firegoat-ai
12 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.
firegoat-aifiregoat-onboarding
Draft 2-3 firegoat evals (firegoat.yaml) for the current repo: tests a coding agent runs locally with npx firegoat eval, each with a prompt, an endgoal and script checks. Use when the user says "write firegoat evals", "draft evals", "set up firegoat", "firegoat init", or asks for local agent-experience (AX) evals of their SDK, CLI, API or docs.
- Installationen
- 2
- GitHub Stars
- 0
- Aktualisiert
- 20. Okt.
firegoat-aisuggesting-eval-prompts
Use when helping author a new eval prompt or trigger an eval run, so the task actually measures the agent experience of a real end-goal.
- Installationen
- 2
- GitHub Stars
- 0
- Aktualisiert
- 20. Okt.
firegoat-aicomparing-competitors
Use when you need to benchmark a provider against its competitors on the same eval prompt, or write a defensible "you vs them" narrative.
- Installationen
- 1
- GitHub Stars
- 0
- Aktualisiert
- 20. Okt.
firegoat-aidesigning-agent-error-messages
Audit and rewrite error messages, exceptions, and API/SDK/CLI failure output so an AI agent (and a human) can self-correct without leaving the terminal. Use when designing or reviewing how a tool fails — error strings, HTTP error bodies, auth/credential errors, CLI errors, thrown exceptions — especially for libraries, APIs, and CLIs that AI agents consume. Grounded in patterns from 2027.dev's evals of 136 dev tools across 3,500+ agent runs.
- Installationen
- 1
- GitHub Stars
- 0
- Aktualisiert
- 20. Okt.
firegoat-aifiling-feedback
When and how to report a platform bug, confusing behaviour, or missing feature through sendfeedback.
- Installationen
- 1
- GitHub Stars
- 0
- Aktualisiert
- 20. Okt.
firegoat-aiharnesses-and-models
Use when a question involves which coding agent (harness) or model ran an eval, comparing runs across harnesses/models, or pinning a harness+model when triggering a run.
- Installationen
- 1
- GitHub Stars
- 0
- Aktualisiert
- 20. Okt.
firegoat-aiinterpreting-scores
Use when reading or explaining an eval run's metrics, insights, or overall experience, or when a run has no score.
- Installationen
- 1
- GitHub Stars
- 0
- Aktualisiert
- 20. Okt.
firegoat-ailinking-to-the-dashboard
Use when citing a run, prompt, or trace moment in your answer — always give the user a clickable dashboard link instead of a bare slug or id.
- Installationen
- 1
- GitHub Stars
- 0
- Aktualisiert
- 20. Okt.
firegoat-aireading-an-agent-trace
Use when you need to reconstruct what an agent actually did during an eval run, or localize where it got stuck, from the session log.
- Installationen
- 1
- GitHub Stars
- 0
- Aktualisiert
- 20. Okt.
firegoat-aireading-browser-screenshots
Use when a session trace contains browser-agent screenshot turns, or when a run's friction happened in the browser (login, signup, OAuth, dashboard) rather than in the code agent's terminal.
- Installationen
- 1
- GitHub Stars
- 0
- Aktualisiert
- 20. Okt.
firegoat-aispotting-friction
Use when you need to identify what hurt an agent's experience in an eval run and turn it into a concrete fix the dev-tool owner can ship.
- Installationen
- 1
- GitHub Stars
- 0
- Aktualisiert
- 20. Okt.
firegoat-aivent-friction
Use the moment you hit friction with an EXTERNAL developer tool — an SDK, API, CLI, database, auth, or cloud provider — a bug, a misleading or missing error, an undocumented gotcha, a broken default, a deprecated-without-warning change, a painful auth/login flow, or you just burned real time fighting a third-party tool. This includes catching yourself venting about it ("ugh why does X…", "wait, that's not in the docs", "finally got Y working after all that", "fuck, Z silently…"). Also use when t
- Installationen
- 1
- GitHub Stars
- 0
- Aktualisiert
- 20. Okt.