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.
48,622 skills from 2,355 repositories · updated 24 minutes ago
48,620 skills
- report-generatorforyourhealth111-pixel/Vibe-Skills高级报告生成专家，支持多格式输出、数据可视化和交互式报告生成。OtherNo warnings★ 3.8K↓ —
- openclaw-history-ingestAr9av/obsidian-wikiIngest OpenClaw session/history data into Obsidian as distilled knowledge. Use for importing or mining ~/.openclaw sessions, memory files, or logs; use wiki-agent for targeted topic-only cross-agent recall.ProductivityNo warnings★ 3.6K↓ —
- cohere-hello-worldjeremylongshore/tons-of-skills-marketplaceRun bounded Cohere v2 Chat, Embed, or Rerank requests with current model discovery and explicit validation. Use when proving a new Cohere setup. Trigger with "Cohere hello world", "Cohere quickstart", or "test Cohere API".TestingNo warnings★ 2.9K↓ —
- auto-subtitleZJU-REAL/Easel自动字幕 / 语音转字幕：把音频或视频里的语音识别成字幕文件（SRT/ASS/TXT/JSON），可选把字幕烧录进视频。当用户说自动字幕、语音转字幕、视频加字幕、上字幕、转录、听写、字幕文件、生成字幕、烧字幕时使用。OtherNo warnings★ 4.3K↓ —
- code-improvertrailofbits/skillsRuns an autonomous review-and-fix improvement loop over any code target — a skill, plugin, module, or directory — using a reviewer the user names: any installed skill or agent. Keeps a cross-round findings ledger, escalates when fixes stop converging, and guards scope mechanically. Use when asked to 'improve this code until review passes', 'run an improvement loop with <reviewer>', or to iterate review-and-fix with a specific reviewer. For skills prefer the skill-improver entry; for a branch prefer pr-improver.EngineeringNo warnings★ 7.9K↓ —
- obsidian-basesdavepoon/buildwithclaudeCreate and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.ProductivityNo warnings★ 3.7K↓ —
- batch-processZJU-REAL/Easel批量处理：对一个目录里的一批图片/视频/音频统一套用同一操作——批量压缩、加水印、转格式、缩放、转比例、音量归一化等。当用户说 批量处理、批量压缩、批量加水印、批量转格式、一批图片/视频、给这个文件夹、全部转成、批量缩放、批量转竖版、整个目录 时使用。基于 shared/scripts/batch_process.py（委派 image_ops/video_ops/audio_ops）。与 image-editing/video-editing/audio-editing 区别：那些处理单文件，本 SKILL 批量套用到整个目录。MediaNo warnings★ 4.3K↓ —
- jetson-link-docsNVIDIA/skillsBind pre-downloaded Jetson reference docs (developer guide, design guide, pinmux, schematics) into the active profile documents block. Use after staging docs on disk; not for downloading.DesignNo warnings★ 3.8K↓ —
- audience-belief-mapperaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "map what our buyers believe", "capture the objections we keep hearing", or "find the switching forces that move the beachhead"; produces a belief map of the beachhead — held beliefs and mental models, the recurring objections and their reframes, and the JTBD four forces (push of the problem, pull of the new, anxiety of switching, habit of the present) — each item sourced from interviews or win-loss notes (User-provided) and labeled Measured / User-provided / Estimated, with any unverified quote or comparative claim marked "[needs source]" and routed to the claims candidates, never adjudicated here. Not for demographic or persona profiling — use audience-mapper; not for the positioning canvas — use positioning-truth-tracer. 受众信念/异议地图/切换四力/流失语言PlanningNo warnings★ 3K↓ —
- doca-gpunetioNVIDIA/skillsUse this skill when the user is doing hands-on DOCA GPUNetIO programming — wiring a CUDA kernel on an NVIDIA GPU to a doca-eth queue via doca_gpu_eth_rxq / doca_gpu_eth_txq, standing up the per-CUDA-device doca_gpu context, designing the persistent CUDA kernel that drains the GPU-visible queue, running the dual capability check (DOCA cap-query plus cudaGetDeviceProperties), registering cudaMalloc pools via doca_buf_arr_create_*, or debugging DOCA_ERROR_* returns from the GPUNetIO API. Trigger even when the user does not explicitly mention "DOCA GPUNetIO" or "persistent kernel" — typical implicit phrasings include "CUDA kernel reading packets directly from the NIC", "GPU-initiated networking on BlueField", "DOCA_ERROR_DRIVER on doca_gpu_create", "nvidia_peermem not loaded", "kernel-per-packet is too slow", or "which GPU supports GPU-side packet I/O". Refuse and route elsewhere for general CUDA programming, DOCA Ethernet queue bring-up, DOCA DPA, or DOCA install — those belong to other skills.EngineeringNo warnings★ 3.8K↓ —
- scientific-writingforyourhealth111-pixel/Vibe-SkillsUse when writing or revising scientific manuscript prose: IMRAD sections, abstracts, figure/table captions, citation-integrated paragraphs, reporting-guideline language, terminology, clarity, and journal-submission text.ScienceNo warnings★ 3.8K↓ —
