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Found 50 Skills
Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.
Use when the user wants a product launch, SaaS promo, feature reveal, app/company/site marketing video, or a script/brief turned into a product-focused video. Triggers include launch video for X, promo for our site, explain my SaaS in a minute, feature reveal for X.com, and turn this script into a 60s promo. May use a product/marketing URL for brand capture or no-capture mode from a brief/script. Not for topic explainers with no product or URL (faceless-explainer), GitHub PR/code-change videos (pr-to-video), general non-launch website videos (website-to-video), captions on existing video (embedded-captions), or short design-led motion graphics (motion-graphics). When product-vs-topic or launch-vs-general-site is unclear, do not assume — start at /hyperframes-read-first.
Use when writing, rewriting, or reviewing PR/CL descriptions, commit messages, or code-change summaries that explain what changed and why. TRIGGER on "write PR description", "improve this commit message", "summarize this diff", "CL description", "change description", or "make this PR/CL description easier to review". DO NOT TRIGGER for code review, PR splitting, code restructuring, user-facing changelogs, or reviewer replies unless the requested output is a change description.
Run vet immediately after ANY logical unit of code changes. Do not batch your changes, do not wait to be asked to run vet, make sure you are proactive.
Analyze recent code changes via git history and extract software engineering lessons. Use when the user asks 'what is the lesson here?', 'what can I learn from this?', 'engineering takeaway', 'what did I just learn?', 'reflect on this code', or wants to extract principles from recent work.
Execute Codex CLI for code analysis, refactoring, and automated code changes. Use when you need to delegate complex code tasks to Codex AI with file references (@syntax) and structured output.
Walk users through PR review comments, fetching and displaying them first when needed, collect per-comment response decisions, apply requested fixes, and preview GitHub replies and resolutions before posting. Use when responding to PR review comments on the current branch.
Analyzes changed files and improves unit test coverage using project-specific testing conventions from .trellis/spec/ unit-test specs. Determines test scope (unit vs integration vs regression), adds or updates tests following existing patterns, and runs validation. Use when code changes need test coverage, after implementing a feature, after fixing a bug, or when test gaps are identified.
Analyze how code changed over time. Use when investigating regressions, understanding why code was written a certain way, or finding when a behavior changed.
Audit test coverage for code changes. Identifies untested logic and provides specific test recommendations. Read-only analysis. Use before PR or after implementation. Triggers: review coverage, check tests, test coverage, are tests adequate.
Summarize code changes by author type and scope. Inputs are author and scope with product plus PR as defaults.
Use this skill to validate code changes against real Kubernetes microservice dependencies with Signadot signals such as local sandboxes, cluster reachability, logs, endpoints, and routing-key isolation.