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.
49,409 skills from 2,375 repositories · updated 48 minutes ago
49,407 skills
- kiro-spec-statusgotalab/cc-sddShow specification status and progressPlanningNo warnings★ 3.8K↓ —
- kiro-spec-designgotalab/cc-sddGenerate comprehensive technical design translating requirements (WHAT) into architecture (HOW) with discovery process. Use when creating architecture from requirements.DesignNo warnings★ 3.8K↓ —
- entry-point-analyzertrailofbits/skillsAnalyzes smart contract codebases to identify state-changing entry points for security auditing. Detects externally callable functions that modify state, categorizes them by access level (public, admin, role-restricted, contract-only), and generates structured audit reports. Excludes view/pure/read-only functions. Use when auditing smart contracts (Solidity, Vyper, Solana/Rust, Move, TON, CosmWasm) or when asked to find entry points, audit flows, external functions, access control patterns, or privileged operations.SecurityNo warnings★ 8K↓ —
- kiro-validate-designgotalab/cc-sddInteractive technical design quality review and validationDesignNo warnings★ 3.8K↓ —
- tao-finetune-kumo-anomalyNVIDIA/skillsKumo-Anomaly — diffusion-based anomaly detection and fine-tuning for multivariate time series. Use when the user asks to "fine-tune Kumo-Anomaly", "run Kumo-Anomaly inference", "detect anomalies with diffusion", "time series anomaly detection", "finetune Kumo-Anomaly", "use perform_anomaly_analysis_with_diffusion", "automl Kumo-Anomaly", "hyperparameter search Kumo-Anomaly", "hyperparameter optimization" or mentions "curriculum_medium.yaml", "final_model.pth", "kumo-anomaly", "sdk/anomaly_analysis", or "TSDiffuser_Generic".OtherNo warnings★ 3.8K↓ —
- negotiatejeremylongshore/tons-of-skills-marketplaceUse when preparing clause-linked contract counterproposals, fallback positions, or a negotiation email draft from supplied terms and commercial priorities. Trigger with /negotiate or generate counter-proposals for this contract.LegalNo warnings★ 2.9K↓ —
- doca-benchNVIDIA/skillsRun `doca_bench` (DOCA 2.7.0 or newer) to measure throughput, bulk latency, precision latency, or maximum bandwidth for RDMA, Compress, AES-GCM, SHA, DMA, EC, Ethernet, Comch, or GPUNetIO on a host or BlueField Arm. Use it to discover enabled benchmark libraries, capture a reproducible command/version/device/environment baseline, compare stable runs against a declared tolerance, or diagnose configuration, device-binding, workload-precondition, and measurement failures. Trigger for requests such as measuring BlueField compression speed, NIC RDMA throughput, crypto latency, or a pre-upgrade baseline. Do not use for application end-to-end timing, custom benchmark code, DOCA installation, or binary patches.FinanceNo warnings★ 3.8K↓ —
- speckit-tasksforyourhealth111-pixel/Vibe-SkillsBreak down implementation plans into actionable task lists. Use after planning to create a structured task breakdown. Generates tasks.md with ordered, dependency-aware tasks.PlanningNo warnings★ 3.8K↓ —
- constant-time-analysistrailofbits/skillsDetects timing side-channel vulnerabilities in cryptographic code. Use when implementing or reviewing crypto code, encountering division on secrets, secret-dependent branches, or constant-time programming questions in C, C++, Go, Rust, Swift, Java, Kotlin, C#, PHP, JavaScript, TypeScript, Python, or Ruby.SecurityNo warnings★ 8K↓ —
- tao-list-capabilitiesNVIDIA/skillsAnswer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests. Use when the user asks "what can TAO Skill Bank do", "list TAO models", "which TAO workflows are available", or "what supports AutoML".OtherNo warnings★ 3.8K↓ —
- jetson-video-capabilityNVIDIA/skillsUse when Jetson codec, profile, chroma, bit-depth, dimension, engine-count, or operational support must be reconciled from live APIs, authenticated NVIDIA samples, and NVIDIA documentation; also applies the content-DRM scope.MediaNo warnings★ 3.8K↓ —
