Mine Claude Code session logs for skill idea candidates. Use when running the skill generation pipeline to extract, score, and backlog new skill ideas from recent coding sessions.
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Automatically extract skill idea candidates from Claude Code session logs, score them for novelty, feasibility, and work utility, and maintain a prioritized backlog for downstream skill generation.
python3 scripts/mine_session_logs.py~/.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"
lookback_days: 7
sessions_analyzed: 12
candidates:
- id: "raw_20260308_001"
title: "Project Charter Generator"
scanned_projects: ["PycharmProjects-claude-skills-library"]
description: "Generate project charters from requirements."
category: "project-management"
updated_at_utc: "2026-03-08T06:15:00Z"
ideas:
- id: "idea_20260308_001"
title: "Project Charter Generator"
description: "Skill that generates project charters..."
category: "project-management"
scores: {novelty: 75, feasibility: 60, work_utility: 80, composite: 72.5}
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 deduplicatorNo reviews yet. Tell others what you thought.
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Track and update action item status from natural language updates like 'Seanのメールには返信しておいた' or 'Lu対応予定'. Integrates with daily-comms-ops workflow. Use when managing action items across communication channels.
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AI活用提案の専門コンサルタントスキル。LLM・AIエージェントの活用事例知識を基に、業界別、部門別、シーン別に最適なAI導入提案を行います。システム化、業務改善、効率化を得意とし、具体的な活用事例、期待効果、導入ステップを含む実践的な提案を提供します。Use when proposing AI/LLM adoption strategies for specific industries, departments, or business scenarios.
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Generate AI-powered BPO service proposals for Japanese companies in the US market. Use when creating outsourcing proposals with AI service menus, ROI estimation, implementation roadmaps, and bilingual (JA/EN) proposal documents for 在米日系企業向けAI実装.
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AI（LLM）が生成した日本語テキストの「AI臭」を検出・診断し、人間らしい文章にリライトするスキル。 Use when: 「AIっぽい文章を直して」「人間らしくリライトして」「AI臭を消して」「この文章をもっと自然にして」 「テキストのAI感を減らして」「機械っぽさを取りたい」 "make this sound more human", "remove AI tone", "humanize this text", "detect if this is AI-generated". 6つのAI特有パターン（視覚的マーカー、単調なリズム、マニュアル的構成、非コミット姿勢、抽象語の濫用、 定型メタファー）を正規表現ベースで検出し、0-100のAI臭スコアを算出。3つの人間化技法 （バランスを崩す・客観を崩す・論理を崩す）でリライトを実行する。 Note: 検出スクリプトは日本語テキスト専用。英語テキストの場合はClaude自身がreferences/を参照して分析・リライトする。
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Generate audit-ready internal control design documents from As-Is business process inventories. Produces control IDs, assertion mappings, procedures, SoD analysis, KPIs, materiality thresholds, and implementation roadmaps. Use when building internal controls for new audit engagements, SOX/J-SOX compliance, or process improvement initiatives.
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Review audit-related documents (control design documents, bottleneck analyses, requirements definitions, etc.) for quality, scoring them 0-100 with a severity-rated findings list. Use when reviewing audit documents, checking control design quality, or verifying cross-document consistency. Supports documents governed by US GAAP, IFRS, or J-GAAP.
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