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.
47,966 skills from 2,309 repositories · updated 4 hours ago
46,854 skills
- adobe-common-errorsjeremylongshore/tons-of-skills-marketplaceClassify Adobe failures from redacted response evidence and select the smallest bounded recovery. Use across auth, Firefly, Photoshop, PDF Services, Events, and App Builder. Use when the task requires adobe response-led error triage. Trigger with "fix Adobe error", "Adobe 403", or "Adobe API failed".DocumentsNo warnings★ 2.9K↓ —
- meme-generatorZJU-REAL/Easel表情包 / Meme 生成：给图片加经典上下大字（白字黑边）做梗图，或在图上/下加配文条做反应图（'当…的时候'格式）。中英文都支持，自动换行和字号自适应。当用户说 表情包、做表情包、meme、梗图、reaction 图、配图加字、给这张图加字、做个梗、反应图、当xx的时候 时使用。基于 shared/scripts/meme_ops.py（Pillow）。与 card-quote 区别：card-quote 做精致金句卡片，meme-generator 做梗图/表情包；与 image-editing watermark 区别：那个加水印，本 SKILL 加梗字。MediaNo warnings★ 4.2K↓ —
- principle-sequence-verifiable-unitsbacknotprop/pstackApply to multi-step work (sweeps, migrations, runs of similar edits) and to how you stack commits and PRs. Break work into small units that each end in a verifiable state, check each before the next, and order delivery so the sequence proves itself to a reviewer.WritingNo warnings★ 3.2K↓ —
- image-enhancerdavepoon/buildwithclaudeImproves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.MediaNo warnings★ 3.7K↓ —
- figma-integrationplugin87/ux-ui-agent-skillsKeep Figma and code in sync. Map the 3-tier DTCG tokens to Figma Variables (collections + modes), sync in either direction, use the Figma MCP when connected, and verify component parity (variants/states). Use when the user wants to push tokens/components to Figma, pull a design into code, set up token↔Variable sync, or check design-code drift.DesignNo warnings★ 3.1K↓ —
- think-harderforyourhealth111-pixel/Vibe-Skills4-phase structured analysis wrapper for vibe pre-routing (compatible with claude-code-settings think-harder semantics).EngineeringNo warnings★ 3.8K↓ —
- tts-voiceoverZJU-REAL/Easel文字转语音配音：把文案/脚本合成为 AI 语音口播、旁白、朗读音频。**配了 VOICE_PROVIDER 默认走闭源云 TTS（CosyVoice2 等，有情感、像真人），edge 仅无 key 时兜底**（edge 偏机械/AI 味）；同步输出分句 SRT 字幕、mp3/wav/m4a。合成后可与 BGM 混音或加到视频作旁白。当用户说“配音”“文字转语音”“TTS”“AI 配音”“口播语音”“旁白”“朗读”“把这段文字读出来”“生成语音”“语音合成”时使用。OtherNo warnings★ 4.2K↓ —
- nemoclaw-user-guideNVIDIA/skillsGuides human users' AI agents to the NemoClaw docs MCP server and canonical Fern documentation in Markdown form. Use when users ask how to install, configure, operate, troubleshoot, secure, or learn NemoClaw with an AI coding assistant. Trigger keywords - nemoclaw docs, use nemoclaw with ai agent, nemoclaw mcp docs, nemoclaw install help, nemoclaw quickstart, nemoclaw markdown docs, llms.txt, agent skills.EngineeringNo warnings★ 3.8K↓ —
- address-sanitizertrailofbits/skillsBuilds and runs code under AddressSanitizer to catch buffer overflows, use-after-free, and other memory errors during fuzzing or tests. Covers -fsanitize=address builds, ASAN_OPTIONS, reading the crash report, LeakSanitizer, and the overhead and platform trade-offs. Use when fuzzing C/C++ or Rust that has unsafe blocks or FFI, when debugging a memory corruption crash, or when reading an ASan stack trace.TestingNo warnings★ 7.9K↓ —
- ctf-osintljagiello/ctf-skillsProvides open source intelligence techniques for CTF challenges. Use when gathering information from public sources, social media, geolocation, DNS records, username enumeration, reverse image search, Google dorking, Wayback Machine, Tor relays, FEC filings, or identifying unknown data like hashes and coordinates.MediaNo warnings★ 3.6K↓ —
- reproduce-regressiontrailofbits/skillsUse when deploying before/after systems and building a live-system PoC for a regression candidate.DevOpsNo warnings★ 7.9K↓ —
- text-condenserZJU-REAL/Easel字数裁剪/摘要：把长文本压缩到指定字数，保留核心信息。支持硬裁剪（严格字数）、 摘要（保留要点）、金句提取（只保留最精华的句子）三种模式。 特别适合从长文生成平台适配的短文。 使用时机：用户说"裁到 140 字"、"压缩一下"、"太长了"、"摘要"、"精简"、 "缩写"、"字数裁剪"、"帮我缩短"、"提炼要点"。 和 text-polisher 的区别：polisher 润色文案不改长度，condenser 压缩篇幅不做质量提升。OtherNo warnings★ 4.2K↓ —
- kiro-spec-designgotalab/cc-sddGenerate comprehensive technical design translating requirements (WHAT) into architecture (HOW) with discovery process. Use when creating architecture from requirements.DesignNo warnings★ 3.7K↓ —
- 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TestingNo warnings★ 3K↓ —
- tao-train-oneformerNVIDIA/skillsOneFormer for universal image segmentation. Unifies panoptic, instance, and semantic segmentation with a single architecture using task-conditioned queries. Use when training, evaluating, exporting, quantizing, or running inference for a TAO OneFormer model. Trigger phrases include "train OneFormer", "universal segmentation", "task-conditioned segmentation", "panoptic / instance / semantic in one model".MediaNo warnings★ 3.8K↓ —
- hunt-regressionstrailofbits/skillsUse when discovering possible regressions from a pinned change and its callers before reproduction.OtherNo warnings★ 7.9K↓ —
