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How to store and retrieve persistent memories using CAS. Use for facts, preferences, learnings, and context that should persist across sessions. Trigger when discovering patterns, fixing bugs, resolving config issues, or learning how unfamiliar code works.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Search across CAS content (memories, tasks, rules, skills, code). Use when needing to find information, understand codebase, or locate specific patterns. Supports hybrid BM25+semantic search, code symbol search, grep, context, and entity operations.
Coding Agent System - unified memory, tasks, rules, and skills. Use when you need to remember something, track work, search past context, or manage tasks. (project)
Quick startup checklist for factory supervisors. Use at the beginning of a factory session to load context, check EPICs, and confirm worker availability.
Factory supervisor guide for multi-agent EPIC orchestration. Use when acting as supervisor to plan EPICs, spawn and coordinate workers, assign tasks, monitor progress, and merge completed work. Covers worker count strategy, conflict-free task coordination, epic branch workflow, and completion verification.
How to track work using CAS tasks instead of built-in TodoWrite. Use for persistent task tracking with priorities, dependencies, structured notes, and cross-session continuity.
Factory worker guide for task execution in CAS multi-agent sessions. Use when acting as a worker to execute assigned tasks, report progress, handle blockers, and communicate with the supervisor.
| name | cas-memory-management |
| description | How to store and retrieve persistent memories using CAS. Use for facts, preferences, learnings, and context that should persist across sessions. Trigger when discovering patterns, fixing bugs, resolving config issues, or learning how unfamiliar code works. |
| managed_by | cas |
Store memories proactively — don't wait to be asked.
mcp__cas__memory action=remember title="..." content="..." entry_type=learning (types: learning, preference, context, observation)mcp__cas__search action=search query="..." doc_type=entrymcp__cas__memory action=helpful id=<id> — increases priority for future retrieval