编程

Wanng Ide Auto Skill Hunter

试用

Proactively discovers, ranks, and installs high-value ClawHub skills by mining unresolved user needs and agent context. Use when new tasks are unsolved, when...

它能做什么

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

技能文档

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.
  • 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.

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