- 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↓ —
- metabolomics-workbench-databaseforyourhealth111-pixel/Vibe-SkillsAccess NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.DataNo warnings★ 3.8K↓ —
- testing-handbook-generatortrailofbits/skillsGenerates Claude Code skills from the Trail of Bits Testing Handbook (appsec.guide), analyzing handbook pages and emitting SKILL.md files with the structure each skill type requires. Use when creating or refreshing a skill from handbook content, or when the user names the testing handbook or appsec.guide. Not for answering security testing questions — the generated skills cover those.TestingNo warnings★ 8K↓ —
- physicsnemo-shard-tensorNVIDIA/skillsOfficial NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and register shard patches to enable new layers/ops, and bootstrap multi-GPU correctness tests. Use when working with ShardTensor, scatter_tensor, domain parallelism, sequence/spatial sharding, ring attention, DeviceMesh + DDP/FSDP2 hybrid parallelism, or physicsnemo.domain_parallel. Do NOT use for generic PyTorch DDP/FSDP setup without domain parallelism, picking a PhysicsNeMo model or example (use physicsnemo-discover), or non-distributed training questions.TestingNo warnings★ 3.8K↓ —
- benchmark-checklistmichael-denyer/pstack-claudeVet a perf measurement (limiter, tuning, limits, errors, repeatability, relevance, and whether the work happened) before you report or act on it. Use when you run a benchmark or report a speedup or regression you measured.OtherNo warnings★ 3.9K↓ —
- chrome-mcp-troubleshootingtrailofbits/skillsDiagnose and fix Claude in Chrome MCP extension connectivity issues. Use when mcp__claude-in-chrome__* tools fail, return "Browser extension is not connected", or behave erratically.BrowserNo warnings★ 8K↓ —
- principle-build-the-leverbacknotprop/pstackApply to any non-trivial work, not just bulk work: edits, migrations, analyses, checks. Build the tool that does it or proves it (codemod, script, generator, or a skill your subagents follow) instead of working by hand. The tool is the artifact a reviewer can rerun.WritingNo warnings★ 3.5K↓ —
- principle-fix-root-causesbacknotprop/pstackApply when debugging. Trace each symptom back to the first place the system went wrong and fix it there. A guard is a fix only when the state it handles is legitimate.EngineeringNo warnings★ 3.5K↓ —Also in 1 other repo
- typescript-best-practicesbacknotprop/pstackTypeScript best practices. Use when reading or editing any .ts or .tsx file.EngineeringNo warnings★ 3.5K↓ —
- principle-minimize-reader-loadmichael-denyer/pstack-claudeApply when reviewing or shaping code that's hard to trace. Count layers between question and answer, and hidden state in the reader's head; collapse one-caller wrappers and shrink mutable scope.EngineeringNo warnings★ 3.9K↓ —
- 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★ 3.5K↓ —Also in 3 other repos
- principle-model-the-domainbacknotprop/pstackApply when writing stateful logic, or when code branches a lot or repeats a shape assumption across files.WritingNo warnings★ 3.5K↓ —Also in 1 other repo
- principle-explain-the-numberbacknotprop/pstackApply before you measure, and before you trust, report, or act on a number you measured: a speedup, a regression, a throughput, a latency, or an eval result. Find what limits it, and rule out that it measured something other than the work you think.OtherNo warnings★ 3.5K↓ —
image-enhancer
davepoon/buildwithclaude
MediaUpdated 16 hours ago
From the author
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Install
npx skills add davepoon/buildwithclaude --skill image-enhancer -a claude-code
Installs to .claude/skills/image-enhancer/ · 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 (1)
- SKILL.md