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.
49,395 skills from 2,375 repositories · updated 20 minutes ago
49,393 skills
- reddit-automationdavepoon/buildwithclaudeAutomate Reddit tasks via Rube MCP (Composio): search subreddits, create posts, manage comments, and browse top content. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- doca-flow-tuneNVIDIA/skillsUse this skill when the user is tuning a live or captured `doca-flow` pipeline with `doca_flow_tune` — snapshotting pipe / counter / KPI state, picking a tuning axis (rule placement, resource hints / table sizing, HW-offload mode) and a matching measurement (rule-install rate, lookup latency, hardware-counter delta), running offline or online (read-only or state-changing) modes, reading the dumper CSV / analyze JSON / visualize mermaid, or applying a recommendation back into the Flow program. Trigger even when the user does not explicitly mention "doca_flow_tune" — typical implicit phrasings include "Flow rule-install rate is low on BlueField", "table sizing looks wrong for this pipe", "tune visualize step is empty", "before/after counters don't move", or "which doca-flow knob does this recommendation hit". Refuse and route elsewhere for writing the doca-flow application, DOCA install, or streaming Flow telemetry — those belong to other skills.DataNo warnings★ 3.8K↓ —
- gemininowork-studio/notfair-pluginCross-model second opinion from Google Gemini — a different AI reviewing the same changes, with deep Google ecosystem knowledge. Three modes: review (pass/fail gate for Google Ads campaigns, SEO metadata, or code), challenge (adversarial stress-test that tries to break your changes), and consult (open Q&A with Gemini on Google Ads strategy, SEO best practices, or implementation questions). Use when the user says "gemini review", "ask gemini", "gemini challenge", "second opinion from gemini", "consult gemini", "stress test with gemini", "what would gemini say", "cross-model review", or "get another opinion". Voice aliases: "gem", "gemini check". Especially useful for Google Ads changes, SEO metadata updates, campaign structure decisions, keyword strategies, and bid/budget changes — Gemini has native Google ecosystem knowledge that complements Claude's analysis.TestingNo warnings★ 4.1K↓ —
- document-skillsforyourhealth111-pixel/Vibe-SkillsUmbrella skill for document workflows (PDF/DOCX/XLSX/PPTX). Dispatches to the most specific document skill to reduce noise and improve routing precision.DocumentsNo warnings★ 3.8K↓ —
- gtarsforyourhealth111-pixel/Vibe-SkillsHigh-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.ScienceNo warnings★ 3.8K↓ —Also in 2 other repos
- make-automationdavepoon/buildwithclaudeAutomate Make (Integromat) tasks via Rube MCP (Composio): operations, enums, language and timezone lookups. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- agentic-actions-auditortrailofbits/skillsAudits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI/CD pipelines, including env var intermediary patterns, direct expression injection, dangerous sandbox configurations, and wildcard user allowlists. Use when reviewing workflow files that invoke AI coding agents, auditing CI/CD pipeline security for prompt injection risks, or evaluating agentic action configurations.SecurityNo warnings★ 8K↓ —
- daskforyourhealth111-pixel/Vibe-SkillsParallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows.DataNo warnings★ 3.8K↓ —Also in 1 other repo
- gohighlevelnowork-studio/notfair-pluginOperate connected GoHighLevel CRM accounts through the NotFair MCP. Use for GoHighLevel, HighLevel, GHL contacts, conversations, opportunities, calendars, pipelines, tags, tasks, forms, invoices, products, or approved CRM changes.ProductivityNo warnings★ 4.1K↓ —
- yeetforyourhealth111-pixel/Vibe-SkillsUse only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).EngineeringNo warnings★ 3.8K↓ —Also in 1 other repo
- serenity-skillmuxuuu/serenity-skillResearch technology and advanced-manufacturing investments using Serenity-inspired supply-chain bottleneck analysis. Use for theme scans, company thesis challenges, candidate comparisons, or learning this method. Prioritize A-shares unless another market is requested. Return research priorities, dated evidence, profit implications, and conditions that would change the judgment.ScienceNo warnings★ 4.2K↓ —