- canva-install-authjeremylongshore/tons-of-skills-marketplaceImplement Canva Connect OAuth 2.0 Authorization Code with SHA-256 PKCE on a backend. Use when creating an integration, adding explicit scopes, handling callback state, or rotating single-use refresh tokens. Trigger with: "set up Canva OAuth", "Canva PKCE", "refresh Canva token".EngineeringNo warnings★ 2.9K↓ —
- orca-replaydavepoon/buildwithclaudeAnswers questions about a past agent run from its recording rather than from memory, and replays or forks that run. Use when asked why an earlier run did something, or to reproduce a failure.ProductivityNo warnings★ 3.7K↓ —
- doca-verbsNVIDIA/skillsRaw verbs inside DOCA Core (doca-verbs): direct control of QP, CQ, PD, SRQ and address-handle objects through doca_verbs_context and doca_verbs_qp_create / doca_verbs_qp_modify / doca_verbs_cq_create, porting libibverbs code into DOCA Core, or a QP attribute, opcode or WR flag the doca-rdma task API does not expose. Trigger on "raw QP attribute the task API does not expose", "porting libibverbs code", "IO_FAILED on WR submit", "QP state transition rejected", or "attach a congestion-control group", even without naming doca-verbs. Refuse and route elsewhere for ordinary doca-rdma / doca-eth / doca-rmax workloads, DOCA install, Core internals, and general libibverbs theory.EngineeringNo warnings★ 3.8K↓ —
- gsd:updatedavepoon/buildwithclaudeUpdate GSD to latest version with changelog displayOtherNo warnings★ 3.7K↓ —
- ai-image-genZJU-REAL/Easel通用 AI 生图：文生图 / 图生图 / 图像变体。当用户说 AI 生图、AI 画图、文生图、图生图、生成图片、生成配图、图像生成、AI 出图、AI 作图、换图、改图、图像编辑、给我画一张、生成一张图 时使用。支持 OpenAI 兼容 API 与 apimart 异步 API，用户自备 API key。MediaNo warnings★ 4.3K↓ —
- whymichael-denyer/pstack-claudeUse for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior.DevOpsNo warnings★ 3.7K↓ —
- ai-video-genZJU-REAL/EaselAI 视频生成：文生视频 / 图生视频 / 数字人首帧驱动。通过可插拔 provider（通义万相 Wan / 火山 Seedance / 快手可灵 / OpenAI 兼容）异步生成视频，用户自备 API key。当用户说 AI 视频生成、文生视频、图生视频、AI 生成视频、AI 短视频、让图片动起来、数字人视频、生成一段视频 时使用。与 video-strategy（选型/策略）、video-editing（剪辑处理）、clipify（切片）区别：本 SKILL 是从 0 用 AI 生成新视频。MediaNo warnings★ 4.3K↓ —
- skill-content-calendar-logZJU-REAL/Easel统一内容日历底座。记录每次发布（发布页/对话页均自动落库）、用户排期、平台活动/节日/特殊日期到 一个时间线，并供 Agent 规划前读回。当用户说"内容日历""日历里有什么""接下来发什么""这周发了啥" "把这个活动记到日历""最近的发布节奏""哪个平台该更新了"时触发。是发布时间线的权威底座， 与 skill-publish-log（指标底座）互补：本底座管"何时发什么/该做什么"，publish-log 管"每条数据表现"。ProductivityNo warnings★ 4.3K↓ —
- video-scriptZJU-REAL/Easel生成视频脚本，覆盖短视频（7-60秒）到中长视频（1-30分钟）全时长。 短视频：Hook 变体评分、分秒计时、字幕文案、封面方案。 中长视频：留存率优化、节奏中断点、前向钩子、章节结构。 适用于抖音、视频号、小红书视频、B站、YouTube 等平台。 当用户说"视频脚本"、"短视频脚本"、"抖音脚本"、"B站脚本"、 "视频号脚本"、"竖版视频"、"Reel 脚本"、"写个视频文案"时使用。 和 video-strategy 的区别：video-strategy 做视频内容规划和系列策划， video-script 写具体某一条视频的脚本。MediaNo warnings★ 4.3K↓ —
- principle-subtract-before-you-addbacknotprop/pstackApply when sequencing an addition, refactor, or rewrite. Remove dead code, redundant validators, and stub references first, then build on the simpler base.EngineeringNo warnings★ 3.3K↓ —Also in 1 other repo
- instrument-data-to-allotropeanthropics/knowledge-work-pluginsConvert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.OfficialDataNo warnings★ 34.3K↓ —
- cdf-augmentationNVIDIA/skillsUse when authoring or validating Cosmos Data Factory (CDF) augmentation YAML configs, or running remote Cosmos Transfer (including Cosmos3 WSM controls), Cosmos Predict, image-edit, or image-to-video inference.MediaNo warnings★ 3.8K↓ —
- adobe-cost-tuningjeremylongshore/tons-of-skills-marketplaceReduce Adobe integration spend using contract, invoice, usage, queue, storage, and retry evidence instead of invented per-call prices. Use when the task requires adobe workload cost and waste review. Trigger with "reduce Adobe cost", "Adobe spend review", or "PDF transaction budget".DocumentsNo warnings★ 2.9K↓ —
yfinance-data
himself65/finance-skills
FinanceUpdated Oct 25, 2026
From the author
Fetch financial and market data with the yfinance Python library (Yahoo Finance). Use this skill whenever the user wants stock data: current quotes and price history, financial statements (income statement, balance sheet, cash flow), options chains, dividends and splits, earnings and analyst estimates, price targets and ratings, institutional and insider holdings, news, multi-ticker comparisons, stock screens, or sector and industry data. Use it even when the user gives only a ticker symbol (AAPL, MSFT, TSLA) and the intent has to be inferred. For earnings previews or recaps, estimate revisions, valuation, correlation, liquidity, or ETF premium analysis, prefer the dedicated skill.
Install
npx skills add himself65/finance-skills --skill yfinance-data -a claude-code
Installs to .claude/skills/yfinance-data/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance82
Maintenance100
Licence100
Adoption56
Files (3)
- README.md
- SKILL.md
- references/api_reference.md