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Found 27 Skills
Harvest coding-agent session transcripts already on disk (Claude Code, Codex, OpenCode, Cursor, Pi) and extract durable knowledge — topics, people, facts, events, quotes — into whatever persistent memory the agent can reach. Cursor-tracked, budgeted, read-only on sources. Use when asked to collect/import/mine session history into memory, build memory from past sessions, or as a scheduled task. Composes with memory-gardener, which tends what this skill plants.
기존 기능의 암묵지를 명세서로 변환하여 as-is Context Pack(주제별 문서 폴더)을 생성하는 스킬. "기능 문서화", "기존 기능 분석", "as-is 정리", "docs/기능별설명 생성" 키워드로 트리거. 신규 기능 Spec이 필요하면 peach-gen-spec을 사용한다.
Ingest Pi coding agent session history into the Obsidian wiki. Use this skill when the user wants to mine their past Pi sessions for knowledge, import their ~/.pi/agent/sessions folder, extract insights from previous coding sessions, or says things like "process my Pi history", "add my Pi sessions to the wiki", "ingest ~/.pi", or "what have I worked on in Pi". Also triggers when the user mentions Pi sessions, Pi agent history, ~/.pi/agent/sessions, or Pi conversation logs.
Parse ebooks, extract concepts and entities with citation traceability, classify by type/layer, and synthesize across book collections.
Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. BOOTSTRAP MODE - Triggers: "Create a data context skill", "Set up data analysis for our warehouse", "Help me create a skill for our database", "Generate a data skill for [company]" → Discovers schemas, asks key questions, generates initial skill with reference files ITERATION MODE - Triggers: "Add context about [domain]", "The skill needs more info about [topic]", "Update the data skill with [metrics/tables/terminology]", "Improve the [domain] reference" → Loads existing skill, asks targeted questions, appends/updates reference files Use when data analysts want Claude to understand their company's specific data warehouse, terminology, metrics definitions, and common query patterns.
Use this tool when you are completing project work and need to extract reusable knowledge from project notes. It is triggered by commands such as "organize assets", "refine", during project retrospectives, or in high-context debugging sessions that reveal valuable patterns. Trigger commands: /asset-refine, /asset-extract
Coordinate PR mining to extract tribal knowledge and coding standards from GitHub PR history. Use when mining review comments, extracting coding rules, tracking mining jobs, or analyzing reviewer patterns across repositories. Use for "mine PRs", "extract standards", "coding rules from reviews", or "reviewer patterns". Do NOT use for code review, linting, static analysis, or writing new coding standards from scratch without PR data.
Extracts key learnings from conversations, debugging sessions, and failed attempts. Use at session end or after solving complex problems to capture insights. Stores discoveries in memory (via amplihack.memory.discoveries), suggests PATTERNS.md updates, and recommends new agent creation. Ensures knowledge persists across sessions via Kuzu memory backend.
Ingest Codex CLI conversation history into the Obsidian wiki. Use this skill when the user wants to mine their past Codex sessions for knowledge, import their ~/.codex folder, extract insights from previous coding sessions, or says things like "process my Codex history", "add my Codex conversations to the wiki", or "what have I discussed in Codex before". Also triggers when the user mentions .codex sessions, rollout files, session_index.jsonl, or Codex transcript logs.
Extract tacit engineering knowledge through guided interviews and generate structured steerings. Use when user mentions "steerings", "tacit knowledge", "conventions", "engineering practices", "interview", or wants to document team/project knowledge. Also activates when user asks for "steerings for X", "document X conventions", "continue steerings", "resume interview", or wants to extract knowledge about a specific topic. Supports reviewing and transforming existing steerings to standard format. Auto-detects existing sessions and offers to continue incomplete ones.
This spell is archaeology, not history research. It operates on specific artifacts from a specific dead system to answer specific questions. It is NOT general tech history, NOT interviewing living people, and NOT monitoring live systems.
Through consecutive, non-leading interviews, this Skill organizes the externalizable portions of users' under-articulated experiences, insights, practical knowledge, judgments, creative choices, life transitions, relationship changes, or unformed ideas into inspectable, revisable, reusable explicit knowledge. It consistently delivers complete interview transcripts and reader-oriented, logically coherent knowledge articles. Use when the user wants an AI interview to clarify experience or unfinished thinking. Do not use for transcription, editing, topic selection, or polishing an existing draft.