ticket-fleet
Skill5 starsChanged 33 days agoMITView on GitHub
Compatibility route for legacy ticket-fleet requests. Use ship-it's PR endpoint for each scoped ticket (a Plane ticket key such as GRIM-87) and its batch reference for coordination; this entrypoint does not dispatch workers or authorize merge/deploy.
In this repository18 other files it gives its agents.
- closeSkill
- cloudflare-private-static-siteSkill
- code-frictionSkill
- commitSkill
- debate-claudeSkill
- debateSkill
- delegateSkill
- eli5Skill
- email-triageSkill
- friction-triageSkill
- issuesSkill
- m5-delegateSkill
- magnus-security-reviewSkill
- mimir-searchSkill
- presentifySkill
- review-pr-codexSkill
- ship-itSkill
- user-test-memorySkill
The file
Files
Ticket-fleet compatibility
A "ticket" here is a Plane ticket, identified by its key (for example GRIM-87),
not a GitHub issue. A PR for it stays on GitHub and references the key plus the
Plane URL (Refs GRIM-87).
For an existing /ticket-fleet request, use the single delivery workflow in
../ship-it/SKILL.md at the PR endpoint. It ends
after publication and fresh checks; it never merges. If the user separately
requests a later endpoint, handle that as an explicit /ship-it request under
its normal workflow. For multi-ticket coordination, read ship-it's
batch reference.
An explicit /ticket-fleet invocation that names the task and owning
repository is the user's request to prepare and publish PRs as needed to reach
this endpoint, subject to global policy and exact target/change preview. If the
repository or target is unclear, clarify it before publication. Automatic
skill selection does not authorize publication.
This compatibility entrypoint does not launch headless sessions, grant tool
permissions, invoke local models, or authorize merge or deployment. The global
AGENTS.md remains the authority source for mutation boundaries. Legacy runner
scripts now fail closed and direct callers to /ship-it.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
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.

