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.
45,100 skills from 2,196 repositories · updated 13 hours ago
44,137 skills
- ops-dashdavepoon/buildwithclaudeInteractive pixel-art command center dashboard. Visual business HQ with instant hotkey navigation to all ops commands, live status indicators, fire alerts, C-suite reports, settings, sharing, and FAQ.OtherNo warnings★ 3.7K↓ —
- clawringdavepoon/buildwithclaudePhone calling skill for OpenClaw: agent makes real outbound phone calls to users for alerts, briefings, reminders, and urgent notifications. Managed service, no Twilio setup needed. 100+ countries, 70+ voices.OtherNo warnings★ 3.7K↓ —
- dashboarddavepoon/buildwithclaudeView all tracked vulnerabilities and their current statusSecurityNo warnings★ 3.7K↓ —
- gsd:sketch-wrap-updavepoon/buildwithclaudePackage sketch design findings into a persistent project skill for future build conversationsDesignNo warnings★ 3.7K↓ —
- gsd:review-backlogdavepoon/buildwithclaudeReview and promote backlog items to active milestoneEngineeringNo warnings★ 3.7K↓ —
- company-valuationhimself65/finance-skillsEstimate a public company's intrinsic value with DCF, relative (peer multiple), and sum-of-the-parts (SOTP) methods, then blend them into an implied share price with upside/downside vs the market price, a WACC and terminal-growth sensitivity grid, and bull/base/bear scenarios. Use this skill whenever the user asks what a company or ticker is worth: fair value, intrinsic value, implied share price, a price target from fundamentals, whether it is overvalued or undervalued, building a DCF (WACC, terminal value, discounted cash flow), EV/EBITDA or P/E based targets, peer comparison valuation, or SOTP and conglomerate discounts. Run the model rather than answering valuation questions from memory.FinanceNo warnings★ 3.5K↓ —
- exploitsdavepoon/buildwithclaudeAnalyze exploit intelligence for a vulnerability against the current repositorySecurityNo warnings★ 3.7K↓ —
- gsd:spike-wrap-updavepoon/buildwithclaudePackage spike findings into a persistent project skill for future build conversationsOtherNo warnings★ 3.7K↓ —
- gsd:new-workspacedavepoon/buildwithclaudeCreate an isolated workspace with repo copies and independent .planning/PlanningNo warnings★ 3.7K↓ —
- tycanadavepoon/buildwithclaudePersistent task management and productivity intelligence via MCP. Captures tasks from conversation, plans your day, tracks patterns, and gives personalized recommendations that improve over time.PlanningNo warnings★ 3.7K↓ —
- ops-godavepoon/buildwithclaudeToken-efficient morning briefing. Pre-gathers all data via shell scripts, then presents a unified business dashboard with prioritized actions.OtherNo warnings★ 3.7K↓ —
- stock-liquidityhimself65/finance-skillsAnalyze how liquid a stock is using Yahoo Finance data (yfinance): bid-ask spreads, volume and dollar volume (ADTV), top-of-book and options depth, square-root market impact and slippage estimates, turnover ratio, and Amihud illiquidity, rolled into a liquidity grade. Use this skill whenever the user asks about liquidity or trading costs — how easily a position can be entered or exited, what a large order would do to the price, spread or execution-cost estimates, order book depth, volume patterns, or liquidity comparisons — especially for small caps, penny stocks, and thinly traded names.FinanceNo warnings★ 3.5K↓ —
- gsd:remove-phasedavepoon/buildwithclaudeRemove a future phase from roadmap and renumber subsequent phasesPlanningNo warnings★ 3.7K↓ —
