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.
13,361 skills from 389 repositories · updated 25 minutes ago
1,037 skills
- estimatebrycewang-stanford/Auto-Empirical-Research-SkillsRun a structural estimation pipeline — routes to /workflows:work with estimation context from empirical-playbookProductivityNo warnings★ 4.7K↓ —
- aer-workflowbrycewang-stanford/Auto-Empirical-Research-SkillsUse when deciding which AER-skills sub-skill to use next, before choosing a specialized skill or after a user asks how to sequence manuscript work from topic selection through rebuttal for AER, AER:Insights, or AEJ journals. Routes — does not replace — the specialized skills.ProductivityNo warnings★ 4.7K↓ —
- aer-tables-figuresbrycewang-stanford/Auto-Empirical-Research-SkillsUse when constructing or revising regression tables, descriptive statistics tables, or figures after results are estimated and before submission for an AER, AER:Insights, or AEJ manuscript. Implements AER booktabs house style, regression-table layout, and figure-note conventions.ProductivityNo warnings★ 4.7K↓ —
- obsidian-basesbrycewang-stanford/Auto-Empirical-Research-SkillsCreate and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.ProductivityNo warnings★ 4.7K↓ —
- narco-checkopen-gitagent/opengapMemory integrity audit. Detects hallucinations, circular confirmations, and state poisoning. Runs automatically after 2 consecutive failures or at nightly deep dive. Uses Opus 4.6 as the auditor model.ProductivityNo warnings★ 3K↓ —
- packet-factoryopen-gitagent/opengapCreates, reviews, and dispatches atomic work packets. Every task with a side effect requires an APPROVED packet before execution. Scope is immutable after approval — expansion requires a new packet.ProductivityNo warnings★ 3K↓ —
- stata-logbrycewang-stanford/Auto-Empirical-Research-SkillsTail, read, or search a Stata log file from a previous command or background task.ProductivityNo warnings★ 4.7K↓ —
- next-taskbreaking-brake/cc-wf-studioRun one unattended IMPLEMENTATION iteration of the autonomous value-creation loop — steward any in-flight PR, fix interrupts (red CI / security / human bugs), or else build ONE queued `idea` issue on a branch off auto-dev and open a PR that squash-merges on green CI. Ideation lives in the next-idea skill; this skill consumes its queue. Use when the user says "次のタスク", "next task", "続きをやって", or wants autonomous progress without specifying what to do.ProductivityNo warnings★ 5.4K↓ —
- statsbrycewang-stanford/Auto-Empirical-Research-SkillsEconometrics skill for descriptive statistics and summary tables. Activates when the user asks about: "descriptive statistics", "summary statistics", "summary table", "Table 1", "balance table", "means and standard deviations", "correlation matrix", "data summary", "sample characteristics", "variable distributions", "描述性统计", "描述统计", "汇总统计", "统计表", "均值标准差", "平衡性检验", "相关矩阵", "样本特征", "变量分布"ProductivityNo warnings★ 4.7K↓ —
- next-ideabreaking-brake/cc-wf-studioRun one unattended IDEATION iteration of the autonomous value-creation loop — invent improvements a user of cc-wf-studio would notice, judge them against the value bar, and file the winners as locked `idea` issues. Never implements anything; the next-task skill builds from the queue this skill fills. Use when the user says "アイデア出して", "next idea", or wants proposals without implementation.ProductivityNo warnings★ 5.4K↓ —
- file-guarda5c-ai/babysitterBabysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestrationProductivityNo warnings★ 1.9K↓ —
