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/self-customize

Customize your own agent — add capabilities, install packages, add MCP servers, edit code or CLAUDE.md. Use when the user asks you to add a feature, install a tool, or modify how you work. For non-trivial code changes, delegate to a builder agent via create_agent.

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nanoclaw
31k64 skills

Claude Code

$ npx -y skills add nanocoai/nanoclaw --skill self-customize --agent claude-code

SKILL.md

self-customize.SKILL.md
name: self-customize
description: Customize your own agent — add capabilities, install packages, add MCP servers, edit code or CLAUDE.md. Use when the user asks you to add a feature, install a tool, or modify how you work. For non-trivial code changes, delegate to a builder agent via create_agent.

Self-Customization

You can modify your own environment. Different kinds of changes have different workflows.

Decision Tree

**What needs to change?**

  • **Memory or standing instructions** → Edit `memory/` or `instructions.prepend.md` directly, no approval needed. The workspace is persisted on the host. The composed provider document (`CLAUDE.md` or `AGENTS.md`) is regenerated every spawn and must not be edited.
  • **System package (apt) or global npm package** → `install_packages`. Requires admin approval. On approval, image rebuild + container restart happen automatically.
  • **MCP server** → `add_mcp_server`. Requires admin approval. On approval, container restarts with the new server wired up (no rebuild — bun runs TS directly).
  • **Your source code or Dockerfile** → Delegate to a builder agent via `create_agent` (see below).
  • **A new specialist capability** → `create_agent` to spin up a dedicated agent for it.

Workflow: Code Changes via Builder Agent

For anything that requires editing source files (your own code, Dockerfile, etc.), **do not edit directly** — delegate to a builder agent. This gives the user a reviewable boundary and keeps your main session focused.

1. Describe what you need changed in concrete terms (files, behavior, acceptance criteria) 2. Call `create_agent({ name: "Builder", instructions: "<builder prompt>" })` — the returned agent group ID is your builder 3. Call `send_to_agent({ agentGroupId, text: "<task description with specific files and changes>" })` 4. The builder works in its own container, makes the changes, and reports back 5. You review the builder's summary and confirm with the user. Source-code edits inside `/app/src` are picked up automatically on the next container start — no rebuild step needed (bun runs TS directly). If the builder also installed packages, its own `install_packages` approval will have rebuilt the image.

Builder Agent Instructions (use as CLAUDE.md when creating)

You are a builder agent. Your job is to make precise, minimal code changes to NanoClaw source files when the main agent requests it.

## Rules

- **Minimal scope.** Only change what was requested. Do not refactor surrounding code, "improve" unrelated files, or add features not asked for.
- **Diff size limits.** Reject any change that exceeds 200 new lines or 150 modified lines in a single task. If the change is larger, push back and ask for it to be split into smaller tasks.
- **Read before writing.** Always read the target file fully before editing. Understand the existing patterns.
- **Test if possible.** If there are relevant tests, run them after your change.
- **Report back.** When done, use send_to_agent to tell the requesting agent: (a) what files you changed, (b) a summary of the changes, (c) any follow-up needed (rebuild, tests, migrations).
- **No silent failures.** If you can't complete the task, explain why — don't produce partial work without flagging it.

## Safety

- Never edit files outside the requested scope
- Never commit or push anything
- Never modify secrets, credentials, or .env files
- If a change would break existing tests, stop and report

Diff Size Limits — Why

A 50-line focused change is reviewable. A 500-line sweep is not. Hard limits force the agent to decompose work into reviewable chunks, which:

  • Makes human approval meaningful (you can actually read 150 lines)
  • Catches runaway edits early (if the first task hits the limit, the scope was wrong)
  • Forces clear acceptance criteria per task

The limits are **per builder task**, not per session. A 500-line feature is fine as 4 sequential builder tasks of ~125 lines each, each with its own scope.

Example: Adding a New MCP Tool to Yourself

User: "Can you add a tool for reading RSS feeds?"

1. Check [mcp.so](https://mcp.so) for an existing RSS MCP server 2. If one exists → `add_mcp_server({ name: "rss", command: "npx", args: ["some-rss-mcp"] })` → admin approves → container restarts with the new server → done 3. If nothing suitable exists → delegate to a builder agent:

  • `create_agent({ name: "RSS Tool Builder", instructions: "<builder prompt from above>" })`
  • `send_to_agent({ agentGroupId, text: "Add an MCP tool 'read_rss' to container/agent-runner/src/mcp-tools/. It should fetch an RSS URL and return the latest N items. Register it in mcp-tools/index.ts. Target: <200 new lines." })`
  • Wait for builder's report — new tool code is picked up on the next container start (bun runs TS directly)

Example: Installing a System Tool

User: "Can you transcribe audio?"

1. Check what's available — `which ffmpeg` (likely not installed in base image) 2. Decide approach: `@xenova/transformers` (npm, workspace-local) or `whisper.cpp` (apt + compile) 3. For persistent system tool: `install_packages({ apt: ["ffmpeg"], npm: ["@xenova/transformers"], reason: "Audio transcription for voice messages" })` 4. Wait for admin approval — on approve, the image is rebuilt and your container is restarted automatically 5. Test the new capability once the container restarts

When NOT to Self-Customize

  • **The change is for a one-off task** — just do it in your workspace, don't modify the container
  • **The request is ambiguous** — ask the user what they actually need before spinning up builders or requesting installs
  • **You don't know if it will work** — prototype in your workspace first (`pnpm install` in `/workspace/agent/`), then promote to container-level install if it proves useful
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A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs directly on Anthropic's Agents SDK

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Questions about self-customize.

Which coding agents can use self-customize?
self-customize installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.