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.
49,538 skills from 2,407 repositories · updated 33 minutes ago
49,536 skills
- write-outreachgooseworks-ai/goose-skillsCold outreach a person sends to business buyers: email and LinkedIn sequences, a first line per prospect, reply and objection answers, and a read of replies. Use when the marketer says "write a cold email sequence", "what do I send to this list", "write LinkedIn messages for these leads", "how do I reply to this prospect" or "handle this objection", "reply to this demo request", "win back or reconnect with accounts that churned or went quiet", or "why is nobody replying to my outreach". Drafts only; the marketer sends from their own tool. Not for finding the people — use research-audience; not for emails to subscribers or users, or consumer win-back — use email-lifecycle.WritingNo warnings★ 1.3K↓ —
- product-analyticsalirezarezvani/claude-skillsUse when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.DataNo warnings★ 29.3K↓ —
- inithashgraph-online/awesome-codex-pluginsInitialize team config for a project. Creates .agenteam/config.yaml (or legacy agenteam.yaml) and generates .codex/agents/*.toml.OtherNo warnings★ 1.5K↓ —
- code-revieweralirezarezvani/claude-skillsUse for any code review: a pull request, a diff, a commit, or a pasted function, handler or file in TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#/.NET, Java, C, C++, Rust, Ruby, PHP or Dart/Flutter. Applies per-language rule packs (security such as SQL injection and missing auth, async and resource handling, error handling, performance) and scripts that score a PR's risk and complexity, then gives a merge verdict with blocking and non-blocking findings. Use whenever the user asks to review, check or look over code, says 'code review', 'review this PR', 'review this diff' or 'is this safe to merge', or asks what is wrong with a snippet, even a single function.EngineeringNo warnings★ 29.3K↓ —
- ecommerce-video-adshashgraph-online/awesome-codex-pluginsEcommerce 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.MediaNo warnings★ 1.5K↓ —
- grantsalirezarezvani/claude-skillsUse for any NIH funding question ('find grants for my research', 'which NIH institute'). Maps the idea to institutes, study sections and NOSIs via RePORTER, matches mechanisms with mechanism_matcher.py and writes a .docx strategy. NIH only.DocumentsNo warnings★ 29.3K↓ —
- learn-my-brandgooseworks-ai/goose-skillsLearn my brand once and stop asking me every time. Use when someone says learn my brand, set up my brand, here's our brand book, remember how we talk, what can we claim, can we say this, approve our claims, sign off our voice, our price or product changed, the client approved the claims, pick up where we left off, or check our claims are still current. Reads what GooseWorks already found about the brand, asks only the gaps as drafts to confirm, audits every claim (including ones research marked approved) and gets the ones that matter signed off with proof, scope and review date, turns the voice into rules the owner confirms, checks logo, colours and fonts, and saves it all as it goes so every other job loads it instead of asking. Ends with an unknowns list and a read-back. Not for who our customers are and what they say (use research-audience) or writing positioning from scratch (not covered yet).ScienceNo warnings★ 1.3K↓ —
- 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★ 1.1K↓ —
- wrap-upalirezarezvani/claude-skillsUse when closing out a launched managed agent ('wrap up', 'what do I own now'). Inventories primitives with primitives_inventory.py, regenerates the overview with overview_page.py and suggests next upgrades with upgrade_suggester.py.OtherNo warnings★ 29.3K↓ —
- 02-ref-hallucination-arenaagentscope-ai/OpenJudgeBenchmark LLM reference recommendation capabilities by verifying every cited paper against Crossref, PubMed, arXiv, and DBLP. Measures hallucination rate, per-field accuracy (title/author/year/DOI), discipline breakdown, and year constraint compliance. Supports tool-augmented (ReAct + web search) mode. Use when the user asks to evaluate, benchmark, or compare models on academic reference hallucination, literature recommendation quality, or citation accuracy.ScienceNo warnings★ 1.1K↓ —
- nsdi-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an NSDI submission — choosing traces, testbeds, and deployment evidence, sizing scale and failure-injection experiments, picking baselines that fight back, and reporting tail behavior so networked-systems reviewers can see where the design wins, loses, and breaks.DevOpsNo warnings★ 1.4K↓ —
- judge-task-lifecyclesno-ai/sno-stationJudge how a memory changes active-task state and whether it refers to an existing task. Use for mem-claw task-lifecycle model calls.ProductivityNo warnings★ 1K↓ —
- plan-campaign-channel-decisiongooseworks-ai/goose-skillsStep of the plan-campaign playbook: marks each candidate channel Run, Test, Later or No with a brand-fact reason and founder hours. Run plan-campaign instead; not for direct use.MarketingNo warnings★ 1.3K↓ —
- sigir-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a SIGIR project calendar — backward-planning from the January-pattern abstract/paper deadlines to the July conference, sequencing evidence freeze, significance testing, and anonymization, coordinating multi-track decisions, and wiring the SIGIR/ECIR/CIKM/WSDM/SIGIR-AP fallback calendar into one pipeline.ProductivityNo warnings★ 1.4K↓ —
