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.
49,105 skills from 2,358 repositories · updated 15 hours ago
48,055 skills
- openmeld-cliamplifthq/openmeldUse OpenMeld through its public CLI to work in Spaces, reply to a Wake, consult the Center Agent, connect this computer, manage Agent Profiles, or diagnose delivery.EngineeringNo warnings★ 1.4K↓ —Also in 1 other repo
- performancedaveebbelaar/bamaMake a macOS app fast by measuring hangs, stutter, CPU, memory, and energy, then moving work off the main thread and onto the GPU. Use when the app freezes, a shortcut feels slow, dragging stutters, the fan spins, memory grows, or the user asks to optimize or profile.ProductivityNo warnings★ 1.4K↓ —
- swift-swiftuidaveebbelaar/bamaSwift 6 and SwiftUI code rules for macOS apps, including concurrency, state, SwiftData, AppKit bridges, and fixes for common compiler errors. Use when writing, reviewing, or debugging Swift code in a Mac app, or on concurrency, Sendable, or "not in scope" errors.WritingNo warnings★ 1.4K↓ —
- build-and-verifydaveebbelaar/bamaBuild a SwiftUI macOS app from the command line, install it, and check light and dark window snapshots of every page before calling a change done. Use after any UI code change, when a build fails, or when the user asks to run, screenshot, or check the app.DesignNo warnings★ 1.4K↓ —
- open-wrap-urlmicrosoft/power-platform-skillsUse when the user wants to open the Power Apps Wrap page for an app ID in the active environment.OtherNo warnings★ 1.1K↓ —
- 01-auto-arenaagentscope-ai/OpenJudgeAutomatically evaluate and compare multiple AI models or agents without pre-existing test data. Generates test queries from a task description, collects responses from all target endpoints, auto-generates evaluation rubrics, runs pairwise comparisons via a judge model, and produces win-rate rankings with reports and charts. Supports checkpoint resume, incremental endpoint addition, and judge model hot-swap. Use when the user asks to compare, benchmark, or rank multiple models or agents on a custom task, or run an arena-style evaluation.TestingNo warnings★ 1K↓ —
- codexdzhng/skillsUse the local Codex CLI as an independent second agent. Two branches — (1) proactively run `codex review` for a second opinion after completing a substantive change, before presenting it as done or committing; (2) delegate a well-defined implementation task via `codex exec`, ONLY when the user explicitly asks for Codex to do it. Also covers how to prompt Codex.EngineeringNo warnings★ 1.4K↓ —
- skillhashgraph-online/awesome-codex-pluginsA curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The #1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-pluginsOtherNo warnings★ 1.5K↓ —
- appllama-usageAppllama/appllama-skillsUse the Appllama MCP (mcp.appllama.io) well — research real top-grossing mobile apps, their screens, flows, and UI elements, then build from what you learn. Load when the Appllama MCP is connected and the task involves building a mobile app or screen, researching app design patterns, studying onboarding/paywall/feature flows, improving an existing screen, or whenever an appllama_* / search_apps / list_app_screens tool is available. Covers the tool map, pagination, expiring media, and the full build-from-research playbooks.DesignNo warnings★ 3.9K↓ —
- partnerships-architectalirezarezvani/claude-skillsUse when deciding whether to sign a partner, at which tier (referral, reseller, OEM, SI, alliance), with what joint GTM and revshare. Runs partner_tier_classifier.py, revshare_modeler.py and joint_gtm_planner.py.PlanningNo warnings★ 29.2K↓ —
- 00-arena-routeragentscope-ai/OpenJudgeUse when the user wants to compare or benchmark multiple LLMs/agents arena-style but it's unclear which specific workflow fits — a general-purpose win-rate comparison on a custom task, or a benchmark specifically about reference/citation hallucination rate. Also use when the user mentions model arena, agent arena, pairwise model comparison, win-rate ranking, or comparing models on a task and hasn't specified whether that task is generic or about citation accuracy. This skill is the entry router for the arena-eval suite: it asks one diagnostic question when needed, then recommends the workflow or workflows needed to cover the request.PlanningNo warnings★ 1K↓ —
- web-design-guidelinesfcakyon/claude-codex-settingsReview UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".DesignNo warnings★ 1.2K↓ —
