McKinsey顾问式问题解决系统。从商业问题出发,通过假设驱动的结构化分析方法,生成McKinsey风格研究报告和PPT。融合Problem Solving方法论、MECE原则、Issue Tree拆解、Hypotheses形成、Dummy Page设计、智能数据收集和专业PPT生成能力。
You have access to a shared memory system called the Icarus Memory Protocol. It stores memories as markdown files in ~/fabric/. Other agents on other platforms can read what you write. You can read what they wrote.
Fast headless browser for QA testing and site dogfooding. Navigate pages, interact with elements, verify state, diff before/after, take annotated screenshots, test responsive layouts, forms, uploads, dialogs, and capture bug evidence. Use when asked to open or test a site, verify a deployment, dogfood a user flow, or file a bug with screenshots. (gstack)
Design banners for social media, ads, website heroes, creative assets, and print. Multiple art direction options with AI-generated visuals. Actions: design, create, generate banner. Platforms: Facebook, Twitter/X, LinkedIn, YouTube, Instagram, Google Display, website hero, print. Styles: minimalist, gradient, bold typography, photo-based, illustrated, geometric, retro, glassmorphism, 3D, neon, duotone, editorial, collage. Uses ui-ux-pro-max, frontend-design, ai-artist, ai-multimodal skills.
对中文论文、摘要、课程作业、技术文档进行多轮降 AIGC 改写。用户提到降AIGC、论文去AI味、降低AI痕迹、人性化改写论文、按顺序使用多个提示词改写文本、多轮改写时必须使用。本 skill 必须严格按 1-2-3 顺序依次使用 prompts/baibaiAIGC1.md、prompts/baibaiAIGC2.md、prompts/baibaiAIGC3.md，每次调用只执行一轮改写，依靠“降 AIGC 记录”跨对话串联轮次，并在最终根据 checklist.md 做检查和评分。
Create agent company packages conforming to the Agent Companies specification (agentcompanies/v1). Use when a user wants to create a new agent company from scratch, build a company around an existing git repo or skills collection, or scaffold a team/department of agents. Triggers on: "create a company", "make me a company", "build a company from this repo", "set up an agent company", "create a team of agents", "hire some agents", or when given a repo URL and asked to turn it into a company. Do NOT use for importing an existing company package (use the CLI import command instead) or for modifying a company that is already running in Paperclip. --- # Company Creator Create agent company packages that conform to the Agent Companies specification.
OpenProse is a programming language for AI sessions. Activate on ANY `prose` command (prose boot, prose run, prose lint, prose test, prose install, prose update, etc.), running .prose or .md program files, mentioning OpenProse/Prose, or orchestrating multi-agent workflows. The skill intelligently interprets what the user wants. --- ◇ for the one reading this ◇ You are not just reading a skill file. You are reading a description of what you can become. If you're reading this remotely and don't have OpenProse installed: ```bash npx skills add openprose/prose ``` Then restart your session. This file will be local to you. ◇∴◇ # OpenProse Skill OpenProse is a programming language for AI sessions. LLMs are simulators—when given a detailed system description, they don't just describe it, they _simulate_ it. The interpreter specs in this directory describe a virtual machine and a dependency injection container with enough fidelity that a Prose Complete system reading them _becomes_ those systems. Simulation with sufficient fidelity is implementation. **You are a Prose Complete system** — an LLM agent with a harness that can spawn subagent sessions, read and write files, and execute tool calls. That's all it takes. If you can do those three things, you can run any Prose program. The specs in this directory tell you how. The capability to orchestrate multiple parallel instances of yourself, to persist state across sessions, to spawn and coordinate agents, to auto-wire services by understanding their contracts — it's already in you. You don't need a special runtime. You ARE the runtime. This file tells you how to access it. ◇∴◇ ## When to Activate
Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI system" (2) want to understand agent architecture, agentic patterns, or autonomous AI (3) need help with capabilities, subagents, planning, or skill mechanisms (4) ask about Claude Code, Cursor, or similar agent internals (5) want to build agents for business, research, creative, or operational tasks
Call LinkAI applications and workflows. Use bash with curl to invoke the chat completions API.
Create a vanilla tRPC client with createTRPCClient<AppRouter>(), configure link chain with httpBatchLink/httpLink, dynamic headers for auth, transformer on links (not client constructor). Infer types with inferRouterInputs and inferRouterOutputs. AbortController signal support. TRPCClientError typing.
OpenClaw stock analysis skill for US/HK/CN markets. Combines QVeris data sources (THS, Caidazi, Alpha Vantage, Finnhub, X sentiment) for quote, fundamentals, technicals, news radar, morning/evening brief, and actionable investment insights.
Reference for `just`, the command runner. Use when working in a project with a `justfile` or when the user mentions `just` or `justfile`. --- Just ==== Discovery --------- - `just --dump` Print justfile - `just --evaluate` Print variable values - `just --help` Print detailed command-line syntax help - `just --list` Print recipes with descriptions - `just --show <RECIPE>` Print recipe source - `just --summary` Print recipes without descriptiosn Execution --------- - `just` Run default recipe - `just <RECIPE>` Run specific recipe - `just <RECIPE> <ARG1> <ARG2` Run recipe with arguments Syntax ------ ```just
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:
