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Agent Skills

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gpg-multi-key

Advanced GPG multi-key management strategies for consultants, CI/CD automation, and enterprise teams. Configure, set up, run, and execute multi-key GPG workflows. Use when managing multiple GPG keys (personal + automation, per-client keys, enterprise keys), configuring CI/CD commit signing, implementing per-client key isolation, using conditional Git includes, setting up automated signing, or scaling GPG key strategies beyond single-key setups.

prorise-cool
prorise-cool
26167

github-issues

Query and search GitHub issues using gh CLI with web fallback. Supports filtering by labels, state, assignees, and full-text search. Use when troubleshooting errors, checking if an issue is already reported, or finding workarounds.

prorise-cool
prorise-cool
26167

architecture-specialist

提供系统架构设计、技术选型、架构审查和组件设计能力。当需要设计新系统、重构现有架构或进行架构审查时使用。

prorise-cool
prorise-cool
26167

artifacts-builder

一套用于使用现代前端 Web 技术(React、Tailwind CSS、shadcn/ui)创建复杂的多组件 claude.ai HTML 工件的工具集。适用于需要状态管理、路由或 shadcn/ui 组件的复杂工件,不适用于简单的单文件 HTML/JSX 工件。

prorise-cool
prorise-cool
26167

backend-specialist

提供后端开发、API 设计、数据库交互和框架特定开发能力。当需要实现后端功能、设计 API 或处理数据层逻辑时使用。

prorise-cool
prorise-cool
26167

ba-orchestration

Multi-technique business analysis orchestration using BABOK. Coordinates 14 techniques across strategic analysis, problem solving, planning, and design into comprehensive analysis packages.

prorise-cool
prorise-cool
26167

benchmarking

Benchmarking and competitive analysis techniques. Compares performance, processes, and practices against industry standards, competitors, and best-in-class organizations.

prorise-cool
prorise-cool
26167

business-model-canvas

Business model design using Osterwalder's Business Model Canvas and Lean Canvas. Creates 9-block canvases with structured analysis for business model innovation and startup validation.

prorise-cool
prorise-cool
26167

capability-mapping

Business capability modeling using BABOK Business Capability Analysis. Creates hierarchical capability maps (L1-L3) linking strategy to architecture with Mermaid visualization.

prorise-cool
prorise-cool
26167

data-modeling

Data modeling with Entity-Relationship Diagrams (ERDs), data dictionaries, and conceptual/logical/physical models. Documents data structures, relationships, and attributes.

prorise-cool
prorise-cool
26167

qstash-js

Work with the QStash JavaScript/TypeScript SDK for serverless messaging, scheduling. Use when publishing messages to HTTP endpoints, creating schedules, managing queues, verifying incoming messages in serverless environments.

upstash
upstash
26128

harmonyos-device-automation

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web-infra-dev
web-infra-dev
25718

vitest-midscene-e2e

Enhances Vitest with Midscene for AI-powered UI testing across Web (Playwright), Android (ADB), and iOS (WDA). Scaffolds new projects, converts existing projects, and creates/updates/debugs/runs E2E tests using natural-language UI interactions. Triggers: write test, add test, create test, update test, fix test, debug test, run test, e2e test, midscene test, new project, convert project, init project, 写测试, 加测试, 创建测试, 更新测试, 修复测试, 调试测试, 运行测试, 新建工程, 转化工程.

web-infra-dev
web-infra-dev
25718

android-device-automation

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web-infra-dev
web-infra-dev
25718

browser-automation

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web-infra-dev
web-infra-dev
25718

computer-automation

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web-infra-dev
web-infra-dev
25718

ios-device-automation

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web-infra-dev
web-infra-dev
25718

latex-rhythm-refiner

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renocrypt
renocrypt
25724

arxiv-paper-writer

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renocrypt
renocrypt
25724

collaborating-with-claude

Use the Claude Code CLI to consult Claude and delegate coding tasks for prototyping, debugging, and code review. Supports multi-turn sessions via SESSION_ID. Optimized for low-token, file/line-based handoff.

renocrypt
renocrypt
25724

collaborating-with-gemini

Use the Gemini CLI to consult Gemini and delegate coding tasks for prototyping, debugging, and code review. Supports multi-turn sessions via SESSION_ID. Optimized for low-token, file/line-based handoff.

