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.
49,415 skills from 2,407 repositories · updated 3 hours ago
49,415 skills
- nejm-ethicsbrycewang-stanford/Awesome-Journal-SkillsUse to confirm clinical ethics and research-integrity requirements for an NEJM submission — IRB/ethics-committee approval and informed consent per the Declaration of Helsinki, ICMJE conflict-of-interest disclosures and authorship criteria, the role-of-the-funding-source statement, and the ICMJE data-sharing statement.ScienceNo warnings★ 1.4K↓ —
- hri-workflowbrycewang-stanford/Awesome-Journal-SkillsUse to plan an ACM/IEEE HRI campaign backward from the full-paper deadline through the abstract-then-paper two-step, the rebuttal, the program-committee meeting, camera-ready, and the March conference, coordinating the parallel alt.HRI, Late-Breaking Reports, video, and Student Design deadlines.ProductivityNo warnings★ 1.4K↓ —
- passive-deal-screeneralirezarezvani/claude-skillsUse when a passive investor shares a private deal (syndication, preferred equity, bridge fund, private credit) to screen as an LP. Stress-tests it, computes fee drag with fee_drag_calculator.py and compares terms with benchmark_comparator.py.TestingNo warnings★ 29.3K↓ —
- add-dataversemicrosoft/power-platform-skillsAdds Dataverse tables to a Power Apps code app with generated TypeScript models and services. Can also create new Dataverse tables. Use when connecting to Dataverse, adding tables, creating schema, or querying Dataverse data.EngineeringNo warnings★ 1.1K↓ —
- acl-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ACL project calendar across ACL Rolling Review cycles, covering cycle selection against conference commitment windows, backward planning from an ARR deadline, the review-response-meta-review timeline, commitment decisions, resubmission loops to later cycles, and camera-ready through ACL Anthology publication.ProductivityNo warnings★ 1.4K↓ —
- cav-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a CAV (Computer Aided Verification) project timeline from venue and category selection through submission, the two-stage review with early reject and rebuttal, artifact evaluation by the AEC, and the LNCS open-access camera-ready, with backward-planning offsets for a verification-tool paper and honest handling of the single-annual-deadline cycle.ProductivityNo warnings★ 1.4K↓ —
- senior-devopsalirezarezvani/claude-skillsSet up CI/CD pipelines, infrastructure as code, containers and deployments on AWS, GCP or Azure. Use whenever the user needs a build or deploy pipeline, Terraform, a Dockerfile, or wants to manage a release to the cloud.DevOpsNo warnings★ 29.3K↓ —
- pnas-trackbrycewang-stanford/Awesome-Journal-SkillsUse to choose the PNAS submission track — Direct Submission (standard, editor-assigned, peer reviewed) vs Contributed Submission (an NAS member communicates their own paper). Covers eligibility, the editor/member role, the discontinued and legacy tracks, and how to pick. Unique to PNAS.ScienceNo warnings★ 1.4K↓ —
- sci-fitbrycewang-stanford/Awesome-Journal-SkillsUse before any writing to stress-test whether a result clears Science's (AAAS) desk-reject filter — broad significance and general interest across disciplines. Decides Science vs Science Advances vs a specialist journal before you invest in prose.TestingNo warnings★ 1.4K↓ —
- ase-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ASE (IEEE/ACM Automated Software Engineering) research-track campaign backward from the deadline, through abstract registration, the double-anonymous submission, the early-rejection gate, rebuttal, the criteria-bound revision round, artifact evaluation, and the camera-ready in both IEEE Xplore and the ACM Digital Library.ProductivityNo warnings★ 1.4K↓ —
- pnas-databrycewang-stanford/Awesome-Journal-SkillsUse to build PNAS's Data Availability Statement and deposition plan — mandatory deposition of data in an approved repository at submission, accession numbers/DOIs, public + archived code, and materials sharing. "Available on request" is not sufficient for primary data.PlanningNo warnings★ 1.4K↓ —
- atc-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) campaign end to end — running the year backward from the early-June deadline through the two review rounds, the rebuttal, conditional-acceptance shepherding, the post-acceptance artifact evaluation, and the ACM Open Access camera-ready for the November Hong Kong conference.ProductivityNo warnings★ 1.4K↓ —
- error-decodermohitagw15856/pm-claude-skillsDecode an error message or stack trace into a plain-English cause, the exact fix, and how to prevent it. Use when asked to explain an error, debug a stack trace, figure out why code is throwing, or make sense of a cryptic exception. Produces a structured diagnosis: what the error means, the most likely cause, a concrete fix with code, and a prevention tip.EngineeringNo warnings★ 1.5K↓ —
