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.
49,409 skills from 2,375 repositories · updated 9 hours ago
48,362 skills
- test-mac-appdaveebbelaar/bamaTest a macOS app at three levels, from Swift Testing unit tests and an in-app self-test to a debug bridge that lets an agent drive the running app and read its state, plus computer use for real clicks. Use when adding logic, fixing a bug, before a release, or when the user asks for tests, end-to-end checks, or "make sure it works".TestingNo warnings★ 1.5K↓ —
- pldi-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a PLDI campaign across its annual clock — backward-planning from the November deadline through winter reviewing, the February response window, March notification, post-acceptance artifact evaluation, PACMPL production, and the June conference, with owners for each deliverable.ProductivityNo warnings★ 1.4K↓ —
- pnas-rebuttalbrycewang-stanford/Awesome-Journal-SkillsUse after PNAS reviews arrive to triage the decision, prioritize experiments, and draft a point-by-point response that is respectful, evidence-led, and honest about limits. Do not run before the main text is actually revised.OtherNo warnings★ 1.4K↓ —
- huggingface-vision-trainerhuggingface/skillsTrains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.OfficialMediaNo warnings★ 11.3K↓ —
- nejm-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when deciding which nejm-* sub-skill to invoke next, or when sequencing a clinical manuscript from significance test through response to reviewers for The New England Journal of Medicine. Routes — it does not replace — the specialized skills.ProductivityNo warnings★ 1.4K↓ —
- ndss-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an NDSS submission calendar — choosing between the summer and fall cycles, backward-planning from the AoE deadline through early-reject, rebuttal, notification, camera-ready, and the Seoul symposium, and placing NDSS honestly inside the security big-four retargeting year.ProductivityNo warnings★ 1.4K↓ —
- render-flat-vector-explainergooseworks-ai/goose-skillsAssemble the FREE steps of the flat-vector-explainer video format — a flat-illustration host character (who, where, tone, voice and music come from the recipe choices) walks a countable N-step product routine, one step per beat, and Remotion composites every chip/numeral/tagline/slate/CTA as an animated DOM overlay ON TOP of the Kling i2v character clips (text is NEVER baked into a keyframe — i2v warps type), the closing 'N products' grid is a PIL composite of the REAL product photos (not AI), full-sentence VO drives word-by-word burned captions over a VO-forward music bed, and the ~50s animated silent master is re-cut to a 30s deliverable FROM the animated master (never a static intermediate). Documentation-grade — ships config.example.json + PIPELINE.md + a README of the free assembly; the paid gen steps (keyframes, Kling i2v, VO, music) are separate capabilities the recipe orchestrates. Use for the flat-vector-explainer format.MediaNo warnings★ 1.3K↓ —
- jama-statisticsbrycewang-stanford/Awesome-Journal-SkillsUse when preparing or auditing the statistical analysis and reporting of a JAMA manuscript so it survives JAMA's dedicated statistical review. Enforces effect sizes with 95% CIs, multiplicity control, and pre-specification; it does NOT choose the study design or write prose.DesignNo warnings★ 1.4K↓ —
- nejm-abstractbrycewang-stanford/Awesome-Journal-SkillsUse to write the NEJM structured abstract — four headed sections (Background, Methods, Results, Conclusions), ≤250 words, with the trial registration number and funding source, leading the Results with the primary outcome reported as an effect size with a 95% CI. Late-stage polish skill.WritingNo warnings★ 1.4K↓ —
- run-without-youalirezarezvani/claude-skillsUse when a graded managed agent should run on a schedule, on an event trigger or on demand ('run it every morning'). Validates cron with cron_validator.py and builds the deployment with deployment_builder.py.DevOpsNo warnings★ 29.2K↓ —
- weekly-checkinhuytieu/COG-second-brainCross-domain pattern analysis and strategic reflection for weekly reviewEngineeringNo warnings★ 1.3K↓ —Also in 1 other repo
- 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↓ —
- mlsys-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an MLSys submission cycle end to end, from venue-fit and track choice through evaluation freeze, the October deadline, the four-day January response, notification, camera-ready, the March artifact-evaluation submission, and the May conference, with backward planning built around scarce GPU time and team ownership.ProductivityNo warnings★ 1.4K↓ —
