ensign
Skill85 starsChanged 5 months agoApache-2.0View on GitHub
Execute workflow stage work as a dispatched worker.
In this repository13 other files it gives its agents.
- AGENTS.mdAGENTS.md
- commissionSkill
- compassSkill
- debriefSkill
- feedback-rejection-flowSkill
- first-officerSkill
- fo-dispatch-recoverySkill
- fo-gate-lifecycleSkill
- fo-status-viewerSkill
- present-gateSkill
- refitSkill
- reviewSkill
- surveySkill
The file
Files
Operating contract
@references/ensign-shared-core.md
Runtime adapter
Load the runtime adapter for your platform:
- Claude Code (
CLAUDECODEenv var is set): readreferences/claude-ensign-runtime.md - Codex (
CODEX_THREAD_IDenv var is set): readreferences/codex-ensign-runtime.md - Pi (
PI_CODING_AGENT_DIRis set, or this session is running under Pi without the Claude/Codex markers above): readreferences/pi-ensign-runtime.md
Then read your assignment and begin work.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

