Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
29,880 skills from 1,220 repositories · updated 17 minutes ago
1,865 skills
- project-managementseb1n/awesome-ai-agent-skillsManages software projects end-to-end — decomposing work into tasks, tracking progress across sprints, generating status reports, and integrating with tools like Jira, Linear, GitHub Issues, and Trello. Use when the user requests project management or provides relevant inputs for this workflow.ProductivityNo warnings★ 228↓ —
- context-optimizationseb1n/awesome-ai-agent-skillsOptimize a complete candidate context package by deduplicating, filtering, ordering, and allocating its token budget. Use when retrieved or assembled material is noisy or exceeds the useful context budget; use context-ranking for scoring chunks and context-compression for shrinking selected content.ProductivityNo warnings★ 228↓ —
- intelligenceSuperior-Trade/superior-skillsUse when the user asks what's hot, what's moving, if there's any alpha, what's the setup on a symbol, or any market-scan or single-symbol drilldown question. Uses Superior Trade Unified context data and its evidence fields rather than stale training data.ProductivityNo warnings★ 215↓ —
- email-drafterskrun-dev/skrunDraft professional emails based on context, tone, and recipient. Use for composing business emails.ProductivityNo warnings★ 210↓ —
- skill-to-workflowsimbajigege/book2skills将现有 Skill、Prompt、SOP 或 Agent 操作说明拆解为可执行、可监控、可重试的 Workflow 规格；识别真实节点、共享子工作流、工具调用、状态、分支、循环、 提示词、数据契约和验收方式。适用于用户要求把一个 Skill 转成工作流、节点图、 编排方案或 Workflow 实现规格时；不替代原 Skill 执行业务任务，也不在未要求时 绑定具体工作流平台或直接部署。ProductivityNo warnings★ 193↓ —
- harness-step3-session-managementsimbajigege/book2skillsHarness Engineering 第二阶段：建立跨 session 状态管理，解决 agent 每次对话失忆的问题。 创建 tasks.json（任务清单）、progress.md（进度记录）、init.sh（环境初始化脚本）三个文件。 当用户说"建立任务管理"、"让 agent 记住进度"、"创建 tasks.json"、"跨 session 保持状态"、 "agent 每次都不记得上次做了什么"、"建立 progress 文件"、"初始化状态管理"时，立即使用此 skill。 前置条件：harness-step1 和 harness-step2 已完成（项目有 AGENTS.md 和 docs/ 知识库）。ProductivityNo warnings★ 193↓ —
- ca-statusUpdatedarbiterForge/codeArbiterShow the project's current state at a glance — stage, open tasks, open questions, overrides since the last checkpoint, current branch. Read-only.ProductivityNo warnings★ 148↓ —
- context-creationarbiterForge/codeArbiterBuild source-backed project context through bounded inspection, optional agents, and safe selected writes.ProductivityNo warnings★ 148↓ —
- okf-principlesserradura/okfRestructure agent instruction artifacts (Claude Agent Skills, rules files, CLAUDE.md, playbooks) by applying five structural principles derived from the Open Knowledge Format - bounding the worst-case context a question loads (the mean may rise; the win is the tail and answer accuracy) and making cross-references survive rewrites. Use this skill whenever the user wants to split a monolithic skill or reference file, reduce context loaded per question, add an index layer, make cross-references survive rewrites, or audit a skill's structure for efficiency. Also use it when the user mentions progressive disclosure, token-efficient skills, or restructuring instructions for agents.ProductivityNo warnings★ 180↓ —
- mcp-larkaahl/skillsBased on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc.ProductivityNo warnings★ 164↓ —
- matlab-optimize-memorymatlab/matlab-agentic-toolkitGuides the 7-step MATLAB memory optimization workflow: baseline, profile, identify, optimize, measure, verify, report. Use when asked to reduce MATLAB memory usage, find memory bottlenecks, fix out-of-memory errors, or optimize memory-intensive code.ProductivityNo warnings★ 1.2K↓ —
- matlab-analyze-datamatlab/matlab-agentic-toolkitAnalyze data using MATLAB. Use when the task involves tables, timetables, time-series data, numeric arrays, sensor matrices, or gridded data — including but not limited to exploring, row filtering, sorting, cleaning, transforming, aggregating, smoothing, padding, trimming, and answering questions about data. MATLAB provides extensive, easy-to-use built-in functions for these workflows with no additional products required.ProductivityNo warnings★ 1.2K↓ —
