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Ceratops-Code

@ceratops-code source repo

10 published skills

  1. Openai Docs Managed · ceratops-code bundle
    Retrieve and answer current official OpenAI product, API, model, ChatGPT, and Codex documentation through a deterministic allowlisted helper. Use for OpenAI documentation questions, Codex setup or troubleshooting, model selection or migration, and explicit independent synthesis from retrieved official evidence.
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  2. Ceratops Automation Run · ceratops-code bundle
    Run recurring Codex automations with Ceratops defaults. Use when an automation run needs shared policy for re-opening prompt and helper contracts, keeping task-specific logic in the automation prompt or helper scripts, keeping compact run summaries visible, avoiding routine automation memory, and reporting no-memory conflicts explicitly.
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  3. Ceratops Repo Lifecycle · ceratops-code bundle
    Route Ceratops repository lifecycle work to action references for repository creation, compatibility, contracts, health, dependencies, local promotion, remote release publication, deterministic local deployment, GitHub shipping, and PR merge. Use when Codex should create or harden a repository, make it Ceratops-compatible, review its contracts, disposition CodeQL, maintain dependencies, promote selected task branches into a local release branch with or without deployment, ship a staged branch through guarded GitHub merge, post-merge release publication, and local deployment, or finalize an already-ready PR.
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  4. Ceratops Task Lifecycle · ceratops-code bundle
    Route Ceratops repeated failed-fix-loop breaks, same-thread resume, whole-task new-thread handoff, and closure checks. Use fixloop-break after repeated fixes fail. Use manual-resume when an interrupted current-thread task should continue from current state. Use closure-check when the user asks whether anything remains, whether we are done, or what remains.
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  5. Ceratops Tool Lifecycle · ceratops-code bundle
    Create, install, update, or inspect local Python tool versions.
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  6. Ceratops Skill Lifecycle · ceratops-code bundle
    Route Ceratops or compatible skill lifecycle work to action references for create, deploy, fast-change, update, skills-contract-review, and skills-consistency-review work. Use when Codex should create or deploy managed skills, apply an eligible direct-release skill change with targeted installation, update skill source or shared governance surfaces, refresh Ceratops skill-design contracts, or audit one manifest-backed installed skill and its coupled source.
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  7. Ceratops Governance Lifecycle · ceratops-code bundle
    Route Ceratops governance work across prompt optimization, advisory skill optimization, regression-safe instruction updates, and cross-scope governance consistency audits. Use when Codex should rewrite a rough prompt as the requested deliverable or an execution preflight, recommend exact changes to existing skills without applying them, diagnose and route approved instruction changes, or audit alignment across AGENTS files, automations, directly referenced helpers, and governance owners.
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  8. Ceratops Code Consistency Audit · ceratops-code bundle
    Audit a repository after large refactors, branch merges, or parallel agent threads for contradictions between implementation, docs, configs, tests, examples, comments, README guidance, and control files. Use when the goal is post-merge validation, release-readiness consistency checking, documentation-drift detection, comment-sufficiency review, or merged-only edge-case hunting rather than style review.
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  9. Ceratops Misunderstanding Audit · ceratops-code bundle
    Find and analyze user misunderstandings in N days of task history or one supplied exchange, preserve exact evidence and repeated clarification chains, and propose targeted communication or workflow changes. Use when the user requests a misunderstanding audit or diagnosis of why an answer was confusing; do not activate merely because the user asks What or requests an ordinary clarification.
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  10. Ceratops Credit Savings Analysis · ceratops-code bundle
    Analyze one credit-waste surface or every completed run in one or more threads while preserving every confirmed finding without modifying the analyzed producer or workflow.
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