Mirror the copilot MCP server: same rich _TOOL_SCHEMA (source, model,
tasks_file, target_skill_path, max_sessions, max_tasks, lookback_hours,
auto_adopt, json, edit_budget, hour, minute) and generic flag forwarding, plus
sleep_schedule / sleep_unschedule. Devin specifics retained: the ATIF-v1.7
harvest step (run before data-reading actions, engine pointed at it via
--claude-home, default --source claude) and post-adopt sync into .devin/skills/.
Tests + README + rules snippet updated for the 7-tool interface.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Wires the skillopt_sleep engine into Devin (Cognition) via an MCP server,
following the same thin-shell pattern as plugins/copilot.
- mcp_server.py: stdlib-only stdio MCP server exposing the standard sleep_*
tools (status, dry-run, run, adopt, harvest). REPO_ROOT defaults to ../.. so
it finds skillopt_sleep automatically when run from plugins/devin/.
- harvest_devin.py: converts Devin ATIF-v1.7 transcripts, agentmemory, and
.devin/skills/*/SKILL.md into the Claude Code-compatible JSONL the engine
consumes; enriches with taskKey + outcome envelopes (hard test/build signal
or judge rubric). Workspace auto-detection; cross-platform paths.
- judge.py, mcp-config.example.json, devin-rules.snippet.md, README.md.
- plugins/README.md: add Devin to the platform + install tables.
No changes to skillopt_sleep; shells out to `python -m skillopt_sleep` like the
other plugins. Pure stdlib; default backend mock (no API spend).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
