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.
49,492 skills from 2,391 repositories · updated 12 hours ago
48,451 skills
- analyze-driversmicrosoft/power-platform-skillsUse when seeking explanatory attributes or hypotheses for differences in process duration, waiting, utilization or rework.OtherNo warnings★ 1.1K↓ —
- analyze-objectsmicrosoft/power-platform-skillsUse when analyzing interacting object types, object-centric processes, leading-object executions or cross-object delay.OtherNo warnings★ 1.1K↓ —
- shiphashgraph-online/awesome-codex-pluginsUse when all plan tasks are done and green to review, archive planning artifacts, and ask how to finish.PlanningNo warnings★ 1.5K↓ —
- arcmirahashgraph-online/awesome-codex-pluginsAnswers what YouTube shows and podcasts said: transcripts, who was mentioned, sponsors, recommendations, momentum. Use for the arcmira MCP server or CLI.EngineeringNo warnings★ 1.5K↓ —
- compare-cohortsmicrosoft/power-platform-skillsUse when comparing process cohorts, departments, periods or before-and-after results under matched definitions.OtherNo warnings★ 1.1K↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- stripe-best-practicesfcakyon/claude-codex-settingsGuides Stripe integration decisions across development and test environment planning (separate sandboxes vs the shared test mode sandbox), API selection (Checkout Sessions vs PaymentIntents), Connect platform setup (Accounts v2, controller properties), billing/subscriptions, tax and registrations (Stripe Tax, automatic_tax, product tax codes), Treasury financial accounts, integration options (Checkout, Payment Element), migrating from deprecated Stripe APIs, and security best practices (API key management, API key permissions, webhooks, OAuth). Use when planning, building, modifying, testing, or reviewing any Stripe integration, including choosing a development environment, accepting payments, building marketplaces, integrating Stripe, processing payments, setting up subscriptions, collecting sales tax, VAT, or GST, creating connected accounts, or implementing secure key handling.SecurityNo warnings★ 1.2K↓ —
- 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↓ —
- 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
- spec-to-repoalirezarezvani/claude-skillsUse when the user says 'build me an app', 'create a project from this spec', 'scaffold a new repo', 'generate a starter', 'turn this idea into code', 'bootstrap a project', 'I have requirements and need a codebase', or provides a natural-language project specification and expects a complete, runnable repository. Stack-agnostic: Next.js, FastAPI, Rails, Go, Rust, Flutter, and more.PlanningNo warnings★ 29.3K↓ —
- 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↓ —
- 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↓ —
product-demand-research
ScrapeCreators/social-media-research-skills
ScienceUpdated Aug 26, 2026
From the author
Use when the user wants to validate a product idea, find pain points, mine demand signals, discover objections, or gather voice-of-customer language from Reddit, social posts, video transcripts, and comments. Produces evidence-backed product research.
Install
npx skills add ScrapeCreators/social-media-research-skills --skill product-demand-research -a claude-code
Installs to .claude/skills/product-demand-research/ · 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
Provenance84
Maintenance85
Licence100
Adoption58
Files (1)
- SKILL.md