Skill Idea Miner

Runs weekly to scan your Claude Code session logs and extract potential skill ideas based on what you've actually been doing. It looks for patterns like repeated tool sequences, error clustering, and automation requests, then scores candidates on novelty, feasibility, and trading value before adding them to a backlog. The deduplication uses Jaccard similarity to avoid reinventing existing skills. Honest take: this is meta tooling for people building Claude skills at scale, not something you'd use unless you're running a regular skill generation pipeline. The dry run mode is handy for previewing what it would extract before burning LLM calls on scoring.

skills.sh installs: 3.3K
GitHub stars: 3.7K
last updated: Aug 21, 2026

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Install

$ npx -y skills add tradermonty/claude-trading-skills --skill skill-idea-miner --agent claude-code

Installs into .claude/skills of the current project.

Files

Skill Idea Miner

Automatically extract skill idea candidates from Claude Code session logs, score them for novelty, feasibility, and trading value, and maintain a prioritized backlog for downstream skill generation.

When to Use

Weekly automated pipeline run (Saturday 06:00 via launchd)
Manual backlog refresh: python3 scripts/run_skill_generation_pipeline.py --mode weekly
Dry-run to preview candidates without LLM scoring

Prerequisites

Python 3.10+ with pyyaml package
Claude CLI installed and authenticated (claude --version to verify)
Session logs in ~/.claude/projects/<project>/ (created automatically by Claude Code)
No API keys required (uses Claude CLI for LLM calls)

Workflow

Quick Start

Run these from the repository root, so the backlog is the one the pipeline reads.

# Dry-run: preview mined candidates without LLM scoring
python3 skills/skill-idea-miner/scripts/mine_session_logs.py --dry-run --output-dir reports/

# Full mining with scoring (requires Claude CLI)
python3 skills/skill-idea-miner/scripts/mine_session_logs.py --output-dir reports/

SKILL.md on GitHub