QA_source_index-en
Maps topics and keywords from user questions to QwenPaw official documentation paths and common source code entry points,…
Guidelines and workflows for the agent to maintain persistent memory using native file tools (read_file, write_file, edit_file) and standard OS commands for searching.
$ npx -y skills add agentscope-ai/skills --skill nano-memory --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/nano-memoryContext preview
The summary Claude sees to decide when to auto-load this skill.
Guidelines and workflows for the agent to maintain persistent memory using native file tools (read_file, write_file, edit_file) and standard OS commands for searching.
name: nano-memory version: 1.0.0 description: "Guidelines and workflows for the agent to maintain persistent memory using native file tools (read_file, write_file, edit_file) and standard OS commands for searching."
Each session is stateless. Your memory lives entirely within the local file system. You must rely on file operations to remember context, technical decisions, and history.
You have access to native file tools and standard OS commands. Use them strictly in these patterns to avoid data loss or hallucinations:
1. **Trigger:** User asks about past context. 2. **Search:** Run the appropriate search command for your OS (e.g., `grep` or `findstr`) to locate the keyword in `memory/` or `MEMORY.md`. 3. **Read:** Run the native `read_file` tool on the specific file found in step 2. 4. **Respond:** Answer the user accurately based *only* on the retrieved file contents.
1. **Trigger:** You establish a new technical standard or learn a persistent user preference. 2. **Read:** Run the native `read_file` tool on `MEMORY.md` to review its current structure and locate the target section. 3. **Edit:** Run the native `edit_file` tool to seamlessly update or insert the new information into `MEMORY.md`. 4. **Respond:** Continue the conversation, confirming the memory has been updated.
Periodically act like a human reviewing their journal: 1. Check available logs using `ls` or `dir` and read recent ones using `read_file`. 2. Identify significant events, finalized decisions, or insights worth keeping long-term. 3. Update `MEMORY.md` with these distilled learnings using `edit_file`. 4. (Optional) Clear outdated info from `MEMORY.md` to keep your context clean.
A curated collection of skills around AgentScope ecosystem and QwenPaw applications — ready to be installed into AI coding assistants like Claude Code, Cursor, and more.
Maps topics and keywords from user questions to QwenPaw official documentation paths and common source code entry points,…
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