Files
microsoft-SkillOpt/plugins/copilot
Yifan Yang b701d9b6d9 docs: move SkillOpt-Sleep into the guide; clean docs/sleep; fix guide link
Per maintainer request:
- Remove the internal/scratch docs/sleep/ tree (reports, raw logs, blog run
  JSON, sweep.jsonl) — 23 files — and the root PUBLISHING.md. These were
  working notes, not reference docs.
- Take the dedicated SkillOpt-Sleep content out of the main README (News bullet
  + section) and host it in the rendered guide instead: new section 9 in
  docs/guideline.html (deployment companion, the three plugins, opt-in
  experience replay / dream rollouts) with a sidebar entry.
- Fix the README's opening reference so "Documentation & Reproduction Guide"
  links directly to the rendered GitHub Pages page, not the raw .html source.
- Repoint the now-removed docs/sleep links in the plugin READMEs to the guide
  section.

The plugin code (plugins/, skillopt_sleep/) is unchanged; only docs move.

Co-Authored-By: Claude Opus 4 <noreply@anthropic.com>
2026-06-15 16:20:50 +00:00
..

SkillOpt-Sleep — GitHub Copilot integration

Give Copilot (CLI or VS Code) a nightly sleep cycle via a tiny MCP server that exposes the skillopt_sleep engine as tools. MCP is GitHub's supported way to extend Copilot, so this works across Copilot CLI, VS Code, and other MCP clients with the same server.

What's here

File Purpose
mcp_server.py stdlib-only MCP (stdio) server exposing sleep_* tools
mcp-config.example.json drop-in MCP server config
copilot-instructions.snippet.md paste into .github/copilot-instructions.md

Install

Requires Python ≥ 3.10. No third-party packages — the server is pure stdlib.

  1. Register the MCP server. Add the server to your Copilot MCP config (Copilot CLI: ~/.copilot/mcp-config.json; VS Code: your MCP settings). Use mcp-config.example.json as a template — set SKILLOPT_SLEEP_REPO to this repo's path:

    {
      "mcpServers": {
        "skillopt-sleep": {
          "command": "python3",
          "args": ["/abs/path/SkillOpt-Sleep/plugins/copilot/mcp_server.py"],
          "env": { "SKILLOPT_SLEEP_REPO": "/abs/path/SkillOpt-Sleep" }
        }
      }
    }
    
  2. (Optional) Tell Copilot about it. Append copilot-instructions.snippet.md to your repo's .github/copilot-instructions.md so Copilot reaches for the tools when the user asks to "run the sleep cycle".

Use

Ask Copilot things like "run the sleep cycle", "what did the last sleep propose?", "adopt the staged sleep proposal". Copilot calls the MCP tools: sleep_status, sleep_dry_run, sleep_run, sleep_adopt, sleep_harvest.

Each tool takes optional project, backend (mock/claude/codex), and scope arguments. Default backend is mock (no API spend).

Verify the server directly (no Copilot needed)

printf '%s\n' \
  '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}' \
  '{"jsonrpc":"2.0","id":2,"method":"tools/list"}' \
  | SKILLOPT_SLEEP_REPO="$(pwd)" python3 plugins/copilot/mcp_server.py

You should see the server info and the five sleep_* tools.

Notes / status

  • MCP is the stable, official Copilot extension surface, so this is the most portable of the three integrations (one server → CLI + IDE).
  • The engine and all its controls (gate on/off, multi-rollout, budget, preferences, optimizer/target split) are identical across platforms — see the SkillOpt-Sleep guide section.