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Found 54 Skills
Generate or remediate documentation with human-quality writing and style adherence. Use when creating new documentation, rewriting AI-generated content, or applying style profiles. Do not use for slop detection only (use slop-detector) or learning styles (use style-learner).
API testing and contract validation across REST (OpenAPI 3.1), GraphQL (SDL), and gRPC (proto). Use when you need schema linting/validation, breaking-change detection (openapi diff, GraphQL schema diff, buf breaking), consumer/provider contract tests (Pact or schema-driven), negative/security testing, and CI quality gates.
Execute a PRP with validation loop, TDD workflow, and quality gates
Full code review, fix, quality, PR workflow. Chains review-branch, address-review, check-quality, and pr. Use when: code complete and ready for PR, want comprehensive review before shipping.
Use this skill when building programmatic SEO pages at scale - template-based page generation, data-driven landing pages, automated internal linking, and avoiding thin content or doorway page penalties. Triggers on generating thousands of location pages, comparison pages, tool pages, or any template-driven SEO content strategy that creates pages programmatically from data sources.
Enforces spec-before-code workflow for AI-driven development. Automatically selects Spec-Kit or OpenSpec mode, triages complexity (quick/standard/thorough), recovers session context, and applies quality gates (G0-G4) with automated review loops at every stage. Use this skill whenever the user says "/super-spec", "spec first", "规范先行", or starts any feature, bugfix, or refactor — especially in projects with .spec-mode, .specify/, or openspec/ directories. Even if the user doesn't explicitly ask for spec-driven workflow, activate this skill for any non-trivial code change to prevent skipping the design phase. Orchestrates: Spec-Kit/OpenSpec (OPSX) + planning-with-files + ui-ux-pro-max (v2.0, 67 styles, 161 palettes, 13 stacks) + Superpowers (TDD, code review, verification, debugging, spec/plan review loops, subagent model selection).
Bun implementation guide for PMA-managed backend and full-stack projects. Covers project layout (src/modules), strict linting with ESLint + @antfu/eslint-config, database access (Drizzle ORM + bun:sqlite or PostgreSQL), HTTP patterns (OpenAPIHono + Bun.serve), layered config with environment variables, dual logging (consola + pino), single-binary compilation with embedded assets, and CI quality gates.
FORGE Autopilot — Intelligent autonomous mode. FORGE analyzes the project state, automatically decides the next action, and orchestrates all agents until completion. Configurable checkpoints for human review. Usage: /forge-auto or /forge-auto "specific objective"
Evidence-based test debugging enforcing systematic root cause analysis. Use when tests are failing, pytest errors occur, test suite not passing, debugging test failures, or fixing broken tests. Prevents assumption-based fixes by enforcing proper diagnostic sequence. Works with Python (.py), JavaScript/TypeScript (.js/.ts), Go, Rust test files. Supports pytest, jest, vitest, mocha, go test, cargo test, and other frameworks.
SonarQube/SonarCloud integration for continuous code quality. Setup, configuration, quality gates, and CI/CD integration. USE WHEN: user mentions "SonarQube", "SonarCloud", "quality gates", asks about "code coverage", "technical debt", "code smells", "sonar-project.properties", "SonarScanner" DO NOT USE FOR: ESLint/Biome - use linting skills, OWASP security - use security skills, testing tools - use Vitest/Playwright skills
AI-assisted UI generation patterns for json-render, v0, Bolt, and Cursor workflows. Covers prompt engineering for component generation, review checklists for AI-generated code, design token injection, refactoring for design system conformance, and CI gates for quality assurance. Use when generating UI components with AI tools, rendering multi-surface MCP visual output, reviewing AI-generated code, or integrating AI output into design systems.
Educational guide on best practices for creating implementation plans that prevent drift. Covers style anchors, task sizing, TDD requirements, affirmative instructions, drift handling, and quality gates. Use when creating or improving implementation plans to ensure they follow proven patterns.