- gsd:map-codebasedavepoon/buildwithclaudeAnalyze codebase with parallel mapper agents to produce .planning/codebase/ documentsPlanningNo warnings★ 3.7K↓ —
- gsd:insert-phasedavepoon/buildwithclaudeInsert urgent work as decimal phase (e.g., 72.1) between existing phasesOtherNo warnings★ 3.7K↓ —
- tao-train-deformable-detrNVIDIA/skillsDeformable DETR for 2D object detection. Uses deformable attention for efficient multi-scale feature processing, lighter than DINO with competitive accuracy. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Deformable-DETR model. Trigger phrases include "train deformable-detr", "Deformable DETR object detection", "lightweight DETR detector".OtherNo warnings★ 3.7K↓ —
- gsd:complete-milestonedavepoon/buildwithclaudeArchive completed milestone and prepare for next versionOtherNo warnings★ 3.7K↓ —
- excel-dcf-modelerjeremylongshore/tons-of-skills-marketplaceBuild discounted cash flow (DCF) valuation models in Excel. Use when creating DCF models, calculating enterprise value, or valuing companies. Trigger with phrases like 'excel dcf', 'build dcf model', 'calculate enterprise value'.DocumentsNo warnings★ 2.9K↓ —
- gsd:dodavepoon/buildwithclaudeRoute freeform text to the right GSD command automaticallyOtherNo warnings★ 3.7K↓ —
- skill-my-accountZJU-REAL/Easel查询用户自己在 Easel 已登录的小红书、抖音、快手、知乎和视频号身份、粉丝、获赞、关注及作品列表。 当用户问“我登录了哪些号、我是谁、我的粉丝/获赞、我最近发了什么、我有哪些帖子”时,先用本 SKILL 查本地登录态,不要先向用户索要账号名或链接。 某条帖子的评论抓取与分析分别用 skill-xhs-comment-reply 和 skill-comment-insights。OtherNo warnings★ 4.1K↓ —
- etf-premiumhimself65/finance-skillsCalculate an ETF's premium or discount to NAV from Yahoo Finance data (yfinance), compare or screen ETFs by premium, explain why a gap exists, and decompose a sudden ETF move into NAV-driven vs structural components (dealer gamma exposure, blocked AP arbitrage, sentiment). Use this skill whenever the user asks whether an ETF trades above or below NAV, compares ETF premiums or discounts, screens for the biggest ones, asks about ETF arbitrage or premium convergence, or wants to know why an ETF jumped or diverged from its holdings — including gamma squeezes, dealer gamma exposure (GEX), and blocked creation/redemption. Especially relevant for leveraged, inverse, international, bond, commodity, and crypto ETFs (IBIT, BITO, HYG, KWEB).FinanceNo warnings★ 3.5K↓ —
- skill-content-gap-analysisZJU-REAL/Easel分析社媒赛道的内容空白,发现高需求低竞争的蓝海选题机会。 当用户说"蓝海选题""内容空白""没人做的选题""选题机会""高需求低竞争""差异化选题""内容缺口"时使用。 和 skill-competitor-analysis 的区别:本 SKILL 从赛道供需交叉验证找蓝海选题空白; competitor-analysis 拆解具体竞品账号的内容策略。OtherNo warnings★ 4.1K↓ —
- 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★ 3.7K↓ —
- nemo-rl-brev-etiquetteNVIDIA/skillsBrev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL with limited workspace disk, a larger /ephemeral volume, and optional /home/ubuntu/RL/.env secrets. Use when running nemo-rl-auto-research campaigns, experiments, training jobs, model or dataset downloads, shared cache-heavy commands, log-producing runs, checkpoint generation, W&B or Hugging Face authenticated workflows, or any workflow that may create large files on Brev.ScienceNo warnings★ 3.7K↓ —
tao-train-codetr
NVIDIA/skills
From the author
Co-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".
Install
npx skills add NVIDIA/skills --skill tao-train-codetr -a claude-code
Installs to .claude/skills/tao-train-codetr/ · 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 (10)
- BENCHMARK.md
- SKILL.md
- config/skillspector-baseline.yaml
- evals/evals.json
- references/checkpoint-spec-pairing.md
- references/coco80_classmap.txt
- references/skill_info.yaml
- references/spec_template_inference.yaml
- skill-card.md
- skill.oms.sig