The workflow contract for any agent that ingests, retrieves from, or maintains a claude-wiki-pages vault.
Use Okf Skills to have Claude Code produce, validate, migrate, and visualize Open Knowledge Format bundles with provenance, trust, staleness, and CI checks.
Create well-structured notes in Obsidian with intelligent tag suggestions. Use when the user asks to create a note, make a note, or save content to Obsidian.
Filter prefetched memory attachments against cumulative read state before mutating that state, so async surfacing does not dedupe itself away.
Render mathematical formulas in Obsidian using LaTeX/MathJax syntax. Use when writing equations, matrices, integrals, summations, or any mathematical notation in Obsidian notes.
Search this Clayrune project's accumulated memory — prior decisions, conventions, gotchas, and past session outcomes — that are NOT in the auto-loaded MEMORY.md index.
Searches and injects relevant memories into context before starting work on a task. Use when beginning a new task, switching context, or when project history, past decisions, or…
Consolidates stored memories by merging duplicates, resolving contradictions, and pruning stale entries.
Mem0 memory layer integration for AI agents. Implement persistent, semantic memory for long-term context retention and personalization.
用 mem0 MCP 維護跨工具、跨專案的長期記憶——自動記錄可遷移的通用知識，並在相關主題出現時主動回憶。**記錄側觸發**：發現跨專案通用的技術知識或坑（API…
Stores a memory verbatim from user input with appropriate type classification and metadata. Use when the user says remember this, save this, store this, note that, or explicitly…
Views or changes the default memory scope (project, session, or global) used when saving and searching memories.
Searches memories and displays compact one-liner results, or looks up a specific memory by ID. Use for quick memory lookups, checking if a decision was recorded, resolvin — from…
Diagnoses mem0 connectivity, API key validity, and memory read/write functionality. Use when memory operations fail, searches return empty, add_memory errors occur, or to verify…
Browses all stored memories grouped by category with full content display. Use when reviewing all project memories, exploring stored knowledge, onboarding to a project, or getting…
Search shared memories from past sessions. Use when the user's question could benefit from historical context, past decisions, project knowledge, or team expertise.
Setup Mem9 persistent memory. Triggers: set up mem9, install mem9, configure memory, enable memory.
Save important information to shared memory. Use when the user asks you to remember, note down, or save something for future sessions.
Zettelkasten best practices for building a high-quality, long-lived knowledge graph with memex. Reference guide for card writing, naming, tagging, linking, and graph maintenance.
Periodic maintenance of the Zettelkasten card network. Run on a schedule (e.g., daily) to detect orphans, hubs, and contradictions.
Populate or refresh a persistent, high-level project snapshot in memoir. In a git repo this writes `codebase:onboard` (code-shape: modules, goals, rules, lessons) — use when: (1)…
After QA PASS, compare the Story's implementation footprint against relevant memory entries. Reports confirmed entries, contradictions, and new knowledge candidates.
Analyzes conversation history, extracts user preferences and feedback, updates memory files automatically.
Store, retrieve, search, and manage persistent memory across sessions. Triggers on: memory, store, remember, retrieve, forget, pattern, context.
Two-mode skill: (1) session memory — load/persist durable workflow state under .cc10x/ (activeContext, patterns, progress) so context survives compaction; (2) handoff package —…
Cross-reference and synthesise daily memory files into patterns, insights, and carry-forward items. Use when asked to review memory, generate weekly synthesis, find forgotten…
Validate and auto-inject the 11-key provenance frontmatter contract on memory files at write time. Use when authoring memory entries, running lint passes on memory directories, or…
Use ALWAYS. Управление базой знаний memory-compiler. Вызывай при ЛЮБОМ сообщении пользователя кроме приветствий.
Persistent project documentation system that maintains context across sessions. Creates structured Memory Bank files to preserve project knowledge, decisions, and progress.
Create or refresh workspace memory-bank/ (MVP contract + read-only inventory). Path follows STORAGE manifest. No app code; no uv/specify.
Unified memory capture with routing - session compact or quick tips. Triggers on "memory capture", "compact session", "save session", "quick tip", "memory tips", "记录", "压缩会话".
Externalize detailed memory to Memory Bank before conversation summarization to prevent context loss. Triggers: CP, checkpoint, save, 存檔, 記一下, 保存, sync memory, dump, 先記著.
Probe memory/summary clarity via dual anchor questions: task progress, info gaps. Use when verifying session state or summary before handoff or compression.
Use when the user needs to run hoangsa-memory CLI commands — setup / index / query / watch / impact / context / changes / memory / skills / eval / uninstall.
Emergency single-pass memory compression when context window pressure is high mid-task. Activate when approaching token limits during active work.