- pufferlibforyourhealth111-pixel/Vibe-SkillsThis skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL environments (Gymnasium, PettingZoo, Atari, Procgen, etc.). Use this skill for implementing PPO training, creating PufferEnv environments, optimizing RL performance, or developing policies with CNNs/LSTMs.ProductivityNo warnings★ 3.8K↓ —
- knowledge-stewardforyourhealth111-pixel/Vibe-SkillsAI工作经验知识库管理。适用于用户明确要求'保存到Obsidian'、'记录这个'、'save this insight'、'memo this'、'capture this'等知识沉淀场景。将对话中的提示词、模式、问题修复、想法和效率优化保存到Obsidian知识库，并自动同步到GitHub。ProductivityNo warnings★ 3.8K↓ —
- context-fundamentalsforyourhealth111-pixel/Vibe-SkillsThis skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.ProductivityNo warnings★ 3.8K↓ —
- explaining-machine-learning-modelsforyourhealth111-pixel/Vibe-SkillsExplain trained machine learning models through feature attribution, local explanations, and behavior summaries. Use as an explicit/manual helper once a model already exists, not for training ownership, leakage auditing, or general ML strategy selection.ProductivityNo warnings★ 3.8K↓ —
- jetson-diagnosticNVIDIA/skillsRead-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes.ProductivityNo warnings★ 3.7K↓ —
- jetson-memory-auditNVIDIA/skillsMeasure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data.ProductivityNo warnings★ 3.7K↓ —
- tao-analyze-gaps-od-mapNVIDIA/skillsRun TAO Data Services object-detection gap analysis from ground-truth and inference annotations. Use when an object detection workflow needs to identify weak images by comparing model predictions against ground truth using per-class recall, precision, and AP50 thresholds. Use when the user asks to "analyze OD gaps", "find weak OD images", or "run mAP gap analysis".ProductivityNo warnings★ 3.7K↓ —
- tao-analyze-gaps-vlm-bcqNVIDIA/skillsExtract false-positive and false-negative gaps from VLM binary-classification-question (BCQ, yes/no) predictions. Use when the user asks to "analyze VLM BCQ gaps", "extract VLM false positives and false negatives", or identify failure cases from a predictions JSON for DEFT root-cause analysis on a binary-classification VLM workflow.ProductivityNo warnings★ 3.7K↓ —
- jetson-inference-mem-tuneNVIDIA/skillsPick the serving stack and per-runtime memory flags (vLLM, SGLang, llama.cpp, TensorRT Edge-LLM) for an LLM/VLM workload on any NVIDIA Jetson.ProductivityNo warnings★ 3.7K↓ —
- tao-analyze-detection-kpiNVIDIA/skillsRun TAO Data Services KPI analysis for object detection, comparing inference annotations against ground truth to compute per-class TP/FP/FN/TN, precision, recall, accuracy, and AP at a fixed IoU. Use when an object detection workflow needs per-class mAP reported after inference, or when the user asks to "run KPI analyze", "compute detection mAP", or "score my OD predictions against ground truth".ProductivityNo warnings★ 3.7K↓ —
- ctrl-clipdavepoon/buildwithclaude⧉ Copy a message to the system clipboard cleanly formatted — no blockquote pipes, no terminal bars, no Claude commentary. Use whenever you draft a message the user will paste (Slack, Teams, PR comment, email) to add a clickable "⧉ ctrl + click" copy link under it, and when the user says "/ctrl-clip", "copy that", "put it on the clipboard" (in any language). Optional argument picks the target format: slack (default), md, plain.ProductivityNo warnings★ 3.7K↓ —
- obsidian-markdownanbeime/skill技术写作员与内容创作者在构建Obsidian知识库时，当需要编写带双向链接、Callout或Frontmatter的复杂笔记，使用此技能可精准生成标准Markdown文档，完美支持wikilinks与嵌入，大幅提升知识管理与排版效率！ProductivityNo warnings★ 8.5K↓ —
- json-canvasanbeime/skill产品经理与内容创作者在构建Obsidian知识库或梳理复杂逻辑时，当需要创建思维导图、流程图等可视化画布，使用此技能可自动生成标准.canvas文件，精准配置节点、连线与层级，一键生成完美排版，彻底告别手写JSON的繁琐与报错。ProductivityNo warnings★ 8.5K↓ —