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 2 hours ago
48,055 skills
- email-lifecycle-send-checkgooseworks-ai/goose-skillsChecks a drafted email flow or broadcast before it is loaded: flow logic and exits, overlaps, offer depth and codes, stock, claims, consent and legal footer, SMS rules, rendering, voice and AI-copy tells, and the goal metric. Returns a pass / fixed / open-question table. Use alone when you already have the finished draft and the brand's product and policy facts; otherwise run email-lifecycle.ProductivityNo warnings★ 1.3K↓ —
- research-audience-segment-passgooseworks-ai/goose-skillsStep of the research-audience playbook: the worker brief for researching one buyer group, returning notes in a fixed shape. Run research-audience instead; not for direct use.ScienceNo warnings★ 1.3K↓ —
- 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↓ —
- 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↓ —
- asc-localize-metadatarorkai/app-store-connect-cli-skillsAutomatically translate and sync App Store metadata (description, keywords, what's new, subtitle) to multiple languages using LLM translation and asc CLI. Use when asked to localize an app's App Store listing, translate app descriptions, or add new languages to App Store Connect.EngineeringNo warnings★ 1.1K↓ —
- 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↓ —
- research-competitors-rival-passgooseworks-ai/goose-skillsStep of the research-competitors playbook: the worker brief for profiling one rival at a capped depth, returning a fixed-shape profile. Run research-competitors instead; not for direct use.ScienceNo warnings★ 1.3K↓ —
- 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↓ —
- oma-tf-infrafirst-fluke/oh-my-agentInfrastructure-as-code specialist for multi-cloud provisioning using Terraform across any provider (AWS, GCP, Azure, Oracle Cloud). Use for terraform plan/apply, state management, compute, databases, storage, networking, IAM, OIDC, cost optimization, policy-as-code, ISO/IEC 42001 AI controls, ISO 22301 continuity, and ISO/IEC/IEEE 42010 architecture documentation.DevOpsNo warnings★ 1.4K↓ —
- executive-cvmohitagw15856/pm-claude-skillsWrite an executive or senior leadership CV and the matching board biography: scope, business results and governance up front, two to three pages, written for search firms and boards. Use when asked to write my executive CV, director or C-suite resume, CV for a headhunter, board bio, or non-executive director application. Produces the executive CV with a scope line per role, a results-led profile, a 150-word board biography in the third person, and a short brief for search consultants.WritingNo warnings★ 1.5K↓ —
- analyze-performance-diagnosegooseworks-ai/goose-skillsStep of the analyze-performance playbook: flags tracking breaks with fixes and explains each big metric move with evidence, confidence and ruled-out causes. Run analyze-performance instead; not for direct use.OtherNo warnings★ 1.3K↓ —
- make-static-ads-fix-rejectedgooseworks-ai/goose-skillsStep of the make-static-ads playbook: fixes a static image ad the platform rejected — finds the ad, maps the platform's reason to the line or element at fault, fixes copy for free or re-composes the image text on a quote, re-runs the claims and policy checks, and answers the request. A rejected video is the video playbook's job. Run make-static-ads instead; not for direct use.MarketingNo warnings★ 1.3K↓ —
- release-visualajnart/self-hostGenerate the self-host release announcement visual when preparing a release or announcing newly added Apps. Discover added Apps between refs and render the approved Logo hub with pulses, rather than inventing a new layout.MediaNo warnings★ 1.5K↓ —
- improve-search-visibility-question-setgooseworks-ai/goose-skillsStep of the improve-search-visibility playbook: drafts and scores the buyer-question set in AI and Google forms and groups it into page clusters. Run improve-search-visibility instead; not for direct use.OtherNo warnings★ 1.3K↓ —
- agm-in-a-boxmohitagw15856/pm-claude-skillsRun a club, PTA, or association AGM that finishes on time and holds up later — the notice and agenda done right, a quorum plan, minutes that capture decisions not conversations, elections without awkwardness, and the follow-up that makes decisions real. Use when a volunteer says 'I have to run the AGM', 'what goes in the agenda', 'nobody comes to our meetings', or 'our elections are a mess'. Produces the notice, agenda, chair's script, minutes template, and quorum rescue plan.PlanningNo warnings★ 1.5K↓ —
