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 15 hours ago
48,168 skills
- tao-train-pointpillarsNVIDIA/skillsPointPillars 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".MediaNo warnings★ 3.8K↓ —
- nemo-relay-plugin-buildNVIDIA/skillsUse this skill when building or packaging reusable NeMo Relay runtime behavior as an embedded configuration component or a manifest-backed `rust_dynamic` native or `worker` gRPC plugin, with deterministic validation and rollback-safe registration.OtherNo warnings★ 3.8K↓ —
- vaexforyourhealth111-pixel/Vibe-SkillsUse this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.DataNo warnings★ 3.8K↓ —Also in 1 other repo
- evals-contextforyourhealth111-pixel/Vibe-SkillsProvides context about the Roo Code evals system structure in this monorepo. Use when tasks mention "evals", "evaluation", "eval runs", "eval exercises", or working with the evals infrastructure. Helps distinguish between the evals execution system (packages/evals, apps/web-evals) and the public website evals display page (apps/web-roo-code/src/app/evals).ProductivityNo warnings★ 3.8K↓ —
- init-deepcode-yeongyu/oh-my-openagentInitializes a hierarchical AGENTS.md knowledge base for a project. Use when a repo needs its structure, commands, and conventions documented for agents.OtherNo warnings★ 70.5K↓ —
- ultracostdavepoon/buildwithclaudeQuality-first per-stage model routing AND a pre-flight cost gate for Claude Code dynamic workflows. Use when authoring or running ultracode / dynamic-workflow scripts, spawning subagents, or writing agent() stages — pin the right model and effort on every stage, then estimate cost and confirm with the user before launching. Verify scripts with /ultracost:check.WritingNo warnings★ 3.7K↓ —
- tts-voiceoverZJU-REAL/Easel文字转语音配音：把文案/脚本合成为 AI 语音口播、旁白、朗读音频。**配了 VOICE_PROVIDER 默认走闭源云 TTS（CosyVoice2 等，有情感、像真人），edge 仅无 key 时兜底**（edge 偏机械/AI 味）；同步输出分句 SRT 字幕、mp3/wav/m4a。合成后可与 BGM 混音或加到视频作旁白。当用户说“配音”“文字转语音”“TTS”“AI 配音”“口播语音”“旁白”“朗读”“把这段文字读出来”“生成语音”“语音合成”时使用。OtherNo warnings★ 4.2K↓ —
- wiki-narrateAr9av/obsidian-wikiTurn a wiki topic into a cited Markdown briefing, plain-language explanation, or progressive lecture. Use this skill for topic-based briefing, explanation, and lecture requests that must stay within the evidence compiled in an Obsidian vault.ProductivityNo warnings★ 3.6K↓ —
- i4h-workflow-createNVIDIA/skillsCreate a minimal blank Workflow scaffold with a Scene containing ground and light plus an idle run mode. Use for fast new Workflow scaffolding.ProductivityNo warnings★ 3.8K↓ —
- maintain-formal-verification-skillmichael-denyer/pstack-claudeBring a project's formal verification back in line with the code after the code changes: find the commits that touched verified code, update the model, harness, or properties to describe the code as it is now, rerun, and say whether each failure is drift in the verification or a bug in the code. Use for /maintain-formal-verification-skill, "is the model still true to the code", or after merges and refactors that touched verified code without rechecking it.EngineeringNo warnings★ 3.7K↓ —
- skill-audience-profilerZJU-REAL/Easel构建目标受众画像：分析粉丝人群特征、痛点需求、内容偏好和触达渠道，输出可执行的受众画像卡。 当用户说"受众画像""粉丝画像""我的用户是谁""目标人群""用户痛点""受众分析""谁在看我"时使用。 构建的是受众/粉丝画像，创作者自己的声音画像用 skill-voice-builder。OtherNo warnings★ 4.2K↓ —
- 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★ 4.2K↓ —
- template-skillanthropics/skillsReplace with description of the skill and when Claude should use it.OfficialOtherNo warnings★ 185.7K↓ —Also in 9 other repos
- gmail-automationdavepoon/buildwithclaudeAutomate Gmail tasks via Rube MCP (Composio): send/reply, search, labels, drafts, attachments. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- shapforyourhealth111-pixel/Vibe-SkillsModel interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.EngineeringNo warnings★ 3.8K↓ —Also in 1 other repo
- resemble-detectdavepoon/buildwithclaudeDeepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble AIMediaNo warnings★ 3.7K↓ —
- aeonforyourhealth111-pixel/Vibe-SkillsThis skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.PlanningNo warnings★ 3.8K↓ —Also in 1 other repo
