Ship: Auto
SkillMediaRun Ship's full production workflow from raw requirement to PR: design, dev, E2E, review, QA, refactor, and handoff. Use only for explicit /ship:auto, auto pipeline requests, or end-to-end delivery.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Ship: Auto skill
What this skill tells your AI
The instructions your AI receives, as published by heliohq/ship in skills/auto/SKILL.md and read by ahel’s review.
Full staged workflow for explicit end-to-end production delivery.
Execution
Your cwd is the user's repo, not the plugin — a bare relative path will
not find the orchestrator. Set SKILL_DIR to this skill's base
directory (announced as "Base directory for this skill" when the skill
loaded), then run the shared stage-aware orchestrator:
SKILL_DIR="<base directory from the skill invocation>"
SHIP_ORCH="$SKILL_DIR/../../scripts/auto-orchestrate.sh"
if [ -f .ship/ship-auto.local.md ]; then
bash "$SHIP_ORCH" resume
else
bash "$SHIP_ORCH" init '<user requirement goes here>'
fi
Then follow the /ship:auto dispatch loop: read PROMPT_FILE, dispatch the
agent, classify the report card, and call complete <PHASE>.
Standalone Skill Boundary
/ship:auto is only for full end-to-end runs. For a single phase (design, dev,
E2E, review, QA, refactor, handoff), invoke that /ship:* skill directly
instead of routing through auto.
Signals
- GitHub stars
- 91
- Forks
- 7
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
auto-heliohq- Source
- github.com/heliohq/ship