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Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
45.604 skill-uri din 2.205 depozite · actualizat acum 21 de ore
45.604 skill-uri
- hunt-jwt-cryptoelementalsouls/Claude-BugHunterHunt JWT cryptographic failures — alg:none signature-stripping and RS256→HS256 key-confusion that let an attacker forge a token for any identity (e.g. an admin) without knowing a secret. Use when the app authenticates with a JSON Web Token (an `eyJ...` Bearer token in the Authorization header, a cookie, or a login response). This skill OWNS JWT signature/crypto forgery (alg:none, key confusion, kid/jku header injection); hunt-ato covers JWT as one ATO path, hunt-auth-bypass covers SSO/SAML token trust, hunt-api-misconfig covers non-crypto JWT handling. Critical when a forged token grants access to another user's data or an admin-only endpoint.FinanțeFără avertismente★ 5,3 K↓ —
- hunt-rag-vectorelementalsouls/Claude-BugHunterHunt vector-store / embedding-layer weaknesses in RAG pipelines (OWASP LLM08 Vector and Embedding Weaknesses) — persistent corpus poisoning that survives across sessions and users (distinct from one-shot indirect prompt injection, which is owned by hunt-llm-ai), cross-tenant vector-database IDOR (unauthenticated or unscoped queries against Pinecone/Weaviate/Chroma/Milvus/Qdrant/pgvector), source-text/metadata leakage in similarity-search results, and retrieval-hijack via adversarial embedding proximity ('SEO poisoning' for RAG). Targets: any app with a shared knowledge base, document upload feeding a chatbot, or a directly reachable vector-DB port. Validate: a second, clean session/account must inherit a poisoned result, or a cross-tenant artifact must be independently verifiable — confabulation is not a finding, same bar as hunt-llm-ai. Use when target is RAG-backed, exposes a vector-DB port, or lets users upload documents that other users' queries later retrieve.SecuritateFără avertismente★ 5,3 K↓ —
- designlang-tokensManavarya09/design-extractUse when styling UI for replit.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.DesignFără avertismente★ 4,4 K↓ —
- dart-setup-ffi-assetsflutter/agent-pluginsGuides agents in compiling and packaging C/C++ source code into dynamic or static libraries (Code Assets) using Dart's Native Assets hook system (via hook/build.dart and hook/link.dart utilizing package:hooks and package:native_toolchain_c). Use when a user asks to: 'setup native assets', 'compile C/C++ source code', 'bundle dynamic libraries', 'build native C code', 'link native assets', 'implement build.dart or link.dart hooks', or 'integrate C/C++ interop in Dart/Flutter'. Helps agents avoid manual toolchain orchestration and configures secure hash-validated binary downloads or advanced linker tree-shaking with package:record_use mapping.OficialInginerieFără avertismente★ 3,1 K↓ —
- academic-paper-reviewerzebbern/claude-code-guideSimulates academic peer review, evaluating papers across Originality, Methodology, Results, and Writing to provide Major/Minor Revision recommendations with actionable feedback. Triggers when a user asks to "review my paper," "simulate peer review," or "give my paper a peer review.ȘtiințăFără avertismente★ 4,7 K↓ —
- humanize-chinesebrycewang-stanford/Auto-Empirical-Research-SkillsDetect and humanize AI-generated Chinese text. 20+ rule detection categories plus statistical features (sentence-length CV, short-sentence fraction, comma density, perplexity, GLTR, DivEye) plus scene-aware LR fusion (rule × 0.2 + LR × 0.8) trained on three scenes: general / academic / longform 长文本 (≥1500 字)。Unified CLI: ./humanize {detect,rewrite,academic,style,compare}. 8 style transforms (casual/zhihu/xiaohongshu/wechat/academic/literary/weibo/novel)。 Multi-paragraph rewriting (paragraph length CV、跨段 trigram 重复) plus best-of-N humanize (默认 N=10 取最低 LR)。165 replacement patterns + CiLin 同义词词林 38873 with collision blacklist。 Academic paper AIGC reduction for CNKI/VIP/Wanfang (知网/维普/万方 AIGC 检测降重)。 Pure Python, no dependencies, offline。v5.0.0 — HC3 fused 准确率 95%、学术 hero 100→35 (-65)、 工作汇报 96→13 (-83)、长篇博客 96→41 (-55)。 Use when user says: "去AI味", "降AIGC", "人性化文本", "humanize chinese", "AI检测", "AIGC降重", "去除AI痕迹", "文本改写", "论文降重", "知网检测", "维普检测", "AI写作检测", "让文字更自然", "detect AI text", "humanize text", "reduce AIGC scRedactareFără avertismente★ 4,8 K↓ —
