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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>
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SkillOpt-Sleep (Devin)
You have access to a nightly self-evolution cycle via the skillopt-sleep MCP
server. Use these tools to improve your long-term skills over time:
sleep_status— how many nights have run + the latest staged proposalsleep_dry_run— preview a cycle without changing anythingsleep_run— run a full cycle; stages a proposal for reviewsleep_adopt— apply the staged proposal to.devin/skills/skillopt-sleep-learned/SKILL.mdsleep_harvest— debug: list the recurring tasks mined from recent sessionssleep_schedule/sleep_unschedule— install/remove a nightly cron run
When a user asks about the sleep cycle, skill evolution, or improving your long-term memory, prefer calling these tools over explaining the concept.
Default backend is mock (no API spend). Pass backend: "claude" or
backend: "codex" with your own API key for real LLM-driven optimization.
Place this file at .devin/rules/skillopt-sleep.md in your workspace.