Persistent memory system for Claude Code. Two-layer architecture (hot cache + knowledge wiki), safety hooks, /close-day end-of-day synthesis. Zero external dependencies.
The English summary is being prepared. Showing the original description.
15 skills · sorted by relevance
Persistent memory system for Claude Code. Two-layer architecture (hot cache + knowledge wiki), safety hooks, /close-day end-of-day synthesis. Zero external dependencies.
The English summary is being prepared. Showing the original description.
Capture and serialize project state, architectural decisions, and working context. Use when preserving knowledge for later sessions, handoffs, or searchable context retrieval.
The English summary is being prepared. Showing the original description.
Restore saved project context, architectural decisions, and work state. Use when resuming interrupted work, retrieving prior context, or merging context across sessions.
The English summary is being prepared. Showing the original description.
Run a session retrospective that surfaces context-management gaps and routes them to approved follow-up actions.
The English summary is being prepared. Showing the original description.
Context management specialist for multi-agent workflows and long-running tasks. Use when coordinating multiple agents, preserving context across sessions, or managing complex project state. Focuses on context compression and distribution.
The English summary is being prepared. Showing the original description.
Implements hub-and-spoke lazy loading to minimize token usage in large skills. Use when building multi-module skills that need conditional on-demand loading.
The English summary is being prepared. Showing the original description.
当需要为 AI 设计记忆存储、检索、应用和更新机制时调用此 skill。典型场景包括:设计持久化记忆架构(用户偏好、历史上下文、项目知识)、定义记忆的创建/读取/更新/删除生命周期、实现静默记忆应用(不在回复中透露记忆内容)、管理敏感记忆边界。 不适用于:定义工具接口(tool-specification)、定义安全规则(safety-guardrails)、定义人格风格(personality-system)。 关键 trigger 信号:AI 需要跨会话记住用户信息、记忆内容可能敏感、需要在回复中隐式应用记忆而非显式引用、用户要求"记住这个"。
The English summary is being prepared. Showing the original description.
当系统提示词需要设计 token 预算分配、上下文压缩策略、延迟加载机制、记忆持久化方案时调用此 Skill。适用于长对话 AI 助手、代码编辑器集成、研究型 Agent、多会话系统等需要精细管理上下文窗口的场景。不适用于:单轮交互系统(无上下文管理需求)、纯无状态 API(无对话历史)、简单的 prompt 模板设计。当需求聚焦于"如何搜索外部信息"而非"如何管理已有信息"时,应该用 search-integration 而非本 Skill。
The English summary is being prepared. Showing the original description.
分析當前專案的 Claude Code session 資料,產出 context 效率報告(模型用量、工具效率、委派比例、TodoWrite 使用率)。搭配 context-management.md 使用。
The English summary is being prepared. Showing the original description.
AI internal coordination using stigmergic signals — managing information freshness in context and memory, decay rates for assumption staleness, and emergent coherent behavior from simple local protocols. Use during complex tasks where multiple sub-tasks must coordinate, when context has grown long and information freshness is uncertain, after context compression when information may have been lost, or when sub-task outputs need to feed into each other cleanly without degradation.
The English summary is being prepared. Showing the original description.
Configure Claude as a "Pair Hunter" — autonomous overnight hacking, context management via per-target .claudemd files, sub-agent compaction avoidance, and scope enforcement. Based on Critical Thinking Bug Bounty Podcast Episode 166.
The English summary is being prepared. Showing the original description.
Run a session retrospective that surfaces context-management gaps and routes them to approved follow-up actions.
The English summary is being prepared. Showing the original description.
Use when working with context management context save
The English summary is being prepared. Showing the original description.
Use when working with context management context restore
The English summary is being prepared. Showing the original description.
Run a session retrospective that surfaces context-management gaps and routes them to approved follow-up actions.
The English summary is being prepared. Showing the original description.