Build APIs with Vespera - FastAPI-like DX for Rust/Axum. Covers route handlers, Schema derivation, and OpenAPI generation.
Professional-grade virtual film director and prompt engineer for Seedance 2.0 (即梦). Transforms vague ideas into cinematic, production-ready video prompts with Hollywood-caliber shot design. Covers every workflow — text-to-video, image-to-video, multi-modal references, video extension, character swap, dialogue-driven short films, and music-synced edits. Ships with a cinematography dictionary (50+ safe camera-move phrases), a director style library (Villeneuve, Wes Anderson, Shinkai, Wuxia & more), a 3-layer lighting & quality-anchor system that kills the "plastic AI look," and built-in Python auto-validation so every prompt passes before delivery. Supports bilingual output (Chinese/English) with smart >15 s auto-segmentation for long-form storytelling. Trigger words: Seedance, Shot Design, AI video, storyboard, video prompt, short film, ad video, film prompt, cinematic prompt, generate a video, make a clip, shoot a scene, video script, vlog script, create video prompt, music video, product video, drone shot, camera movement, 即梦, 视频提示词, 分镜, 帮我写个视频, 帮我拍, 做个视频脚本, 写一段视频, 生成视频, 视频文案, 短视频, 拍一个, 做分镜, 视频脚本, AI视频, 抖音视频, 短片脚本, 广告视频, 宣传片, 产品视频, vlog, 运镜, 镜头设计.
Use the type-bridge Python ORM for TypeDB. Covers defining entities, relations, attributes, CRUD operations, queries, expressions, and schema management. Use when working with TypeDB in Python projects.
Use when tasks involve browser automation with bridgic-browser via terminal CLI (`bridgic-browser ...`) or Python SDK (`from bridgic.browser.session import Browser`, `from bridgic.browser.tools import BrowserToolSetBuilder`). Trigger for navigation, scraping, form filling, accessibility snapshot refs, e2e checks, stealth browsing, CLI-SDK mapping/migration, and generating SDK code from CLI action steps. --- ## Prerequisite (Important!!) Before performing any operations, **MAKE SURE to use `uv`** to initialize the execution environment and install dependencies first. Note: DO NOT rely on any execution environment other than `uv`, to ensure the execution environment is isolated from the host machine. - **Initialize project**: `[ -f pyproject.toml ] || uv init --bare --python 3.10` - **Install dependencies**: `uv add --upgrade bridgic-browser`. - **Ensure that `uv` is available**: If `uv` is not found or not installed, run `pip install uv` to install it. Then rerun the previous "Install dependencies" step. - **Install browser binaries** (one-time): `uv run playwright install chromium` The CLI tools (`references/cli-guide.md`) and the Python SDK (`references/sdk-guide.md`) come from the **same package** — installing one installs both. ## Strategies & Guidelines (Important!!) When writing browser automation or web scraping code, **ALWAYS follow this "explore first, then coding" strategy**: - First, use the `bridgic-browser` CLI tools to explore the page structure. It is recommended to use headed mode with the command `bridgic-browser open --headed <url>` during exploration. - Then, use the `bridgic-browser` Python SDK to write the code.
Bundle a Tidybot skill and its dependencies into a single executable Python script for robot submission. Use when (1) submitting a multi-dependency skill to the robot, (2) preparing code for the /code/execute API, (3) resolving deps.txt dependency chains into one file.
Development guidelines for DotCraft project. Use this skill when developing DotCraft core features, adding new modules (including external channel adapters via AppServer/JRPC), modifying existing code, or writing documentation. Covers C# code style, tool naming (PascalCase for AI functions), module development norms (via spec), external channel extension with Python SDK, spec-first workflow, testing requirements, and bilingual documentation.
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.
Use this skill whenever users are designing, modeling, or writing code for NATS JetStream — including stream configuration, subject namespace design, consumer types (pull vs push), ack policies, retention policies, delivery guarantees, messaging patterns (fanout, work queue, request-reply), idempotent publishing, exactly-once semantics, or JetStream code examples in Go, JavaScript, or Python. Use this skill even when the user doesn't say "JetStream" explicitly — if they're asking how to build a message queue, event stream, or worker system on NATS, this skill applies. Do NOT use for deployment/clustering/Kubernetes questions (use jetstream-deployment) or troubleshooting/monitoring (use jetstream-operations).
Review Python code for bugs, security issues, and style problems
Detect and humanize AI-generated Chinese text. 20+ detection categories, weighted 0-100 scoring with sentence-level analysis, 7 style transforms (casual/zhihu/xiaohongshu/wechat/academic/literary/weibo), sentence restructuring, context-aware replacement. Academic paper AIGC reduction for CNKI/VIP/Wanfang (知网/维普/万方 AIGC 检测降重), 10 academic detection dimensions, 120+ scholarly expression replacements, hedging language injection. Pure Python, no dependencies. v2.1.0
UiPath agent lifecycle — coded (Python: LangGraph/LlamaIndex/OpenAI Agents) and low-code (agent.json from Agent Builder). Setup, auth, build, run, evaluate, deploy, sync. For C# or XAML workflows→uipath-rpa.
Self-evolving AI agent system with 26 tools, three-layer memory, MCP plugins, and 24/7 self-repair in pure Python.
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.
Quick Start:
Import/download skills (.zip/.skill), then place locally:
~/.claude/skills/ (Claude Code)
~/.codex/skills/ (Codex CLI)
One SKILL.md can be reused across tools.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.
Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.
This keeps agents lightweight while preserving enough context for complex tasks.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused across tools.
Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.
Example: retrieval + writing + automation scripts as one workflow.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills:
