mirror of
https://github.com/microsoft/SkillOpt.git
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9799c41461
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>
20 lines
1.0 KiB
Markdown
20 lines
1.0 KiB
Markdown
# SkillOpt-Sleep (Devin)
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You have access to a nightly self-evolution cycle via the `skillopt-sleep` MCP
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server. Use these tools to improve your long-term skills over time:
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- **`sleep_status`** — how many nights have run + the latest staged proposal
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- **`sleep_dry_run`** — preview a cycle without changing anything
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- **`sleep_run`** — run a full cycle; stages a proposal for review
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- **`sleep_adopt`** — apply the staged proposal to `.devin/skills/skillopt-sleep-learned/SKILL.md`
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- **`sleep_harvest`** — debug: list the recurring tasks mined from recent sessions
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- **`sleep_schedule`** / **`sleep_unschedule`** — install/remove a nightly cron run
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When a user asks about the sleep cycle, skill evolution, or improving your
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long-term memory, prefer calling these tools over explaining the concept.
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Default backend is `mock` (no API spend). Pass `backend: "claude"` or
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`backend: "codex"` with your own API key for real LLM-driven optimization.
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Place this file at `.devin/rules/skillopt-sleep.md` in your workspace.
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