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 2 hours ago
48,168 skills
- sentry-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Sentry costs, reduce event volume, and manage quota spend. Use when analyzing Sentry billing, reducing error/transaction volume, configuring sampling rates, or preventing overage charges. Trigger: "reduce sentry costs", "sentry billing optimization", "sentry quota management", "optimize sentry spend", "sentry sampling".OtherNo warnings★ 2.9K↓ —
- flyio-cost-tuningjeremylongshore/tons-of-skills-marketplaceAnalyze Fly.io Machine, volume, network, IP, and Managed Postgres cost drivers without freezing volatile prices. Use when reducing spend or forecasting capacity. Trigger with: "audit Fly bill", "right-size Fly Machines", "reduce Fly idle cost".DataNo warnings★ 2.9K↓ —
- sepa-strategyhimself65/finance-skillsAnalyze stocks with Mark Minervini's SEPA (Specific Entry Point Analysis) methodology: stage analysis, the 8-condition trend template, fundamentals, VCP and other base patterns, pivot-point entries, market environment, and risk-based position sizing. Use this skill whenever the user mentions SEPA, Minervini, superperformance, the trend template, VCP (volatility contraction pattern), Stage 2, pivot or breakout entries, moving-average stacking (price above the 50/150/200-day MAs), breakout volume, position sizing from risk percentage, growth-stock screening or swing-trade entry criteria, or bases such as cup-with-handle, flat base, bull flag, or high tight flag. Also use it when the user asks "should I buy this stock" or "is this a good setup" about a growth or momentum name, or shares a chart for pattern analysis.FinanceNo warnings★ 3.5K↓ —
- htmlplannotator/effective-htmlCreate or redesign self-contained single-file HTML artifacts with a visual direction shaped by the user's brief, project, and subject. Use when HTML is the deliverable for a report, explainer, landing page, presentation, tool, mixed artifact, or broad request. This is the collection's only implicit router. Route clear wireframe, prototype, mockup, plan, or diagram requests to the matching direct-invocation specialist when available. Do not use for ordinary application implementation when a standalone HTML file is not the deliverable.DesignNo warnings★ 3.8K↓ —
- paperclip-task-bridgepaperclipai/paperclipCreate, comment on, update, and list Paperclip tasks from Hermes using scoped Paperclip API credentials.ProductivityNo warnings★ 109.2K↓ —
- wiki-switchAr9av/obsidian-wikiList, create, or switch named Obsidian wiki vault profiles under the global config directory. Use when changing the active vault, checking which vault is active, or managing multi-vault profiles.ProductivityNo warnings★ 3.6K↓ —
- skill-publish-checklistZJU-REAL/Easel发布前完整性检查：逐项检查标题、封面、标签、格式、合规标记、链接、CTA 是否齐全， 确保内容没有遗漏就能发布。当用户说"检查一下能不能发"、"发布前检查"、"checklist"、 "查漏补缺"、"发之前看一眼"、"发布清单"、"漏了什么没"、"能发了吗"时触发。 和 skill-quality-gate 的区别：quality-gate 做深度合规审核和质量评分， publish-checklist 只做"有没有漏东西"的快速完整性检查。OtherNo warnings★ 4.2K↓ —
- tao-train-bevfusionNVIDIA/skillsBEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view (BEV) space, used in autonomous driving for robust 3D perception. Use when training, evaluating, or running inference for a TAO BEVFusion model. Trigger phrases include "train BEVFusion", "LiDAR + camera fusion", "BEV 3D detection", "multi-sensor 3D perception".OtherNo warnings★ 3.8K↓ —
- figure-it-outbacknotprop/pstackDesign an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away. Scales rigor to the task, runs a hypothesis loop, and logs decisions. Use for /figure-it-out or 'figure it out'.DesignNo warnings★ 3.3K↓ —
- asana-automationdavepoon/buildwithclaudeAutomate Asana tasks via Rube MCP (Composio): tasks, projects, sections, teams, workspaces. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- skill-topic-evaluatorZJU-REAL/Easel评估单个选题的潜力，按统一维度（流量潜力、账号匹配、 竞争差异化、时效价值、变现空间、制作成本、合规风险）打分，输出"做/不做/改方向"建议。 当用户说"这个选题值不值得做"、"评估一下"、"能不能火"、"有没有流量"、 "做不做这个"、"选题评估"、"值得做吗"、"这个话题行不行"、"帮我判断一下"时触发。 skill-content-matrix 批量生成选题池；skill-post-scorer 评估已完成内容，本 SKILL 评估尚未制作的单个选题。OtherNo warnings★ 4.2K↓ —
- wiki-researchAr9av/obsidian-wikiPerform multi-round web research on a topic, synthesize the findings, and file structured results into the Obsidian wiki. Use for comprehensive web-sourced research intended to become wiki knowledge.ScienceNo warnings★ 3.6K↓ —
- ramp-data-handlingjeremylongshore/tons-of-skills-marketplaceDefine collection, redaction, retention, access, and deletion controls for Ramp financial, identity, receipt, and card data. Use when designing storage, logs, support bundles, analytics, or card-detail delivery. Trigger with "Ramp data handling" or "Ramp PCI boundary".DataNo warnings★ 2.9K↓ —
- cross-linkerAr9av/obsidian-wikiFind and add missing cross-references between wiki pages. Use when pages are disconnected or after large ingestion. This modifies pages to add links; use wiki-lint for report-oriented structural auditing.OtherNo warnings★ 3.6K↓ —
