trace-review-app
De la autor
Design and build a custom trace review app for one AI product: a single-page tool where the team reads traces, writes notes, labels pass or fail, tags trace codes and exports the results for other skills. Built around that product's own trace shape, rubric and failure modes, and set up so reviewing becomes a habit (a queue, progress, streaks, quick keys). Use this skill whenever someone asks to "build a trace viewer", "make an annotation tool", "set up a review page for our traces", "make trace review less painful", "build a labeling app", or says the team isn't reading traces because the tool is clunky.
Instalare
npx skills add Calibre-Labs/reforge-ai-evals --skill trace-review-app -a claude-code
Se instalează în .claude/skills/trace-review-app/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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Verificări de siguranță pe SKILL.md
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De ce 83
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- trace-codesCalibre-Labs/reforge-ai-evalsTurn free-form notes from reading agent traces into trace codes: named, yes/no failure or quality patterns with definitions, examples and counts. Use this skill whenever someone has annotated traces or review notes and asks to "cluster my notes", "create trace codes", "find the failure modes", "do error analysis on these annotations", "what patterns are in these traces", or "what should we fix first". Also use to merge new notes into an existing set of codes. Output is a trace codes file, a labeling sheet for human review, and proposed rubric updates.Inginerie★ 85
- trace-debugtonone-ai/tononeDebug AI system behavior using traces — prompt reconstruction, output comparison, failure attribution. Use when asked "why did the model output this", "debug this LLM failure", or "reconstruct the prompt".Inginerie★ 76
- review-feedback-schemaexistential-birds/beagleSchema for tracking code review outcomes to enable feedback-driven skill improvement. Use when logging review results or analyzing review quality.Inginerie★ 84
- deepline-plays-reviewgetaero-io/gtm-eng-skillsUse this skill when a human needs to review a Deepline Play result and hand feedback, labels, or approval back to the agent for revision, evaluation, comparison, or bounded iteration. Triggers on “put this run in a Sheet,” “review these results,” “read my feedback,” “make this a standing rule,” “never regress on this case,” “compare these runs,” “keep improving,” or “add the revised run to the same spreadsheet.” Skip ordinary Play authoring or execution with no human review loop, generic spreadsheet work, and one-off CSV export.Inginerie★ 71
- performance-trace-guideproflead/codex-skills-libraryGuide collection and analysis of performance traces. Use when a mid-level developer needs to diagnose slowness.Altele★ 162
- review-spectranhieutt/software_development_departmentReviews a product, technical, API, UI, or implementation spec for completeness, testability, architectural fit, and readiness before planning or implementation.Planificare★ 74
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