Install
openclaw skills install @vincentjiang06/skill-conductorORCHESTRATES the whole skill pipeline end to end (guidance -> engineer -> zipper) with gated loops. Use to take a skill from idea to shipped, or improve one through all stages: "$skill-conductor". It RUNS THE FULL LOOP, unlike the single stages. Not for one stage only or blank scaffolding (skill-creator).
openclaw skills install @vincentjiang06/skill-conductorRun the three-stage skill pipeline end to end with bounded quality-gate loops. If a gate fails, repeat or loop back to the owning stage; never pass a failing artifact downstream.
This is a thin orchestrator: call the sibling stage skills, read their
artifacts, and execute gate checks. Do not reimplement guidance/engineer/zipper
logic here. It runs autonomously and writes the real deliverable:
<target>/.skill-conductor/conductor-log.json.
idea / existing skill
→ Stage G skill-guidance → <target>/.skill-guidance/handoff-spec.json
→ Stage E skill-engineer → <target>/.skill-engineer/build-report.json
→ Stage Z skill-zipper → lossless restructure (in place)
→ FINAL re-run skill-guidance on the BUILT skill (guidance is the auditor)
Sibling skills (read them; do not duplicate them):
../skill-guidance/SKILL.md../skill-engineer/SKILL.md../skill-zipper/SKILL.mdBacking KB: ../../develop-principle (the develop-principle/ library at the repo root).
Identify the target and one-sentence goal. For a blank idea, create a thin stub
SKILL.md so guidance has a target; for an existing skill/repo, use its path.
Open <target>/.skill-conductor/conductor-log.json immediately with target,
goal, empty stages, and loops_taken: 0.
Invoke skill-guidance. Gate with rules/pipeline-loop.md: the
handoff spec must parse, carry downstream fields, and record a readiness verdict.
Record every attempt in stages[]; repeat G only within the stated bound.
Invoke skill-engineer on the spec. Gate with rules/pipeline-loop.md:
verification ran, all required cases pass, every spec P0 is done, deterministic
skills expose an executable harness_path that you re-run, the red log contains
real FAIL lines, and every spec adversarial edge has a passed
tests.checklist_coverage entry. Test failures repeat E; design-wrong failures
loop back to G and increment loops_taken.
Invoke skill-zipper in Stage Z pipeline mode. Gate on its reported
lossless evidence (0 LOST / 0 REWRITTEN, or every such line explicitly
classified). Repeat Z or skip compression, but never ship a lossy restructure.
Load rules/final-acceptance.md. Re-run guidance on the built skill (the
re-audit GATE, criteria 1–3); only if it passes, invoke the vince-attacker
skill as the independent adversarial battery (criterion 4) — never burn the
attacker on a build that fails the re-audit. Record both verdicts. The effective
verdict is min(re_audit_verdict, battery_verdict) and may never exceed the
battery. Route gaps to G/E/Z by owner; after MAX_FULL_LOOPS, stop with honest
stopped_unmet.
Every loop must name the failed artifact field, respect MAX_G / MAX_E / MAX_Z /
MAX_FULL_LOOPS, and append a run-log entry. A failing artifact is never passed
downstream; a budget hit produces stopped_unmet, not a relaxed gate.
| File | When to load |
|---|---|
rules/pipeline-loop.md | Steps 2–4 — exact per-stage GATE definitions (how to read each artifact's pass/fail), the gap→stage loop-back rules, and the max-iteration bounds. |
rules/final-acceptance.md | Step 5 — the final detection: re-audit with guidance, the pass criteria, gap→stage routing, the stop condition, and how to write the run-log. |
| File | Usage |
|---|---|
assets/conductor-log.schema.json | The JSON contract for the run trace (stages, gates, loops, final verdict, blocking gaps). The run-log you emit must conform. |