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Found 1,884 Skills
Use this when the user explicitly requests to "write/polish NSFC grant abstract", "generate Chinese and English abstracts", or "translate Chinese abstract to English abstract". Output both Chinese and English versions: The English version must be a faithful translation of the Chinese version (no additional information, no omission of key constraints). The default limit for Chinese abstract is ≤400 characters (including punctuation), and ≤4000 characters for English abstract (including punctuation); the final limit shall prevail as specified in `skills/nsfc-abstract/config.yaml:limits`. Also output **title suggestions**: By default, provide 1 recommended title + 5 candidate titles with justifications (the quantity shall follow `config.yaml:title.title_candidates_default`). Output method: Write the results to `NSFC-ABSTRACTS.md` in the **working directory** (the file name shall follow `config.yaml:output.filename`), which includes in order `# Title Suggestions`, Chinese abstract, English abstract, and length self-check. ⚠️ Not applicable in the following cases: - The user only wants to translate a general text unrelated to grant proposals (direct translation is required instead) - The user only wants to write the main body of project justification/research content/research foundation (use the corresponding NSFC series skill instead)
Configura proyectos con scripts de check y detecta CLIs. Usa cuando el usuario diga "configurar proyecto", "setup", "inicializar proyecto", "agregar npm run check", "qué CLIs tengo", o empiece a trabajar en un proyecto nuevo.
Metodología completa para levantamiento de requerimientos de software y negocios. Usar cuando se necesite documentar un proyecto nuevo, validar una idea de negocio, crear especificaciones técnicas, o generar documentación completa que cubra visión de negocio, stakeholders, procesos, requerimientos funcionales y no funcionales, modelo de datos, integraciones, riesgos y roadmap. Ideal para proyectos que requieren cotización, desarrollo, delegación o presentación a inversores.
Expert blueprint for genre-specific project boilerplates (2D platformer, top-down RPG, 3D FPS) including directory structures, AutoLoad patterns, and core systems. Use when bootstrapping new projects or migrating architecture. Keywords project templates, boilerplate, 2D platformer, RPG, FPS, AutoLoad, scene structure.
Expert patterns for simplifying 3D games to 2D including dimension reduction strategies, camera flattening, physics conversion, 3D-to-sprite art pipeline, and control simplification. Use when porting 3D to 2D, creating 2D versions for mobile, or prototyping. Trigger keywords: CharacterBody3D to CharacterBody2D, Camera3D to Camera2D, Vector3 to Vector2, flatten Z-axis, orthogonal projection, 3D to sprite conversion, performance optimization.
Capture explored work as a backlog item for future implementation. Use when you've explored an enhancement, alternative approach, or feature but decided to defer it. Creates comprehensive plan files in backlog/ directory with enough context for a future session to execute efficiently.
Complete browser automation with Playwright. **ALWAYS use when user needs browser testing, E2E testing, screenshots, form testing, or responsive design validation.** Auto-detects dev servers, saves test scripts to working directory. Examples - "test this page", "take screenshots of responsive design", "test login flow", "check for broken links", "validate form submission".
Initialize new Dojo projects with proper directory structure, configuration files, and dependencies. Use when starting a new Dojo game project or setting up the initial project structure.
Build AI agents with Cloudflare Agents SDK on Workers + Durable Objects. Includes critical guidance on choosing between Agents SDK (infrastructure/state) vs AI SDK (simpler flows). Use when: deciding SDK choice, building WebSocket agents with state, RAG with Vectorize, MCP servers, multi-agent orchestration, or troubleshooting "Agent class must extend", "new_sqlite_classes", binding errors.
Professional A-share market comment writing tool that creates market analysis articles in the "Nian Nian You Yu" style based on real market data, covering market trends, sector performance, capital flows, technical and fundamental analysis
Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results.
Multi-route literature expansion + metadata normalization for evidence-first surveys. Produces a large candidate pool (`papers/papers_raw.jsonl`, target ≥1200) with stable IDs and provenance, ready for dedupe/rank + citation generation. **Trigger**: evidence collector, literature engineer, 文献扩充, 多路召回, snowballing, cited by, references, 元信息增强, provenance. **Use when**: 需要把候选文献扩充到 ≥1200 篇并补齐可追溯 meta（survey pipeline 的 Stage C1，写作前置 evidence）。 **Skip if**: 已经有高质量 `papers/papers_raw.jsonl`（≥1200 且每条都有稳定标识+来源记录）。 **Network**: 可离线（靠 imports）；雪崩/在线检索需要网络。 **Guardrail**: 不允许编造论文；每条记录必须带稳定标识（arXiv id / DOI / 可信 URL）和 provenance；不写 output/ prose。