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.
49,361 skills from 2,397 repositories · updated 16 minutes ago
48,261 skills
- openai-frontend-designfcakyon/claude-codex-settingsUse for new frontend applications, dashboards, games, creative websites, hero sections, and visually driven UI from scratch, or when the user explicitly asks for a redesign/restyle/modernization. Builds from clean, airy, high-taste, readable image-generated concept design with section-specific references, faithful implementation, and browser testing.DesignNo warnings★ 1.2K↓ —
- mcp-stdio-markeralibaba/skill-upMCP stdio marker smoke skill used by skill-up e2e tests.TestingNo warnings★ 1.4K↓ —
- nanoresearch-writingOpenRaiser/NanoResearchDraft a LaTeX research paper from all previous stage outputsWritingNo warnings★ 1.3K↓ —
- nanoresearch-ideationOpenRaiser/NanoResearchSearch academic literature and generate research hypothesesScienceNo warnings★ 1.3K↓ —
- ml-paper-writingOpenRaiser/NanoResearchWrite publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.ScienceNo warnings★ 1.3K↓ —
- writing-guidelinesfcakyon/claude-codex-settingsThis skill should be used when the user asks to "review writing", "check documentation style", "audit interface copy", or "apply writing guidelines".WritingNo warnings★ 1.2K↓ —
- peft-fine-tuningOpenRaiser/NanoResearchParameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.ProductivityNo warnings★ 1.3K↓ —
- ultragoalhuytieu/COG-second-brainRun a large, multi-session goal (e.g. shipping a whole side product) through the full V-model closed loop, one phase at a time, with cross-session state and a final north-star acceptance gate. Ultragoals never downgrade the lane: every phase runs CP-1→CP-6 with adversarial verification. Opt-in: invoke with /ultragoal or by calling something a long-running goal. Ordinary work does not run this.OtherNo warnings★ 1.3K↓ —Also in 1 other repo
- churn-preventionalirezarezvani/claude-skillsUse when designing a cancel flow, save offers, exit surveys or dunning emails, or cutting failed-payment churn. Sizes the revenue at stake with churn_impact_calculator.py first. Health scores and expansion: customer-success-manager.OtherNo warnings★ 29.3K↓ —
- cloudrun-developmentTencentCloudBase/CloudBase-AI-ToolkitCloudBase Run backend development rules (Function mode/Container mode). Use this skill when deploying backend services that require long connections, multi-language support, custom environments, AI agent development, or migrating existing/GitHub apps that need VPC access to MySQL/PostgreSQL/Redis. Also use when diagnosing CloudRun container deploy failures (deploy_failed, readiness/probe failed, image won't start, docker.io pull loops) or a deploy stuck behind a running deploy task. For stateless HTTP services, prefer HTTP cloud functions.DevOpsNo warnings★ 1.2K↓ —Also in 5 other repos
- sandbox-migrate-to-nextfcakyon/claude-codex-settingsMigrate Cloudflare Sandbox apps from stable @cloudflare/sandbox to @cloudflare/sandbox@next (SDK 1.0 preview). Use sandbox-next for apps already on the preview.DevOpsNo warnings★ 1.2K↓ —
- 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↓ —
- cloudflare-deployfcakyon/claude-codex-settingsDiscover and choose Cloudflare products for apps, APIs, AI agents, storage, networking, and security. Use for architecture and product selection, including when the user describes a need without naming a Cloudflare product; then find the relevant skill or documentation.DevOpsNo warnings★ 1.2K↓ —
- pricing-strategyalirezarezvani/claude-skillsUse for SaaS pricing tiers, value metric, packaging, a pricing page or a price increase, before proposing numbers. Models revenue across tier options with pricing_modeler.py.OtherNo warnings★ 29.3K↓ —
- favicon-generatorkostja94/marketing-skillsWhen the user wants to implement, optimize, or audit favicon and app icons. Also use when the user mentions "favicon," "app icon," "browser icon," "touch icon," "PWA icon," "favicon sizes," "apple-touch-icon," "favicon.ico," "site icon," or "tab icon." For visual system, use brand-visual-generator.BrowserNo warnings★ 1.1K↓ —
- popup-generatorkostja94/marketing-skillsDeprecated compatibility entry for Modal construction. This component is now maintained in Bricks; install and use component-builder to build a new Modal.OtherNo warnings★ 1.1K↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
deck-from-doc
mohitagw15856/pm-claude-skills
DocumentsUpdated 2 hours ago
From the author
Turn the user's REAL doc into a slide deck — open the source, structure the narrative, and build the actual .pptx — not slide-writing tips. Use when asked to make a deck from this doc, turn my brief into slides, build the presentation from my Drive doc, or deckify this in Cowork. Reads the document via the Google Drive/Docs connector, maps it to a one-idea-per-slide narrative, and produces a real presentation artifact (.pptx) with speaker notes plus a slide-by-slide outline.
Install
npx skills add mohitagw15856/pm-claude-skills --skill deck-from-doc -a claude-code
Installs to .claude/skills/deck-from-doc/ · 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
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- SKILL.md