- itcs-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding what counts as evidence for an ITCS theory claim — proofs as the primary evidence, worked examples and separations that make a model concrete, and the rare, well-scoped illustrative computation or simulation — and how to keep any computational content checkable and subordinate to the mathematics.MediaNo warnings★ 1.4K↓ —
- ase-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when shaping the prose and structure of an ASE (IEEE/ACM Automated Software Engineering) research paper, covering the automation-first first-page arc, stating the automated task precisely, keeping the tool runnable and the model-swap test in mind, threats-as-argument, and the 10+2 page discipline on the ACM acmart template.WritingNo warnings★ 1.4K↓ —
- uai-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when splitting a UAI paper between the 8-page main part, the unlimited in-PDF appendix for proofs and protocols, and the optional 50 MB supplementary ZIP, deciding what reviewers must see in the body versus what may sit in material they are not required to read, all under double-blind and single-file constraints.DocumentsNo warnings★ 1.4K↓ —
- 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★ 4.9K↓ —
- returner-cvmohitagw15856/pm-claude-skillsWrite a CV for someone returning to work after a career break (caring, health, parenting, travel, redundancy or anything else), presenting the gap honestly and briefly and leading with current, relevant evidence. Use when asked how do I explain a gap on my CV, write my CV after a career break, returning to work after maternity or caring, or my CV has a two-year gap. Produces a CV with the break stated in one plain line, recent evidence brought forward, a short spoken answer for interviews, and a list of returnship programmes and refreshers worth checking.WritingNo warnings★ 1.5K↓ —
- 00-academic-routeragentscope-ai/OpenJudgeUse when the user wants help with academic papers or citations but it's unclear which specific workflow fits — reviewing a paper, checking a BibTeX file for fake references, or benchmarking multiple LLMs on reference-recommendation accuracy. Also use when the user mentions paper review, peer review, BibTeX verification, citation checking, reference hallucination, or academic literature accuracy and hasn't specified which of those three tasks they mean. This skill is the entry router for the academic-eval suite: it asks one diagnostic question then routes to the right sub-skill.ScienceNo warnings★ 1.1K↓ —
- parallelhashgraph-online/awesome-codex-pluginsBuild a planned game with several agents at once — game logic and netcode, levels, art, sound, the landing page — each in its own folders, then one merge, a two-browser check, a playtest and a blind review. Use only when parallel work is requested and the host supports it. Use after the plan step, or when someone asks to "build it in parallel", "use more agents", "split the work" or "go faster".DesignNo warnings★ 1.5K↓ —
- cikm-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning a CIKM submission against three literatures at once — retrieval, mining, and knowledge management/databases — building the boundary-work paragraph, guarding against misattributing SIGIR/KDD/ICDM classics to CIKM, and handling preprints under the arXiv-declaration and dual-submission rules.ScienceNo warnings★ 1.4K↓ —
- react-doctoramplifthq/openmeldUse when the user requests React Doctor or a React code-health audit, or when a concrete React diagnostic question would benefit from its scan. Not a default step after React changes or before committing.EngineeringNo warnings★ 1.4K↓ —
- apple-designhashgraph-online/awesome-codex-pluginsUse when the user asks for SwiftUI, UIKit, AppKit, iOS, iPadOS, macOS, watchOS, visionOS, Liquid Glass, HIG, SF Symbols, App Store deliverables, Apple settings/forms, branded Apple apps, React Native iOS, Flutter Cupertino, or Electron/Tauri macOS shells. Builds Apple-platform apps across system-like SwiftUI, branded SwiftUI, React Native, Flutter Cupertino, and desktop web shells while preserving UX decisions, native idiom, desktop archetype, originality seed, state coverage, Dynamic Type, accessibility, and HIG/Liquid Glass rules. ALWAYS ask which track first. SKIP when the target is only Android, Windows, or web-in-browser.DesignNo warnings★ 1.5K↓ —
make-static-ads-concept-grid
gooseworks-ai/goose-skills
MarketingUpdated Oct 27, 2026
From the author
Step of make-static-ads: turns the chosen angles into messages, visual ideas and a template per ad, checks each against the brand profile and recent ads, writes the concept board and has a fresh critic attack it before any copy, prompt or spend. Run make-static-ads instead; not for direct use.
Install
npx skills add gooseworks-ai/goose-skills --skill make-static-ads-concept-grid -a claude-code
Installs to .claude/skills/make-static-ads-concept-grid/ · 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
Provenance77
Maintenance100
Licence100
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Files (2)
- SKILL.md
- skill.meta.json