Loading...
Loading...
Found 3,224 Skills
Validate Perses resources: run percli lint locally or with --online against a server. Check dashboard definitions, datasource configs, variable schemas. Report errors with actionable fixes. Use for "perses lint", "validate perses", "check dashboard", "perses validate". Do NOT use for plugin schema testing (use perses-plugin-test).
RED-GREEN-REFACTOR testing for agents: dispatch subagents with known inputs, capture verbatim outputs, verify against expectations. Use when creating, modifying, or validating agents and skills. Use for "test agent", "validate agent", "verify agent works", or pre-deployment checks. Do NOT use for feature requests, simple prompt edits without behavioral impact, or agents with no structured output to verify.
Perses variable lifecycle management: create Text and List variables at global, project, or dashboard scope. Handle variable chains with dependencies (A depends on B depends on C). Supports 14+ interpolation formats. Uses MCP tools when available, percli CLI as fallback. Use for "perses variable", "dashboard variable", "perses filter", "add variable". Do NOT use for datasource management (use perses-datasource-manage).
Context-driven aesthetic exploration with anti-cliche validation: typography, color, animation, atmosphere. Use when starting a frontend needing distinctive aesthetics, refreshing generic designs, or auditing for "AI slop" patterns. Use for "distinctive frontend", "unique aesthetics", "avoid generic design", "creative frontend". Do NOT use for quick prototypes, strict brand compliance, backend projects, or data visualization.
CUE schema authoring for Perses plugins: define data models, write validation constraints, create JSON examples, implement Grafana migration schemas in migrate/migrate.cue. Educational skill that explains CUE patterns specific to Perses plugin development. Use for "perses cue schema", "perses model", "plugin schema", "cue validation perses". Do NOT use for dashboard CUE definitions (use perses-dac-pipeline).
Run Python (ruff) and JavaScript (Biome) linting, formatting, and code quality checks with auto-fix support. Use when code needs linting, formatting, or style checking before commits. Use for "lint", "format", "ruff", "biome", "code style", or "check quality". Do NOT use for comprehensive code review (use systematic-code-review).
Generate a project-specific CLAUDE.md by analyzing the current repository's code, build system, and architecture. 4-phase pipeline: SCAN, DETECT, GENERATE, VALIDATE. Auto-detects language/framework and enriches output with domain-specific conventions (e.g., go-sapcc-conventions for sapcc Go repos). Use for "generate claude.md", "create claude.md", "init claude.md", "bootstrap claude.md", "make claude.md". Do NOT use for improving an existing CLAUDE.md (use claude-md-improver instead).
Checks manual test scripts for harness adoption, golden files, fail-fast, config sourcing, idempotency. Use when auditing manual test quality.
Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.
Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.
NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.
Analyze HTTP security headers of web domains to identify vulnerabilities and misconfigurations. Use when you need to audit website security headers, assess header compliance, or get security recommendations for web applications. Trigger with phrases like "analyze security headers", "check HTTP headers", "audit website security headers", or "evaluate CSP and HSTS configuration".