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.
48,168 skills from 2,325 repositories · updated 11 hours ago
48,168 skills
- figure-it-outmichael-denyer/pstack-claudeDesign an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away. Scales rigor to the task, runs a hypothesis loop, and logs decisions. Use for /figure-it-out or 'figure it out'.DesignNo warnings★ 3.7K↓ —
- tao-train-ocrnetNVIDIA/skillsOCRNet for scene text recognition. Recognizes text content from cropped text-region images and supports CTC and attention-based decoders. Use when training, evaluating, exporting, pruning, quantizing, retraining, or running inference for a TAO OCRNet model. Trigger phrases include "train OCRNet", "scene text recognition", "OCR cropped text", "CTC / attention text decoder".OtherNo warnings★ 3.8K↓ —
- speckit-checklistforyourhealth111-pixel/Vibe-SkillsGenerate custom quality checklists for validating requirements completeness and clarity. Use to create unit tests for English that ensure spec quality before implementation.PlanningNo warnings★ 3.8K↓ —
- humanize-pptnexu-io/open-designA presentation system for agent-made PPTs — born for the talk, not just the template. It turns raw material into an AST (audience-state-transfer) outline with per-page visual-enhancement decisions (image / SVG diagram / video), hands a production brief to a downstream renderer (HTML-PPT skills or native PPTX), then runs a capped 3-round presentation checkup (演讲体检) on the rendered deck. It never renders slides itself. Use before generating PPT/HTML slides from raw material, and after rendering when the user says things like "给这份 deck 做演讲体检" or "PPT 渲染质检". If all you want is one beautiful template page with no outline and no checkup, a rendering skill alone is enough.WritingNo warnings★ 105.1K↓ —
- gsd:execute-phasedavepoon/buildwithclaudeExecute all plans in a phase with wave-based parallelizationPlanningNo warnings★ 3.7K↓ —
- landing-optimizeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "optimize our landing page for influencer traffic", "fix our promo-code landing page", or "improve conversion from a creator campaign"; produces a message-match audit, page-structure and social-proof recommendations, a promo-code/CTA conversion plan, and an A/B test roadmap. Not for measuring campaign results after launch — use performance-analyzer. 落地页优化/达人流量转化提升TestingNo warnings★ 3K↓ —
- jetson-print-device-infoNVIDIA/skillsUse when you need to print Jetson device info (module model, L4T version, kernel, OS version, current power mode) from a running Jetson target. This is an example skill.OtherNo warnings★ 3.8K↓ —
- tao-generate-anomaliesNVIDIA/skillsFull PAIDF AnomalyGen pipeline — fine-tune on a new anomaly dataset, generate synthetic anomaly images (SDG), evaluate quality (nn_score), and search per-sample (guidance, crop_ratio) parameters. Three modes: full (Phase 0→7: finetune then generate), finetune_only (Phase 0→1: train only), inference_only (Phase 0, 2→7: generate from an existing checkpoint). Use when the user asks to "fine-tune AnomalyGen", "generate anomaly images", "run PAIDF SDG", "evaluate SDG output quality", "run per-sample search", or run any part of the AnomalyGen pipeline, even if they only mention one phase.OtherNo warnings★ 3.8K↓ —
- 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。TestingNo warnings★ 4.2K↓ —
- gsd:threaddavepoon/buildwithclaudeManage persistent context threads for cross-session workProductivityNo warnings★ 3.7K↓ —
- ramp-rate-limitsjeremylongshore/tons-of-skills-marketplaceImplement a shared Ramp request budget with rolling-window throttling, bounded retries, pagination, and 504 recovery. Use when clients receive 429 or 504 responses or share one outbound IP. Trigger with "Ramp rate limit" or "Ramp 429".OtherNo warnings★ 2.9K↓ —
- impeccableUpdatedpbakaus/impeccableUse when the user wants to design, redesign, shape, critique, audit, polish, simplify, harden, animate, or otherwise improve a frontend interface: websites, landing pages, dashboards, product UI, components, forms, settings, onboarding, empty states, and native iOS or Android screens. Handles UX review, hierarchy, layout, typography, color, motion, UX copy, accessibility, responsive behavior, edge cases, and capturing or documenting design systems (DESIGN.md, tokens). Also for making bland UI bolder, loud UI quieter, or ambitious visual effects. Not for backend-only or non-UI tasks.DesignNo warnings★ 97.8K↓ —
- briefdavepoon/buildwithclaudeSession-start briefing from Origin. Reads the project status file (the /handoff-maintained ledger of Active/Backlog work), then loads identity, preferences, and topic-relevant memories so the agent walks in with context. Surfaces any memories the daemon has flagged for human revision before the session uses them. Invoked as `/brief [topic]`. Call FIRST at session start, before any other Origin verb.ProductivityNo warnings★ 3.7K↓ —
