skill-idea-miner

Q: How do I install skill-idea-miner?

Run npx skills add https://github.com/tradermonty/claude-trading-skills --skill skill-idea-miner in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/skill-idea-miner/ (personal) or .claude/skills/skill-idea-miner/ (project).

by tradermontyBusiness & Finance

Mine Claude Code session logs for skill idea candidates. Use when running the weekly skill generation pipeline to extract, score, and backlog new skill ideas from recent coding sessions.

Installs: 3.2K
Last 24h: +19
Trending rank: #5968
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/tradermonty/claude-trading-skills --skill skill-idea-miner

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads skill-idea-miner automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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

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

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

# Score existing candidates
python3 scripts/score_ideas.py \
  --candidates reports/raw_candidates.yaml \
  --output-dir logs/

Stage 1: Session Log Mining

Enumerate session logs from allowlist projects in ~/.claude/projects/
Filter to past 7 days by file mtime, confirm with timestamp field
Extract user messages (type: "user", userType: "external")
Extract tool usage patterns from assistant messages
Run deterministic signal detection:
- Skill usage frequency (skills/*/ path references)
- Error patterns (non-zero exit codes, is_error flags, exception keywords)
- Repetitive tool sequences (3+ tools repeated 3+ times)
- Automation request keywords (English and Japanese)
- Unresolved requests (5+ minute gap after user message)
Invoke Claude CLI headless for idea abstraction
Output raw_candidates.yaml

Stage 2: Scoring and Deduplication

Load existing skills from skills/*/SKILL.md frontmatter
Deduplicate via Jaccard similarity (threshold > 0.5) against:
- Existing skill names and descriptions
- Existing backlog ideas
Score non-duplicate candidates with Claude CLI:
- Novelty (0-100): differentiation from existing skills
- Feasibility (0-100): technical implementability
- Trading Value (0-100): practical value for investors/traders
- Composite = 0.3 * Novelty + 0.3 * Feasibility + 0.4 * Trading Value
Merge scored candidates into logs/.skill_generation_backlog.yaml

Output Format

raw_candidates.yaml

generated_at_utc: "2026-03-08T06:00:00Z"
period: {from: "2026-03-01", to: "2026-03-07"}
projects_scanned: ["claude-trading-skills"]
sessions_scanned: 12
candidates:
  - id: "raw_2026w10_001"
    title: "Earnings Whispers Image Parser"
    source_project: "claude-trading-skills"
    evidence:
      user_requests: ["Extract earnings dates from screenshot"]
      pain_points: ["Manual image reading"]
      frequency: 3
    raw_description: "Parse Earnings Whispers screenshots to extract dates."
    category: "data-extraction"

Backlog (logs/.skill_generation_backlog.yaml)

updated_at_utc: "2026-03-08T06:15:00Z"
ideas:
  - id: "idea_2026w10_001"
    title: "Earnings Whispers Image Parser"
    description: "Skill that parses Earnings Whispers screenshots..."
    category: "data-extraction"
    scores: {novelty: 75, feasibility: 60, trading_value: 80, composite: 73}
    status: "pending"

Resources

references/idea_extraction_rubric.md — Signal detection criteria and scoring rubric
scripts/mine_session_logs.py — Session log parser
scripts/score_ideas.py — Scorer and deduplicator

FAQ

What does the skill-idea-miner skill do?

Mine Claude Code session logs for skill idea candidates. Use when running the weekly skill generation pipeline to extract, score, and backlog new skill ideas from recent coding sessions.

How do I install skill-idea-miner?

Run npx skills add https://github.com/tradermonty/claude-trading-skills --skill skill-idea-miner in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/skill-idea-miner/ (personal) or .claude/skills/skill-idea-miner/ (project).

Which AI agents can use skill-idea-miner?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is skill-idea-miner safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains skill-idea-miner?

It is published by tradermonty in tradermonty/claude-trading-skills. It has 3,157 recorded installs.