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Found 1,775 Skills
Expert accessibility specialist who audits interfaces against WCAG standards, tests with assistive technologies, and ensures inclusive design. Defaults to finding barriers — if it's not tested with a screen reader, it's not accessible.
Create HTML UI mockups stored in ideas/[project]/docs/ui-designs/
PostHog feature flags for Flutter applications
Centralized API key management from Access.txt
Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.
Skill for defining coding rules and conventions. Ensures consistent code style and specifies coding standards for AI collaboration. Use proactively when starting a new project or when coding standards are needed. Triggers: convention, coding style, naming rules, 컨벤션, コンベンション, 编码风格, convención, estilo de código, reglas de nombrado, convention, style de codage, règles de nommage, Konvention, Coding-Stil, Namensregeln, convenzione, stile di codice, regole di denominazione Do NOT use for: existing projects with established conventions, deployment, or testing.
Deploy and manage applications on Vercel, including preview deployments and deployment protection. Use when working with Vercel-hosted projects or configuring Vercel deployments.
Two-round debate protocol where perspectives challenge each other before consensus. Round 1 presents independent positions, Round 2 allows counter-arguments and rebuttals. Produces battle-tested decisions for high-stakes choices.
Run structured AI red team exercises for jailbreak resistance, data exfiltration risk, harmful output controls, and agent tool abuse resilience.
Check and stream Convex deployment logs from the CLI. Use when debugging Convex actions, 401/500 errors, failed queries or mutations, or when you need to see what functions ran and their output.
Many turns in one call. Instant communication. No round-trips.
Generate and curate evaluation datasets — structured generation via dimensions-tuples-NL, quick from description, expansion from existing data, plus dataset maintenance through deduplication, rebalancing, and gap-filling. Use when creating eval data, expanding test coverage, or cleaning datasets. Do NOT use when sufficient real production data exists (use analyze-trace-failures instead). Do NOT use for evaluator creation (use build-evaluator).