- debriefdavepoon/buildwithclaudeAlias for `/origin:handoff` — symmetric brief/debrief naming. Same behavior: end-of-session ritual that writes session log + project status + granular MCP captures. Invoked as `/debrief`. Use when the user prefers the brief/debrief pair over brief/handoff.WritingNo warnings★ 3.7K↓ —
- creator-registryaaron-he-zhu/aaron-marketing-skillsUse when the user asks "what did we pay this creator last time" or to "update the creator roster"; curates creator identity, rate, rights, exclusivity, compliance-event, and performance facts through the append-only creators event stream. Not for scoring fit — use fit-scorer; not for reviewing content — use creator-content-auditor. 创作者档案/达人名册LegalNo warnings★ 3K↓ —
- gsd:milestone-summarydavepoon/buildwithclaudeGenerate a comprehensive project summary from milestone artifacts for team onboarding and reviewProductivityNo warnings★ 3.7K↓ —
- tao-train-codetrNVIDIA/skillsCo-DETR (CoDINO) for object detection. A DETR-family detector with collaborative hybrid assignment — auxiliary one-to-many heads supervise the encoder during training, giving strong closed-set accuracy at high inference cost. Use when training, evaluating, or running inference for a TAO Co-DETR model. Trigger phrases include "train Co-DETR", "run CoDINO", "codetr inference", "collaborative DETR", "autolabel detections with Co-DETR".OtherNo warnings★ 3.8K↓ —
- vercel-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Vercel costs through plan selection, function efficiency, and usage monitoring. Use when analyzing Vercel billing, reducing function execution costs, or implementing spend management and budget alerts. Trigger with phrases like "vercel cost", "vercel billing", "reduce vercel costs", "vercel pricing", "vercel expensive", "vercel budget".PlanningNo warnings★ 2.9K↓ —
- nemo-fabric-build-adapterNVIDIA/skillsBuild, migrate, review, and maintain third-party NVIDIA NeMo Fabric adapters against the public adapter contract. Use when creating adapter or target descriptors, mapping AgentConfig into an agent harness or custom-agent runtime, implementing start/invoke/stop, declaring schemas and capabilities, packaging discovery metadata, or assessing adapter conformance. Do not use for consumer applications that only call the NVIDIA NeMo Fabric SDK.LegalNo warnings★ 3.8K↓ —
- tao-train-grounding-dinoNVIDIA/skillsGrounding DINO for open-set object detection. Combines DINO-style detection with a BERT text encoder for language-guided detection — detects objects described by text prompts without a fixed class vocabulary. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Grounding DINO model. Trigger phrases include "train Grounding DINO", "open-vocabulary detection", "text-prompted detector", "language-guided object detection".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↓ —
- offensive-advanced-redteamSnailSploit/Claude-RedComprehensive red team operations methodology covering full engagement lifecycle from planning through reporting. Addresses engagement scoping and rules of engagement negotiation, multi-tier C2 infrastructure design with redirectors and domain fronting, malleable traffic profiles and beacon tradecraft, OPSEC discipline including attribution avoidance and indicator management, EDR and AMSI evasion techniques using direct syscalls and unhooking, data collection with chain-of-custody controls, and structured reporting with purple team debrief workflows. Covers assumed-breach, external-to-internal, insider threat, and hybrid physical-cyber engagement scenarios with MITRE ATT&CK mapping throughout. Targets operators planning or executing adversary simulation engagements against mature defenders.DevOpsNo warnings★ 10K↓ —
- tao-train-nvdinov2NVIDIA/skillsNVDINOv2 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".OtherNo warnings★ 3.8K↓ —
tao-finetune-video-clip
NVIDIA/skills
MediaUpdated yesterday
From the author
InternVideo2-CLIP L14 (TAO video_clip) for video-text retrieval, zero-shot classification, embedding extraction, LoRA fine-tuning, ONNX export, and TensorRT deployment. Use when the user asks to "fine-tune IV2CLIP", "run video_clip train/evaluate/inference/export", "build a Video-CLIP TensorRT engine", "InternVideo2-CLIP on KPI chunks", or "TAO video_clip on vadr1_chunks JSON".
Install
npx skills add NVIDIA/skills --skill tao-finetune-video-clip -a claude-code
Installs to .claude/skills/tao-finetune-video-clip/ · 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
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Why 90
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Maintenance100
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Adoption57
Files (17)
- BENCHMARK.md
- SKILL.md
- config/skillspector-baseline.yaml
- eval.config
- evals/evals.json
- references/skill_info.yaml
- references/spec_template_deploy_evaluate.yaml
- references/spec_template_deploy_inference.yaml
- references/spec_template_evaluate.yaml
- references/spec_template_export.yaml
- references/spec_template_gen_trt_engine.yaml
- references/spec_template_inference.yaml
- +5 more