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.
46,100 skills from 2,198 repositories · updated 14 hours ago
45,010 skills
- rag-evalNVIDIA/skillsFilesystem RAG benchmarks: corpus/, train.json, evaluate_rag.py (RAGAS quality). Not for prod monitoring, latency/throughput benchmarking (use rag-perf), or evals outside this repo layout.OtherNo warnings★ 3.8K↓ —
- ctf-cryptoljagiello/ctf-skillsProvides cryptography attack techniques for CTF challenges. Use when attacking encryption, hashing, signatures, ZKP, PRNG, or mathematical crypto problems involving RSA, AES, ECC, lattices, LWE, CVP, number theory, Coppersmith, Pollard, Wiener, padding oracle, GCM, key derivation, or stream/block cipher weaknesses.FinanceNo warnings★ 3.6K↓ —
- ops-settingsdavepoon/buildwithclaudePost-setup credential manager. Shows current integration status (configured/missing/expired) and lets you update individual credentials without re-running the full setup wizard. Runs a smoke test after each update.TestingNo warnings★ 3.7K↓ —
- hive.terminal-tools-pty-sessionsaden-hive/hiveUse when you need state across calls — building env vars, navigating with cd, driving REPLs (python -i, mysql, psql, node), or responding to interactive prompts (sudo password, ssh host-key confirmation, mysql connection). Teaches the prompt-sentinel exec pattern (default mode), raw I/O for REPLs (raw_send=True then read_only=True), the one-in-flight-per-session rule, and the close-or-leak-against-the-cap discipline. Bash on macOS — never zsh; explicit shell=/bin/zsh is rejected. Read before calling terminal_pty_open.DataNo warnings★ 11.1K↓ —
- instrument-data-to-allotropeanthropics/knowledge-work-pluginsConvert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.OfficialDataNo warnings★ 33.8K↓ —
- ops-projectsdavepoon/buildwithclaudePortfolio dashboard for all GSD-tracked projects. Scans ~/Projects and ~/gsd-workspaces for .planning/ directories, shows phase status, git state, blockers, and next actions for every project. Run /ops projects to see the full portfolio.PlanningNo warnings★ 3.7K↓ —
- clari-debug-bundlejeremylongshore/tons-of-skills-marketplaceAnalyze a Clari incident and collect a minimal support bundle with job timelines, contract fingerprints, and secret-safe evidence. Use when escalating a provider or pipeline failure. Trigger with: "collect Clari diagnostics", "build a Clari support bundle", "redact a Clari incident".EngineeringNo warnings★ 2.9K↓ —
- abridge-hello-worldjeremylongshore/tons-of-skills-marketplaceRun a bounded Abridge smoke test through the documented user workflow using an approved test encounter and no invented API. Use when validating a new tenant or pilot cohort. Trigger with "smoke test Abridge".TestingNo warnings★ 2.9K↓ —
- attio-install-authjeremylongshore/tons-of-skills-marketplaceChoose and configure Attio REST authentication for a single workspace or multi-workspace OAuth app, including least-privilege scopes and a read-only verification. Use when connecting a service to Attio. Trigger with "Attio auth", "Attio API key", or "Attio OAuth setup".EngineeringNo warnings★ 2.9K↓ —
- golang-dependency-injectionsamber/cc-skills-golangComprehensive guide for dependency injection (DI) in Golang. Covers why DI matters (testability, loose coupling, separation of concerns, lifecycle management), manual constructor injection, and DI library comparison (google/wire, uber-go/dig, uber-go/fx, samber/do). Use this skill when designing service architecture, setting up dependency injection, refactoring tightly coupled code, managing singletons or service factories, or when the user asks about inversion of control, service containers, or wiring dependencies in Go. For a specific DI library, → See `samber/cc-skills-golang@golang-google-wire`, `samber/cc-skills-golang@golang-uber-dig`, `samber/cc-skills-golang@golang-uber-fx`, or `samber/cc-skills-golang@golang-samber-do` skills.PlanningNo warnings★ 3.7K↓ —
- report-regressionstrailofbits/skillsUse when assembling or refreshing an evidence-linked regression report from saved campaign decisions.MarketingNo warnings★ 7.9K↓ —
