babysitter:yolo
Start babysitting in non-interactive mode — no user interaction or breakpoints, fully autonomous execution.
npx skills add majiayu000/claude-skill-registry --skill yolo-a5c-ai-babysitter --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.
# babysitter:yolo Identical to `/babysitter:call` but runs in **non-interactive mode**: - **Skip the interview phase** — parse intent directly from the user's prompt - **Auto-approve all breakpoints** — never pause for human approval - **No user questions** — proceed autonomously through the entire orchestration loop ## Workflow 1. Parse the initial prompt to extract intent, scope, and requirements 2. Research the repo structure to understand the codebase 3. Search the process library for relevant specializations/methodologies 4. Create the process .js file and inputs 5. Create the run: ```bash babysitter run:create \ --process-id <id> \ --entry <path>#<export> \ --inputs <inputs-file> \ --prompt "$PROMPT" \ --harness codex \ --session-id "${CODEX_THREAD_ID:-$CODEX_SESSION_ID}" \ --plugin-root "$CODEX_PLUGIN_ROOT" \ --json ``` 6. Iterate until completion — auto-resolve all breakpoints: ```bash babysitter run:iterate .a5c/runs/<runId> --json --iteration <n> ``` For breakpoint effects, immediately post approval: ```bash echo '{"approved":true,"response":"Auto-approved (yolo mode)"}' > tasks/<effectId>/output.json babysitter task:post .a5c/runs/<runId> <effectId> --status ok --value t
- Workflow
- Key Difference from /babysitter:call
babysitter run:create \
babysitter run:iterate .a5c/runs/<runId> --json --iteration <n>
echo '{"approved":true,"response":"Auto-approved (yolo mode)"}' > tasks/<effectId>/output.json
babysitter task:post .a5c/runs/<runId> <effectId> --status ok --value tasks/<effectId>/output.json --jsonWhat does the babysitter:yolo skill do?
Start babysitting in non-interactive mode — no user interaction or breakpoints, fully autonomous execution.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill yolo-a5c-ai-babysitter --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 majiayu000/claude-skill-registry, a repository with 534 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.