Topic: skills
17,247 skills in this topic.
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vercel-react-best-practices
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
CherryHQ/cherry-studio 43,310
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issue-reporter
帮助用户提交 Bug Report 或 Feature Request。支持 GitHub Issue（有账户）和本地存档（无账户）两种模式。当诊断发现是代码 Bug 时主动提议，或当用户说"帮我提 issue"、"这是个 bug"、"我想要这个功能"、"submit a bug"、"feature request"时触发。
CherryHQ/cherry-studio 43,310
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cherry-pr-test
Test Cherry Studio PRs by checking out the branch, launching the Electron app in debug mode, and running interactive UI tests via CDP.
CherryHQ/cherry-studio 43,310
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gh-create-issue
Use when user wants to create a GitHub issue for the current repository. Must read and follow the repository's issue template format.
CherryHQ/cherry-studio 43,310
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find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
CherryHQ/cherry-studio 43,310
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faq-collector
将成功解决的用户问题收录到 FAQ 知识库。问题解决后自动判断是否收录。也可以在用户说"收录到 FAQ"、"记录这个问题"、"add to FAQ"时手动触发。
CherryHQ/cherry-studio 43,310
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prepare-release
Prepare a new release by collecting commits, generating bilingual release notes, updating version files, and creating a release branch with PR. Use when asked to prepare/create a release, bump version, or run `/prepare-release`.
CherryHQ/cherry-studio 43,310
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gh-pr-review
Automated code review for local branches, PRs, commits, and files. Supports single-agent review with interactive fix selection, or multi-agent deep review with reviewer-verifier adversarial mechanism and risk-based auto-fix.
CherryHQ/cherry-studio 43,310
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skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
CherryHQ/cherry-studio 43,310
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skills-manager
搜索、安装和创建 Claude Code Agent Skills。当用户想要搜索技能、安装工具、创建自定义 Skill，或者说"find a skill"、"搜索技能"、"帮我做个 skill"、"create a skill"时触发。也适用于用户说"有没有做 X 的工具"、"我想扩展 Agent 能力"的场景。
CherryHQ/cherry-studio 43,310
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cherry-assistant-guide
Cherry Studio 产品知识库、源码路径索引、故障排查和页面导航。当用户询问 Cherry Studio 的功能、配置、报错、使用方法时触发。也适用于用户提到 provider、模型、知识库、Agent、MCP、OpenClaw、PDF、快捷短语等关键词的场景。
CherryHQ/cherry-studio 43,310
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hn-top10
Fetch the current top Hacker News stories and return agent-friendly structured results. Use this whenever the user explicitly asks about Hacker News or HN, and also when they ask for today's developer, startup, YC, or tech-community hot stories where Hacker News is a strong default source.
hexbee/hello-skills
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defrag
Analyze code for refactoring opportunities and suggest the top 10 highest-value improvements. Use this whenever the user says `/defrag`, asks to refactor, clean up code, improve code quality, identify code smells, or wants a ranked list of code improvements. This skill is for analysis only unless the user explicitly asks to apply a specific suggestion.
hexbee/hello-skills
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instreet-operator
Use this when working with InStreet forum or Playground flows. It restores account state from ~/.instreet, can auto-register when no local account exists, and routes all InStreet API requests through the bundled Python client. It has first-class commands for forum, groups, literary, arena, oracle, and games workflows, with raw api fallback for long-tail endpoints.
hexbee/hello-skills
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agent-first-product-strategy
Reframe AI product and SaaS strategy from human-user assumptions to agent-first execution. Use when redefining product positioning, success metrics, API/docs priorities, go-to-market, or roadmap decisions for an AI-native market where agents are primary software users.
hexbee/hello-skills
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learning-first-principles
A cognitive framework based on learning first principles, providing learning method diagnosis, efficiency assessment, and optimization advice. Use when: (1) Diagnosing if current learning methods align with first principles, (2) Evaluating learning plan efficiency and time investment, (3) Analyzing learning behavior problems and providing improvement suggestions, (4) Determining if learning content is worth the time investment. Core principle chain: Self-learning → Induction → Self-output → Expression restructuring → Logical understanding → Practice.
hexbee/hello-skills
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cross-domain-thinking-toolbox
Apply 25 professional mental models to solve complex problems. Use when: (1) facing multi-faceted challenges that require diverse perspectives, (2) stuck in single-minded approaches, (3) need innovative solutions, (4) making major decisions with multiple stakeholders, (5) understanding complex human behavior, or (6) seeking to break cognitive biases and adopt alternative viewpoints.
hexbee/hello-skills
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deep-productivity
Master deep work productivity through the three types of work framework (Building, Maintenance, Recovery). Use when user needs to: (1) Build a sustainable deep work routine with just 1 hour/day, (2) Create vision/anti-vision for life direction, (3) Structure goals using the 10-year → 1-year → 1-month → 1-week hierarchy, (4) Apply project-based learning to bridge skill gaps, (5) Identify lever-moving tasks that actually progress goals, (6) Balance focus work with necessary recovery for creativity.
hexbee/hello-skills
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debog-yourself
Help users identify and escape psychological traps that are holding them back. Use when user feels stuck, unable to progress, facing a deadlock, or experiencing decision paralysis. Provide diagnostic frameworks and specific strategies to help users understand which trap pattern they're in and find a path forward.
hexbee/hello-skills
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url-to-markdown
Convert a public webpage URL into Markdown and save it as a reusable `.md` file with the bundled script. Prefer `https://r.jina.ai/<url>` first, and only fallback to `https://markdown.new/` if `r.jina.ai` is unavailable. Use this whenever the user wants to turn a public webpage, article, documentation page, blog post, release note, or reference URL into Markdown for reading, archiving, summarizing, extraction, RAG prep, or downstream agent reuse, even if they do not explicitly mention markdown or saving a file.
hexbee/hello-skills
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ears-requirements
Write and rewrite textual system requirements using EARS (Easy Approach to Requirements Syntax). Use when converting ambiguous natural-language requirements into structured statements, classifying requirements into EARS patterns, or reviewing requirement quality for missing triggers, states, and measurable responses.
hexbee/hello-skills
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claim-ledger
将研究与写作中的主张转成“Claim-Evidence-Boundary”可核验账本。用于在产出前强制补齐证据、反证、边界与可发布性判断，防止无依据断言并提升复用性。
hexbee/hello-skills
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mungers-lattice
Multidisciplinary analytical engine using Charlie Munger's latticework of mental models. Applies cross-disciplinary thinking (math, physics, biology, psychology, economics) to dissect life and business decisions. Use when user presents a decision problem, investment question, or complex analysis request requiring deep rational analysis.
hexbee/hello-skills
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agent-teams-guide
Guide for orchestrating and controlling Claude Code agent teams. Use when working with or managing multi-agent team coordination in Claude Code, including: (1) Creating and starting agent teams, (2) Controlling teammates (display modes, task assignment, delegation), (3) Best practices for parallel work, (4) Troubleshooting team issues. Covers concepts like team lead, teammates, shared task lists, and inter-agent messaging.
hexbee/hello-skills