implementation-strategy

Installation
SKILL.md

Implementation Strategy

Workflow

  1. Identify the surface you are changing or reviewing: released public API, unreleased branch-local API, internal helper, persisted schema, wire protocol, CLI/config/env surface, or docs/examples only.
  2. When released compatibility is relevant, determine the latest release tag from origin first, falling back to local tags only when remote tags are unavailable. Reuse an already verified baseline within the task unless new release evidence or changed scope makes it stale:
    BASE_TAG="$(.agents/skills/final-release-review/scripts/find_latest_release_tag.sh origin 'v*' 2>/dev/null || git tag -l 'v*' --sort=-v:refname | head -n1)"
    echo "$BASE_TAG"
    
    Report a local-tag fallback as potentially stale.
  3. Record the implementation scope contract below before coding.
  4. Identify the nearest existing implementation pipeline and the functions, types, or modules that are the source of truth for each affected concern. Prefer adapting the required input into that pipeline over creating parallel schema, metadata, validation, naming, or execution machinery.
  5. Choose the smallest coherent change using the core decision rules. Add compatibility machinery only for a required supported boundary.
  6. Revisit the review gate when feedback changes supported behavior, compatibility, ownership, protocol paths, implementation shape, or test permutations, or triggers a complexity reset. Otherwise retain the scope contract and proceed with the focused fix.
  7. Before handoff, run the effectiveness check. If any answer is no, revise the design.

Implementation scope contract

Installs
119
GitHub Stars
29.6K
First Seen
Mar 9, 2026
implementation-strategy — openai/openai-agents-python