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SkillsMP has collected 5,485 skills from majiayu000/claude-skill-registry. Open a skill to review its source and details.
majiayu000/claude-skill-registryShowing 40 of 5,485 collected skills.
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…
Write compact session handoffs.
Write compact session handoffs.
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",…
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…
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.
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.
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.
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)
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).
Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
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.
Index a folder's contents into the context system for fast retrieval
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。
Source text: Chinese
Generate $HOME/.claude/CLAUDE.md with AI-driven environment detection and advanced configuration options
Use to set up Obsidian vault and populate it with existing codebase knowledge. Enables context memory for AI development.
Load relevant .agents context.
Load relevant .agents context.
Load relevant .agents context.
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…
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.
4-phase context retrieval protocol for subagents — Dispatch, Evaluate, Refine, Loop
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".
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".
Activate mature .agents knowledge.
Activate mature .agents knowledge.
Display knowledge base status and recent learnings
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}…
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…
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.
Use when recording ADRs, saving debug findings, persisting patterns, or referencing past decisions in docs/
Updates the system knowledge base with new best practices and constraints.
(ePost) Use after completing a task — capture learnings, save patterns, record post-mortems to docs/
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…
Process external resources into stored knowledge with quality evaluation, curation routing, and application decisions.
Searches and navigates stored knowledge in memory palaces. Use when looking for previously stored information or cross-referencing concepts across palaces.
(ePost) Use when you need prior art, past decisions, or existing patterns — checks docs/, skills, and RAG before external sources
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.
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.
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…