- os-whats-nextkharmanskyi/open-stepsALWAYS invoke this skill when the user asks what to do next, what is left, or what is blocked - "what's next", "what now", "what should we work on", "anything I can do" - in any language. This skill picks the next piece of work; when the user asks HOW to do a thing or says they do not understand what to do, that is os-step-by-step. Reads the last report, local changes, open pull requests and always the backlog. First finishes what is finished: verified-ready pull requests merge in the same pass. Then sorts the rest into doable-alone and needs-you, ending with one recommended next task in plain words - what it closes or unblocks. Never invents tasks.ProductivityNo warnings★ 1.3K↓ —
- make-content-two-pass-editgooseworks-ai/goose-skillsEdits an existing draft in order: a substance pass (arguable thesis, swap test, fakes removed, CTA fit), a claims and fact check that cuts or softens unproven lines, a readability and voice-match pass, then an AI-tell sweep, with an edit note listing open gaps. Use alone when you already have a finished draft and the brand's voice samples and approved claims; otherwise run make-content.WritingNo warnings★ 1.3K↓ —
- render-creator-pip-listiclegooseworks-ai/goose-skillsAssemble a creator picture-in-picture product-listicle ad from a config. The creator stays full-frame for every beat (voice and lips generated together), and each product beat carries three overlays for the whole beat: a title pill, the product demo in a rounded picture-in-picture window (the brand's muted UGC clip, or its UI still or screen recording), and a product card with thumbnail, number, category and name. Hook and CTA beats show the creator with the title pill only. It builds one overlay image per beat, composites it on the creator clip, concatenates the beats and burns timed captions last. Free, deterministic assembly; the creator anchor and talking clips come from create-image-fal and create-video-fal. Use for the creator-pip-listicle format.MediaNo warnings★ 1.3K↓ —
- scenario-ugcscenario-labs/skillsUse when producing UGC-style creator video with Scenario: a talking-head ad or testimonial from a portrait and a script, a founder clip, a product demo or unboxing, a reaction or before-after cut, a faceless voiceover over b-roll, or vertical social video for TikTok, Reels, or Shorts that must feel filmed on a phone rather than produced. Keywords: UGC, creator ad, talking head, testimonial, avatar, lipsync, founder video, social proof, faceless voiceover, organic, vertical video.MediaNo warnings★ 1.5K↓ —
- commithashgraph-online/awesome-codex-pluginsGenerate a Conventional Commits message, commit, and optionally push to remote.EngineeringNo warnings★ 1.5K↓ —
- hep-cloudagentlas-ai/Agentlas-OSStaff a task only from the signed-in owner's Agent Cloud agents.ProductivityNo warnings★ 1.6K↓ —
- jd-decodermohitagw15856/pm-claude-skillsDecode a job description to find what they actually want beneath the buzzwords. Use when asked to analyse a job description, decode a JD, assess fit for a role, or figure out what a posting really means before applying. Produces a decode — the real must-haves vs. nice-to-haves, hidden priorities & culture signals, red flags, an honest fit assessment, and the exact phrases to mirror in your application.OtherNo warnings★ 1.5K↓ —
- research-market-listeninggooseworks-ai/goose-skillsStep of the research-market playbook: the worker brief for listening to what people say about the brand and category, risks first. Run research-market instead; not for direct use.ScienceNo warnings★ 1.3K↓ —
- shiphashgraph-online/awesome-codex-pluginsRelease-gate sequence: validate → review → push → tag. Wraps kernel:git mechanics with the pre-ship safety chain. Triggers: ship, release, push to main, ready to merge, deploy.DevOpsNo warnings★ 1.5K↓ —
humanize
fcakyon/claude-codex-settings
From the author
This skill should be used when writing or revising text, including responses, documentation, comments, emails, posts, reports, and messages, especially when the user asks to "humanize", "write naturally", "remove AI tone", or "avoid AI writing".
Install
npx skills add fcakyon/claude-codex-settings --skill humanize -a claude-code
Installs to .claude/skills/humanize/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Safety checks on SKILL.md
No warnings.
Why 88
Files (1)
- SKILL.md