renocrypt
renocrypt
25724

home-assistant-best-practices

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homeassistant-ai
homeassistant-ai
25411

research-executor

执行完整的 7 阶段深度研究流程。接收结构化研究任务,自动部署多个并行研究智能体,生成带完整引用的综合研究报告。当用户有结构化的研究提示词时使用此技能。

liangdabiao
liangdabiao
25154

synthesizer

将多个研究智能体的发现综合成连贯、结构化的研究报告。解决矛盾、提取共识、创建统一叙述。当多个研究智能体完成研究、需要将发现组合成统一报告、发现之间存在矛盾时使用此技能。

liangdabiao
liangdabiao
25154

stock-research-executor

股票投资调研执行引擎,执行8阶段投资尽调流程。接收stock-question-refiner生成的结构化调研指令,部署多智能体并行研究,生成带引用的投资尽调报告。覆盖:公司事实底座、行业周期、业务拆解、财务质量、股权治理、市场分歧、估值护城河、综合报告。当用户需要进行股票投资研究、基本面分析、投资尽调时使用此技能。

liangdabiao
liangdabiao
25154

stock-question-refiner

股票投资调研问题细化技能。将用户提供的股票名称/代码细化为结构化的8阶段投资尽调指令。通过提问澄清投资风格(价值/成长/困境反转)、持有周期(短/中/长线)、风险偏好、研究重点,生成符合专业投资研究标准的结构化调研任务。当用户提到股票分析、投资研究、股票尽调时使用此技能。

liangdabiao
liangdabiao
25154

citation-validator

验证研究报告中所有声明的引用准确性、来源质量和格式规范性。确保每个事实性声明都有可验证的来源,并提供来源质量评级。当最终确定研究报告、审查他人研究、发布或分享研究之前使用此技能。

liangdabiao
liangdabiao
25154

got-controller

Graph of Thoughts (GoT) Controller - 管理研究图状态,执行图操作(Generate, Aggregate, Refine, Score),优化研究路径质量。当研究主题复杂或多方面、需要策略性探索(深度 vs 广度)、高质量研究时使用此技能。

liangdabiao
liangdabiao
25154

question-refiner

将原始研究问题细化为结构化的深度研究任务。通过提问澄清需求,生成符合 OpenAI/Google Deep Research 标准的结构化提示词,完全替代 ChatGPT 的问题细化功能。当用户提出研究问题、需要帮助定义研究范围、或想要生成结构化研究提示词时使用此技能。

liangdabiao
liangdabiao
25154

uniapp-project-creator

Creates new uni-app projects via the official CLI or HBuilderX with Vue 2/Vue 3 template selection, manifest.json and pages.json configuration, and directory structure setup. Use when the user wants to scaffold a new uni-app project, initialize project files with a single command, or set up the development environment.

partme-ai
partme-ai
25040

tauri-build

Build production-ready Tauri v2 app bundles with code signing and distribution packaging for all platforms. Use when creating release builds, configuring code signing for macOS/Windows, or setting up CI pipelines for app distribution.

partme-ai
partme-ai
25040

tauri-concept

Explain Tauri v2 architecture concepts including the process model, IPC isolation, and brownfield integration patterns. Use when understanding how Tauri works internally, choosing between isolation and brownfield modes, or making architecture decisions before implementation.

partme-ai
partme-ai
25040

threejs-node-tsl

three.js node-based shading: Nodes API surface, NodeMaterial and MeshStandardNodeMaterial-style families, TSL (Three.js Shading Language) entry at TSL.html, WebGPURenderer pairing, and core PostProcessing (class) versus addon EffectComposer at a high level. Use when authoring shaders as graphs, using TSL builtins, compute-oriented nodes, or modern WebGPU pipelines; for classic ShaderMaterial GLSL use threejs-materials; for stock EffectComposer passes use threejs-postprocessing; for WebGLRenderer-only tuning use threejs-renderers.

partme-ai
partme-ai
25040

threejs-math

three.js math library: Vector2/3/4, Matrix3/4, Quaternion, Euler, Color, Box2/Box3, Sphere, Plane, Ray, Line3, Triangle, Frustum, Cylindrical/Spherical coords, MathUtils, and Interpolant base classes; addon math utilities such as OBB, Octree, Capsule, ConvexHull, MeshSurfaceSampler. Use for transforms, intersection tests, and spatial queries; for keyframe interpolation tied to AnimationMixer use threejs-animation; for picking implementation use threejs-objects with Raycaster.

partme-ai
partme-ai
25040

tauri-scaffold

Scaffold a Tauri v2 project with create-tauri-app, configure project structure, and set up static export for frontend frameworks. Use when creating a new project, understanding the Tauri project structure, or configuring SSG/static export for Next.js or SvelteKit.

partme-ai
partme-ai
25040

skill-installer

Discovers, installs, and manages AI skills from the PartMe marketplace. Acts as the local package manager for Knowledge-as-a-Service (KaaS) and Tool-as-a-Service (TaaS) skills. Use when the user wants to search for available skills, install a new skill into their environment, or list currently installed skills.