- pnas-fitbrycewang-stanford/Awesome-Journal-SkillsUse before any writing begins to stress-test whether a result clears PNAS's bar — high quality and broad significance to a general scientific readership — and to make the realistic call between PNAS, Science/Nature, and a specialist field journal.TestingNo warnings★ 1.4K↓ —
- nejm-fitbrycewang-stanford/Awesome-Journal-SkillsUse this first, before any writing, to stress-test whether a clinical study clears NEJM's bar — practice-changing clinical impact, methodological rigor, and generalizability. Decides NEJM vs Lancet/JAMA vs a specialty journal.TestingNo warnings★ 1.4K↓ —
- musicNewChatCut-Inc/agent-pluginShared ChatCut background-music generation skill. Use when the user wants newly generated music, background music, an intro theme, a music bed, or BGM for a ChatCut video through `submit_music`.MediaNo warnings★ 1K↓ —
- asc-apple-adsrorkai/app-store-connect-cli-skillsUse when managing Apple Ads with asc, including OAuth profiles, ad-account discovery, Platform API v1 campaigns and targeting, reports, assets, recommendations, guarded mutations, raw requests, and Campaign Management API v5 migration.MarketingNo warnings★ 1.1K↓ —
- cache-efficiencyhoangsonww/Claude-Code-Agent-MonitorAnalyze prompt-cache effectiveness for Claude Code usage from the Agent Monitor dashboard — cache hit rate (total_cache_read / (total_cache_read + total_input)), cache_write vs cache_read reuse, cache-read vs cache-write spend, and the sessions with the poorest reuse. Pulls token totals from /api/analytics, per-session detail from /api/sessions, and dollar splits from /api/pricing/cost. Use when diagnosing cache spend or deciding whether prompt caching is paying off.DataNo warnings★ 1.1K↓ —
- expo-skill-evalexpo/skillsEvaluate Expo skills in this repo end-to-end - trigger accuracy, generated code quality, and runtime screenshots on iOS simulator and Android emulator via Expo Go (web optional). Use when the user wants to eval an Expo skill, test that a skill produces working code, benchmark a skill with device screenshots, or verify a skill's output renders correctly.OfficialTestingNo warnings★ 4.1K↓ —
- aitoearnNewyikart/AiToEarn全域内容运营助手（AiToEarn）：生成文章、短视频、图文与海报，并一键分发到抖音、快手、小红书、微信视频号、Facebook、TikTok 等海内外全平台，覆盖起号、涨粉、带货与变现全链路。 当用户想要创作或发布内容、生成/编辑图片、生成/剪辑/续写视频、提取字幕或语音转写、生成配音与音效、多平台一键发布或定时发布、给内容做变现规划时使用此技能。 依赖 AiToEarn MCP 提供生成与发布工具；工具未连接时如实告知用户配置方法，不虚构工具调用。OtherNo warnings★ 27.3K↓ —
- comprehensive-analysishuytieu/COG-second-brainDeep-dive 7-day analysis across all data sources for weekly reviews, board prep, and strategic planningPlanningNo warnings★ 1.3K↓ —
- design-reviewjezweb/claude-skillsReview a web app or page for visual design quality — layout, typography, spacing, colour, hierarchy, consistency, interaction patterns, and responsive behaviour. Not a UX audit (that checks usability) — this checks whether it looks professional and polished. Produces a design findings report with screenshots. Triggers: 'design review', 'does this look good', 'review the design', 'check the layout', 'is this polished', 'visual review', 'design audit', 'make it look better', 'it looks off'.DesignNo warnings★ 1.1K↓ —
- cn-fupanmohitagw15856/pm-claude-skillsRun a 复盘 (fupan), the structured project review widely used in Chinese companies: review the goal, assess the result, analyse why, and draw rules for next time, with a blame-free tone and owned actions. Use when asked 帮我做复盘, 项目复盘, 活动复盘, 复盘会怎么开, or a fupan or retrospective in Chinese. Produces the 复盘 document in Chinese with goal versus result, root causes split into controllable and uncontrollable, lessons stated as reusable rules, and an action list with owners and dates, plus a meeting agenda.WritingNo warnings★ 1.5K↓ —
- vibe-knowledge-filmHeyChengC/vibe-knowledge-film抖音「Vibe知识大赏」式的无旁白知识短片：2–5 分钟、16:9、没有人声，观众读底部一行字幕，同时看屏上把这句话演出来。 核心是讲解设计：给每个概念找一个外行认得的形象，画得像它本身（不用点、线、圈代替），句子里说到什么屏上就是什么、动词真的发生； 提问、命名、结论不硬配图。全片由代码逐帧画出（Canvas + seek(t) + Playwright + ffmpeg）。 内含四条参考片的逐句拆解、六种画法、找形象的方法、分镜表格式、两套外观、渲染引擎和合成配乐。 用户说"做一条 vibe 知识大赏的视频""像《信息论·惊奇之学》《运气的形状》《超常刺激》《自指》那样的片子""代码直出的知识短片""没有旁白的字幕科普片""把这个概念直观地讲清楚"， 或者给了一个题目、一份文案要做成这种片子时使用。只做 16:9 横屏。有人声口播的讲解片不用这个。TestingNo warnings★ 1.1K↓ —
dac-camera-ready
brycewang-stanford/Awesome-Journal-Skills
DesignUpdated Sep 27, 2026
From the author
Use when preparing the final ACM/IEEE Design Automation Conference (DAC) Research-Manuscript camera-ready after acceptance, covering de-anonymization, restoring author/affiliation/acknowledgement/funding blocks, the ACM copyright form and rights stamp, the April proceedings deadline, ACM Digital Library metadata and archival-flow checks, and the still-fixed 6+1 page budget.
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill dac-camera-ready -a claude-code
Installs to .claude/skills/dac-camera-ready/ · 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
No warnings.
Why 88
Security100
Provenance77
Maintenance100
Licence100
Adoption50
Files (1)
- SKILL.md