- researchtaishi-i/awesome-japanese-nlp-resourcesAnalyze current trends and challenges in Japanese NLP for a topic. Surveys the existing awesome-japanese-nlp-resources dataset and augments it with up-to-the-minute web research to produce a combined trend + issue report. Use only when the user explicitly wants a trend/landscape report, a challenges/limitations report, or a general research overview of a Japanese NLP topic (this combines the bundled dataset with live web research). Trigger phrases include '日本語LLMの最新トレンド', '〜の動向をまとめて', '最近の日本語NLPの流れ', '日本語LLMの課題', '〜の問題点・限界', '未解決の論点', 'trend report on Japanese embeddings', 'latest Japanese speech models', 'challenges in Japanese NER', 'limitations of Japanese embeddings'. For a simple lookup use the search skill; this one runs web research.ScienceNo warnings★ 1K↓ —
- yolo-trainingfcakyon/claude-codex-settingsThis skill should be used when user asks to "improve my mAP", "why is my model overfitting", "my training is diverging", "read my results.csv", "interpret my training curves", "my AP50 is good but AP50-95 is bad", "my recall is low", "how do I pick learning rate", "which augmentations should I use", "should I use a bigger model", "tune hyperparameters", or asks how to train YOLO26 for detection, instance or semantic segmentation, pose, OBB, classification, or depth.DataNo warnings★ 1.2K↓ —
- logo-designrampstackco/claude-skillsGenerate logo variants for a brand, producing multiple production-grade marks across different architectures (wordmark, lockup, symbol-only, letterform-as-symbol, monogram) with rationale, application specs, and decision-ready presentation. Distinct from `brand-identity`, which produces the complete system (logo plus color, type, voice, applications). Goes deep on the logo specifically: typographic register, symbol approach, application-context discipline (16px favicon, embroidery, signage, motion), and production specs (SVG-ready, single-color, reverse). Triggers on logo design, design a logo, wordmark, monogram, lockup, mark variants, logo iterations, redesign or refine the logo, logo refresh, letterform-as-symbol, and exploring mark variants for an established brand. Does NOT fire for full brand identity (use `brand-identity`), positioning or strategy (use `brand-discovery`), project-wide creative direction (use `creative-direction`), or one-off illustration.DesignNo warnings★ 1K↓ —
- render-food-product-sizzlegooseworks-ai/goose-skillsAssemble a wordless macro-tabletop food-product sizzle ad from a config — normalize fps and SAR across ~4 photorealistic macro clips (hands tearing, flat lay, bite, box hero), concat them, apply a global anti-AI grain pass (eq plus hqdn3d plus noise), composite the audio (a non-diegetic instrumental music bed plus a couple of short diegetic SFX like a snap and a tear placed at measured cue points, loudnorm), composite a STATIC end card entirely in PIL (real logo PNG plus real product PNG plus a serif heritage headline plus a CTA — never AI-rendered text), and burn optional serif stat-callout pills at beats. This is the FREE deterministic assembly stage (normalized concat plus grain plus music and SFX mix plus PIL end card plus callouts); the macro keyframes, i2v clips, and music bed come from create-image-fal, create-video-fal, and create-music-elevenlabs. Use for the food-product-sizzle format.MediaNo warnings★ 1.3K↓ —
- polar-local-environmentfcakyon/claude-codex-settingsThis skill should be used when setting up or managing Polar local development environment with Docker.DevOpsNo warnings★ 1.2K↓ —
- comparetaishi-i/awesome-japanese-nlp-resourcesCompare several Japanese NLP libraries, models, or datasets for a keyword (a specific tool name, or a function/task like '形態素解析') across a handful of criteria chosen for that comparison, rendered as a ○/△/✕ table. Use when the user wants a side-by-side comparison of multiple Japanese NLP tools/libraries/datasets, not just the single best one. Trigger phrases include 'X と Y と Z を比較して', '形態素解析ライブラリを比較', 'MeCab と Sudachi どっちがいい', 'どのツールを使うべき', 'compare japanese tokenizers', 'mecab vs sudachi vs janome', 'which embedding model should I use', '日本語NERライブラリの比較表', 'pros and cons of japanese OCR tools'. For a single ranked list use search; for alternatives to one specific tool (or contribution candidates) without a multi-axis table, use discover.MediaNo warnings★ 1K↓ —
