Claude Skills by majiayu000

Extract lessons from the current session and route them to the appropriate knowledge layer (project AGENTS.md, auto memory, existing skills, or new skills). Use when the user asks to \"self-improve\", \"distill this session\", \"save learnings\", \"update AGENTS.md with what we learned\", \"capture session insights\", \"remember this for next time\", \"extract lessons\", \"update skills from session\", or \"what did we learn\".

Extract lessons from the current session and route them to the appropriate knowledge layer (project AGENTS.md, auto memory, existing skills, or new skills). Use when the user asks to \"self-improve\", \"distill this session\", \"save learnings\", \"update CLAUDE.md with what we learned\", \"capture session insights\", \"remember this for next time\", \"extract lessons\", \"update skills from session\", or \"what did we learn\".

Extract lessons from the current session and route them to the appropriate knowledge layer (project AGENTS.md, auto memory, existing skills, or new skills). Use when the user asks to \"self-improve\", \"distill this session\", \"save learnings\", \"update CLAUDE.md with what we learned\", \"capture session insights\", \"remember this for next time\", \"extract lessons\", \"update skills from session\", or \"what did we learn\".

Curate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, extract recurring solutions into reusable skills. Use when: (1) reviewing what Claude has learned about your project, (2) graduating a pattern from notes to enforced rules, (3) turning a debugging solution into a skill, (4) checking memory health and capacity.

View active session status with progress and context information

Use when working on complex multi-step tasks, when a session is getting long (40+ tool calls), when the agent starts ignoring rules it followed earlier, when conventions drift, when output quality seems to degrade, or after any context compaction event. Prevents long-session corruption AND context compaction amnesia through behavioral self-enforcement.

This skill should be used after productive sessions to extract learnings and route them to appropriate Reusable Intelligence Infrastructure (RII) components. Use when corrections were made, format drift was fixed, new patterns emerged, or the user explicitly asks to "harvest learnings" or "capture session intelligence". Transforms one-time fixes into permanent organizational knowledge by implementing updates across multiple files.

会话总结技能，用于总结当前会话的上下文，包括已完成的任务、技术决策和下一步计划。使用此技能生成交接文档，以便在不丢失关键上下文的情况下开始新会话。

Session management, conversation history, and checkpoints

Local-first brain for OpenClaw. Offline, learns with use.

Enforce line budgets and rotate or split large context files.

Enforce line budgets and rotate or split large context files.

Use this skill to Record Information into the Starlight Vaults.

Use this skill to Record Information into the Starlight Vaults.

Chase down answers before asking. Hunt the archive. Forces Claude to search before questioning, preventing redundant questions about concepts already documented in theory/tiers/ and memory.

Token-optimized structural code search using tree-sitter AST parsing. Use instead of reading full files when you need to understand code structure, find functions, or explore a codebase efficiently.

This skill provides secure SQLite memory access with a 5-level Access Control List (ACL) system, integrating with Redis for session management and caching. The implementation includes encrypted query patterns, TTL-based expiration, comprehensive test coverage, and a CLI wrapper for agent-accessible memory operations.

Memory health dashboard showing line counts, topic files, capacity, stale entries, and recommendations.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

This skill provides on-demand access to the unified event stream - all

Use SwarmVault when the user needs a local-first knowledge vault that writes durable markdown, graph, search, dashboard, review, context-pack, task-ledger, retrieval, and MCP artifacts to disk from books, notes, transcripts, exports, datasets, slide decks, files, URLs, code, and recurring source workflows.

Manage persistent context threads for cross-session work

'- Run at the start of every session and whenever prompt sizes or tool

Semantic tool search with embeddings for scalable tool discovery. Enables on-demand tool loading to reduce context usage by 90%+ for large tool libraries.

Update development memory (events.jsonl) based on commit metadata and diff analysis. Automatically tracks features, fixes, refactorings, and decisions.

Use when project knowledge could help - queries Kodex topics and flags outdated information

Persistent vector memory for Claude Code via LanceDB. Use when: remembering across sessions, storing lessons, recalling past decisions, maintaining context continuity. Tools: memory_store, memory_recall, memory_update, memory_forget, memory_merge.

Aiden的个人记忆API。支持向量语义搜索、混合权重模型、多种返回格式。省token模式用format=compact。

Proactive token budget management tool for assessing usage, analyzing task complexity, generating chunking strategies, and creating execution plans that stay within budget limits

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