rc-gan
SolidRuns an adversarial generator↔evaluator loop to drive subjective quality (UI/UX, design, copy, CLI ergonomics, prose) up to a target score, by exercising the running artifact — not just reading the code — scoring it against a weighted rubric, feeding the defects back, and iterating until the threshold or a plateau. Use to refine an artifact whose quality a pass/fail gate cannot capture. Do not use for correctness/security defects (use rc-code-review) or for work fully covered by the build's verification gate.
Install
Quality Score: 82/100
Skill Content
Details
- Author
- rodolfochicone
- Repository
- rodolfochicone/rc-project
- Created
- 1 months ago
- Last Updated
- 2 weeks ago
- Language
- JavaScript
- License
- MIT
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
eval-engine
Use this skill when the user pastes a feature spec, PRD, or task description and wants to create an eval, write an eval, build an eval rubric, define good, test this AI feature, generate a verification layer, set up an LLM judge, grade outputs, add quality gates, or asks "how do I measure" whether the feature works. Produces three artifacts from the spec — 3-6 binary disqualifying gates each marked with WHY it is a gate and not a score, a calibrated 4-7 criterion LLM-judge rubric on a 1-5 scale with anchors, worked examples, and a paste-ready judge prompt, and a runnable pure-Python-stdlib harness (prepare.py, run.py, report.py) that applies gates first so any gate failure is an automatic fail, then rubric scoring wired to the user's own Claude session with no API keys. Supersedes the standalone eval-rubric-generator skill when both are installed. Do NOT use for running or debugging an existing eval suite, for QA of non-AI features, or for one-off review of a single output with no spec attached.
eval-engine
Iterate-stage skill: turns a spec into the complete runnable verification layer — binary gates, anchored rubric, paste-ready judge prompt, and harness instructions — in one pass. Use when a feature needs its full eval built — 'create an eval for this spec', 'build the verification layer', 'spec to eval harness', 'turn this PRD into something we can run outputs through' — or when /pm routes such a request here. Do NOT use for the gates+rubric design artifact alone (prd-to-eval), for judge prompts over existing criteria (llm-as-judge-designer), for executing an eval over outputs, or for eval definitions.
eval-rubric-generator
Use this skill when a product spec, feature requirement, PRD, or user story needs to be converted into a concrete evaluation rubric. Triggers on phrases like "write an eval for this", "create a rubric", "how do I test this AI feature", "define good output", "what should I measure", or when a user pastes a spec and asks what success looks like. Produces a binary pass/fail checklist — not vague metrics, not suggestions — a rubric you can run against model outputs today. This is the skill AI PMs need before anything ships to production. Do NOT use to execute an evaluation or invent requirements absent from the supplied specification.