
- browser: remove `pip = "python3 --version"` (same issue)

* fix: enrich sub-agent prompts and add missing requires across all hands

- analytics: fix linux → linux_apt/dnf/pacman, remove invalid pip check,
  enrich analyst and modeler sub-agent prompts
- apitester: add [[requires]] for curl
- browser: remove invalid pip check, enrich researcher and extractor prompts
- clip: enrich editor and transcriber sub-agent prompts
- collector: enrich scout, scholar, and localizer sub-agent prompts
- devops: add [[requires]] for curl, git, docker (optional), GITHUB_TOKEN
  (optional), enrich sub-agent prompts
- lead: enrich outreach, recruiter, and messenger sub-agent prompts
- linkedin: enrich content and researcher sub-agent prompts
- predictor: enrich orchestrator, planner, and modeler sub-agent prompts
- reddit: enrich monitor and composer sub-agent prompts
- strategist: enrich architect, counsel, and analyst sub-agent prompts
- trader: enrich accountant and researcher sub-agent prompts
- twitter: enrich curator and composer sub-agent prompts
2026-03-23 11:21:29 +09:00
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Analytics Hand

Autonomous data analytics agent -- data collection, analysis, visualization, dashboards, and automated reporting.

Configuration

Field Value
Category data
Agent analytics-hand
Routing data analysis, data visualization, dashboard, automated report, statistical analysis

Integrations

  • Python 3 -- Required for data analysis with pandas, matplotlib, and seaborn.

Settings

  • Data Source -- Primary data source type (csv, json, database, api, web)
  • Analysis Type -- Default analysis approach (descriptive, diagnostic, predictive, prescriptive)
  • Output Format -- Report format (report, dashboard, slides, executive)
  • Visualization -- Generate charts and visualizations (default: on)
  • Scheduled Reports -- Auto-generate reports on a schedule (default: off)
  • Report Frequency -- daily, weekly, monthly
  • Confidence Threshold -- Minimum confidence for findings (low, medium, high)

Usage

librefang hand run analytics