Agent Skills: pymoo
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
ID: jackspace/claudeskillz/pymoo
166
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- technical-documentationBuild and review high-quality technical docs as well as agent instruction files in your repository.
- analyzing-logsAnalyze application logs for performance insights and issue detection
- dyad:debug-with-playwrightDebug E2E tests by taking screenshots at key points to visually inspect application state.
- design-systemToken architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing/typography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.
- signupWhen the user wants to optimize signup, registration, account creation, or trial activation flows. Also use when the user mentions "signup conversions," "registration friction," "signup form optimization," "free trial signup," "reduce signup dropoff," "account creation flow," "people aren't signing up," "signup abandonment," "trial conversion rate," "nobody completes registration," "too many steps to sign up," or "simplify our signup." Use this whenever the user has a signup or registration flow that isn't performing. For post-signup onboarding, see onboarding. For lead capture forms (not account creation), see cro.
- issue-discoverUnified issue discovery and creation. Create issues from GitHub/text, discover issues via multi-perspective analysis, or prompt-driven iterative exploration. Triggers on \"issue:new\", \"issue:discover\", \"issue:discover-by-prompt\", \"create issue\", \"discover issues\", \"find issues\".