agenta

Use find_capabilities to discover the right Agenta tools for an agent you are building, report what each integration needs to connect, and wire the tools into the new agent's config. Use when a setup/builder agent must turn a plain-language task ("post to Slack and open GitHub issues") into attached, connected, ready-to-run tools.

Coordinate findings work with the user, decide whether scan, test, or sync should run, and turn the current findings set into a ready plan. Accept optional `path` and GitHub PR `url`; default to `path=infer`. Confirm effective variables before starting.

Run or inspect the relevant validation paths and turn failures, regressions, or missing coverage into findings. Accept optional `path` and `depth` parameters and default to `path=infer`, `depth=deep`. Confirm effective variables before starting.

Sync the findings record against local review artifacts and optionally a GitHub PR. Accept optional `path` and GitHub PR `url`; when `url` is provided, sync against both remote PR state and local state, otherwise default to local-only sync. Default to `path=infer`. Confirm effective variables before starting.

Perform a fresh-context scan of code and docs that turns verification observations and missing-test gaps into findings. Accept optional `path` and `depth` parameters and default to `path=infer`, `depth=deep`. Confirm effective variables before starting.

Resolve findings by implementing the chosen fix path in code, tests, or docs. Accept optional `path` and a `priority` selector; by default resolve only the next highest remaining priority bucket, in order `P0`, `P1`, `P2`, `P3`. Also accept explicit levels or `all`. Default to `path=infer`. Confirm effective variables before starting.

Audit and update the supported LLM model list in assets.py against litellm's registry (models.litellm.ai). Use when adding new models, pruning outdated ones, or verifying the list is correct.

Update the API reference documentation by downloading the latest OpenAPI spec from production and regenerating the Docusaurus API docs

Use this skill to create and publish changelog announcements for new features, improvements, or bug fixes. This skill handles the complete workflow - creating detailed changelog documentation pages, adding sidebar announcement cards, and ensuring everything follows project standards. Use when the user mentions adding changelog entries, documenting new features, creating release notes, or announcing product updates.

Helps add announcement cards to the sidebar banner system. Use when adding changelog entries, feature announcements, updates, or promotional banners to the Agenta sidebar. Handles both simple changelog entries and complex custom banners.

Write a template playbook for the build-an-agent skill: a 1-2 KB per-use-case file that teaches the builder agent to configure one kind of Agenta agent (changelog writer, issue triager, support router, and so on). Use when the ask is "write a template playbook", "add an agent template", "author a playbook for the build-an-agent skill", or "write the <X> playbook". Encodes the file format, the prompting checklist, and the platform facts authors get wrong.

Write PR titles and descriptions the way a staff engineer would. Use when drafting or editing a pull request title and body, before running `gh pr create`, or any time the user asks for a PR description, summary, or release-notes-style writeup of a change. Apply this skill from the start, not as a cleanup pass after a generic first draft.

Use when writing or editing documentation pages (concept pages, how-to guides, API reference prose, tutorials) under docs/. Provides the writing style, voice, and structural rules for Agenta docs. Apply this skill before drafting any new docs page, and include it in the brief for any subagent tasked with writing docs.

Regenerate and refresh the curated agent model catalog (the label/description/pricing/ratings behind the agent model picker). Use when the pinned @earendil-works/pi-ai version bumps, when a Claude Code build changes its accepted alias set, or before a release when the curated Claude/Pi facts (lineup, pricing, ratings) need refreshing from current public sources. Owns the data files under sdks/python/agenta/sdk/agents/data/; never edits capabilities.py logic.

Where to put frontend code (package vs app layer) and how to use the @agenta/* packages. Use when authoring or moving code in web/packages, choosing between @agenta/ui, @agenta/entities, @agenta/entity-ui, @agenta/shared, @agenta/playground, using molecules, loadable/runnable bridges, the EntityPicker, or writing package unit tests.

Run the agent release gate — a portable, wire-level QA harness for the agent runtime. Drives the same product endpoint the playground drives and asserts on the SSE frame stream and real side effects, never on model prose, so it works against any deployment (cloud or self-hosted) from three env vars. Use before an agent-workflows release, or after changing the runner, the SDK agent adapters, the runner Docker images, or the agent service. Triggers: "run the release gate", "QA the agent runtime", "does the agent still work end to end", "pre-release agent QA".