Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
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.
7.508 skill-uri din 198 de depozite · actualizat acum 16 minute
460 de skill-uri
- inbox-placement-monitoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "track where my emails are actually landing after I send", "read my seed-list inbox vs spam vs promotions results", "trend my Gmail Postmaster / Microsoft SNDS reputation", or "did placement drop after my last send"; produces a per-provider inbox/spam/promotions placement read, a domain/IP reputation trend from Postmaster + SNDS, a send-over-send delta with named regressions, and a reusable SEND-S placement snapshot on your own exported telemetry. Not for the pre-send SPF/DKIM/DMARC auth pre-flight — use deliverability-qa; not for computing the EQS or running the vetoes — use email-quality-auditor. 邮件收件箱落点监测/收件箱vs垃圾邮件/Postmaster声誉趋势TestareFără avertismente★ 3 K↓ —
- message-house-builderaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "build a message house", "write a PR-FAQ for our launch", or "define the launch narrative and value pillars"; derives from the positioning canvas a message house — tagline, one-liner, three value pillars, per-persona proof points (each labeled Measured / User-provided / [needs source]) — plus a working-backwards PR-FAQ narrative spine (launch-day tense, empty-chair test, five external + five internal FAQs) and per-channel message angle packs (angles, not finished copy). Not for the positioning canvas itself — use positioning-mapper; not for finished blog posts or pages — use content-writer; not for ad or email units — use each discipline creative builder; not for claim adjudication — use offer-claims-registry. 消息屋/PR-FAQ/价值支柱/发布叙事TestareFără avertismente★ 3 K↓ —
- send-experiment-designeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "design an email A/B test", "set up a multivariate subject/CTA test", "run a send-time test", "build a hold-out group", or "is this email result statistically and practically material?"; produces a falsifiable hypothesis, one-variable-per-cell matrix, sample-size/MDE/duration/power plan, and an effect/uncertainty read from own ESP data. Applies only a precommitted owner-approved action rule; the helper never chooses a business action. Not for EQS/vetoes or writing the email. 邮件AB测试设计/多变量测试/发送时间测试/留出组/显著性判定TestareFără avertismente★ 3 K↓ —
- message-test-designeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "test our messaging before we scale it", "design a message-market-fit panel", or "run a 5-second comprehension test on our new tagline"; produces a message-test design spec — hypothesis, panel and recruit criteria, comprehension / 5-second / message-market-fit (Wynter-style) protocols, stimulus set drawn from the canon, success thresholds, and a stop/revise decision rule — for the TALE Evaluate phase so the message is validated before any paid scale. It designs the test; it never runs the experiment or adjudicates a claim. Not for running the panel or A/B experiment — use send-experiment-designer or ad-test-designer; not for analyzing the results — use performance-analyzer; not for authoring the message itself — use message-system-architect. 消息测试/理解度测试/面板设计/五秒测试/消息市场契合TestareFără avertismente★ 3 K↓ —
- physicsnemo-shard-tensorNVIDIA/skillsOfficial NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and register shard patches to enable new layers/ops, and bootstrap multi-GPU correctness tests. Use when working with ShardTensor, scatter_tensor, domain parallelism, sequence/spatial sharding, ring attention, DeviceMesh + DDP/FSDP2 hybrid parallelism, or physicsnemo.domain_parallel. Do NOT use for generic PyTorch DDP/FSDP setup without domain parallelism, picking a PhysicsNeMo model or example (use physicsnemo-discover), or non-distributed training questions.TestareFără avertismente★ 3,7 K↓ —
