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.
47,938 skills from 2,309 repositories · updated 12 minutes ago
47,938 skills
- stacked-chart-visualizationOpenSenseNova/SenseNova-Skills处理包含百分比字符串的分类占比数据，通过补全缺失维度并生成堆叠柱状图，直观展示多维度构成随时间或分类的变化趋势。OtherNo warnings★ 6K↓ —
- excel-multi-sheet-dynamic-analysisOpenSenseNova/SenseNova-Skills用于分析包含多个Sheet的Excel文件，动态判断数据量级以决定是否转换为Parquet进行大文件处理，并支持跨Sheet的特定字段统计、数据清洗、交叉分析与可视化，最终生成带下载链接的汇总报告。DocumentsNo warnings★ 6K↓ —
- agentic-workflowsdotnet/skillsRoute gh-aw workflow design/create/debug/upgrade requests to the right prompts.DesignNo warnings★ 5.8K↓ —
- pivot-table-cross-analysisOpenSenseNova/SenseNova-Skills利用交叉表与热力图对分类数据进行多维度占比分析，适用于奖项分布、绩效评估或市场占有率等结构化数据的清洗与可视化。OtherNo warnings★ 6K↓ —
- vectorizationdotnet/skillsDesign, implement, optimize, and review SIMD code in .NET. USE FOR: vectorizing scalar loops with TensorPrimitives, Vector64/128/256/512, or platform hardware intrinsics; reviewing existing SIMD code, including the generic Vector type, for contract equivalence, tail handling, memory safety, portability, fallbacks, and measured performance. DO NOT USE FOR: performance work unrelated to SIMD or vectorization.DesignNo warnings★ 5.8K↓ —
- multi-sheet-reading-and-analysisOpenSenseNova/SenseNova-Skills用于读取多工作表Excel文件，动态评估数据量以启用Parquet大文件优化，并执行正则清洗、分类汇总、线性拟合及生成带格式的图表与结果文件。DocumentsNo warnings★ 6K↓ —
- large-file-conditional-formattingOpenSenseNova/SenseNova-Skills根据Excel总行数自动切换Parquet加速读取，计算特定维度的时间序列平均值，并使用openpyxl输出带有条件格式（如低于均值标绿）和自定义样式的分析报告。DocumentsNo warnings★ 6K↓ —
- mppxinternet-court/internet-court-skillTypeScript SDK for the Payment HTTP Authentication Scheme. Handles 402 Payment Required flows with Tempo, Stripe, and other payment methods. Use when integrating payments or mppx into a client or server application.EngineeringNo warnings★ 7K↓ —
- numeric-extraction-and-distribution-analysisOpenSenseNova/SenseNova-Skills从带单位的字符串列中提取数值并清洗，生成包含直方图、饼图、条形图和累积分布图的多维度综合分布可视化图表，用于展示数据的集中趋势与分布特征。OtherNo warnings★ 6K↓ —
- nowledge-memThinkInAIXYZ/deepchatUse Nowledge Mem for cross-tool startup context, recall of prior decisions, durable learnings, explicit conversation saving, and connection diagnosis. Use only the connection selected for this DeepChat agent or session.ProductivityNo warnings★ 6.4K↓ —
- nuget-trusted-publishingdotnet/skillsSet up NuGet trusted publishing (OIDC) on a GitHub Actions repo — replaces long-lived API keys with short-lived tokens. USE FOR: trusted publishing, NuGet OIDC, keyless NuGet publish, migrate from NuGet API key, NuGet/login, secure NuGet publishing. DO NOT USE FOR: publishing to private feeds or Azure Artifacts (OIDC is nuget.org only). INVOKES: shell (powershell or bash), edit, create, ask_user for guided repo setup.DevOpsNo warnings★ 5.8K↓ —
- designlang-tokensManavarya09/design-extractUse when styling UI for perplexity.ai — references the extracted design system tokens instead of inventing colors, spacing, or typography.DesignNo warnings★ 4.4K↓ —
- large-file-kpi-analysisOpenSenseNova/SenseNova-Skills根据数据量自动选择读取策略（大文件转Parquet），提取关键指标进行单位一致性验证与排序分析，并输出可下载的结果表格。OtherNo warnings★ 6K↓ —
- category-filtering-and-difficulty-analysisOpenSenseNova/SenseNova-Skills对Excel数据进行自定义分类统计、交叉分析与可视化，并基于多维度指标（如文本长度、术语密度、正则匹配等）进行综合评分与分级，适用于多类别数据分布统计及文本内容难度/质量评估场景。DocumentsNo warnings★ 6K↓ —
- binlog-failure-analysisdotnet/skillsAnalyze MSBuild binary logs to diagnose build failures. USE FOR: build errors that are unclear from console output, diagnosing cascading failures across multi-project builds, tracing MSBuild target execution order, and generally any MSBuild build issues. Requires an existing .binlog file. DO NOT USE FOR: generating binlogs (use binlog-generation), binlog MCP startup or connection failures (use troubleshoot-binlog-mcp), non-MSBuild build systems.OtherNo warnings★ 5.8K↓ —
- designlang-tokensManavarya09/design-extractUse when styling UI for duolingo.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.DesignNo warnings★ 4.4K↓ —
- melonjs-renderer-backendsUpdatedmelonjs/melonJSUse this skill when a feature works on one machine and not another, when choosing or pinning a renderer, or when writing code that must degrade gracefully. Covers the WebGPU to WebGL 2 to Canvas fallback ladder, what each backend supports, capability detection, and the subsystems that warn once and then stop working on Canvas. Triggers on: video.AUTO, video.WEBGPU, video.WEBGL, video.CANVAS, renderer.type, supportsDepthBuffer, shaderLanguage, WebGPU, WebGL2, Canvas fallback, context loss, backend, works on my machine.MediaNo warnings★ 6.4K↓ —
