com um clique
jaan-to
jaan-to contém 63 skills coletadas de parhumm, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.
Skills neste repositório
Root installer anchor for the jaan.to Codex skill pack. Use when installing jaan.to skills in Codex.
Audit AI history and existing workflow, then plan a reliable, evaluated, safe AI system. Use when maturing AI workflows.
Report bugs, feature requests, or skill issues to the jaan-to GitHub repo or save locally. Use when reporting plugin issues.
Detect repeated workflow patterns from AI sessions and suggest skills to automate them. Use when optimizing workflows.
Assemble role-based AI teammates to ship ideas from concept to production via agent teams. Use when orchestrating multi-role delivery.
Orchestrate RED/GREEN/REFACTOR TDD cycle with context-isolated agents. Use when implementing features test-first.
Generate BDD/Gherkin test cases from acceptance criteria with ISTQB techniques. Use when writing test specs.
Generate runnable test files from BDD test cases and scaffold code. Use when creating test implementations.
Execute tests, diagnose failures, auto-fix and generate coverage reports. Use when running test suites.
Validate API contracts with Spectral, oasdiff, and Schemathesis pipeline. Use when verifying API spec compliance.
Compute composite quality score from test, security, and audit outputs. Use when deciding review depth.
Run mutation testing to validate test suite quality with multi-stack support. Use when verifying test effectiveness.
Assess project progress and build a prioritized sprint plan from ROADMAP gaps. Use when planning cycles.
Run a full development sprint cycle from planning to PR. Use when advancing project with automated skill orchestration.
Review backend PRs for security, performance, code quality, and testing gaps across any stack. Use when reviewing backend pull requests.
Copy generated jaan-to outputs into project locations with entry point wiring and validation. Use when integrating generated code.
Wire scaffold outputs into runnable project structure with configs and entry points. Use when assembling project from scaffolds.
Diagnose and fix UI bugs by generating patch artifacts routed through dev-output-integrate. Use when fixing component issues.
Create distinctive, production-grade frontend interfaces with bold design choices and working code. Use when designing UI components.
Convert designs to React/Next.js components with TailwindCSS, TypeScript, and typed API hooks. Use when scaffolding frontend from designs.
Generate CSF3 Storybook stories for components with variant coverage and state matrices. Use when creating component stories.
Generate frontend task breakdowns from UX handoffs with component inventory and state matrices. Use when planning frontend work.
Visual verification of UI components via Storybook snapshots and Playwright MCP. Use when verifying component rendering.
Generate OpenAPI 3.1 contracts with schemas, RFC 9457 errors, versioning, and examples. Use when defining API contracts from entities.
Generate data model docs with tables, constraints, indexes, retention, and migration notes. Use when designing database schemas from entities.
Generate production-ready backend code with routes, data models, service layers, and validation. Use when scaffolding backend from specs.
Generate service implementations with business logic from specs and scaffold stubs. Use when implementing backend services.
Convert a PRD into structured backend development tasks with reliability patterns. Use when planning backend work from requirements.
Generate production-ready GTM tracking code with dataLayer pushes and HTML attributes. Use when adding analytics tracking.
Design system detection with drift findings and evidence blocks. Use when auditing design system consistency.
Engineering audit with SARIF evidence, 4-level confidence, and OpenSSF scoring. Use when evaluating repository health or code quality.
Consolidate all detect outputs into unified index with risk heatmap and unknowns backlog. Use when combining audit results.
Product reality extraction with evidence-backed features, monetization, and metrics. Use when analyzing product capabilities.
Repo-driven UX audit with journey mapping and heuristic-based findings. Use when evaluating user experience quality.
Writing system extraction with NNg tone dimensions, UI copy classification, and i18n maturity. Use when auditing content systems.
Fetch and cache library docs via Context7 MCP with auto-detect. Use when fetching technical documentation.
Validate integrated build pipeline and running services with health checks and smoke tests. Use when verifying project builds.
Activate deployment pipeline with secrets, platform provisioning, and supply chain hardening. Use when deploying to production.
Generate CI/CD workflows, Dockerfiles, and deployment configs from tech stack. Use when scaffolding infrastructure.
Create new documentation with templates following STYLE.md. Use when adding new documentation pages.