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 20 minutes ago
48,168 skills
- performance-analyzeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "analyze influencer campaign performance", "compare influencers", or "find what content worked"; produces metric scorecards vs target and benchmark, platform/influencer/content rankings, engagement-quality and sentiment reads, conversion-attribution breakdowns, and ranked learnings. Not for dollar-level return math — use roi-calculator. 达人营销效果分析/投放复盘MarketingNo warnings★ 3K↓ —
- poster-heroZJU-REAL/Easel生成 1080×1920 竖版营销海报，包含大标题、核心卖点和可选二维码，适合产品发布、活动宣传与朋友圈传播。当用户说“做竖版营销海报、活动宣传图、朋友圈海报、产品发布海报”时使用。横版金句卡用 card-quote，小红书知识卡用 card-xiaohongshu。OtherNo warnings★ 4.2K↓ —
- wiki-stage-commitAr9av/obsidian-wikiReview staged wiki writes and promote accepted pages to final locations when WIKI_STAGED_WRITES is enabled. Use for staging approval/commit; rejected pages return to _raw/ for editing.EngineeringNo warnings★ 3.6K↓ —
- nvshmem-tune-performanceNVIDIA/skillsRoute NVSHMEM tuning to data collection, remote transport, NIC-to-PE mapping, or TMA. Do not use for unrelated CUDA, NCCL, or application tuning.OtherNo warnings★ 3.8K↓ —
- ad-account-auditoraaron-he-zhu/aaron-marketing-skillsUse when auditing a paid ad account for incremental contribution, wasted spend, or measurement integrity before scaling; runs a typed 20-item ROAS profile with verified vetoes and a SHIP/FIX/BLOCK/UNDECIDED gate on own exported data. Not for campaign structure design — use campaign-architect; not for creative production — use ad-creative-builder. 付费广告账户审计/ROAS评分MarketingNo warnings★ 3K↓ —
- image-enhanceZJU-REAL/Easel图片增强 / 放大 / 变清晰：高质量放大（Lanczos 2x/4x）+ 去噪 + 锐化 + 自动对比度/饱和度，改善偏糊、偏暗、噪点多的图片。当用户说 图片放大、图片变清晰、提高清晰度、图片增强、去噪点、锐化、图片太糊了、放大到高清、提升画质、优化图片、图片调亮调色 时使用。基于 shared/scripts/img_enhance.py（Pillow+OpenCV）。注意：这是传统增强非 AI 超分，凭空生成细节请用 ai-image-gen 图生图。与 image-editing 区别：那个做缩放/裁切/水印等常规操作，本 SKILL 专做画质提升。MediaNo warnings★ 4.2K↓ —
- golang-namingsamber/cc-skills-golangGo (Golang) naming conventions — covers packages, constructors, structs, interfaces, constants, enums, errors, booleans, receivers, getters/setters, functional options, acronyms, test functions, and subtest names. Use this skill when writing new Go code, reviewing or refactoring, choosing between naming alternatives (New vs NewTypeName, isConnected vs connected, ErrNotFound vs NotFoundError, StatusReady vs StatusUnknown at iota 0), debating Go package names (utils/helpers anti-patterns), or asking about Go naming best practices. Also trigger when the user mentions MixedCaps vs snake_case, ALL_CAPS constants, Get-prefix on getters, or error string casing. Do NOT use for general Go implementation questions that don't involve naming decisions.TestingNo warnings★ 3.7K↓ —
- token-integration-analyzertrailofbits/skillsToken integration and implementation analyzer based on Trail of Bits' token integration checklist. Analyzes token implementations for ERC20/ERC721 conformity, checks for 20+ weird token patterns, assesses contract composition and owner privileges, performs on-chain scarcity analysis, and evaluates how protocols handle non-standard tokens. Use when integrating or accepting arbitrary ERC20/ERC721 tokens, auditing a token implementation for standards conformity, or assessing risk from weird tokens such as fee-on-transfer, rebasing, missing return values, or blocklists.LegalNo warnings★ 7.9K↓ —
- ramp-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect a minimal, safe Ramp API diagnostic bundle centered on trace IDs and reproducible contract evidence. Use when escalating a persistent API, webhook, deferred-task, or accounting failure. Trigger with "Ramp debug bundle" or "Ramp support evidence".EngineeringNo warnings★ 2.9K↓ —
- audio-editingZJU-REAL/Easel通用音频处理：音频剪辑/裁剪、格式转码（mp3/wav/m4a/aac）、音量归一化、从视频提取音轨、多段拼接、淡入淡出、变速（保音高）。当用户说“剪音频”“裁一段”“转成 mp3”“调音量/响度”“提取音轨/扒音频”“拼接音频”“淡入淡出”“加速/减速音频”“变速不变调”时使用。与 audio-denoise 的区别：audio-denoise 专做降噪，audio-editing 做除降噪外的通用音频操作（也内置 denoise 作为兜底）。MediaNo warnings★ 4.2K↓ —
- session-searchAr9av/obsidian-wikiSearch the session-brain graph for a past agent session by topic and load the winning transcript into the current conversation. Use for finding which session handled X, when Y was last worked on, or whether this was done before. Read-only; requires a session-brain graph.OtherNo warnings★ 3.6K↓ —
- validate-skillmdjeremylongshore/tons-of-skills-marketplaceValidate and grade SKILL.md files with the marketplace rubric, static production checks, and optional J-Rig behavioral evidence. Use when creating a skill, checking quality, preparing a marketplace submission, or reviewing evaluation results. Trigger with "validate this skill", "grade my skill", "deep eval", "check SKILL.md", or "/validate-skillmd".OtherNo warnings★ 2.9K↓ —
