* 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
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