302 skills (repositories by event4u-app) · sorted by popularity
Shaping a UI component tree — composition vs inheritance, slot patterns, prop API design, controlled vs uncontrolled, polymorphic — on 'split this component'. Feeds react-shadcn-ui.
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Before adding/installing any dependency the agent named — verify the package exists (slopsquatting: ~1 in 5 AI suggestions are hallucinated), isn't typo-adjacent, is pinned + locked, and CVE-scanned
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Writing or reviewing Tailwind CSS — utility-first, design tokens, no inline-style drift, responsive variants, dark mode — 'style this' or 'mach das hübsch'. Pairs with react-shadcn-ui.
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Use when extracting Voice-of-Customer themes from existing artefacts — GH issues, PR threads, Sentry patterns. Triggers on 'what are users saying', 'recurring complaints', 'top themes'.
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Use when the user shares a Sentry URL, says "check Sentry", or wants to investigate production errors. Uses Sentry MCP tools for deep analysis.
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Use when a cross-workspace import will not resolve — cannot find module @org/*, TS2307 — to link the packages properly with the workspace: protocol instead of patching tsconfig paths.
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Use when balancing eng-team velocity vs quality vs burnout — on-call load, focus fragmentation, reorg shock. Triggers on 'team is burning out', 'why is velocity dropping'.
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Use when a component library needs a workshop — one story per concept, JSDoc summaries the manifest can carry, stories run as tests, and an opt-in MCP channel that replaces guessing with querying.
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Use when setting up Traefik as a local reverse proxy — real domains on 127.0.0.1, trusted HTTPS via mkcert, automatic service discovery, and multi-project routing.
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Use when optimizing test suite performance — database setup, seeder optimization, parallel testing, CI pipeline efficiency, or RefreshDatabase alternatives.
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Use when modeling CAC, LTV, payback, contribution margin, or burn-multiple per customer — SaaS, marketplace, or transactional. Triggers on 'are we unit-economic', 'what is our LTV/CAC'.
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Deep multi-pass codebase audit — orchestrates project-analysis-core plus the framework-specific project-analysis-*; explicit request only. Single-pass scan → project-analyzer.
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Validate whether a feature request fits the existing codebase — check for duplicates, contradictions, scope creep, and architectural misfit
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Use to iterate a change until tests/quality checks pass — bounded run→revise→re-run gated by a numeric threshold, then a judge confirms. Triggers 'iterate to green', 'keep fixing until tests pass'.
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Use when condensing, decondenseing, refactoring, or improving existing skills. Covers the full skill lifecycle from verbose → sharp → maintained.
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Use when building or editing a spreadsheet or model — formulas over hardcoded values, read-back after writes, official-source data, pivot-first charts. Triggers on 'spreadsheet', 'build a model'.
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Run the skill-improvement pipeline after a learning was detected — capture, classify, create, validate, apply; explicit request only.
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Use when hardening a Linux host you operate — SSH posture, a default-deny firewall baseline, and unattended security upgrades, each verified on the box rather than assumed from a config file.
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Use when reviewing, auditing, or optimizing skills — validates against the 7 Skill Killers checklist and produces fix recommendations.
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Turn an audio track into a timed `## Scene N` script: song sections → per-scene durations, auto mode adds mood + lip-sync lines. Triggers 'music video', 'from the song', 'cut to the beat'.
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Use BEFORE writing any test — enumerate cases per behavior (happy / boundary / error / abuse), prioritize by likelihood × impact, cross-check via subagent — even if the user just says 'add tests'.
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Use on a bug, test failure, crash, or unexpected behavior — enforce reproduce → isolate → hypothesize → verify before any fix; fires even on 'this is broken' / 'quick fix'.
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Use when orchestrating implementer/judge subagents — form gate + nine modes (do-and-judge ±two-stage, steps/parallel/worktrees, competitively, debate, live-app-judge, adversarial-council).
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Use when writing Terraform — AWS modules, resources, variables, outputs, remote state — even when the user just says 'provision this infra' or 'add an S3 bucket' without naming Terraform.
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