Define an implementation contract for Codex
Turn a feature request into scope, invariants, acceptance criteria, and concrete completion evidence.
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Turn a feature request into scope, invariants, acceptance criteria, and concrete completion evidence.
Translate an issue report into a reproducible engineering task without inventing missing evidence.
Give Codex a bounded test failure with a behavior contract and limits on implementation changes.
Define a measurable performance question with workload, baseline, and comparison rules.
Describe CLI behavior across arguments, streams, exit codes, and machine-readable output.
Frame a review around concrete failure modes, invariants, and affected behavior.
Create a concise repository guide using supplied structure and verified development commands.
Create fixture requirements that isolate behavior and include meaningful boundary cases.
Ask Codex to trace error propagation, cleanup, and caller-visible behavior.
Build one user-visible feature slice while preserving repository conventions and existing work.
Restructure a bounded area while proving important observable behavior stays the same.
Test a real boundary's observable behavior without reproducing its internal implementation.
Find the interleaving that causes stale state, duplicate work, or lost updates.
Trace imports, entry points, and data dependencies for a scoped code change.
Find the first meaningful build error and separate environment issues from code defects.
Trace whether an operation enforces ownership or membership for the actual target object.
Create a release checklist tied to changed behavior, dependencies, and rollback evidence.
Map a repository for Codex before starting a substantial change.
Specify a coding task with repository context, acceptance criteria, and a verifiable finish line.
Preserve the coding agent's explicit AAS skill selection as a validated stack and optional evidence.
Discover AAS skills for an explicit task and compare their complete instructions without installing them.
Review AAS stack manifests, preview plans and selection evidence in Workbench without applying changes.
Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.
Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.
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