travel-concierge
Accesses real-time spatial data, weather, and traffic routing to design accurate itineraries.
9.92k repo starsObserved in 2 repos
Others
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align-recipe-pyproject
Aligns a Python recipe's pyproject.toml with the repo's standards enforced by .github/workflows/python-validate-recipe.yml, plus one critical [build-system] presence check. Scope is pyproject.toml only — standalone ruff.toml / .ruff.toml files (also forbidden in recipes) are caught by the CI workflow instead, not by this skill. Runs in two modes: a read-only --dry-run that reports what needs alignment, and an apply mode that rewrites pyproject.toml (and optionally manifest.yaml) using comment-preserving TOML/YAML editors. Use when the user wants to "align the recipe's pyproject.toml", "fix pyproject to match the repo standard", "check what needs changing in a recipe's pyproject", or clean up a recipe before submitting a PR.
9.92k repo starsObserved in 1 repos
Development
deep-exploration
Saves time by autonomously reading transcripts, synthesizing arguments, and generating direct jump-links to key moments.
9.92k repo starsObserved in 1 repos
Documents
extract-python-environment-variables
Scans a Python recipe to find every place an environment variable is read, then ensures all variables are declared in .env.example, that load_dotenv() is bootstrapped in the package __init__.py, and that python-dotenv>=1.0.0 is listed in pyproject.toml. Also detects hardcoded model-name string literals in the recipe's source (e.g. "gemini-3-flash-preview" in agent.py) and rewrites them to bare os.getenv("MODEL_NAME") calls (NO fallback default), adding MODEL_NAME to .env.example with a TODO placeholder — this modifies source files, not just configuration. IMPORTANT — two hard rules the skill NEVER breaks: (1) `.env.example` gets ONLY TODO placeholders, never inferred defaults. (2) Python source files get NO default values written by the skill — the model-replacement path emits `os.getenv("VAR")` with no second argument, and the skill never emits `os.environ.setdefault(...)` bootstrap lines. Pre-existing `os.environ.setdefault(...)` or `os.getenv("VAR", "default")` calls that the recipe author wrote by hand are LEFT UNTOUCHED — the skill is additive-only for Python files (adds `load_dotenv()` bootstrap; replaces hardcoded model literals). Use when the user wants to "extract env vars", "update .env.example", "add load_dotenv", "replace hardcoded model names", or "fix environment variables" in a Python recipe.
9.92k repo starsObserved in 1 repos
Development
generate-manifest
Scan an ADK recipe directory and generate a manifest.yaml for it based on the schema at .github/schemas/manifest-schema.json. Use when the user wants to create or generate a manifest.yaml for a recipe under core/ or contrib/.
9.92k repo starsObserved in 1 repos
Documents
generate-python-runnability-test
Generates a lightweight `tests/test_runnability.py` for a Python recipe. The test just imports the recipe's agent module and asserts that `root_agent is not None` (and `app is not None` if the module defines one). The skill parses agent.py with `ast` to figure out which import-time side effects need mocking (`vertexai.init`, `google.auth.default`) and which env vars need setting (`GOOGLE_CLOUD_PROJECT`, `INTEGRATION_TEST`), and only emits the boilerplate the recipe actually needs. Runs in dry-run (report + preview) and apply (write to disk) modes. Use when the user wants to "add a runnability test", "generate test_runnability.py", "create a smoke test for the recipe", or fix the missing-required-file failure from `python-validate-recipe.yml`.
9.92k repo starsObserved in 1 repos
Testing & Quality
prepare-python-recipe
End-to-end orchestration to prepare or update a Python recipe under core/python/ or contrib/ so it passes every check in .github/workflows/python-validate-recipe.yml. Runs seven phases in order on an already-in-place recipe: manifest.yaml generation, environment-variable extraction, pyproject.toml alignment, ruff format+check, per-recipe `uv lock`, runnability-test generation, and a final `py_compile` verification of the generated test file. Assumes the user has already done the manual prep (deactivated any venv, `git pull` and `uv sync` from the repo root, placed the recipe at its target path, renamed if needed). Delegates to the existing sub-skills (generate-manifest, extract-python-environment-variables, align-recipe-pyproject, generate-python-runnability-test) so the master never duplicates their logic. Pauses at fixed decision points (description mismatch, existing test regeneration) AND is free to interrupt for clarification any time a phase's output looks ambiguous, unexpected, or would benefit from a human judgment call — this is an interactive skill by design. Use when the user wants to "prepare a recipe", "update a recipe end to end", "run all the checks and fixes", "make this recipe PR-ready", or invokes it by name.
9.92k repo starsObserved in 1 repos
Development
a11y-audit
Use to audit a component, file, or directory for WCAG 2.1 AA accessibility compliance. Detects ARIA anti-patterns, missing semantics, keyboard gaps, and color-only information. Safety-first — refuses to emit fixes that would create a new accessibility bug. Scope is always explicit; do not use for page-level flow or cross-program planning.
9.87k repo starsObserved in 1 repos
Testing & Quality
a11y-flow-audit
Use to audit a page, view, or composed flow for WCAG 2.1 AA compliance at the composition level - landmarks, heading hierarchy, tab order across components, focus handoff on modal open/close, live-region conflicts. Scope is page/view, NOT component internals. Safety-first - refuses to emit fixes that would create a new a11y bug. For single-component audits use /a11y-audit; for cross-program planning use /a11y-remediate.
9.87k repo starsObserved in 1 repos
Testing & Quality
a11y-remediate
Use to produce a leader-facing remediation proposal from one or more /a11y-audit outputs plus team and product context. Translates audit findings into sprint plans, staffing asks, customer-facing language, compliance rollups, and critical-path analysis. Refuses to fabricate numbers, owners, or commitments beyond the inputs it has.
9.87k repo starsObserved in 1 repos
Productivity