
Claude Skills by majiayu000
github.com/majiayu000Use when gathering or interpreting requirements, estimating effort, or communicating with stakeholders/customers about what to build
Confirmation emails and calendar invitations for workshop or cohort attendance.
Notification that a scheduled workshop or session has been cancelled.
Design and facilitate effective workshops with agendas, activities, and outcomes
太子向皇上呈报重要事项时的格式化模板——背景、分析、建议选项(附利弊)、请求裁决
[10] INIT. Session-start routine for this project. Use when beginning a new session or onboarding to this repo to load AGENTS.md, MEMORY.md and core project context (README), then summarize context and confirm readiness.
Interleaves context from recently active Claude/Amp threads into current activity via random walk.
Recover work context after session restart, context compaction, or interruption. Use when resuming after a break, restoring task state from current-task.md, or re-establishing Linear sync.
Agent skill for memory-coordinator - invoke with $agent-memory-coordinator
Scan the current chat session for durable learnings (clarifications, corrections, decisions, pitfalls) and update .agent/memory.md. Use after critical review and before concluding work.
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
Record research observations into AGET KB without committing specs. Use when discovering vocabulary candidates, RQ proposals, web findings, patterns, or observations mid-session that should be preserved before continuing.
Record research observations into AGET KB without committing specs. Use when discovering vocabulary candidates, RQ proposals, web findings, patterns, or observations mid-session that should be preserved before continuing.
Record research observations into AGET KB without committing specs. Use when discovering vocabulary candidates, RQ proposals, web findings, patterns, or observations mid-session that should be preserved before continuing.
Record research observations into AGET KB without committing specs. Use when discovering vocabulary candidates, RQ proposals, web findings, patterns, or observations mid-session that should be preserved before continuing.
Record research observations into AGET KB without committing specs. Use when discovering vocabulary candidates, RQ proposals, web findings, patterns, or observations mid-session that should be preserved before continuing.
Record research observations into AGET KB without committing specs. Use when discovering vocabulary candidates, RQ proposals, web findings, patterns, or observations mid-session that should be preserved before continuing.
Step-by-step guidance for AI context.
Use when a debugging session, research, or investigation yields non-obvious findings worth preserving for future sessions.
Search, recover, and analyze AI session histories across Claude Code, AI Studio, and Gemini CLI. Use when user asks to "find that file from last week", "search sessions", "recover context after compaction", "what did the AI do", "export session to markdown", "find corrections", "analyze session quality", "improve CLAUDE.md from past mistakes", or "turn AI mistakes into rules". Contains session search, file recovery, correction detection, self-improvement workflow.
Toggle auto_update_enabled kill switch for automatic memory updates
Toggle auto_update_enabled kill switch for automatic memory updates
Display current memory system configuration and settings
Display current memory system configuration and settings
Archive session learnings, debugging solutions, and deployment logs to .archive/yyyy-mm-dd/ as indexed markdown with searchable tags. Use when completing a significant task, resolving a tricky bug, deploying, or when the user says \"archive this\". Maintains .archive/MEMORY.md index for cross-session knowledge reuse.
Search raw session transcripts for technical details and reasoning traces
Add images, documents, or other non-text files to a person's artifacts
This skill should be used when the user asks to "create a bootstrap prompt", "handoff", "save session state", "continue in new session", "create handoff", "session summary for continuation", "bootstrap for fresh session", or wants to capture the current session state for resumption in a new Claude Code session.
Trim transcript clutter to extend session lifetime — analyze, prune a copy, or toggle the after-each-turn service. Dry-run by default; gains land at resume/compaction, not the current turn.
Analyze recent conversation context and capture learnings to project knowledge files (for project-specific insights) or skills/commands/subagents (for cross-project patterns). Use when the user asks to "capture this learning", "update the docs with this", "remember this for next time", "document this issue", "add this to CLAUDE.md", "save this knowledge", or "update project knowledge". Also triggers after resolving build/setup issues, discovering non-obvious patterns, or completing debugging ...
Save important context to persistent memory for future sessions. PROACTIVELY USE THIS when you detect: - Decisions: "let's go with", "decided to", "chose", "went with" - Learnings: "I learned", "turns out", "TIL", "realized", "discovered" - Errors resolved: "fixed", "the problem was", "solution was" - Client info: names, emails, phone numbers, addresses, invoice amounts - Preferences: "I prefer", "I like", "don't like", "always use" - References: API keys locations, file paths, URLs, credent...
Sync conversation history from .codex/sessions to .claude.json for context preservation
Archived skill guidance for cfn-mdap-context-injection.
Data persistence for CFN Loop - SQLite storage, Redis coordination, automatic memory persistence
Session checkpoint management: save, restore, list, clear state snapshots
How checkpointing works for tracking file changes and rewinding to previous states. Use when user asks about checkpoints, rewinding, rollback, undo, or restoring previous states.
> [!tweet] @zeroxBigBoss · Dec 26, 2025 > the handoff > > Likes: 509 · Replies: 9 · Reposts: 5
Self-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md. Use when discussing learnings, corrections, or when the user mentions remembering something for future sessions.
Manages context overflow by handing off to a fresh subagent at 80% usage. Use when context pressure is critical and work must continue uninterrupted.
Codebase haritasını güncelle. "/codemap-update" komutuyla veya her feature implementation sonrasında otomatik çalışır. Claude'un codebase'de gezinmesini context harcamadan sağlar.
Coding style memory that adapts to your preferences, conventions, and patterns for consistent coding.
Use when the user explicitly asks to save, curate, or consolidate what was learned, or closes a meaningful knowledge-work session. Curates at most three typed, approved knowledge records from existing lessons into docs/knowledge/, checks for duplicates and contradictions, and confirms by naming retrieval tags. No remote, publish, deploy, or irreversible mutation.
Set up conditional documentation loading to prevent context pollution. Use when organizing project docs, implementing progressive disclosure, or reducing CLAUDE.md token consumption with on-demand loading.
High-fidelity context transfer protocol for moving conversations between AI agents. Preserves decision tempo, open loops, and critical context with graceful degradation. Use when the user says "transfer," "handoff," "continue this in another chat," or needs to work around context window limits. Produces structured artifacts (Minimal ~200 words, Full ~1000 words). DO NOT trigger on simple "summarize our conversation" requests—only when transfer intent is explicit.
Получение контекста пользователя и credentials
Context management engine for AI coding agents. Use when building agent memory systems, optimizing context windows, allocating token budgets, designing RAG pipelines for code, or managing persistent multi-session agent state.
Loads and manages company context for all C-suite advisor skills. Reads ~/.claude/company-context.md, detects stale context (>90 days), enriches context during conversations, and enforces privacy/anonymization rules before external API calls.
Advanced 2026 context curation patterns (Nvidia Eureka, Context Hygiene, RLMF) for autonomous agents.