- hatch-petnexu-io/open-designCreate, repair, validate, preview, and package Codex-compatible animated pet spritesheets from character art, screenshots, generated images, or visual references. Use when a user wants to hatch a Codex pet, create a custom animated pet, or build a built-in pet asset with an 8x9 atlas, transparent unused cells, row-by-row animation prompts, QA contact sheets, preview videos, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.TestareFără avertismente★ 102,9 K↓ —
- idea-refineaddyosmani/agent-skillsRefines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking. Use when an idea is still vague, when you need to stress-test assumptions before committing to a plan, or when you want to expand options before converging on one. Triggers on "ideate", "refine this idea", or "stress-test my plan".TestareFără avertismente★ 109,1 K↓ —
- offensive-deauth-disassocSnailSploit/Claude-RedDeauthentication and disassociation attacks against 802.11 networks — targeted single-client deauth for handshake capture, broadcast deauth for DoS (with authorization), action-frame attacks bypassing 802.11w (PMF), beacon flooding, mdk4 / aireplay-ng tooling, and rate-limit / PMF-aware operation. Use to coerce client reconnection (handshake capture, evil-twin roaming), as targeted DoS, or to test PMF posture.TestareFără avertismente★ 7,7 K↓ —
- offensive-network-attacksSnailSploit/Claude-RedDense description covering ARP spoofing, LLMNR/NBT-NS/mDNS poisoning, DNS poisoning, MITM attacks, VLAN hopping, DHCP attacks, 802.1X/NAC bypass, IPv6 attacks. Tools: Bettercap, Responder, mitm6, Ettercap, Wireshark. MITRE T1557, T1040. Use when conducting internal network assessments or testing Layer 2/3 attack surface.TestareFără avertismente★ 7,7 K↓ —
- gemininowork-studio/notfair-pluginCross-model second opinion from Google Gemini — a different AI reviewing the same changes, with deep Google ecosystem knowledge. Three modes: review (pass/fail gate for Google Ads campaigns, SEO metadata, or code), challenge (adversarial stress-test that tries to break your changes), and consult (open Q&A with Gemini on Google Ads strategy, SEO best practices, or implementation questions). Use when the user says "gemini review", "ask gemini", "gemini challenge", "second opinion from gemini", "consult gemini", "stress test with gemini", "what would gemini say", "cross-model review", or "get another opinion". Voice aliases: "gem", "gemini check". Especially useful for Google Ads changes, SEO metadata updates, campaign structure decisions, keyword strategies, and bid/budget changes — Gemini has native Google ecosystem knowledge that complements Claude's analysis.TestareFără avertismente★ 4 K↓ —
- setup-cmsnowork-studio/notfair-pluginConnect a CMS to notfair SEO tools. Guides users through configuring WordPress, Strapi, Contentful, or Ghost — tests the connection, and writes credentials to .env.local. Once set up, seo-analysis automatically cross- references CMS content against Google Search Console data. Use whenever the user says "connect my CMS", "set up WordPress", "configure Strapi", "add Contentful", "connect Ghost", or "CMS setup". Also trigger if the user asks why no CMS data appears in a seo-analysis report.TestareFără avertismente★ 4 K↓ —
- meta-tags-optimizernowork-studio/notfair-pluginOptimize title tags, meta descriptions, Open Graph, and Twitter cards for maximum click-through rate. Generates multiple A/B test variations with character counting and SERP preview. Use when asked to "optimize title tag", "write meta description", "improve CTR", "Open Graph tags", "fix my meta tags", "social media preview", "my click rate is low", "title optimization", or any meta tag task.TestareFără avertismente★ 4 K↓ —
- skill-zhihu-answerZJU-REAL/Easel知乎问答回答发布：在知乎问题下发布原创回答——搜热门问题、检查可答性、写内容、 Playwright 发布（绕 header 遮挡 + JS 遍历发布按钮）。当用户说"回答知乎问题""在知乎问答下回答" "发知乎回答""知乎答题""帮我回答这个知乎问题""批量回答知乎"时使用。与 skill-zhihu-publisher 区别：那个发**专栏文章**（zhuanlan），本 SKILL 专发**问答区的回答**；回答内容写作用制作层 SKILL （novel-writer / copywriting）。TestareFără avertismente★ 3,9 K↓ —