- content-factoryhuytieu/COG-second-brainAutonomous content pipeline - scout announcements in your field, triage by trend momentum and personal angle, produce posts/blogs/videos in your voice with ledger-based dedup, hard volume caps, and screenshot-verified publishingOtherNo warnings★ 1.3K↓ —Also in 1 other repo
- mcp-mocked-markeralibaba/skill-upMCP mocked marker smoke skill used by skill-up e2e tests.TestingNo warnings★ 1.4K↓ —
- code-review-assistantalibaba/skill-upTriggered when the user submits code or requests a code review. Automatically analyzes code quality, identifies potential bugs, security vulnerabilities, and performance issues, and provides improvement suggestions. Trigger phrases include "take a look at this code", "review this", "is there a problem with this function".EngineeringNo warnings★ 1.4K↓ —
- naacl-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a research project's calendar toward NAACL — handling the chapter's skipped-year rhythm, choosing an ARR cycle when the edition's feeding cycles are not yet announced, backward-planning data and annotation work, and keeping a decision tree for commit-versus-wait-versus-reroute moments.ProductivityNo warnings★ 1.4K↓ —
- pnas-statisticsbrycewang-stanford/Awesome-Journal-SkillsUse to enforce PNAS's statistics and reproducibility reporting — n and replication, test choice and assumptions, effect sizes with uncertainty, multiple-comparison control, randomization/blinding, sample-size justification, pre-registration where relevant, and reproducible code.TestingNo warnings★ 1.4K↓ —
- 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★ 4K↓ —
- audit-agentsdzhng/skillsAudit or rewrite AGENTS.md so it holds only lasting principles. Run it only when the user asks for it by name; never invoke it on your own.OtherNo warnings★ 1.4K↓ —
- api-error-reporthoangsonww/Claude-Code-Agent-MonitorProduce a detailed report on APIError events from Agent Monitor data — counts over time, which sessions and models are affected, and the likely root cause (rate limits, overload/529, or context-window pressure) inferred from each event's summary and data payload. Use when API errors spike or when you need to explain why requests are failing.EngineeringNo warnings★ 1.1K↓ —
- deployment-config-guidealibaba/skill-upAsk for missing deployment settings and summarize the requested configuration without deploying it.DevOpsNo warnings★ 1.4K↓ —Also in 1 other repo
- product-ui-tastehuytieu/COG-second-brainAnti-slop skill for PRODUCT UI - dashboards, data tables, forms, multi-step flows, settings, list/detail, app shells. The agent reads the surface, budgets the frame first, and ships dense interfaces that are correct at every edge case (overflow, long labels, empty/error/loading states, i18n expansion, keyboard/a11y). House-system-first; maps to Carbon/Polaris/Atlaskit/Fluent/Primer/Material3/Radix-shadcn/Ant. The counterpart to taste-skill, which owns landing/portfolio/marketing.DesignNo warnings★ 1.3K↓ —
- pmla-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when running the final pre-submission preflight for PMLA (Publications of the Modern Language Association) via the ScholarOne site — venue selection, MLA-membership eligibility, anonymous preparation, word range, MLA style, cover sheet, and AI-content disclosure. Final checks; it does not draft content.OtherNo warnings★ 1.4K↓ —
stark
hashgraph-online/awesome-codex-plugins
DesignUpdated yesterday
From the author
Use for UI/UX design, product flows, frontend or native interface design, design audits, design translation, asset planning, motion direction, design tokens, or distinctive non-generic apps and websites. Covers web and React, Windows and WinUI/Mica, Apple and SwiftUI, Android and Jetpack Compose/Material, cross-platform UI, and token export. Route to the focused skill, then load only the references required for the selected surface and failure mode.
Install
npx skills add hashgraph-online/awesome-codex-plugins --skill stark -a claude-code
Installs to .claude/skills/stark/ · 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 88
Security100
Provenance78
Maintenance100
Licence100
Adoption51
Files (10)
- .codex-plugin/plugin.json
- LICENSE
- README.md
- SECURITY.md
- SKILL.md
- package-lock.json
- package.json
- skills/android-design/SKILL.md
- skills/cross-platform-design/SKILL.md
- skills/windows-design/SKILL.md