- linkedin-comment-draftersergebulaev/linkedin-skillsDraft a LinkedIn comment on someone else's post from its URL, or reshare (repost) it to your feed with optional commentary. Use when the user pastes a post URL and asks to comment, engage, be first commenter, or repost with their thoughts. Produces 1-3 variants in the user's voice, picks a reaction, and publishes via Publora on approval. Not for replying to existing comments (use linkedin-reply-handler).MarketingFără avertismente★ 5,2 K↓ —Apare și în 1 alt depozit
- excel-conditional-comparison-and-large-file-processingOpenSenseNova/SenseNova-Skills对比Excel多表中的特定系数并对异常值进行颜色标记。DocumenteFără avertismente★ 5,9 K↓ —
- linkedin-thread-monitorsergebulaev/linkedin-skillsTrack which of your LinkedIn comments earned author replies. Flags the 6-24h warm-reply window where thread momentum peaks, classifies threads as hot/warm/cool/dormant, and routes warm ones to linkedin-reply-handler for follow-up drafts. Powered by Apify, no LinkedIn login. Triggers on "what threads need follow-up", "author replied", "monitor my comments". Not for analyzing likers on a post (use linkedin-engager-analytics).MarketingFără avertismente★ 5,2 K↓ —Apare și în 1 alt depozit
- linkedin-content-plannersergebulaev/linkedin-skillsGenerate a 7-day LinkedIn content plan from a theme, audience, and pillars. Produces per-day post pillar, format, hook type, CTA, posting time, daily comment targets, and a weekly inbound-readiness check. Use when the user wants to plan a week or month of content, not draft a single post (use linkedin-post-writer).MarketingFără avertismente★ 5,2 K↓ —Apare și în 1 alt depozit
- pulumi-automation-apipulumi/agent-skillsLoad this skill when a user asks how to run Pulumi programmatically, embed Pulumi in an application, orchestrate multiple stacks in code, build a self-service infrastructure portal, replace pulumi CLI shell scripts with code, or use the Pulumi Automation API (LocalWorkspace, createOrSelectStack, inline programs). Also load for questions about multi-stack sequencing, parallel deployments, or passing outputs between stacks via code.OficialInginerieFără avertismente★ 78↓ —
- cloudformation-to-pulumipulumi/agent-skillsConvert, migrate, or import AWS CloudFormation stacks or templates into Pulumi programs. Load this skill whenever a user wants to move from CloudFormation to Pulumi, convert a CFN template, import existing CloudFormation-managed resources into Pulumi, or asks about CloudFormation-to-Pulumi migration in any form. Also load when the user mentions cdk-importer in a migration context.OficialDevOpsFără avertismente★ 78↓ —
- skill-strategy-advisorZJU-REAL/Easel基于现有内容数据和画像迭代优化内容策略。分析过去一段时间的内容表现、画像信息、 行业趋势，给出下一阶段的内容方向调整、新赛道建议、内容形式优化、发布节奏调整、 画像微调等策略建议。当用户说"下一步怎么做"、"策略建议"、"怎么调整"、"内容方向"、 "下个月策略"、"优化建议"、"迭代方向"时触发。 和 skill-content-strategy 的区别：content-strategy 从零制定策略， strategy-advisor 基于现有数据做迭代优化。AlteleFără avertismente★ 4,1 K↓ —
- skill-content-strategyZJU-REAL/Easel制定全面的内容策略方案：内容支柱架构、受众路径规划、90 天节奏原则、分发渠道策略、KPI 体系，输出可执行的策略文档。 当用户说"内容策略""策略方案""内容规划""怎么做内容""内容支柱""增长策略""涨粉策略"时使用。 元策略层，只出框架不出具体排期表（排期用 skill-content-calendar）。ProductivitateFără avertismente★ 4,1 K↓ —
- skill-content-calendarZJU-REAL/Easel生成月度社媒内容排期表：逐条选题+角度+视觉方向，覆盖小红书/抖音/B站/微博。 当用户说"内容排期""月度日历""发布计划""内容日历""排期表""这个月发什么""内容节奏表"时使用。 消费 skill-content-strategy 定义的支柱与 shared 频率基线，只出具体排期不重复定义支柱理论。ProductivitateFără avertismente★ 4,1 K↓ —
- skill-brand-onboardingZJU-REAL/Easel创作者/品牌入驻：通过结构化访谈收集视觉风格、内容调性、受众画像和运营目标，生成完整的账号画像档案。 当用户说"账号入驻""建档案""新账号建立画像""品牌入驻""从零建号""完善账号信息""onboarding"时使用。 产出覆盖多维度的完整账号档案；只建声音画像用 skill-voice-builder，只建受众画像用 skill-audience-profiler。AlteleFără avertismente★ 4,1 K↓ —
- skill-zhihu-publisherZJU-REAL/Easel知乎发布：把文章发布到知乎专栏（也可用于回答草稿）。当用户说"发知乎""知乎发布" "发布知乎文章""知乎专栏""投知乎"时使用。基于通用浏览器发布框架（Playwright + 登录态持久化）。TestareFără avertismente★ 4,1 K↓ —