partme-ai
partme-ai
25040

skill-sop-creator

Creates Standard Operating Procedures (SOPs) by combining atomic Agent Skills into multi-step composite workflows with decision logic and human-in-the-loop checkpoints. Supports searching available skills, drafting SOP structures, and validating dependencies. Use when the user wants to design automated business workflows, chain multiple skills into a repeatable process, or create composite skill orchestrations.

partme-ai
partme-ai
25040

tauri-mobile

Set up Tauri v2 for Android and iOS development including build configuration, bundle identifiers, and mobile debugging. Use when adding mobile targets to a Tauri app, configuring Android/iOS bundle IDs, or debugging on mobile devices and emulators.

partme-ai
partme-ai
25040

tauri-ipc

Implement frontend-to-Rust IPC using invoke calls, Tauri commands, and type-safe bindings in Tauri v2. Use when defining Rust commands callable from the frontend, setting up typed IPC contracts, or implementing bidirectional event-based communication.

partme-ai
partme-ai
25040

tauri-framework-upgrade

Migrate Tauri apps from v1 to v2 or from v2 beta to v2 stable, handling breaking changes in config, plugins, and permissions. Use when upgrading Tauri versions, resolving migration errors, or updating config/capability formats for v2.

partme-ai
partme-ai
25040

tauri-framework-security

Harden a Tauri v2 app with baseline security controls including CSP, HTTP headers, runtime authority, and capability matrices. Use when performing security audits, configuring CSP/headers per window, or building a minimum-privilege capability matrix for production.

partme-ai
partme-ai
25040

tauri-config

Configure tauri.conf.json for Tauri v2 apps including app metadata, build settings, plugins, CSP, and platform-specific sections. Use when editing tauri.conf.json, migrating config from v1 to v2, or setting up CSP and platform-specific configuration.

partme-ai
partme-ai
25040

tauri-app-plugin-permissions

Author and audit Tauri v2 plugin permissions, generate capability files, and handle cross-platform permission differences. Use when writing plugin permission schemas, generating capabilities/default.json, or auditing permissions across Windows/macOS/Linux/mobile.

partme-ai
partme-ai
25040

uniapp-project

Provides per-component and per-API examples with cross-platform compatibility details for uni-app, covering built-in components, uni-ui components, and APIs (network, storage, device, UI, navigation, media). Use when the user needs official uni-app components or APIs, wants per-component examples with doc links, or needs platform compatibility checks.

partme-ai
partme-ai
25040

uniapp-ucharts

Integrates uCharts data visualization into UniApp projects including easycom configuration, pages.json and manifest.json setup, platform-specific handling (H5, mini-program, App, nvue), and chart lifecycle management. Use when the user needs to add charts to a UniApp project, configure uCharts components, or handle cross-platform chart rendering.

partme-ai
partme-ai
25040

uniapp-uview

Integrates uView UI component library into UniApp projects including easycom configuration, pages.json and manifest.json setup, SCSS theming, and platform-specific handling (H5, mini-program, App, nvue). Use when the user needs to add uView UI components to a UniApp project, configure easycom auto-import, or handle cross-platform styling.

partme-ai
partme-ai
25040

uniappx-project-creator

Creates new uni-app-x projects with Vue 3 + TypeScript + Vite via CLI or HBuilderX, including tsconfig.json setup, manifest.json and pages.json configuration, and Composition API project templates. Use when the user wants to scaffold a new uni-app-x project, initialize TypeScript project files, or set up the uni-app-x development environment.

partme-ai
partme-ai
25040

uniappx-project

Provides per-component and per-API examples with platform compatibility details for uni-app-x (Vue 3 + TypeScript + Vite). Use when the user needs official uni-app-x built-in components, API references with examples, cross-platform compatibility checks, or conditional compilation guidance for uni-app-x projects.

partme-ai
partme-ai
25040

uniapp-cloud

Guides uniCloud cloud development in uni-app including project setup, cloud database CRUD operations, cloud function deployment, cloud storage file management, and datacom component data binding. Use when the user needs to integrate uniCloud services, work with cloud databases, create cloud functions, or manage cloud storage in a uni-app project.

partme-ai
partme-ai
25040

uniapp-ad

Integrates uni-ad monetization into uni-app applications including banner, interstitial, rewarded video, and native ad types with event handling and placement configuration. Use when the user needs to add ad monetization, configure ad types, handle ad load/show/close/error events, or optimize ad revenue in a uni-app project.

partme-ai
partme-ai
25040

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.