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 36 minutes ago
49,393 skills
- substrate-vulnerability-scannertrailofbits/skillsScans Substrate/Polkadot pallets for 7 critical vulnerabilities including arithmetic overflow, panic DoS, incorrect weights, and bad origin checks. Use when auditing Substrate runtimes or FRAME pallets.SecurityNo warnings★ 8K↓ —
- brodavepoon/buildwithclaudeRe-explain the previous assistant message, or any text typed after the command, in a much simpler way. For when a reply made you go 'bro what'. Use /bro for a plain-language version of the last answer, or /bro <text> to simplify a pasted paragraph, error, email, or doc.ProductivityNo warnings★ 3.7K↓ —
- tao-finetune-clipNVIDIA/skillsCLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. Use when fine-tuning or training CLIP, running zero-shot classification, computing image embeddings, or deploying CLIP to ONNX/TensorRT. This is a single-action model skill; do not use it for an iterative weak-attribute improvement loop that keeps retraining and evaluating until progress stops, which belongs to tao-run-deft-pas.DevOpsNo warnings★ 3.8K↓ —
- offensive-data-exfiltrationSnailSploit/Claude-RedDense methodology covering DNS exfiltration (dnscat2, iodine, dns2tcp), HTTPS tunneling (domain fronting, CDN abuse, legitimate service channels), ICMP tunneling (icmpsh, ptunnel-ng), cloud storage dead drops (S3 presigned URLs, Azure Blob SAS tokens, GCS signed URLs), email-based exfil (SMTP, EWS, draft method), steganography (image, audio, document metadata), encoding/encryption (base64 chunking, XOR, AES), covert channels (custom protocol tunneling, HTTP header encoding, timing channels), and data staging (compression, splitting, encryption). Tools: dnscat2, iodine, dns2tcp, PacketWhisper, chisel, stunnel, icmpsh, ptunnel-ng, steghide, zsteg, OpenStego. MITRE ATT&CK: T1048 (Exfiltration Over Alternative Protocol), T1041 (Exfiltration Over C2 Channel), T1567 (Exfiltration Over Web Service), T1029 (Scheduled Transfer), T1030 (Data Transfer Size Limits), T1132 (Data Encoding), T1001 (Data Obfuscation). Use when planning or executing data exfiltration during authorized red team engagements or post-exploitationDevOpsNo warnings★ 10.3K↓ —
- forgetdavepoon/buildwithclaudeDelete a memory from Origin by ID. Destructive and cannot be undone — prefer `/capture` with `supersedes` for corrections. Invoked as `/forget <source_id>`.ProductivityNo warnings★ 3.7K↓ —
- gsd:notedavepoon/buildwithclaudeZero-friction idea capture. Append, list, or promote notes to todos.ProductivityNo warnings★ 3.7K↓ —
- paid-ads-amazonnowork-studio/notfair-pluginPlan and review Amazon Ads with margin-aware ACoS, product, and search-term guardrails. Use for Amazon advertising, Sponsored Products, Sponsored Brands, Sponsored Display, ASIN targeting, Amazon ACoS, or Amazon Ads performance exports.MarketingNo warnings★ 4.1K↓ —
- remove-ai-slopscode-yeongyu/oh-my-openagentRemoves AI-generated code smells from branch changes or an explicit file list behind regression tests, including junk tests (prose pins, source greps, copied inventories, mock echoes), each proven by its class's rule before a cut. Use when the user asks to clean up, deslop, remove AI-slop patterns, or prune tests from recent changes.TestingNo warnings★ 70.7K↓ —
- paid-ads-tiktoknowork-studio/notfair-pluginAudit, diagnose, and safely operate connected TikTok Ads accounts through the NotFair MCP. Use for TikTok advertising, Spark Ads, short-form video ads, campaign or ad-group analysis, spend, conversions, targeting, creative, budgets, bids, creator briefs, campaign setup, or approved TikTok Ads changes.MarketingNo warnings★ 4.1K↓ —
- denarioforyourhealth111-pixel/Vibe-SkillsMultiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.DataNo warnings★ 3.8K↓ —Also in 2 other repos
- google-ads-assetsnowork-studio/notfair-pluginPlan, validate, and safely publish Google Ads assets, including sitelinks, callouts, structured snippets, image assets, and Performance Max asset briefs. Use when asked for Google Ads assets, ad extensions, sitelinks, callouts, snippets, image assets, Performance Max assets, PMax creative, or an asset audit.MarketingNo warnings★ 4.1K↓ —
- paid-ads-optimizenowork-studio/notfair-pluginDiagnose wasted paid-ad spend, pacing, and allocation, then propose safe evidence-backed optimizations. Use for waste, negatives, budgets, bid changes, poor CPA or ROAS, underpacing, overspend, or scaling decisions.MarketingNo warnings★ 4.1K↓ —
- schema-markup-generatornowork-studio/notfair-pluginGenerate JSON-LD structured data markup for rich results in Google Search. Supports FAQ, HowTo, Article, Product, LocalBusiness, and multi-type schemas. Validates against Google requirements and provides implementation guidance. Use when asked to "add schema markup", "generate structured data", "JSON-LD", "rich snippets", "FAQ schema", "product markup", "add structured data to my page", "how to get rich snippets", or any structured data task.WritingNo warnings★ 4.1K↓ —
- message-system-architectaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "author our durable brand message hierarchy", "build the brand message house that seeds the canon", or "define the main narrative, three pillars, and tagline for the whole brand"; produces the DURABLE brand message system — main narrative, three value pillars, per-persona proof points (each labeled Measured / User-provided / '[needs source]'), and the tagline/one-liner — that seeds the narrative-registry canon and from which every per-launch house derives. Not for a single launch's message house or PR-FAQ — use message-house-builder; not for claim adjudication — use offer-claims-registry; not for the change-narrative arc itself — use strategic-narrative-designer. 品牌消息屋/主叙事/三支柱/标语/持久叙事 canonPlanningNo warnings★ 3.1K↓ —