- zoom-automationdavepoon/buildwithclaudeAutomate Zoom meeting creation, management, recordings, webinars, and participant tracking via Rube MCP (Composio). Always search tools first for current schemas.OtherNo warnings★ 3.7K↓ —
- doca-container-deploymentNVIDIA/skillsRunning an in-bundle DOCA service as a container on a BlueField (Argus, DMS, Firefly, or UROM service): kubelet standalone watching a static-pod manifests directory, YAML pod-spec drop, kubelet status / ENTRYPOINT logs / per-service liveness. Trigger on "how do I run my built service on the BlueField?", "where do I drop the pod-spec YAML?", "pod stuck in Pending / ImagePullBackOff / CrashLoopBackOff", "container Running but service isn't ready", "pod restart-loops after edit", or "DMS and Firefly together", even without naming container deployment. A DOCA-linked binary launched directly on the host or Arm belongs to doca-bare-metal-deployment. Covers smoke-before-bulk and the layered error taxonomy (pod-spec, scheduling, image pull, runtime, mount, network, version, host). Refuse and route elsewhere for per-service config schemas, DOCA install, library-API questions, external NVIDIA services (BlueMan, HBN, SNAP, Virtio-net), or full Kubernetes-cluster ops.DevOpsNo warnings★ 3.8K↓ —
- meta-adsnowork-studio/notfair-pluginManage Meta Ads (Facebook + Instagram) — performance, ROAS, CPM, frequency, audience overlap, learning phase, creative fatigue, budgets, ad sets, campaigns, ads. Use for any mention of Meta Ads, Facebook Ads, Instagram Ads, ROAS, CPM, ad spend, or campaign settings on Meta.MarketingNo warnings★ 4.1K↓ —
- 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↓ —
- nvshmem-docsNVIDIA/skillsFind version-aware official NVSHMEM and NVSHMEM4Py documentation for releases, installation, APIs, runtime settings, transports, containers, and troubleshooting.OtherNo warnings★ 3.8K↓ —
- google-adsnowork-studio/notfair-pluginManage Google Ads — performance, keywords, bids, budgets, negatives, campaigns, ads, search terms, QS, location targeting, bulk operations, experiments, asset management, portfolio bidding, offline conversions. Use for any mention of Google Ads, CPA, ROAS, ad spend, or campaign settings.MarketingNo warnings★ 4.1K↓ —
- seo-driftnowork-studio/notfair-pluginSEO drift monitoring — snapshot a site's SEO state and detect regressions over time. Captures a baseline (rankings/positions, indexed page count, titles & meta descriptions, canonical/robots directives, schema presence, key on-page elements) and on later runs diffs against it to surface what changed: ranking drops, pages that fell out of the index, titles/metas that were accidentally overwritten (a CMS/redeploy classic), canonicals or noindex flipped, schema that disappeared. Use this skill when the user wants to monitor SEO over time, catch regressions after a site change / migration / redeploy, set a baseline, diff against a previous state, or asks "what changed on my site's SEO" or "did my redesign break SEO". Trigger on: "SEO drift", "SEO monitoring", "track SEO over time", "did my site change break SEO", "after migration SEO", "SEO regression", "baseline my SEO", "compare SEO to last month", "my titles changed", "pages fell out of the index". For a one-time full audit use /seo-analysis.MarketingNo warnings★ 4.1K↓ —
equibles-research
davepoon/buildwithclaude
ScienceUpdated yesterday
From the author
Use when the user asks about a US-listed company or the US market and wants sourced numbers, such as SEC filings and what a 10-K or 10-Q says, income statements and balance sheets, earnings call transcripts, insider or congressional trades, 13F institutional holders, short interest, stock prices, option chains, stock screens or macroeconomic indicators. Calls the Equibles MCP server.
Install
npx skills add davepoon/buildwithclaude --skill equibles-research -a claude-code
Installs to .claude/skills/equibles-research/ · 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: MIT
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance83
Maintenance100
Licence100
Adoption57
Files (1)
- SKILL.md