菜单
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.
Orchestrate the full edge research pipeline from candidate detection through strategy design, review, revision, and export. Use when coordinating multi-stage edge research workflows end-to-end.
Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure. Use when users ask for かんち式配当投資, dividend screening, dividend growth quality checks, PERxPBR adaptation for US sectors, pullback limit-order planning, or one-page stock memo creation. Covers screening, deep dive, entry planning, and post-purchase monitoring cadence.
Validate multi-skill workflows defined in CLAUDE.md by checking skill existence, inter-skill data contracts (JSON schema compatibility), file naming conventions, and handoff integrity. Use when adding new workflows, modifying skill outputs, or verifying pipeline health before release.
This skill should be used when analyzing sector rotation patterns and market cycle positioning. It fetches sector uptrend data from CSV (no API key required) and optionally accepts chart images for supplementary analysis. Use this skill when the user requests sector rotation analysis, cyclical vs defensive assessment, overbought/oversold identification, or market cycle phase estimation. All analysis and output are conducted in English.
Screen US stocks using William O'Neil's CANSLIM growth stock methodology. Use when user requests CANSLIM stock screening, growth stock analysis, momentum stock identification, or wants to find stocks with strong earnings and price momentum following O'Neil's investment system.
Fetch upcoming economic events and data releases using FMP API. Retrieve scheduled central bank decisions, employment reports, inflation data, GDP releases, and other market-moving economic indicators for specified date ranges (default: next 7 days). Output chronological markdown reports with impact assessment.
| name | skill-idea-miner |
| description | 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. |
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.
python3 scripts/run_skill_generation_pipeline.py --mode weekly~/.claude/projects/timestamp fieldtype: "user", userType: "external")skills/*/ path references)is_error flags, exception keywords)raw_candidates.yamlskills/*/SKILL.md frontmatterlogs/.skill_generation_backlog.yamlgenerated_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"
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"
references/idea_extraction_rubric.md — Signal detection criteria and scoring rubricscripts/mine_session_logs.py — Session log parserscripts/score_ideas.py — Scorer and deduplicator