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このリポジトリの skills
SkillsMP は majiayu000/claude-skill-registry から 5,485 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
majiayu000/claude-skill-registry収集済み skill 5,485 件中 40 件を表示しています。
Use when ongoing work must continue in a new conversation, session, or agent with no shared history. Triggers: 'handoff', 'prepare context for next chat', 'summarize for a new session', 'continue this in another conversation'. Not for same-chat status updates…
原文の言語: 英語
Write compact session handoffs.
原文の言語: 英語
Write compact session handoffs.
原文の言語: 英語
Use handoff tools for session continuity. Create handoffs at end of session, read handoffs at start, search past handoffs for context. Trigger words - "handoff", "end session", "wrap up", "continue from", "where we left off", "context high", "running low",…
原文の言語: 英語
Create a structured session handoff document for continuity across sessions. Use when ending a work session, switching contexts, or before a break. Captures decisions, progress, code changes, and next steps so a future session can pick up where you left off…
原文の言語: 英語
Writes comprehensive handoff note at session end. Captures work done, files changed, remaining tasks, and next steps. Use before ending any work session or switching contexts.
原文の言語: 英語
Claude-mem integration setup for cross-session memory and learning. Use when user mentions '/harness-mem', claude-mem integration, cross-session memory, or memory setup. Do NOT load for: app memory/storage features, casual 'remember this' requests.
原文の言語: 英語
Hierarchical memory architecture combining short-term, long-term, and episodic memory layers. Based on Mem0 research showing 26% accuracy improvement. Use for persistent knowledge, context management, and RAG optimization.
原文の言語: 英語
Store team knowledge, project conventions, and learnings from tasks. Use to remember what works and recall context before new tasks. Connects to a self-hosted Hindsight server. (user)
原文の言語: 英語
Background memory organ for AI agents. Runs separately from the main agent—encoding, decaying, and reinforcing memories automatically. Just like the real hippocampus in your brain. Based on Stanford Generative Agents (Park et al., 2023).
原文の言語: 英語
Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
原文の言語: 英語
Analyzes conversation history to improve CLAUDE.md files. Use when you notice patterns in how Claude misunderstands requests, want to consolidate repeated guidance, or improve instruction clarity based on actual usage.
原文の言語: 英語
Index a folder's contents into the context system for fast retrieval
原文の言語: 英語
初始化和增量更新 AI 记忆文件（CLAUDE.md、AGENTS.md、GEMINI.md）。通过交互式选择和差异对比，智能补全记忆项内容。触发条件：当用户提及初始化记忆文件、更新 CLAUDE.md、同步 AI 记忆、init-ai-md 等关键词时主动调用。
原文の言語: 中国語
Generate $HOME/.claude/CLAUDE.md with AI-driven environment detection and advanced configuration options
原文の言語: 英語
Use to set up Obsidian vault and populate it with existing codebase knowledge. Enables context memory for AI development.
原文の言語: 英語
Load relevant .agents context.
原文の言語: 英語
Load relevant .agents context.
原文の言語: 英語
Load relevant .agents context.
原文の言語: 英語
This prompt instructs an AI to read the full user–assistant conversation and produce a structured “Cold Start Summary” that prioritizes the user’s intent, motivations, and evolving requirements, while briefly noting the assistant’s key contributions. The…
原文の言語: 英語
Execute 4-phase loop for progressive context refinement. Use when complex searches require multiple refinement cycles or context gap is unknown. Not for simple file searches or known file locations.
原文の言語: 英語
4-phase context retrieval protocol for subagents — Dispatch, Evaluate, Refine, Loop
原文の言語: 英語
Create a context handoff file, pausing work mid-phase, stopping work temporarily, or creating a checkpoint for session resumption. Triggers include "pause work", "stop work", "create handoff", "save progress", and "pause session".
原文の言語: 英語
Resume work from a previous session, restoring context after a break, continuing work after /clear, or picking up where you left off. Triggers include "resume work", "continue work", "pick up where I left off", "restore context", and "resume session".
原文の言語: 英語
Activate mature .agents knowledge.
原文の言語: 英語
Activate mature .agents knowledge.
原文の言語: 英語
Display knowledge base status and recent learnings
原文の言語: 英語
Design knowledge systems using ontological principles—organizing by what things ARE rather than arbitrary hierarchies. Use when structuring personal knowledge bases, designing documentation systems, creating cross-domain linking patterns, building the {OS.me}…
原文の言語: 英語
Create and manage a layered knowledge base with hot/cold/warm cache tiers. Provides component-based architecture with Working Memory layer, automatic caching, semantic retrieval, and intelligent context assembly. Reduces API costs and supports unlimited…
原文の言語: 英語
Shared foundation for Oracle & Corrector agents. Establishes the source hierarchy for resolving conflicts between documentation, code, and specs. Load this skill first when investigating how the system works.
原文の言語: 英語
Use when recording ADRs, saving debug findings, persisting patterns, or referencing past decisions in docs/
原文の言語: 英語
Updates the system knowledge base with new best practices and constraints.
原文の言語: 英語
(ePost) Use after completing a task — capture learnings, save patterns, record post-mortems to docs/
原文の言語: 英語
Manages persistent Knowledge Graph for specifications. Caches agent discoveries and codebase analysis to remember findings across sessions. Validates task dependencies, stores patterns, components, and APIs to avoid redundant exploration. Use when: you need…
原文の言語: 英語
Process external resources into stored knowledge with quality evaluation, curation routing, and application decisions.
原文の言語: 英語
Searches and navigates stored knowledge in memory palaces. Use when looking for previously stored information or cross-referencing concepts across palaces.
原文の言語: 英語
(ePost) Use when you need prior art, past decisions, or existing patterns — checks docs/, skills, and RAG before external sources
原文の言語: 英語
Extracts knowledge from Amp threads and updates project docs. Use when asked to document recent work, sync docs after an epic, summarize what changed, or update AGENTS.md from thread history.
原文の言語: 英語
Extract insights from multi-agent interactions, identify patterns, and build collective intelligence through cross-agent learning and knowledge management. Use when synthesizing findings, building knowledge bases, or improving system-wide practices.
原文の言語: 英語
Expert knowledge synthesizer specializing in extracting insights from multi-agent interactions, identifying patterns, and building collective intelligence. Masters cross-agent learning, best practice extraction, and continuous system improvement through…
原文の言語: 英語