- kiro-spec-statusgotalab/cc-sddShow specification status and progressPlanningNo warnings★ 3.8K↓ —
- throttling-apisjeremylongshore/tons-of-skills-marketplaceImplement API throttling policies to protect backend services from overload. Use when controlling API request rates. Trigger with phrases like "throttle API", "control request rate", or "add throttling".EngineeringNo warnings★ 2.9K↓ —
- navigating-githubjeremylongshore/tons-of-skills-marketplaceFirst-time GitHub setup and interactive git learning. Walks users from zero to a working GitHub repo, then teaches git through 9 hands-on lessons on their actual project. Adapts language and depth to skill level — inferred from environment, not questionnaires. Two modes: Setup (guided onboarding) and Learn (progressive curriculum from commits to CI/CD). Use when the user asks to set up GitHub, learn git, or says "teach me github". Trigger with "set up my repo", "help me with github", "teach me github", "learn git", "what are branches", "teach me PRs", or "how do I use github".DevOpsNo warnings★ 2.9K↓ —
- vastai-rate-limitsjeremylongshore/tons-of-skills-marketplaceDiagnose and design bounded Vast.ai CLI and REST traffic around per-endpoint, per-identity rate limits and the absence of Retry-After headers. Use when implementing polling, batch automation, or 429 recovery. Trigger with: "handle Vast.ai 429", "reduce Vast.ai polling", "set Vast.ai retry policy".DesignNo warnings★ 2.9K↓ —
- reasoningjeremylongshore/tons-of-skills-marketplaceUse BEFORE answering analytical, diagnostic, planning, or multi-step reasoning questions. Trigger phrases include "should I X or Y", "why is X happening", "what's the best approach", "what are the tradeoffs", "help me think through", "diagnose", "root cause", "plan/design X", "what are the implications of", "compare these approaches". Also fires on cross-domain analysis, strategy questions, architecture decisions, or anything requiring multiple factors to be weighed before responding. The skill calls the reasoning MCP tool to retrieve a cognitive scaffold (named failure pattern, executable procedure, suppression vectors, falsification test) the model absorbs internally before generating its response. Catches causal shortcuts, premature conclusions, generic templates, and surface pattern matching that produce confidently-wrong answers. Do NOT trigger for simple factual lookups, syntax questions, file reads, code execution, or restating the user's input.TestingNo warnings★ 2.9K↓ —
- doca-rdmaNVIDIA/skillsRDMA data movement on NVIDIA BlueField/ConnectX NICs (RoCE/InfiniBand) with DOCA RDMA, instead of hand-written libibverbs/rdma_cm. Use when the user moves data between processes or hosts over the NIC, or hits "one-sided read returns permission denied", "completions never arrive after submit", "connection callback never fires", atomic compare-and-swap over RoCE, or DOCA_ERROR_FULL on the send queue under burst, even without naming DOCA RDMA. Covers bringing up an RDMA context on a doca_dev, connection methods (RDMA CM, bridge/OOB, or gRPC exchange of doca_rdma_export()), the eleven task types (Send/Receive/Send-Imm, Read/Write/Write-Imm, Atomic CmpSwap/FetchAdd, Get/Set/Add Remote Sync Event), matching mmap + RDMA permissions, queue and connection sizing, doca_rdma_cap_* queries, and DOCA_ERROR_* from RDMA calls. Raw QP/verbs control belongs to doca-verbs. Refuse and route elsewhere for general RDMA / ibverbs theory (queue pairs, MRs, RoCE vs IB), installing DOCA itself, or non-RDMA DOCA libraries.WritingNo warnings★ 3.8K↓ —
- kiro-spec-tasksgotalab/cc-sddGenerate implementation tasks from requirements and design. Use when creating actionable task lists.PlanningNo warnings★ 3.8K↓ —
- 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↓ —
- kiro-spec-quickgotalab/cc-sddQuick spec generation with interactive or automatic modePlanningNo warnings★ 3.8K↓ —
- kiro-spec-batchgotalab/cc-sddCreate complete specs (requirements, design, tasks) for all features in roadmap.md using parallel sub-agent dispatch by dependency wave.PlanningNo warnings★ 3.8K↓ —
tao-train-nvdinov2
NVIDIA/skills
From the author
NVDINOv2 for self-supervised visual representation learning. Trains vision transformers via self-distillation (teacher-student) without labels and produces general-purpose visual features. Use when training, exporting, or running inference for a TAO NVDINOv2 backbone. Trigger phrases include "train NVDINOv2", "self-supervised ViT pretraining", "DINOv2 backbone", "visual representation learning".
Install
npx skills add NVIDIA/skills --skill tao-train-nvdinov2 -a claude-code
Installs to .claude/skills/tao-train-nvdinov2/ · 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
No warnings.
Why 90
Files (19)
- BENCHMARK.md
- SKILL.md
- config/skillspector-baseline.yaml
- evals/evals.json
- references/skill_info.yaml
- references/spec_template_deploy_gen_trt_engine.yaml
- references/spec_template_distill.yaml
- references/spec_template_export.yaml
- references/spec_template_inference.yaml
- references/spec_template_train.yaml
- references/tao-deploy-nvdinov2.md
- references/tao-deploy-nvdinov2.skill_info.yaml
- +7 more