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.
14,533 skills from 417 repositories · updated 20 hours ago
892 skills
- groq-hello-worldjeremylongshore/tons-of-skills-marketplaceCreate a minimal working Groq chat completion example. Use when starting a new Groq integration, testing your setup after installing the SDK, or learning the basic Groq API request/response pattern before building something larger. Trigger with phrases like "groq hello world", "groq example", "groq quick start", "simple groq code".TestingNo warnings★ 2.9K↓ —
- canva-load-scalejeremylongshore/tons-of-skills-marketplaceDesign a mock-first Canva capacity test and a tightly authorized provider probe. Use when sizing queues, workers, token-refresh serialization, or endpoint concurrency without inventing universal quotas. Trigger with: "load test Canva", "size Canva workers", "Canva capacity plan".TestingNo warnings★ 2.9K↓ —
- miro-hello-worldjeremylongshore/tons-of-skills-marketplaceDesign and implement a bounded, read-only Miro connectivity probe that proves authorization context before writes are enabled. Use when smoke-testing a new Miro integration. Trigger with "test Miro connection".TestingNo warnings★ 2.9K↓ —
- pathway-enrichmentK-Dense-AI/scientific-agent-skillsPerforms pathway and gene-set enrichment analysis on gene lists or ranked gene data and interprets the results. Used when the user has a set of genes (differentially expressed genes from PyDESeq2/Scanpy, CRISPR-screen hits, cluster marker genes, proteomics hits) and wants to know which biological pathways, GO terms, or gene sets are over-represented or enriched. Covers over-representation analysis (ORA / Enrichr / Fisher / hypergeometric), ranked Gene Set Enrichment Analysis (GSEA / preranked), single-sample scoring (ssGSEA/GSVA), and functional profiling via gseapy, g:Profiler, Enrichr libraries, MSigDB, GO, KEGG, Reactome, and WikiPathways — plus gene-ID mapping, choosing the right background universe, multiple-testing correction, redundancy reduction, dotplots/enrichment maps, and publication-ready tables. Use this for "pathway analysis", "enrichment analysis", "GO enrichment", "KEGG/Reactome pathways", "GSEA", "over-representation", "functional annotation", or "what pathways are my genes in".TestingNo warnings★ 53.8K↓ —
- anth-hello-worldjeremylongshore/tons-of-skills-marketplaceCreate a minimal working Anthropic Claude Messages API example. Use when starting a new Claude integration, testing your setup, or learning basic Messages API patterns for text, vision, and streaming. Trigger with phrases like "anthropic hello world", "claude api example", "anthropic quick start", "simple claude code", "first messages api call".TestingNo warnings★ 2.9K↓ —
- ramp-hello-worldjeremylongshore/tons-of-skills-marketplaceVerify Ramp OAuth, environment, pagination, and monetary parsing with a bounded read-only transaction call. Use when checking credentials or preparing to enable a new integration. Trigger with "test Ramp connection" or "first Ramp API call".TestingNo warnings★ 2.9K↓ —
- apify-hello-worldjeremylongshore/tons-of-skills-marketplaceRun your first Apify Actor and retrieve results via apify-client. Use when starting a new Apify integration, testing connectivity, or learning the Actor call/dataset retrieval pattern. Trigger with "apify hello world", "apify example", "run an apify actor", "apify quick start", "first apify scrape".TestingNo warnings★ 2.9K↓ —
- anth-load-scalejeremylongshore/tons-of-skills-marketplaceImplement load testing, auto-scaling, and capacity planning for Claude API. Use when running performance benchmarks, planning for traffic spikes, or configuring horizontal scaling for Claude-powered services. Trigger with phrases like "anthropic load test", "claude scaling", "anthropic capacity planning", "scale claude api".TestingNo warnings★ 2.9K↓ —
- devil-advocatejeremylongshore/tons-of-skills-marketplaceConstructive critic and stress-tester for ideas and proposals. Use when the user needs to challenge assumptions, find weaknesses, anticipate objections, or strengthen an argument. Trigger with "challenge", "critique", "push back", "poke holes", "stress test", "what am I missing", or "play devil's advocate".TestingNo warnings★ 2.9K↓ —
- hex-hello-worldjeremylongshore/tons-of-skills-marketplaceCreate a minimal working Hex example. Use when starting a new Hex integration, testing your setup, or learning basic Hex API patterns. Trigger with phrases like "hex hello world", "hex example", "hex quick start", "simple hex code".TestingNo warnings★ 2.9K↓ —
- mocking-apisjeremylongshore/tons-of-skills-marketplaceGenerate mock API servers for testing and development with realistic response data. Use when creating mock APIs for development and testing. Trigger with phrases like "create mock API", "generate API mock", or "setup mock server".TestingNo warnings★ 2.9K↓ —
- cad-dxf-agentjeremylongshore/tons-of-skills-marketplaceAnalyzes DXF drawings deterministically — ADA/IBC code compliance, drawing health and QA, quantity takeoff, plain-English summaries, RFI generation, and room/zone detection — with no LLM or API key. Use when a user has a .dxf file and wants to check code compliance, audit drawing quality, pull quantities, summarize a drawing, generate RFIs, or detect rooms and areas. Trigger with "analyze this DXF", "check compliance", "drawing health", "quantity takeoff", "summarize this drawing", "generate RFIs", "detect zones", or "/cad-dxf-agent".TestingNo warnings★ 2.9K↓ —
