Auto Skill Hunter

Auto Skill Hunter

Auto Skill Hunter continuously expands an agent's capability stack with task-relevant skills, then explains why each selected skill is worth trying.

When to Use

Use this skill when at least one of the following is true:

• The user asks for a task that current skills cannot solve reliably.
• Similar issues keep appearing across recent sessions.
• The user explicitly asks to discover/install better skills.
• The agent needs proactive capability growth on a timer.

High-Value Outcomes

• Faster discovery of practical skills for real unresolved tasks.
• Lower manual browsing effort on ClawHub.
• Better skill stack diversity through complementarity scoring.
• Safer adoption via bounded install count and runnable checks.

Usage

node skills/skill-hunter/src/hunt.js

Common Commands

# 1) Full automatic patrol
node skills/skill-hunter/src/hunt.js --auto

# 2) Targeted hunt for a specific unresolved problem
node skills/skill-hunter/src/hunt.js --query "Cannot reliably fetch web pages and summarize key insights"

# 3) Preview only (no write/install)
node skills/skill-hunter/src/hunt.js --dry-run

# 4) Cap per-run installation count
node skills/skill-hunter/src/hunt.js --max-install 2

Core Workflow

1. Extract unresolved problems and topic signals from recent chat/session memory.
2. Search ClawHub with trending feeds and query endpoints.
3. Score candidates with multi-factor ranking:
   • issue relevance
   • profile and personality fit (USER.md + personality state)
   • complementarity with already installed skills
   • quality signals such as stars/downloads (when available)
4. Install top candidates with a runnable entry and self-test fallback.
5. Produce a concise recommendation report with strengths, scenarios, and selection reasons.

Best-Fit Scenarios

• A user asks for a task that current skills cannot solve well.
• Recent sessions show repeated failures or unresolved tickets.
• The agent needs proactive capability growth without manual curation.
• The team wants a lightweight "discover -> test -> keep/remove" loop.

Operating Modes

• Auto patrol mode: --auto for periodic capability growth.
• Targeted mode: --query "..." when a specific user problem is known.
• Safe preview mode: --dry-run before enabling real installs.

Recommended Execution Policy

• Start with --dry-run in new environments.
• Use --max-install 1~2 to avoid noisy bulk installs.
• Re-run with a focused --query when no candidate passes threshold.
• Keep only skills that survive at least one real task run.

Scheduled Trigger Recommendation

For continuous value, run Auto Skill Hunter on a timer:

• Every 30 min for high-change or fast-moving projects
• Every 60 min for normal workflows
• Every 120 min for stable environments

This cadence keeps capability coverage fresh and reduces reaction lag when new user needs appear.

Suggested Cron-Style Routine

# High-change projects
*/30 * * * * node /path/to/workspace/skills/skill-hunter/src/hunt.js --auto --max-install 1

# Normal projects
0 * * * * node /path/to/workspace/skills/skill-hunter/src/hunt.js --auto --max-install 2

Installation Policy

• Defaults to max 2 installations per run (configurable with --max-install or env).
• Skips already-installed skills.
• Falls back to scaffold mode when remote clone fails.

Safety and Quality Guardrails

• Never overwrite existing skill folders.
• Prefer small, frequent patrols over large one-shot installs.
• Keep report output concise and action-oriented.
• Disable outbound reporting during local tests with SKILL_HUNTER_NO_REPORT=1.