- envelope-teamdavepoon/buildwithclaudeDesign and generate .envelope.json AI agent team definitions — the open standard for multi-agent teams with hierarchy, access policies, human-in-the-loop gates, and cron schedules.DesignNo warnings★ 3.7K↓ —Also in 1 other repo
- sentry-rate-limitsjeremylongshore/tons-of-skills-marketplaceManage Sentry rate limits, quotas, and event volume optimization. Use when hitting 429 errors, tuning sampleRate/tracesSampleRate, filtering noisy browser errors with beforeSend, configuring inbound data filters, setting per-key rate limits, or monitoring quota usage via the Sentry stats API. Trigger: "sentry rate limit", "sentry quota", "reduce sentry events", "sentry 429", "sentry spike protection", "sentry sampling".BrowserNo warnings★ 2.9K↓ —
- navan-cost-tuningjeremylongshore/tons-of-skills-marketplaceAnalyze Navan travel, expense, integration, and operating costs without freezing mutable prices. Use when setting budgets or evaluating workflow tradeoffs. Trigger with "reduce Navan cost", "Navan budget", or "control travel spend".ProductivityNo warnings★ 2.9K↓ —
- capturedavepoon/buildwithclaudeSave a memory to Origin in flow. Active capture verb — use proactively when the user states a preference, makes a decision, corrects you, or shares a durable fact. Invoked as `/capture <content>`.ProductivityNo warnings★ 3.7K↓ —
- kiro-steeringgotalab/cc-sddMaintain {{KIRO_DIR}}/steering/ as persistent project memory (bootstrap/sync). Use when initializing or updating steering documents.ProductivityNo warnings★ 3.7K↓ —
- kiro-steering-customgotalab/cc-sddCreate custom steering documents for specialized project contextsPlanningNo warnings★ 3.7K↓ —
- principle-experience-firstbacknotprop/pstackApply when product, UX, or feature-scope tradeoffs come up. Choose user delight over implementation convenience; ship fewer polished features over more rough ones.DesignNo warnings★ 3.1K↓ —Also in 3 other repos
- nvidia-appNVIDIA/skillsNVIDIA App MCP: drivers, games, laptops, overlay. Check drivers, manage and optimize games, configure laptop features.OtherNo warnings★ 3.8K↓ —
- splitting-datasetsjeremylongshore/tons-of-skills-marketplaceProcess split datasets into training, validation, and testing sets for ML model development. Use when requesting "split dataset", "train-test split", or "data partitioning". Trigger with relevant phrases based on skill purpose.TestingNo warnings★ 2.9K↓ —
- gsd:research-phasedavepoon/buildwithclaudeResearch how to implement a phase (standalone - usually use /gsd:plan-phase instead)ScienceNo warnings★ 3.7K↓ —
- shapforyourhealth111-pixel/Vibe-SkillsModel interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.EngineeringNo warnings★ 3.8K↓ —Also in 1 other repo
- skyverndavepoon/buildwithclaudeAI-powered browser automation — navigate sites, fill forms, extract structured data, log in with stored credentials, and build reusable multi-step workflows using natural language. Install: pip install skyvern && skyvern setupBrowserNo warnings★ 3.7K↓ —
- cold-outbound-sequenceraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "build a B2B cold-outbound sequence", "design reply-triage branching", "plan a domain warmup / sending throttle", or "make my outbound CAN-SPAM / opt-in compliant"; produces a multi-step outbound sequence with reply-triage branches (positive / objection / referral / not-now / opt-out), a warmup + send-throttle ramp schedule, jurisdiction opt-in/CAN-SPAM guardrails (guidance, not legal advice), and a SEND S-dimension read. Not for B2C lifecycle flows — use email-sequence-designer; not for the consent record — use consent-registry; not for computing EQS — use email-quality-auditor. B2B冷启动外联序列/回复分流/域名预热DesignNo warnings★ 3K↓ —
groq-hello-world
jeremylongshore/tons-of-skills-marketplace
From the author
Create 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".
Install
npx skills add jeremylongshore/tons-of-skills-marketplace --skill groq-hello-world -a claude-code
Installs to .claude/skills/groq-hello-world/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Safety checks on SKILL.md
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Files (3)
- SKILL.md
- references/examples.md
- references/models-and-response.md