- coda-automationdavepoon/buildwithclaudeAutomate Coda tasks via Rube MCP (Composio): manage docs, pages, tables, rows, formulas, permissions, and publishing. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- lindy-sdk-patternsjeremylongshore/tons-of-skills-marketplaceLindy integration patterns for webhook handling, HTTP actions, and Run Code. Use when building integrations, calling Lindy agents from code, or implementing the Run Code action with Python/JavaScript. Trigger with phrases like "lindy integration patterns", "lindy best practices", "lindy webhook patterns", "lindy Run Code", "lindy HTTP Request".EngineeringNo warnings★ 2.9K↓ —
- sepia-refactorNanako0129/sepiaUse when a user explicitly requests Sepia refactor for minimal in-place prose revision.EngineeringNo warnings★ 3.6K↓ —
- gsd:set-profiledavepoon/buildwithclaudeSwitch model profile for GSD agents (quality/balanced/budget/inherit)OtherNo warnings★ 3.7K↓ —
- standupthedotmack/claude-memFacilitate a read-only standup across git worktrees, branches, or PRs to compare changes and produce one consolidation plan.PlanningNo warnings★ 111.4K↓ —
- cuopt-installNVIDIA/skillsInstall cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.DevOpsNo warnings★ 3.8K↓ —
- speckit-analyzeforyourhealth111-pixel/Vibe-SkillsPerform cross-artifact consistency analysis across spec.md, plan.md, and tasks.md. Use after task generation to identify gaps, duplications, and inconsistencies before implementation.PlanningNo warnings★ 3.8K↓ —
- doca-commonNVIDIA/skillsUse this skill whenever the user is doing hands-on DOCA programming on a BlueField DPU or ConnectX NIC and needs the foundation primitives every per-library context rests on — walking the doca_ctx lifecycle, discovering doca_dev / doca_devinfo and gating on doca_*_cap_* before trusting a feature, wiring doca_mmap / doca_buf_inventory / doca_buf for zero-copy I/O across libraries, driving doca_pe for completions, or DOCA Log's two-tier (--sdk-log-level vs app-side) model. Trigger even when the user does not say "DOCA Common" — typical implicit phrasings include "my tasks submit but nothing completes", "DOCA_ERROR_BAD_STATE from doca_ctx_start", "--sdk-log-level does nothing for my DOCA_LOG_DBG lines", "share a buf between doca_dma and doca_rdma", or "crashes far from the offending line". Refuse and route elsewhere for per-library questions in isolation (load doca-flow / doca-rdma / doca-eth alongside), installing DOCA (doca-setup), or doc lookup (doca-public-knowledge-map).ProductivityNo warnings★ 3.8K↓ —
- 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↓ —
- sepia-recreateNanako0129/sepiaUse when a user explicitly requests Sepia recreate for a full rewrite.OtherNo warnings★ 3.6K↓ —
- lindy-hello-worldjeremylongshore/tons-of-skills-marketplaceCreate your first Lindy AI agent with a real trigger and action. Use when starting with Lindy, testing your setup, or learning basic agent workflow patterns. Trigger with phrases like "lindy hello world", "lindy example", "lindy quick start", "simple lindy agent", "first lindy".TestingNo warnings★ 2.9K↓ —
- statsmodelsforyourhealth111-pixel/Vibe-SkillsStatistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.TestingNo warnings★ 3.8K↓ —
- prisma-database-setupprisma/skillsDeprecated compatibility name for prisma-orm-setup. Use only when a user or existing integration explicitly invokes prisma-database-setup; otherwise select prisma-orm-setup.OfficialDataNo warnings★ 79↓ —
vaex
foryourhealth111-pixel/Vibe-Skills
DataUpdated 3 hours ago
From the author
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.
Install
npx skills add foryourhealth111-pixel/Vibe-Skills --skill vaex -a claude-code
Installs to .claude/skills/vaex/ · 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 90
Security100
Provenance83
Maintenance100
Licence100
Adoption57
Files (7)
- SKILL.md
- references/core_dataframes.md
- references/data_processing.md
- references/io_operations.md
- references/machine_learning.md
- references/performance.md
- references/visualization.md