- exa-debug-bundlejeremylongshore/tons-of-skills-marketplaceProduce a minimal Exa diagnostic bundle that preserves reproducibility without exposing credentials, queries, retrieved content, or customer data. Use when operating or reviewing this Exa boundary. Trigger with "Exa debug bundle", "review Exa debug bundle", or "fix Exa debug bundle".EngineeringNo warnings★ 2.9K↓ —
- blast-radiusbacknotprop/pstackFind what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of writing it up. Use for 'blast radius of X', 'what could this break', or reviewing a small diff you don't trust.WritingNo warnings★ 3.2K↓ —
- cal-com-automationdavepoon/buildwithclaudeAutomate Cal.com tasks via Rube MCP (Composio): manage bookings, check availability, configure webhooks, and handle teams. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- brandkitplugin87/ux-ui-agent-skillsGenerate a complete, accessible brand design system from a brief, as primitive → semantic → component DTCG tokens (color, type, spacing, radius, shadow, motion), light + dark, plus a single theme.css, verified for WCAG. Use when the user wants a from-scratch brand/design foundation, a new palette + type system, or a themeable token kit for a product.DesignNo warnings★ 3.1K↓ —
- short-drama-assetszenstory-ai/drama-skills从短剧剧本拆出人物/造型、地点/视图、道具/状态和跨场连续性，写成创作者可读的视觉设定。用户说“拆角色/场景/道具”“做资产设定”“判断复用还是新变体”“更新造型/道具状态”，或拿现成剧本直接做视觉资产准备时使用；不写图片提示词，不生成媒体。OtherNo warnings★ 3.6K↓ —Also in 1 other repo
- skill-lookupforyourhealth111-pixel/Vibe-SkillsActivates when the user asks about Agent Skills, wants to find reusable AI capabilities, needs to install skills, or mentions skills for Claude. Use for discovering, retrieving, and installing skills.OtherNo warnings★ 3.8K↓ —
- email-creative-builderaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "write the email", "draft subject lines", or "build email creative"; produces the pre-click unit — subject-line variants + preheader, body copy, one clear CTA, and a plain-text alt — message-matched to the destination page and claims-ledger-aware. Not for pre-scoring or ranking subject-line variants (spam/truncation/render pre-score) — use subject-line-lab; not for scoring the email or computing EQS — use email-quality-auditor; not for the multi-step flow — use email-sequence-designer; not for the A/B test plan — use send-experiment-designer. 邮件文案/主题行/邮件创意ProductivityNo warnings★ 3K↓ —
- memoryjeremylongshore/tons-of-skills-marketplaceUse when sharpening a perception or observation you ALREADY formed about conversation state, user behavior, drift, emotional shifts, or cross-turn patterns. Trigger phrases include "what did you notice about X", "the user keeps doing Y", "I sense something has changed", "is the user X-ing", "what does this pattern suggest", "what shifted across our turns", "am I missing something here", "why did the conversation move from X to Y", or any moment requiring verification of whether a felt signal is real or projection. The skill calls the memory MCP tool to retrieve a perception scaffold (perception failure, detection procedure, suppression vectors) that SHARPENS an observation you already have. It is NOT a substitute for observing first. Do NOT trigger for fact extraction, summarization, list-making, factual lookups, or write-heavy memory tasks (storing/retrieving structured data). Memory harness is filter/perception oriented; calling on write-heavy tasks produces scaffold paralysis.ProductivityNo warnings★ 2.9K↓ —
doca-sha-offload-engine
NVIDIA/skills
TestingUpdated 23 hours ago
From the author
Use this skill when wiring the DOCA SHA Offload Engine (an OpenSSL ENGINE) into an existing OpenSSL pipeline to offload one-shot SHA-1, SHA-256, or SHA-512 (EVP_Digest) onto DOCA SHA hardware without rewriting against doca-sha. Covers engine load mechanics (`openssl engine dynamic`, `set_pci_addr` ctrl, `-engine_impl`), the SHA-224 negative test that proves offload engaged, the message-size window where offload beats CPU SHA, and engine-vs-library selection. Trigger even when the user does not say "DOCA SHA Offload Engine" or "OpenSSL ENGINE" — typical implicit phrasings: "speed up openssl SHA on BlueField", "offload SHA without code changes", "is openssl using the accelerator or falling back to software", "prove DOCA SHA actually ran", "openssl dgst hashed but I'm not sure it was offloaded". Refuse and route elsewhere for new SHA pipelines (use doca-sha), MD5 / SHA-3 / SHA-224 / HMAC-SHA offload, incremental hashing via chained `EVP_DigestUpdate`, or OpenSSL PROVIDER authoring.
Install
npx skills add NVIDIA/skills --skill doca-sha-offload-engine -a claude-code
Installs to .claude/skills/doca-sha-offload-engine/ · 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: APACHE-2.0
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance83
Maintenance100
Licence100
Adoption57
Files (8)
- BENCHMARK.md
- CAPABILITIES.md
- SKILL.md
- SKILLCARD.yaml
- TASKS.md
- evals/evals.json
- skill-card.md
- skill.oms.sig