- discovertaishi-i/awesome-japanese-nlp-resourcesGiven a Japanese NLP GitHub repo/model/dataset (URL / owner/repo / tool name) OR a topic, find what's already in awesome-japanese-nlp-resources and discover related resources NOT yet listed (contribution candidates). Mines the bundled dataset, then expands via web research across GitHub and Hugging Face. Use when the user names a SPECIFIC repository, model, or tool and wants alternatives/equivalents, OR wants to discover Japanese NLP resources for a topic that are NOT yet in the list, OR wants to prepare a contribution. Trigger phrases include 'mecabに似たツール', 'fugashiの代替', 'alternatives to fugashi', 'repos like manga-ocr', 'what else is like sudachi', 'リストに無い新しい日本語NLP', 'awesome-japanese-nlpに追加できそうな', '最近公開された日本語NLPツール', 'find unlisted Japanese NLP repos', 'new Japanese models on Hugging Face', 'contribute a new resource'. For a simple lookup of what already exists, use the search skill instead.ScienceNo warnings★ 1K↓ —
- searchtaishi-i/awesome-japanese-nlp-resourcesSearch all Japanese NLP resources (libraries, models, datasets, tutorials, dictionaries, Hugging Face). Accepts keywords or natural language questions in any language. Use whenever the user asks which Japanese NLP resource to use, or wants to find one: tokenizers / morphological analyzers, BERT or LLM models, embeddings, NER, text classification, datasets / corpora, dictionaries, tutorials, or Hugging Face models. Trigger phrases include '日本語の形態素解析ライブラリ', 'おすすめの日本語tokenizer', '日本語BERTモデル', '日本語の感情分析データセット', '日本語LLM 一覧', 'which Japanese embedding model', 'Japanese NER library'.OtherNo warnings★ 1K↓ —
- preview-offline-scopemicrosoft/power-platform-skillsUse when the user wants to estimate the download size + sync frequency cost of an offline profile BEFORE pushing to users. Read-only. Wraps verify-offline-profile.js with per-table row-count estimates.OtherNo warnings★ 1.1K↓ —
- add-pen-inputmicrosoft/power-platform-skillsInternal implementation skill invoked by /add-native for pen, signature, ink, drawing, and handwriting capture workflows using @microsoft/power-apps-native-pen-input.OtherNo warnings★ 1.1K↓ —
- oma-docsNewfirst-fluke/oh-my-agentCheck documentation references, sync docs to code changes, and detect translation drift. Use for documentation maintenance in a repository.EngineeringNo warnings★ 1.4K↓ —
- baoyu-youtube-transcriptJimLiu/baoyu-skillsDownloads YouTube video transcripts/subtitles and cover images by URL or video ID. Supports multiple languages, translation, chapters, and speaker identification. Caches raw data for fast re-formatting. Use when user asks to "get YouTube transcript", "download subtitles", "get captions", "YouTube字幕", "YouTube封面", "视频封面", "video thumbnail", "video cover image", or provides a YouTube URL and wants the transcript/subtitle text or cover image extracted.MediaNo warnings★ 27.2K↓ —
ecommerce-video-ads
hashgraph-online/awesome-codex-plugins
NewMediaUpdated yesterday
From the author
Ecommerce video ad skills for Claude Code and AI agents: plans and makes short product videos that sell on TikTok, TikTok Shop, Instagram Reels and Meta ads, with AI or real footage. Asks the four questions that change the rules (where it runs, product facts, assets, budget), picks angle, hook, format and on-camera character, writes a second-by-second script, keeps the real product identical in AI shots, applies platform rules (AI labels, TikTok Shop bans on AI voices, slideshows and price mentions, the FTC fake-testimonial rule, music licensing), quotes cost before generating and plans different-concept variants. Use when someone wants a viral TikTok, Reels or TikTok Shop video for a product, ecommerce ad creatives or "10 ads for my product". Hands off to product-video-hooks, tiktok-shop-video, ai-ugc-ad-video, product-photo-to-video, ad-creative-testing and ecommerce-video-edit. NOT for app launch videos, music videos or brand films with nothing to sell.
Install
npx skills add hashgraph-online/awesome-codex-plugins --skill ecommerce-video-ads -a claude-code
Installs to .claude/skills/ecommerce-video-ads/ · 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 onlyUses the networkLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 88
Security100
Provenance78
Maintenance100
Licence100
Adoption51
Files (8)
- SKILL.md
- references/characters.md
- references/formats.md
- references/models-and-prompts.md
- references/platform-rules.md
- references/questions.md
- references/sources.md
- references/structure.md