Complete memory system for OpenClaw agents. Combines behavioral protocol (when to save) + auto-capture (heartbeat-enforced) + keyword search (recall) + maintenance…
Never let your agent forget what matters。Compress verbose daily logs into structured summaries —。Use when 需要AI模型调用、智能对话、Agent编排、LLM应用时使用。不适用于需要100%确定性的关键决策。
日志压缩器免费版提供基础日志压缩能力，将冗长日志压缩为结构化摘要. 核心能力包括：单文件日志压缩、古文压缩四原则、关键词匹配提取、基础边界处理. 适用于 Agent 每日日志归档场景，压缩比约 4 倍. 纯本地 Node.js 脚本运行，无外部依赖，无需 API Key. 如需批量压缩、心跳集成、混合提取引擎等高级能力，请升级到付费版.
Integrated memory management and extreme context compression for OpenClaw. Combines memory management, compression, search, and automation in one unified skill.
Diagnose and configure MemSearch memory behavior for the OpenClaw plugin. Use when the user asks about MemSearch configuration, plugin summarization, PROJECT.md/USER.md…
Persistent memory system for OpenClaw agents: reads session logs, extracts facts/decisions/solutions, manages temperature-based lifecycle, and generates MEMO...
Use when consolidating session signals into curated memory — four-phase loop ORIENT → GATHER → CONSOLIDATE → PRUNE.
Use when implementing or tuning memory consolidation strategies — merge, promotion, deprecation, cross-memory synthesis, scheduling, and decay.
Resume prior work by rebuilding context from the Basic Memory knowledge graph — pick up where you left off using memory:// URLs, recent activity, and search.
Asynchronous reflection and memory integration for genuine AI development. Use on heartbeat to reflect on recent sessions, extract structured memories with confidence sco — from…
Unified Memory Contract for Flowbaby integration. Defines when and how to retrieve and store memory. Load at session start - memory is core to agent reasoning, not optional.
Curate the Basic Memory knowledge graph: find orphan notes and suggest links, propose typed relations, merge duplicates, audit tags and folders, and build hub notes.
Runtime memory-writing discipline for ginnie-agents. Three tiers — rules (always loaded), playbook (always loaded), episodes (lazy-loaded via grep).
Use at session-close when a session captured several new memories, or on-demand, to consolidate, deduplicate, prune, and structure the beads memory store.
Use when a project contains docs/memory/, or when the user asks to remember, retrieve, update, compact, forget, or audit project memory.
Diagnose and fix Signet memory issues (daemon health, embeddings, search quality, and data integrity).
Defragment and reorganize agent memory files: split bloated files, merge duplicates, remove stale information, and restructure the memory hierarchy.
Apply three deterministic heuristics to a single memory-delta file to produce a structured verdict block; invoke memory-ingest on ACCEPTED candidates only in validate mode.
Ensure memory directories exist once and surface consistent guidance so agents skip redundant mkdir calls.
Recall relevant memory before acting; store decisions/outcomes after — persistent cross-goal context.
记忆蒸馏器是面向 AI Agent 日志的智能压缩系统，针对日志膨胀、关键信息丢失、压缩后难回溯、 不同内容需不同策略四大痛点而设计。核心能力包括：分类型差异化压缩策略（事件/教训/待办/成长四类不同粒度）、 压缩溯源链（每个摘要条目保留原始段落定位标记，可一键回溯）、混合提取引擎（关键词匹配+兜底提取+混合模式）、…
记忆蒸馏器免费版提供基础日志蒸馏能力，将冗长日志压缩为结构化摘要. 核心能力包括：单文件日志蒸馏、古文压缩四原则、关键词匹配提取、基础输出格式. 适用于 Agent 每日日志归档场景，压缩比约 4 倍. 纯本地 Node.js 脚本运行，无外部依赖，无需 API Key. 如需分类型差异化压缩、溯源链、质量评估器等高级能力，请升级到付费版.
记忆蒸馏器是面向 AI Agent 日志的智能压缩系统，针对"日志日均膨胀 2500 词、压缩后关键信息丢失、压缩结果难以回溯细节、不同内容需不同压缩策略"四大高频痛点而设计。它借鉴古文压缩哲学（去重复、留转折、去过程、留白），把冗长的原始日志蒸馏为高密度结构化摘要，实现 4-8 倍压缩比且零关键事件损失
Use to store, recall, query, or audit durable project knowledge — atomic facts and compound documents alike — plus a working notepad that survives conversation compaction.
Use when your input is a single-cell gene expression matrix too large to fit in RAM, or you are working in a resource-constrained environment (e.g., shared compute cluster, laptop…