- skill-trending-topicsZJU-REAL/Easel抓取微博、抖音、知乎、头条、B站实时热搜，筛选与创作者赛道相关的热点，输出二创选题建议。 当用户说"今天有什么热搜""热点""最近大家在聊什么""追热点""蹭热点""二创选题""热搜榜"时使用。 和 skill-news-intelligence 的区别：本 SKILL 抓分钟级实时热搜榜做快速二创选题； news-intelligence 做日级深度行业资讯聚合，不抓热搜榜。AlteleFără avertismente★ 4,1 K↓ —
- pulumi-componentpulumi/agent-skillsGuide for authoring Pulumi ComponentResource classes. Use when creating reusable infrastructure components, designing component interfaces, setting up multi-language support, or distributing component packages.OficialDevOpsFără avertismente★ 78↓ —
- json-canvasdavepoon/buildwithclaudeCreate and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.RedactareFără avertismente★ 3,7 K↓ —Apare și în 1 alt depozit
- subagent-driven-developmentforyourhealth111-pixel/Vibe-SkillsUse when executing implementation plans with independent tasks in the current sessionPlanificareFără avertismente★ 3,8 K↓ —
- launch-tier-planneraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "plan my launch tier", "how big should this launch be", or "build a launch risk register with kill criteria"; produces a tier decision (Tier 1 flagship all-channel / Tier 2 targeted / Tier 3 changelog-level), a launch-type declaration (new-product / feature / relaunch / partnership with co-marketing split), an effort calibration matrix (tier to channel intensity and asset scope), D0/W1/M1 KPI targets (labeled Estimated), a risk register (likelihood x blast-radius, owners, mitigations, kill criteria / rollback thresholds), and a T-8w to T+4w timeline skeleton. Not for picking the launch date or window — use launch-window-planner; not for creator-channel launch campaigns — use campaign-planner. 发布分级/发布类型/风险登记册/kill criteriaPlanificareFără avertismente★ 3 K↓ —
- x-twitter-scraperdavepoon/buildwithclaudeX (Twitter) data extraction and monitoring via Xquik: tweet search, user lookup, follower extraction, giveaway draws, trending topics, account monitoring with webhooks, reply/retweet/quote extraction, community and Space data, follow checks. 22 MCP tools + REST API.BrowserFără avertismente★ 3,7 K↓ —
- corevercel-labs/agent-browserCore agent-browser usage guide. Read this before running any agent-browser commands. Covers the snapshot-and-ref workflow, navigating pages, interacting with elements (click, fill, type, select), extracting text and data, taking screenshots, managing tabs, handling forms and auth, waiting for content, running multiple browser sessions in parallel, and troubleshooting common failures. Use when the user asks to interact with a website, fill a form, click something, extract data, take a screenshot, log into a site, test a web app, or automate any browser task.OficialTestareFără avertismente★ 44,6 K↓ —
data-context-extractor
anthropics/knowledge-work-plugins
OficialProductivitateActualizat alaltăieri
De la autor
Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. BOOTSTRAP MODE - Triggers: "Create a data context skill", "Set up data analysis for our warehouse", "Help me create a skill for our database", "Generate a data skill for [company]" → Discovers schemas, asks key questions, generates initial skill with reference files ITERATION MODE - Triggers: "Add context about [domain]", "The skill needs more info about [topic]", "Update the data skill with [metrics/tables/terminology]", "Improve the [domain] reference" → Loads existing skill, asks targeted questions, appends/updates reference files Use when data analysts want Claude to understand their company's specific data warehouse, terminology, metrics definitions, and common query patterns.
Instalare
npx skills add anthropics/knowledge-work-plugins --skill data-context-extractor -a claude-code
Se instalează în .claude/skills/data-context-extractor/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Rulează scripturile incluseNu am văzut acces la rețeaLicență: APACHE-2.0
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 90
Securitate85
Proveniență100
Întreținere100
Licență100
Adopție70
Fișiere (6)
- SKILL.md
- references/domain-template.md
- references/example-output.md
- references/skill-template.md
- references/sql-dialects.md
- scripts/package_data_skill.py