- thought-partnerjeremylongshore/tons-of-skills-marketplaceCollaborative thinking partner for exploring ideas, challenges, and decisions. Use when the user needs to analyze ambiguity, test assumptions, or compare options. Trigger with "think through", "explore", "brainstorm", "help me figure out", or an open-ended strategy or priority question.TestingNo warnings★ 2.9K↓ —
- what-if-oracleK-Dense-AI/scientific-agent-skillsSupports structured what-if scenario analysis for research planning, experimental contingencies, and scientific project decisions. Explores favorable, reference, adverse, wild-card, contrarian, and second-order scenarios with explicit assumptions, evidence, and decision triggers. Use to stress-test a research plan under uncertainty; scenario narratives do not estimate causal effects or calibrated forecast probabilities.TestingNo warnings★ 53.8K↓ —
- attio-hello-worldjeremylongshore/tons-of-skills-marketplaceProve the smallest safe Attio REST connection by listing objects and validating the response envelope without changing CRM data. Use when checking a new token, workspace, or integration path. Trigger with "Attio hello world", "first Attio request", or "test Attio connection".TestingNo warnings★ 2.9K↓ —
- statistical-powerK-Dense-AI/scientific-agent-skillsCalculates sample sizes and statistical power for study planning. Applies when someone asks "how many subjects/samples/replicates do I need", wants an a priori power analysis, a minimum detectable effect (MDE), a power curve, or needs to justify a sample size for a grant, IRB protocol, or pre-registration. Covers closed-form power for t-tests, ANOVA, proportions, correlations, chi-square, and regression, plus simulation-based (Monte Carlo) power for complex designs — logistic/Poisson regression, mixed models, cluster-randomized trials, survival, and interactions. Also handles requests that only mention an effect size, alpha, or "80% power" without saying "power analysis" explicitly. For laying out the study (randomization, blocking, factorial/DOE, crossover, sequential designs) use experimental-design; for analyzing data already collected and reporting it use statistical-analysis.TestingNo warnings★ 53.8K↓ —
- adobe-load-scalejeremylongshore/tons-of-skills-marketplaceDerive a safe Adobe workload envelope from synthetic load, queue/backpressure behavior, current service constraints, spend, and output correctness. Use when the task requires adobe capacity and load envelope. Trigger with "load test Adobe", "scale Firefly jobs", or "Adobe capacity plan".TestingNo warnings★ 2.9K↓ —
- load-testing-apisjeremylongshore/tons-of-skills-marketplaceExecute comprehensive load and stress testing to validate API performance and scalability. Use when validating API performance under load. Trigger with phrases like "load test the API", "stress test API", or "benchmark API performance".TestingNo warnings★ 2.9K↓ —
- vercel-load-scalejeremylongshore/tons-of-skills-marketplaceLoad test and scale Vercel deployments with concurrency tuning and capacity planning. Use when running performance tests, planning for traffic spikes, or optimizing serverless function scaling on Vercel. Trigger with phrases like "vercel load test", "vercel scale", "vercel performance test", "vercel capacity", "vercel benchmark".TestingNo warnings★ 2.9K↓ —
- apollo-hello-worldjeremylongshore/tons-of-skills-marketplaceCreate a minimal working Apollo.io example. Use when starting a new Apollo integration, testing your setup, or learning basic Apollo API patterns. Trigger with phrases like "apollo hello world", "apollo example", "apollo quick start", "simple apollo code", "test apollo api".TestingNo warnings★ 2.9K↓ —
- migrate-to-rustgoogle/skillsClones, analyzes, plans, and migrates legacy codebases (C++, Fortran, Java, Python, C, Shell) from a GitHub URL or local directory to a modern, high-performance, deterministic, 100% Safe Rust architecture, tracking live telemetry across every task bucket, test failure/fix cycle, and Profile-Guided Optimization (PGO) stage, and producing a first-person AI storytelling report and interactive HTML infographic. Use when migrating a GitHub repository or local codebase to Rust, porting legacy C++, Fortran, Python, or Java workloads to memory-safe Rust, designing Struct-of-Arrays (SoA) or SIMD Rust architectures, or optimizing Rust ports with LLVM PGO. Don't use for unrelated non-Rust refactoring or single-line syntax questions.OfficialTestingNo warnings★ 21.5K↓ —
- pydeseq2K-Dense-AI/scientific-agent-skillsPerforms bulk RNA-seq differential expression analysis with PyDESeq2, including count validation, formula designs, explicit contrasts, Wald tests, FDR correction, coefficient-matched LFC shrinkage, and result visualization. Use for PyDESeq2 or Python DESeq2 workflows with biological replicates.TestingNo warnings★ 53.8K↓ —
- mirrord-cimetalbear-co/mirrordHelp users set up mirrord in CI pipelines for testing against real Kubernetes environments. Use when users want to run end-to-end tests, integration tests, or automated tests in CI using mirrord to connect to staging/shared clusters.TestingNo warnings★ 5.4K↓ —
- agent-platform-inferencegoogle/skillsConnects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama, DeepSeek, Qwen, etc.). Use when asked to perform inference, ask a model a question, run a test prompt, execute chat completions, or generate code for calling Gemini or OpenMaaS models, authenticate with GenAI SDK, OpenAI SDK, or legacy Agent Platform SDK, configure base URLs and global/regional endpoints, or troubleshoot 429 Resource Exhausted (DSQ), 400 User Validation, or 404 Not Found errors. Don't use for deploying models to endpoints or for running model evaluations.OfficialTestingNo warnings★ 21.5K↓ —