- debriefdavepoon/buildwithclaudeAlias for `/origin:handoff` — symmetric brief/debrief naming. Same behavior: end-of-session ritual that writes session log + project status + granular MCP captures. Invoked as `/debrief`. Use when the user prefers the brief/debrief pair over brief/handoff.WritingNo warnings★ 3.7K↓ —
- tao-train-mask2formerNVIDIA/skillsMask2Former for universal image segmentation (panoptic, instance, and semantic). Transformer-based with masked attention for high-quality segmentation results. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Mask2Former model. Trigger phrases include "train Mask2Former", "universal segmentation", "panoptic / instance / semantic segmentation", "masked-attention transformer segmenter".MediaNo warnings★ 3.8K↓ —
- skill-content-matrixZJU-REAL/Easel将内容支柱与多种格式交叉，生成选题矩阵，每个格子产出一个可直接执行的选题。 当用户说"选题矩阵""批量选题""选题池""内容矩阵""一次多个选题""支柱×格式""选题规划表"时使用。 和 skill-topic-evaluator 的区别：本 SKILL 批量生成选题池；topic-evaluator 评估单个选题是否值得做。OtherNo warnings★ 4.2K↓ —
- j-rigjeremylongshore/tons-of-skills-marketplaceInspect and use the J-Rig refiner CLI to bootstrap evaluation metadata, score a skill with an authorized provider, propose edits and inspect stored candidates. Use when improving an existing SKILL.md with evaluation evidence. Trigger with "refine this skill", "bootstrap an eval set" or "skill refiner status".WritingNo warnings★ 2.9K↓ —
- receiving-code-reviewforyourhealth111-pixel/Vibe-SkillsReview-feedback handling route for CodeRabbit, GitHub, PR, or human reviewer comments. Use before implementing suggestions to verify each finding. Do not use for a fresh code review, security audit, TDD, or final completion evidence.EngineeringNo warnings★ 3.8K↓ —
- press-media-relationsaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "build a media list for my launch", "write a launch press release", or "pitch press under embargo"; produces a three-tier media and analyst list (Tier 1 exclusive candidates, Tier 2 vertical press, Tier 3 communities and newsletters), an embargo pitch timing skeleton keyed to the launch-registry date, a press-release draft in standard structure with no fabricated quotes or numbers, and an analyst briefing outline. Not for press-kit assets — use launch-asset-packager; not for follow-up sequence mechanics — use outreach-manager; not for post-launch news-echo monitoring — use launch-monitor. 媒体名单/禁运期pitch/新闻稿/分析师简报WritingNo warnings★ 3K↓ —
- skill-persona-checkZJU-REAL/Easel人设一致性检查与品牌调性检查：对比内容与创作者画像的账号定位、内容赛道、形式、受众、 风格和偏好， 输出一致性评分和具体偏离点。当用户说"符合我的人设吗"、"一致性检查"、"风格对不对"、 "像我写的吗"、"品牌一致"、"调性检查"、"这是我的风格吗"、"人设偏了没"、 "语气对不对"、"品牌声音检查"时触发。 必须有 Profile 才能工作；无 Profile 时提示先创建。OtherNo warnings★ 4.2K↓ —
- audio-editingZJU-REAL/Easel通用音频处理：音频剪辑/裁剪、格式转码（mp3/wav/m4a/aac）、音量归一化、从视频提取音轨、多段拼接、淡入淡出、变速（保音高）。当用户说“剪音频”“裁一段”“转成 mp3”“调音量/响度”“提取音轨/扒音频”“拼接音频”“淡入淡出”“加速/减速音频”“变速不变调”时使用。与 audio-denoise 的区别：audio-denoise 专做降噪，audio-editing 做除降噪外的通用音频操作（也内置 denoise 作为兜底）。MediaNo warnings★ 4.2K↓ —
- miro-hello-worldjeremylongshore/tons-of-skills-marketplaceDesign and implement a bounded, read-only Miro connectivity probe that proves authorization context before writes are enabled. Use when smoke-testing a new Miro integration. Trigger with "test Miro connection".TestingNo warnings★ 2.9K↓ —
- 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。TestingNo warnings★ 4.2K↓ —
- package-usagepulumi/agent-skillsTrack which stacks across a Pulumi organization use a specific package and at what versions. Use for cross-stack audits, identifying outdated or unmaintained package versions across many stacks, finding affected stacks before publishing breaking changes to a component package, or planning coordinated upgrade rollouts. Do NOT use for upgrading a cloud provider package (pulumi-aws, pulumi-azure-native, pulumi-gcp, pulumi-kubernetes, etc.) in a single project — use skill `provider-upgrade` instead. Do NOT use for general infrastructure creation, resource provisioning, or how-to questions about a package.OfficialDevOpsNo warnings★ 78↓ —
principle-sequence-verifiable-units
michael-denyer/pstack-claude
WritingUpdated yesterday
From the author
Apply 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.
Install
npx skills add michael-denyer/pstack-claude --skill principle-sequence-verifiable-units -a claude-code
Installs to .claude/skills/principle-sequence-verifiable-units/ · 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
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Why 90
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Files (1)
- SKILL.md