Interactive idea development through guided Q&A dialogue. This skill helps users clarify and develop their ideas by asking targeted questions, expanding on possibilities, and producing a structured markdown document capturing the essence of their thinking.
Use when an agent needs the visible local Grasp browser runtime for multi-step web tasks or public-web extraction through one interface: confirm the runtime instance, enter URLs, inspect/extract/share page content, switch visible tabs, interact with live pages, fill forms, operate authenticated workspaces, capture screenshots, and recover through handoff after login or CAPTCHA checkpoints.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
Structures AI and ML product decisions including model selection, data requirements, evaluation frameworks, and responsible AI considerations. Use when building AI-powered features, evaluating LLM integrations, designing AI products, or assessing AI readiness. Triggers on "AI product", "LLM feature", "AI canvas", "build with AI", "AI integration", "AI-powered", "machine learning feature".
Browse entities in the Remnic knowledge graph and surface their facts and relationships. Trigger phrases include "tell me about the entity", "look up", "what do we know about".
用于撰写、补写、压缩、仿写、规范化交付中文毕业论文、毕业设计论文、技术报告和课程设计论文。用户提到论文、样文、学校模板、参考文献、摘要、图表、截图、Word 成稿、查重口吻优化，或需要基于真实项目代码生成论文正文时必须使用。本技能内置样文结构学习、样式提取、章节控字、参考文献筛选、Mermaid/PlantUML 图表处理、Chrome MCP 页面截图工作流，以及 doc/docx Word 成稿交付工作流。
Run a regression-tests-first cleanup/refactor workflow to reduce slop
Evaluate code quality and suggest refactoring opportunities before committing. Ensure Cooper's codebase stays clean and maintainable.
Bitbucket CLI for Data Center and Cloud. Use when users need to manage repositories, pull requests, branches, issues, webhooks, or pipelines in Bitbucket. Triggers include "bitbucket", "bkt", "pull request", "PR", "repo list", "branch create", "Bitbucket Data Center", "Bitbucket Cloud", "keyring timeout".
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.
Use this skill when designing, documenting, or generating REST API specifications using OpenAPI/Swagger. Trigger on keywords like OpenAPI, Swagger, API spec, REST documentation, API schema, request body, response schema, and API client generation. Also apply when adopting design-first API development, validating API contracts, or setting up auto-generated API documentation for FastAPI, Express, or NestJS endpoints. --- # OpenAPI & REST API Design ## When to Use - Documenting REST APIs - Generating API clients - API design-first development - Defining webhook contracts - Establishing pagination, versioning, or auth patterns for a new service ## When NOT to Use - Internal-only scripts or automation that do not expose HTTP endpoints - CLI tools and command-line utilities without a REST interface - GraphQL APIs where a different specification format applies --- ## Core Patterns ### 1. OpenAPI 3.1 Specification Structure A complete spec skeleton showing every top-level section. Use `$ref` to split large specs into per-resource files. ```yaml
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:
