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.
48,168 skills from 2,325 repositories · updated 17 hours ago
48,168 skills
- lindy-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Lindy AI costs through credit management, model selection, and agent consolidation. Use when reducing spend, analyzing credit usage patterns, or optimizing budget allocation across agents. Trigger with phrases like "lindy cost", "lindy billing", "reduce lindy spend", "lindy budget", "lindy credits".OtherNo warnings★ 2.9K↓ —
- segment-automationdavepoon/buildwithclaudeAutomate Segment tasks via Rube MCP (Composio): track events, identify users, manage groups, page views, aliases, batch operations. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- neon-realtimeneondatabase/agent-skillsNeon Realtime makes any SQL query live. Build realtime, reactive apps and agents on Lakebase Postgres with live SQL queries and reactivity primitives. Use when app UI or agent state must update live from database rows (dashboards, feeds, collaboration, multi-user or multi-device sync), for optimistic mutations, or to replace polling or other realtime sync systems. Triggers include "live query", "subscribe", "sync engine", "useLiveQuery", "TanStack DB", "optimistic updates", "@neon/realtime". For push that doesn't come from database rows (presence, typing, LLM streams), use neon-functions.OfficialDataNo warnings★ 108↓ —Also in 1 other repo
- kiro-verify-completiongotalab/cc-sddVerify completion and success claims with fresh evidence. Use before claiming a task is complete, a fix works, tests pass, or a feature is ready for GO.TestingNo warnings★ 3.7K↓ —Also in 7 other repos
- 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↓ —
- hypothesis-testerjeremylongshore/tons-of-skills-marketplaceStructured hypothesis formulation, experiment design, and results interpretation for Product Managers. Use when the user needs to validate an assumption, design an A/B test, or evaluate results. Trigger with "hypothesis", "A/B test", "experiment", "validate assumption", "test this", or "should we ship".TestingNo warnings★ 2.9K↓ —
- golang-design-patternssamber/cc-skills-golangIdiomatic Golang design patterns — functional options, constructor APIs, `init()` and global-state avoidance, enums, panic vs error decisions, resource management and lifecycle, graceful shutdown, timeouts and retries, streaming and iterators, and architecture styles (clean, hexagonal, DDD, flat). Apply when choosing between architectural patterns, implementing functional options, designing constructor APIs, setting up graceful shutdown, applying resilience patterns, or asking which idiomatic Go pattern fits a specific problem. Not for wiring a DI container or comparing DI libraries (→ See `samber/cc-skills-golang@golang-dependency-injection` skill), nor for error wrapping, `errors.Is`/`As`, or logging mechanics (→ See `samber/cc-skills-golang@golang-error-handling` skill).DesignNo warnings★ 3.7K↓ —
- open-design-landingnexu-io/open-designProduce a world-class single-page editorial landing site in the Atelier Zero visual language (Monocle / Apartamento / Études editorial collage) — the same aesthetic OpenDesign uses for its own marketing surface. The agent fills a typed `inputs.json` from a brand brief, optionally generates 16 collage assets via gpt-image-2, then runs a pure-function composer that emits a self-contained HTML file. Drop-in scroll-reveal motion and a Headroom-style sticky nav are wired automatically.DesignNo warnings★ 105.1K↓ —
- hyperplancode-yeongyu/oh-my-openagentAdversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', 'adversarial plan', 'hostile planning', 'cross-critique plan', '하이퍼플랜', '적대적 계획', '교차 비평'.PlanningNo warnings★ 70.5K↓ —
- dialecticforyourhealth111-pixel/Vibe-SkillsMinimal compatibility wrapper for vibe Dialectic Mode (multi-perspective design analysis).DesignNo warnings★ 3.8K↓ —
- golang-stretchr-testifysamber/cc-skills-golangComprehensive guide to stretchr/testify for Golang testing. Covers assert, require, mock, and suite packages in depth. Use when writing tests with testify, creating mocks, setting up test suites, or choosing between assert and require. Covers testify assertions, mock expectations, argument matchers, call verification, suite lifecycle, and advanced patterns like Eventually, JSONEq, and custom matchers. Apply when the codebase imports github.com/stretchr/testify.TestingNo warnings★ 3.7K↓ —
- gsd:session-reportdavepoon/buildwithclaudeGenerate a session report with token usage estimates, work summary, and outcomesProductivityNo warnings★ 3.7K↓ —
- datamodel-code-generatordatamodel-code-generator/datamodel-code-generatorUse this skill when the user wants Python data models, Pydantic models, dataclasses, TypedDicts, msgspec structs, or type-safe Python classes generated from OpenAPI, AsyncAPI, JSON Schema, GraphQL, JSON/YAML/CSV sample data, MCP tool schemas, Protocol Buffers, XML Schema, Apache Avro, or existing Python model objects. Use it for requests such as "Pydantic models from this schema", "types for this API", "parse this JSON into classes", or "convert this spec into Python models". Prefer the datamodel-codegen CLI over hand-written model code whenever an input schema, API spec, sample data file, or Python model object exists.EngineeringNo warnings★ 4K↓ —
- verifying-external-behaviorkajisho5/ffmpeg-skillConfirms what a third-party library, remote API, build backend, or scraped document actually does before writing code that depends on it — throwaway probes that run in seconds, permissive clients that forward wrong arguments instead of rejecting them, per-endpoint docs that don't generalize, response shapes that make a "fast path" always-false, fakes that encode your assumption rather than the service's behavior, and dry-runs that skip the step that fails. Use when integrating a new dependency or endpoint, writing a tolerated-status or error branch, choosing a client argument name, testing against a fake, or reviewing code that asserts an upstream contract.TestingNo warnings★ 4.1K↓ —
- code-formatterjeremylongshore/tons-of-skills-marketplaceExecute automatically formats and validates code files using Prettier and other formatting tools. Use when users mention "format my code", "fix formatting", "apply code style", "check formatting", "make code consistent", or "clean up code formatting". Handles JavaScript, TypeScript, JSON, CSS, Markdown, and many other file types. Trigger with relevant phrases based on skill purpose.EngineeringNo warnings★ 2.9K↓ —
- vaexforyourhealth111-pixel/Vibe-SkillsUse 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.DataNo warnings★ 3.8K↓ —Also in 1 other repo
- jetson-print-device-infoNVIDIA/skillsUse when you need to print Jetson device info (module model, L4T version, kernel, OS version, current power mode) from a running Jetson target. This is an example skill.OtherNo warnings★ 3.8K↓ —
- evals-contextforyourhealth111-pixel/Vibe-SkillsProvides context about the Roo Code evals system structure in this monorepo. Use when tasks mention "evals", "evaluation", "eval runs", "eval exercises", or working with the evals infrastructure. Helps distinguish between the evals execution system (packages/evals, apps/web-evals) and the public website evals display page (apps/web-roo-code/src/app/evals).ProductivityNo warnings★ 3.8K↓ —
- distilldavepoon/buildwithclaudeSynthesize wiki pages from related memories. One endpoint, one flow: daemon clusters and synthesizes what it can; agent finishes whatever the daemon couldn't (no LLM or cluster too big). Invoked as `/distill [target]`.OtherNo warnings★ 3.7K↓ —
- ctf-ai-mlljagiello/ctf-skillsProvides AI and machine learning techniques for CTF challenges. Use when attacking ML models, crafting adversarial examples, performing model extraction, prompt injection, membership inference, training data poisoning, fine-tuning manipulation, neural network analysis, LoRA adapter exploitation, LLM jailbreaking, or solving AI-related puzzles.OtherNo warnings★ 3.6K↓ —
- contract-reviewjeremylongshore/tons-of-skills-marketplaceUse when reviewing a supplied contract for clause meaning, obligations, risks, missing protections, and regulatory questions. Produces an evidence-linked executive report with actual document coverage. Trigger with /contract-review or review this contract.LegalNo warnings★ 2.9K↓ —
- yt-ideationjeremylongshore/tons-of-skills-marketplaceGenerate filmable YouTube video ideas, explain their evidence and priority, and save user selections for briefing. Use when planning content from research or a topic. Trigger with "video ideas", "what should I make next" or "brainstorm videos".MediaNo warnings★ 2.9K↓ —
- property-based-testingforyourhealth111-pixel/Vibe-SkillsProperty-based testing with fast-check (TypeScript/JavaScript) and Hypothesis (Python). Generate test cases automatically, find edge cases, and test mathematical properties. Use when user mentions property-based testing, fast-check, Hypothesis, generating test data, QuickCheck-style testing, or finding edge cases automatically.TestingNo warnings★ 3.8K↓ —
- gsd:research-phasedavepoon/buildwithclaudeResearch how to implement a phase (standalone - usually use /gsd:plan-phase instead)ScienceNo warnings★ 3.7K↓ —
security-research
code-yeongyu/oh-my-openagent
From the author
Team Mode security research skill. Orchestrates 3 vulnerability hunters and 2 PoC engineers to audit a codebase in parallel, prove exploitability, classify root causes, and calibrate severity by actual exploitability. Use for security review, vulnerability research, exploitability audit, pre-release security check, threat model validation, and `/security-research`. Triggers: 'security-research', 'security research', 'security review', 'vulnerability audit', 'exploitability audit', '보안 리뷰', '취약점 감사'.
Install
npx skills add code-yeongyu/oh-my-openagent --skill security-research -a claude-code
Installs to .claude/skills/security-research/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (Custom or unclear) does not let us redistribute its files. The install commands fetch them from GitHub instead.
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