Explorar skills

Enriches implementation roadmap chunks with acceptance criteria, pattern references, and contextual notes. Use after decomposing-work has produced the structural roadmap and before planning-software creates the orchestration plan. Does not modify chunk structure or dependencies.

Auto-activate for Litestar plugins=, InitPluginProtocol, CLIPluginProtocol, SerializationPluginProtocol, OpenAPISchemaPluginProtocol, DomainPlugin, app plugin lists, or first-party plugin composition. Use when wiring Litestar plugins or authoring plugin protocols. Not for installing unrelated Python packages or deployment plugin marketplaces.

Auto-activate for pytest_databases imports, conftest.py database fixtures, Docker-backed PostgreSQL/MySQL/SQLite/Oracle tests, or integration-test database lifecycle. Use when configuring pytest database containers and fixtures. Not for mocked databases or non-pytest test frameworks.

Use when user invokes /harness-compile or wants to compile a harness.yaml into native config files for Claude Code, Cursor, and GitHub Copilot. Generates CLAUDE.md, AGENT.md, .mcp.json, .cursor/rules/, .vscode/mcp.json, and related files from a single harness.yaml source. Supports --target, --dry-run, and --clean flags.

Use when you need to analyze images, PDFs, screenshots, or mockups.

Health-check the knowledge bank for orphan documents, stale content, broken WikiLinks, index drift, and missing frontmatter. Generates a severity-graded report. Use this skill whenever the user mentions lint, health check, KB maintenance, stale docs, broken links, orphan pages, missing references, knowledge bank quality, or hasn't run a check in a while. Also trigger when the user asks "what's not

Um pipeline completo para publicar vídeos do Google Drive no YouTube, que inclui download, upload, transcrição de áudio via Deepgram ou Fireworks Whisper, geração de título, descrição e timestamps, e limpeza de arquivos temporários.

Crie arquivos SKILL.md para Claude Code, Codex, Amp, OpenCode. Inclui exemplos de produção e padrões para estrutura de skills, scripts, distribuição e como tornar ferramentas CLI nativas de IA.

Collects research sources with quality evaluation. Use when gathering or finding sources, building a source library, searching for academic papers, or performing RADAR assessment.

Auto-activate for uv build, hatch build, pyapp, Hatchling force-include, bundled frontend assets, PyApp onefile binaries, GitHub Actions build matrices, PYAPP_* env vars, cargo-zigbuild, or python-build-standalone. Use when packaging Litestar apps as wheels, onefile binaries, release artifacts, or asset-bundled distributions. Not for runtime deployment - use litestar-deployment.

Utilize quando o usuário deseja revisar, avaliar ou fornecer feedback sobre uma tese de mestrado ou doutorado. Suporta todas as disciplinas com módulos de revisão específicos para cada área.

UI/UX 专业设计（PDLC 集成层，依赖 ui-ux-pro-max）