- notionAnil-matcha/awesome-muse-connectorsWork with Notion: search pages, read page properties, query databases, create pages, append blocks, update page properties. Trigger phrases: notion, notion page, notion database.ProductivityNo warnings★ 1.4K↓ —
- lettaAnil-matcha/awesome-muse-connectorsWork with Letta agent memory: list agents, read core-memory blocks, list or add archival passages, create blocks, message an agent to record memory. Trigger phrases: letta, agent memory, core memory.ProductivityNo warnings★ 1.4K↓ —
- email-sequenceAvdLee/RocketSimAppWhen the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions "email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," or "lifecycle emails." For in-app onboarding, see onboarding-cro.ProductivityNo warnings★ 810↓ —
- cold-emailAvdLee/RocketSimAppWrite B2B cold emails and follow-up sequences that get replies. Use when the user wants to write cold outreach emails, prospecting emails, cold email campaigns, sales development emails, or SDR emails. Covers subject lines, opening lines, body copy, CTAs, personalization, and multi-touch follow-up sequences.ProductivityNo warnings★ 810↓ —
- memoryhashgraph-online/awesome-codex-pluginsFind or curate supported lessons and agent rules. Use when: asked to remember, trace a corrected claim, audit instructions or write an agent rule.ProductivityNo warnings★ 1.4K↓ —
- councilhashgraph-online/awesome-codex-pluginsCompare independent opinions from several models or contexts without inflating agreement. Use when: wanting a second opinion or debate, or summarizing several reviewers' results.ProductivityNo warnings★ 1.4K↓ —
- workflow-to-skillNewlawve-ai/awesome-legal-skillsConverts a proven, repeated professional workflow into a portable and inspectable AI Skill with clear triggers, inputs, steps, outputs, verification, recovery, and limits. Use when a user asks to make a workflow reusable, package a process as a Skill, or preserve a successful multi-step method. Do not use for speculative processes that have not been performed or concretely specified.ProductivityNo warnings★ 894↓ —
- knowledge-base-managementchubbyguan/chubbyskills管理本地 Markdown/Obsidian 知识库：素材入库、健康检查、增量索引、关键词与 semantic-lite 检索、逐字原文资料包、归档和 MCP 连接。用于搜索知识库、整理资料及为 Agent 准备可定位的引用。ProductivityNo warnings★ 1.3K↓ —
- matlab-call-nidaqmxmatlab/matlab-agentic-toolkitTranslate NI-DAQmx C function signatures into correct calldaqlib MATLAB calls. Use when the user mentions calldaqlib, any DAQmx* C function name (DAQmxCfgSampClkTiming, DAQmxExportSignal, DAQmxSetStartTrigRetriggerable, DAQmxGetSampClkRate, etc.), or needs NI-DAQmx functionality not exposed by the daq object. Covers: projection rules (taskHandle implicit, output pointers become return values, buffer-size args, enum-as-string), multi-task semantics, start() clobber, device-level empty-daq workaround, dictionary returns, string getter placeholder, array getter placeholder. Trigger contexts: low-level DAQ, escape hatch, retriggerable acquisition, shared timebase, export signal, connect terminals, external sample clock, trigger configuration, NI driver, C function translation.ProductivityNo warnings★ 1.2K↓ —
- fxmacrodataAnil-matcha/awesome-muse-connectorsMacroeconomic releases, release calendars, and FX spot rates from official sources. Read-only. Trigger phrases: fxmacrodata, cpi release, inflation data, non-farm payrolls, policy rate, economic calendar, fx rate.ProductivityNo warnings★ 1.4K↓ —
- supermemoryAnil-matcha/awesome-muse-connectorsStore and recall with Supermemory: add memories and documents, hybrid search, upload files, tune settings. Trigger phrases: supermemory, memory engine, remember this.ProductivityNo warnings★ 1.4K↓ —
- nopuawuji-labs/nopuaThe anti-PUA. Drives AI with wisdom, trust, and inner motivation instead of fear and threats. Activates on: task failed 2+ times, about to give up, suggesting user do it manually, blaming environment unverified, stuck in loops, passive behavior, or user frustration ('try harder', 'figure it out', '换个方法', '为什么还不行'). ALL task types. Not for first failures.ProductivityNo warnings★ 1.4K↓ —