skillopt-sleep
Reference-only OpenClaw adaptation of SkillOpt-Sleep. Use it to study or port the contributed DeepSeek wrapper, not as a ready-to-run installation.
Profile →npx skills add microsoft/SkillOpt --skill openclaw --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# SkillOpt-Sleep OpenClaw reference adaptation This directory is a contributed **reference**, not a supported, plug-and-play OpenClaw integration. It illustrates one way to connect the shared `skillopt_sleep` cycle to a custom DeepSeek Chat Completions backend and a set of environment-specific task fixtures. Do not run or schedule the files unchanged. Several scripts and the sample configuration preserve assumptions from the contributor's original machine, and parts of the wrapper have not yet been ported to the current shared-engine interfaces. Start with the directory's [README.md](README.md), which is the authoritative status and adaptation guide. ## What is included - `skillopt_sleep_openclaw.py` — a contributed DeepSeek backend prototype. It also contains an Ollama embedding helper, but that helper is not wired into the current shared sleep cycle. - `run_sleep.py` — a custom cycle wrapper with environment-specific paths and a backend-registration shim. - `slash_sleep.py` — an experimental command helper written for an older staging-manifest shape. - `run_sleep_cron.sh` — a machine-specific category runner, not a portable cron installer. - `config.json` — a sample configuration
- What is included
- Known porting gaps
- Shared-engine features are not wrapper features
- Data and credential boundary
- Further information
What does the skillopt-sleep skill do?
Reference-only OpenClaw adaptation of SkillOpt-Sleep. Use it to study or port the contributed DeepSeek wrapper, not as a ready-to-run installation.
How do I install it?
Run `npx skills add microsoft/SkillOpt --skill openclaw --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From microsoft/SkillOpt, a repository with 15,586 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.