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.
49,484 skills from 2,391 repositories · updated 27 minutes ago
49,484 skills
- 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↓ —
- gsd:quickdavepoon/buildwithclaudeExecute a quick task with GSD guarantees (atomic commits, state tracking) but skip optional agentsProductivityNo warnings★ 3.7K↓ —
- finta-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Finta plan selection and feature usage. Trigger with phrases like "finta cost", "finta pricing", "finta plan selection".PlanningNo warnings★ 2.9K↓ —
- scientific-data-preprocessingforyourhealth111-pixel/Vibe-Skills⚠️ CRITICAL USER EXPERIENCE-BASED SKILL - ALWAYS CONSULT BEFORE DATA PREPROCESSING ⚠️ Prevents catastrophic errors (88.9% error rate in V1.0 case study) through multi-level feature analysis, data leakage detection, and semantic validation. MANDATORY for: data preprocessing, feature engineering, standardization, normalization, interpolation, missing value handling, feature selection, or ANY data transformation task. Covers grouped time-series, cross-sectional, panel data. Detects: time travel leakage, causal inversion, ID misuse, semantic-numeric fallacies, distribution blindness. User's hard-won lessons from real project failures.ScienceNo warnings★ 3.8K↓ —
- sepia-refactorNanako0129/sepiaUse when a user explicitly requests Sepia refactor for minimal in-place prose revision.EngineeringNo warnings★ 3.6K↓ —
- sepia-hemingwayNanako0129/sepiaUse when a user asks to write or revise fiction in the Hemingway manner, or asks for strong de-AI on a story; applies Sepia's built-in Hemingway voice profile.WritingNo warnings★ 3.6K↓ —
- sepia-recreateNanako0129/sepiaUse when a user explicitly requests Sepia recreate for a full rewrite.OtherNo warnings★ 3.6K↓ —
- gsd:fastdavepoon/buildwithclaudeExecute a trivial task inline — no subagents, no planning overheadPlanningNo warnings★ 3.7K↓ —
- sepia-writeNanako0129/sepiaUse when a user explicitly requests Sepia write to create new prose.WritingNo warnings★ 3.6K↓ —
- cdf-simulationNVIDIA/skillsComponent-owned guidance for CDF Simulation requests submitted directly or through Airflow-triggered DIG Flow Catalog prompts — golden THT board, THT pin-geometry variation, good/clean SMT images, structural pose defects, and solder texture defects, from a board USD. Turns one matched prompt into one validated `cdf.CDFJob` build and its compiled JobOrder payload; it never executes a render itself. Requires a caller-supplied board USD and output root, asks for either when missing from an interactive request, and resolves optional details with fixed, documented defaults.MediaNo warnings★ 3.9K↓ —
- clari-hello-worldjeremylongshore/tons-of-skills-marketplaceRun one bounded Clari forecast export through request, status polling, and result retrieval. Use when proving Revenue API connectivity or learning the job lifecycle. Trigger with: "run my first Clari export", "test Clari connectivity", "export a forecast snapshot".TestingNo warnings★ 2.9K↓ —
- gsd:dodavepoon/buildwithclaudeRoute freeform text to the right GSD command automaticallyOtherNo warnings★ 3.7K↓ —
- frost-sequence-camera-orbitheygen-com/hyperframesAn orbiting camera follows an ice logo as it breaks apart, reforms into two text moments, and fades. HyperFrames block, 1920×1080, 22.5s, 216 variables.OfficialOtherNo warnings★ 78.7K↓ —
- positioning-mapperaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "map our positioning", "name our competitive alternatives", or "pick a beachhead segment for the launch"; produces a Dunford-style positioning canvas — named competitive alternatives (including spreadsheet and status quo), unique attributes (verifiable, or routed to the claims ledger), value themes (attribute→benefit→value chains), a target beachhead segment scored on serviceability / pain intensity / reachability, and a one-sentence onlyness statement — the sole upstream of the message house and the entity-signal source for the canonical entity profile. Not for the message house or per-channel launch copy — use message-house-builder; not for audience/persona profiling itself — use audience-mapper; not for SEO keyword positioning — use keyword-research. 定位画布/竞争替代品/独特价值/滩头细分DataNo warnings★ 3.1K↓ —
