Automates the Pipelex release workflow: bumps the version in pyproject.toml, finalizes the CHANGELOG.md Unreleased section, runs quality checks, creates a release/vX.Y.Z branch, commits, pushes, and opens a PR to main. Use when user says "release", "cut a release", "bump version", "prepare a release", "make a release", "ship it", "create release branch", or any variation of shipping a new version of pipelex. The user can optionally provide changelog content inline when invoking the skill (e.g. "/release Added new extract backend"), which will be used as the changelog entry for this version.
Resolve open drift contracts — the review obligations between code and docs declared in drift.toml. Use whenever `make drift-check` (or the `make check` aggregate, or the CI lint-drift job) fails with open contracts, when the user says "drift check failed", "resolve the drift contract", "ack the drift", "run drift plan", or after any change that touches drift trigger files (the config model / pipelex.toml, CLI code, the keyword-only guard). Also use when recording a drift dogfood observation. Performs the review for real, records an honest ack, and logs the dogfood observation the pilot phase depends on.
Bump the pinned `@pipelex/mthds-ui` (and `elkjs`) version that the generated ReactFlow HTML loads from jsDelivr. Re-fetches the bundle, recomputes SRI hashes, and updates the Python constants in `standalone_assets.py`. Use when user says "update graph ui", "bump mthds-ui", "update graph viewer", "new version of mthds-ui", or any variation of updating the CDN-pinned graph viewer assets.
Add a new AI model to the Pipelex inference system. Guides through all required steps: backend TOML configuration (OpenAI, Azure, Anthropic, Google, etc.), kit sync, test profile collections, and fixture regeneration. Use when the user says "add a model", "add GPT-X", "add Claude X", "new model", "register a model", "add Gemini X", "support model X", "add model to backend", or any variation of introducing a new AI model to the inference configuration. Also use when the user mentions a model name that doesn't exist in the backend configs yet and wants to add it.
Test an AI model on a specific backend using the Pipelex inference test infrastructure. Handles test profile creation, fixture regeneration, and running the right test class for the model type (LLM, image gen, extract, search). Use when the user says "test model X", "test gpt-5.4 on openai", "test model on gateway", "run inference test for model", "try model X on backend Y", "verify model X works", or any variation of running inference tests against a specific model on a specific backend. Also use when the user mentions testing a model after adding it, or wants to verify a model works end-to-end with real API calls.