- apollo-rate-limitsjeremylongshore/tons-of-skills-marketplaceImplement Apollo.io rate limiting and backoff. Use when handling rate limits, implementing retry logic, or optimizing API request throughput. Trigger with phrases like "apollo rate limit", "apollo 429", "apollo throttling", "apollo backoff", "apollo request limits".EngineeringNo warnings★ 2.9K↓ —
- i4h-workflow-setupNVIDIA/skillsPreflight and set up the root-level workflow runtime. Use for installation, missing component environments, or third-party failures; do not use for rollout validation.ProductivityNo warnings★ 3.8K↓ —
- 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↓ —
- speckit-checklistforyourhealth111-pixel/Vibe-SkillsGenerate custom quality checklists for validating requirements completeness and clarity. Use to create unit tests for English that ensure spec quality before implementation.PlanningNo warnings★ 3.8K↓ —
- 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↓ —
- message-test-designeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "test our messaging before we scale it", "design a message-market-fit panel", or "run a 5-second comprehension test on our new tagline"; produces a message-test design spec — hypothesis, panel and recruit criteria, comprehension / 5-second / message-market-fit (Wynter-style) protocols, stimulus set drawn from the canon, success thresholds, and a stop/revise decision rule — for the TALE Evaluate phase so the message is validated before any paid scale. It designs the test; it never runs the experiment or adjudicates a claim. Not for running the panel or A/B experiment — use send-experiment-designer or ad-test-designer; not for analyzing the results — use performance-analyzer; not for authoring the message itself — use message-system-architect. 消息测试/理解度测试/面板设计/五秒测试/消息市场契合TestingNo warnings★ 3K↓ —
- datamodel-code-generatorUpdateddatamodel-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↓ —
- vastai-hello-worldjeremylongshore/tons-of-skills-marketplaceRent, verify, use, and destroy a first Vast.ai GPU instance with bounded cost and explicit failure cleanup. Use when running a safe platform canary or onboarding exercise. Trigger with: "rent my first Vast.ai GPU", "run a Vast.ai canary", "test Vast.ai end to end".TestingNo warnings★ 2.9K↓ —
- copywritingZJU-REAL/Easel国内带货转化营销文案：提炼卖点并产出种草、信息流广告、活动促销、电商详情页或落地页的标题、正文和 CTA。 当用户说“写种草/广告/活动/促销/详情页/落地页文案、提炼卖点、广告语”时使用。 整套小红书笔记用 xhs-note-creator；涨粉互动内容用 social-content；严格套 PAS/AIDA 等框架用 post-formatter。MarketingNo warnings★ 4.2K↓ —
- channel-portfolio-planneraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "pick which social channels to run", "should we be on X platform or 小红书", or "plan our organic social channel portfolio"; produces an audience/objective-first portfolio with capability/access matrix, cadence-budget reality check, declared ECHO operating profile, boundary routing, and proposed-state registry events. Not for recording canonical channel facts — use channel-registry. 社媒渠道选择/渠道组合规划/平台能力矩阵/自然社媒PlanningNo warnings★ 3K↓ —
- x-twitter-scraperdavepoon/buildwithclaudeX (Twitter) data extraction and monitoring via Xquik: tweet search, user lookup, follower extraction, giveaway draws, trending topics, account monitoring with webhooks, reply/retweet/quote extraction, community and Space data, follow checks. 22 MCP tools + REST API.BrowserNo warnings★ 3.7K↓ —
- ramp-observabilityjeremylongshore/tons-of-skills-marketplaceInstrument Ramp API clients, webhook consumers, deferred tasks, and accounting syncs with safe service and financial-correctness signals. Use when defining dashboards, alerts, traces, or reconciliation health. Trigger with "monitor Ramp integration" or "Ramp observability".DevOpsNo warnings★ 2.9K↓ —
tao-train-ocrnet
NVIDIA/skills
OtherUpdated 22 hours ago
From the author
OCRNet for scene text recognition. Recognizes text content from cropped text-region images and supports CTC and attention-based decoders. Use when training, evaluating, exporting, pruning, quantizing, retraining, or running inference for a TAO OCRNet model. Trigger phrases include "train OCRNet", "scene text recognition", "OCR cropped text", "CTC / attention text decoder".
Install
npx skills add NVIDIA/skills --skill tao-train-ocrnet -a claude-code
Installs to .claude/skills/tao-train-ocrnet/ · 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: APACHE-2.0
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance83
Maintenance100
Licence100
Adoption57
Files (29)
- BENCHMARK.md
- SKILL.md
- config/skillspector-baseline.yaml
- evals/evals.json
- references/skill_info.yaml
- references/spec_template_dataset_convert.yaml
- references/spec_template_deploy_experiment.yaml
- references/spec_template_evaluate.yaml
- references/spec_template_export.yaml
- references/spec_template_gen_trt_engine.yaml
- references/spec_template_inference.yaml
- references/spec_template_prune.yaml
- +17 more