菜单
Episodic Memory Archiver. Stores full conversation transcripts with embeddings and analysis into ArangoDB. Use this to save the "User Story" or "Chain of Thought".
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
| name | episodic-archiver |
| description | Episodic Memory Archiver. Stores full conversation transcripts with embeddings and analysis into ArangoDB. Use this to save the "User Story" or "Chain of Thought". |
| allowed-tools | Bash |
| triggers | ["archive conversation","save episode","store transcript","remember this conversation"] |
| metadata | {"short-description":"Analyzes and stores episodic conversation memory"} |
This skill analyzes full conversation transcripts, embeds them for search, and categorizes turns.
# Save a JSON transcript to episodic memory
.agents/skills/episodic-archiver/run.sh archive <transcript.json>
The JSON file should be a list of messages or an object with a messages list:
{
"session_id": "task_123",
"messages": [
{
"from": "Coordinator",
"to": "Worker",
"message": "Please fix the bug...",
"timestamp": 1234567890
},
...
]
}
Data is stored in ArangoDB collection agent_conversations with:
embedding: Vector representation (768d)category: LLM-derived tag (Task, Question, Solution, etc.).env (e.g., ARANGO_URL, ARANGO_DB, ARANGO_USER, ARANGO_PASS).CHUTES_API_KEY or OPENAI_API_KEY (for categorization).File-based inter-agent messaging. Check inbox, send bugs/requests to other projects, acknowledge resolved issues. Use for cross-project agent communication.
Search arXiv for academic papers. Use when user says "find papers on", "search arxiv", "look up research", "academic papers about", "what papers exist on", "use your arxiv tool", or asks about scientific/ML research topics.
Step back and critically reassess project state. Use when asked to "assess", "step back", "fresh eyes", "check alignment", "sanity check", "health check", or "evaluate what's working". Offer to run after major changes (don't auto-run).
Free web and local search via Brave Search API. Use when user says "brave search", "search with brave", "brave web search", "brave local search", "local search", "find businesses near", or "near me".
Submit code review requests to multiple AI providers (GitHub Copilot, Anthropic Claude, OpenAI Codex, Google Gemini) and get patches back. Use when user says "code review", "review this code", "get a patch for", or needs AI-generated unified diffs for code fixes.
Fetch up-to-date library documentation from Context7 API. Use when user asks "how do I use this library", "show me docs for", "library documentation", "API reference for", or needs current documentation for any code library.