- apify-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Apify platform costs through memory tuning, compute unit management, and proxy budgeting. Use when analyzing Apify billing, reducing Actor run costs, or implementing usage monitoring and budget alerts. Trigger with "apify cost", "apify billing", "reduce apify costs", "apify pricing", "apify expensive", "apify budget", "compute units".ProductivityNo warnings★ 2.9K↓ —
- canva-cost-tuningjeremylongshore/tons-of-skills-marketplaceReduce unnecessary Canva Connect operations using measured request, retry, cache, and premium-feature evidence. Use when reviewing usage, trial-quota pressure, deduplication, or budget guardrails. Trigger with: "reduce Canva usage", "Canva quota planning", "optimize Canva calls".PlanningNo warnings★ 2.9K↓ —
- square-automationdavepoon/buildwithclaudeAutomate Square tasks via Rube MCP (Composio): payments, orders, invoices, locations. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- serply-web-searchdavepoon/buildwithclaudeSearch Google, Bing, Google News and Google Scholar, and read public pages, through the Serply MCP server. Use when you need current information beyond training data, recent news coverage, or academic papers, with source URLs. Remote server at https://api.serply.io/mcp with an API key from https://serply.io sent in the X-Api-Key header.EngineeringNo warnings★ 3.7K↓ —
- rag-perfNVIDIA/skillsPerformance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. Not for accuracy / RAGAS scoring (use rag-eval) or for deploying / repairing services (use rag-blueprint).TestingNo warnings★ 3.9K↓ —
- rag-evalNVIDIA/skillsFilesystem RAG benchmarks: corpus/, train.json, evaluate_rag.py (RAGAS quality). Not for prod monitoring, latency/throughput benchmarking (use rag-perf), or evals outside this repo layout.OtherNo warnings★ 3.9K↓ —
- anima-hello-worldjeremylongshore/tons-of-skills-marketplaceGenerate reviewable React or HTML code from a Figma design using the Anima SDK. Use when testing design-to-code conversion, learning Anima's code output format, or building your first automated design-to-code pipeline. Trigger with: "anima hello world", "anima example", "figma to react", "figma to code", "anima generate code".TestingNo warnings★ 2.9K↓ —
- x-searchcode-yeongyu/oh-my-openagentMUST read before searching X/Twitter with the x_search tool. When xAI is connected: date-bound every time-sensitive query (from_date >= yesterday, widen to 7 days), scope trusted accounts with allowed_x_handles, phrase queries as latest/recent with since:/from:/filter: operators, split into 2-3 searches by account and by keyword, and reconcile against web_search. Triggers: X search, Twitter search, tweets, posts on X, what people are saying on X, x_search, social signal.OtherNo warnings★ 70.7K↓ —
- omomomocode-yeongyu/oh-my-openagentEaster egg command - about oh-my-opencode. Triggers: omomomo, about, easter egg.OtherNo warnings★ 70.7K↓ —
- what-did-i-get-donemichael-denyer/pstack-claudeSummarize authored commits over a user-specified time period into a concise updatePlanningNo warnings★ 4K↓ —
tao-train-pointpillars
NVIDIA/skills
From the author
PointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a pillar-based representation, then applies 2D detection — used in autonomous driving and robotics. Use when training, evaluating, exporting, pruning, retraining, or running inference for a TAO PointPillars model. Trigger phrases include "train PointPillars", "LiDAR 3D detection", "point-cloud object detection", "pillar-based 3D detector".
Install
npx skills add NVIDIA/skills --skill tao-train-pointpillars -a claude-code
Installs to .claude/skills/tao-train-pointpillars/ · 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
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Why 90
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_evaluate.yaml
- references/spec_template_deploy_gen_trt_engine.yaml
- references/spec_template_deploy_inference.yaml
- references/spec_template_evaluate.yaml
- references/spec_template_export.yaml
- references/spec_template_gen_trt_engine.yaml
- +17 more