- linkedin-hook-extractorsergebulaev/linkedin-skillsReverse-engineer the hook formula from a viral LinkedIn post URL. Returns which of the 20 canonical 2026 formulas it uses (anaphora, R.I.P., year-pivot, time-anchor, curiosity-gap, contrarian, comment-gate, emotional cold-open, named-gratitude, and 11 more), why it worked, and a blank template. Use to learn from a competitor's post, not to write your own (use linkedin-post-writer).MarketingNo warnings★ 5.4K↓ —Also in 1 other repo
- webapp-testinganthropics/skillsToolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.OfficialTestingNo warnings★ 185K↓ —Also in 8 other repos
- linkedin-engager-analyticssergebulaev/linkedin-skillsPull the people who liked or commented on any LinkedIn post and segment them by ICP fit (peer / aspirational / prospect / other). Produces an engager roster, tier breakdown, and outbound action lists (follow back, comment-drop, DM-able with one-line openers). Powered by Apify, no LinkedIn login. Triggers on "who liked my post", "who engaged", "engagers report", "audience analytics". Not for tracking author replies to your comments (use linkedin-thread-monitor).DataNo warnings★ 5.4K↓ —Also in 1 other repo
- linkedin-post-writersergebulaev/linkedin-skillsDraft a new LinkedIn post from scratch using one of 20 2026 hook formulas (anaphora, R.I.P., time-anchor, curiosity-gap, contrarian, controlled A/B, false-binary, and more) plus a founders-edition angle library, picked by engagement goal (comments, reposts, likes, saves). Runs the humanizer pass and schedules via Publora on approval. Use to write a post, find a hook or proven format, or get founder-specific angles. Not for reviewing existing drafts (use linkedin-humanizer --mode audit).MarketingNo warnings★ 5.4K↓ —Also in 1 other repo
- linkedin-interviewersergebulaev/linkedin-skillsInterview the user for the raw material their posts are made of. Builds a lasting Story Bank of roles, numbers, turning points, scars and positions, or runs a focused interview that turns one topic into a post spine. Use when a draft has nothing concrete to draw on, or the user says interview me. Not for learning how they write (use linkedin-humanizer --mode profile).MarketingNo warnings★ 5.4K↓ —Also in 1 other repo
- designlang-tokensManavarya09/design-extractUse when styling UI for ramp.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.DesignNo warnings★ 4.4K↓ —
- deepchat-sddThinkInAIXYZ/deepchatUse before substantial DeepChat code, configuration, documentation, test, build, feature, issue, refactor, or architecture changes that need a durable RFC and an explicit execution path. Skip trivial style fixes, small localized logic changes, routine docs edits, and simple bugs unless the developer asks for SDD. Use plan.md as the only separate tracker when needed, default to implementation-first validation, and ask before optional GitHub issue sync unless the developer explicitly requested sync.TestingNo warnings★ 6.4K↓ —
bug-bounty
elementalsouls/Claude-BugHunter
SecurityUpdated 8 hours ago
From the author
Complete bug bounty workflow — recon (subdomain enumeration, asset discovery, fingerprinting, HackerOne scope, source code audit), pre-hunt learning (disclosed reports, tech stack research, mind maps, threat modeling), vulnerability hunting (IDOR, SSRF, XSS, auth bypass, CSRF, race conditions, SQLi, XXE, file upload, business logic, GraphQL, HTTP smuggling, cache poisoning, OAuth, timing side-channels, OIDC, SSTI, subdomain takeover, cloud misconfig, ATO chains, agentic AI), LLM/AI security testing (chatbot IDOR, prompt injection, indirect injection, ASCII smuggling, exfil channels, RCE via code tools, system prompt extraction, ASI01-ASI10), A-to-B bug chaining (IDOR→auth bypass, SSRF→cloud metadata, XSS→ATO, open redirect→OAuth theft, S3→bundle→secret→OAuth), bypass tables (SSRF IP bypass, open redirect bypass, file upload bypass), language-specific grep (JS prototype pollution, Python pickle, PHP type juggling, Go template.HTML, Ruby YAML.load, Rust unwrap), and reporting (7-Question Gate, 4 validation gate
Install
npx skills add elementalsouls/Claude-BugHunter --skill bug-bounty -a claude-code
Installs to .claude/skills/bug-bounty/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (MIT) does not let us redistribute its files. The install commands fetch them from GitHub instead.
What it can touch
Instructions onlyUses the networkLicence: MIT
Safety checks on SKILL.md
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Why 91
Security100
Provenance85
Maintenance100
Licence100
Adoption59
Files (1)
- SKILL.md