Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install q00-ouroboros-skills-autogit clone https://github.com/Q00/ouroboros.gitcp ouroboros/SKILL.MD ~/.claude/skills/q00-ouroboros-skills-auto/SKILL.md--- name: auto description: "Automatically converge from goal to A-grade Seed and execute it" mcp_tool: ouroboros_auto mcp_args: goal: "$goal" resume: "$resume" cwd: "$CWD" max_interview_rounds: "$max_interview_rounds" max_repair_rounds: "$max_repair_rounds" skip_run: "$skip_run" complete_product: "$complete_product" pipeline_timeout_seconds: "$pipeline_timeout_seconds" --- # /ouroboros:auto Run the full-quality auto pipeline from a single task description. ## Dispatch requirement This skill must be executed by invoking MCP tool `ouroboros_auto`. Do not manually inspect repositories, run shell commands, query GitHub, edit files, or otherwise emulate the auto pipeline as a substitute. If `ouroboros_auto` is unavailable, stop and report that the required MCP tool is unavailable. A manual fallback is not an `ooo auto` run. ## Usage ```text ooo auto "Build a local-first habit tracker CLI" ooo auto --resume auto_abc123 ooo auto "Build a local-first habit tracker CLI" --skip-run ooo auto "Build a local-first habit tracker CLI" --complete-product /ouroboros:auto "Build a local-first habit tracker CLI" ``` ## CLI flag → MCP arg translation When the user types `ooo auto` with CLI-style flags inside chat, translate to MCP arguments before invoking `ouroboros_auto`: | CLI flag | MCP arg | Type | |----------|---------|------| | `--complete-product` | `complete_product=true` | boolean | | `--skip-run` | `skip_run=true` | boolean | | `--max-interview-rounds N` | `max_interview_rounds=N` | integer | | `--max-repair-rounds N` | `max_repair_rounds=N` | integer | | `--pipeline-timeout-seconds X` | `pipeline_timeout_seconds=X` | number | | `--resume <id>` | `resume=<id>` | string | `--max-generations` is **not** a flag for `ooo auto`; it belongs to `ooo ralph`. When `complete_product=true`, the chained Ralph uses its built-in default (10 generations) bounded by `pipeline_timeout_seconds` or Ralph's own per-iteration / wall-clock budgets. `--pipeline-timeout-seconds` is accepted only when starting a session. Passing it with `--resume` is rejected because the original deadline is preserved across process restarts. ## Behavior 1. Starts an auto session. 2. Runs bounded Socratic interview rounds with source-tagged auto answers. 3. Generates a Seed. 4. Reviews and repairs until A-grade or blocked. 5. Starts execution only after A-grade. 6. When `complete_product=true`, chains RUN → RALPH_HANDOFF after a successful run handoff and waits for a terminal Ralph status so a single invocation iterates Ralph until QA passes, convergence, or a budget bound trips. A QA-pass on the executed product completes the auto session; recognized failure modes (`iteration_timeout`, `wall_clock_exhausted`, `oscillation_detected`, `grade_regressing`, `max_generations reached`) block the auto session with the matching `stop_reason` in `last_error` so operators can resume after the cause is addressed. The pipeline must not hang indefinitely: all loops are bounded and timeout failures return a resumable `auto_session_id`. Resume with `ooo auto --resume <auto_session_id>`. Use `--skip-run` to stop after the A-grade Seed. Use `--complete-product` to drive the full Interview → Seed → Run → Ralph → Product chain on a single `ooo auto` invocation; the chained Ralph loop honors the same wall-clock deadline as the parent auto session (`--timeout`). The CLI-only `--show-ledger` flag prints assumptions/non-goals; MCP skill responses already include the same ledger summary when available.