- skill-douyin-uploadZJU-REAL/Easel将视频/图文内容发布到抖音（creator.douyin.com）。基于 Playwright + 持久化登录态，headless 即可运行， 流程与选择器移植自开源实现 douyin-upload-mcp-skill（含高清发布入口、切 tab、上传等转码、AI 封面、 发布成功 toast 校验、二维码登录）。适用场景：发布抖音视频、发布图文、扫码登录、发布前预检。TestareFără avertismente★ 3,9 K↓ —
- skill-xhs-publisherZJU-REAL/Easel将图文/视频内容发布到小红书（XHS）。基于 Playwright + 持久化登录态，headless 即可运行， 流程与选择器移植自成熟开源实现 xiaohongshu-mcp（含发布成功校验、上传完成等待、话题联想绑定、 新旧发布按钮兼容、反检测）。适用场景：发布图文笔记、发布视频、扫码登录、发布前预检。TestareFără avertismente★ 3,9 K↓ —
- skill-channels-uploadZJU-REAL/Easel微信视频号发布：把竖版短视频发布到微信视频号（channels.weixin.qq.com）。当用户说 "发视频号""上传视频号""视频号发布""发到微信视频号""视频号投稿"时使用。基于通用浏览器 发布框架（Playwright + 登录态持久化），微信扫码登录。TestareFără avertismente★ 3,9 K↓ —
- skill-kuaishou-uploadZJU-REAL/Easel快手视频发布：把竖版短视频发布到快手创作者中心。当用户说"发快手""上传快手""快手投稿" "发布到快手""快手视频发布"时使用。基于通用浏览器发布框架（Playwright + 登录态持久化）。TestareFără avertismente★ 3,9 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★ 3,9 K↓ —
- skill-xhs-comment-replyZJU-REAL/Easel小红书评论互动运营：列出我的笔记、抓取某条笔记下的评论、按画像语气逐条回复、以及删除评论 （含自己发的回复）。基于 Playwright + 持久化登录态，headless 即可运行，与 skill-xhs-publisher 共用同一登录态。评论抓取走接口响应拦截（稳）；回复/删除走 DOM 文本定位（无坐标）+ 逐字符输入反检测； 带已回复去重、逐条间隔防风控、dry-run 预演。用 notes 列笔记或 fetch --url 贴链接，免手动拆 token。 触发：抓小红书评论 / 回复评论 / 删除评论 / 删评 / 维护评论区 / 看我某条笔记的评论。TestareFără avertismente★ 3,9 K↓ —
- offensive-sstiSnailSploit/Claude-RedDense description covering Server-Side Template Injection across Jinja2, Twig, Freemarker, Velocity, Pebble, Smarty, Mako, Handlebars, ERB, Thymeleaf, EJS, Pug. Engine fingerprinting, filter bypass, blind exploitation, WAF evasion, SSTI-to-RCE chains. Tools: tplmap. CWE-1336. MITRE T1190. Use when testing template rendering endpoints or exploiting template injection for code execution.TestareFără avertismente★ 7,7 K↓ —
- semgrep-rule-variant-creatortrailofbits/skillsCreates language variants of existing Semgrep rules. Use when porting a Semgrep rule to specified target languages. Takes an existing rule and target languages as input, produces independent rule+test directories for each language.TestareFără avertismente★ 7,7 K↓ —
- testing-handbook-generatortrailofbits/skillsGenerates Claude Code skills from the Trail of Bits Testing Handbook (appsec.guide), analyzing handbook pages and emitting SKILL.md files with the structure each skill type requires. Use when creating or refreshing a skill from handbook content, or when the user names the testing handbook or appsec.guide. Not for answering security testing questions — the generated skills cover those.TestareFără avertismente★ 7,7 K↓ —
- constant-time-testingtrailofbits/skillsMeasures timing side channels in cryptographic implementations by running them, using dudect for statistical analysis and Timecop over Valgrind for dynamic tracing. Covers the formal, symbolic, dynamic, and statistical tool categories and how to read a result. Use when testing whether a running implementation is constant-time, measuring timing variance on a compiled binary, or investigating a suspected timing attack. Not for statically inspecting compiler output — the constant-time-analysis plugin covers that.TestareFără avertismente★ 7,7 K↓ —
- property-based-testingtrailofbits/skillsWrites, reviews, and debugs property-based tests — Hypothesis, fast-check, proptest, jqwik, rapid, and Echidna or Medusa for Solidity invariants. Use whenever tests should cover a whole input domain instead of a hand-picked list of examples: encode/decode and serialize/deserialize pairs, parsers, canonicalizers and normalizers, validators, numeric and Decimal types, comparators and sort order, data structures, and smart-contract state invariants. Also use when adding cases to an existing @given, fast-check, or proptest suite, when judging whether existing property tests assert anything real, and when a generator has shrunk a counterexample and you need to tell a wrong property from a genuine bug. Not for coverage-guided binary fuzzing (libFuzzer, AFL), mutation-testing campaigns, static analysis, benchmarking, or end-to-end UI tests.TestareFără avertismente★ 7,7 K↓ —