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.
13,822 skills from 406 repositories · updated 56 seconds ago
1,060 skills
- tablebrycewang-stanford/Auto-Empirical-Research-SkillsEconometrics skill for creating publication-quality LaTeX regression and summary tables. Activates when the user asks about: "regression table", "LaTeX table", "esttab", "stargazer", "modelsummary", "publication table", "format results", "multi-panel table", "journal table", "export regression results", "table formatting", "回归表格", "LaTeX表格", "结果导出", "论文表格", "回归结果格式化", "多模型表格"ProductivityNo warnings★ 4.7K↓ —
- 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↓ —
- c5brycewang-stanford/Auto-Empirical-Research-SkillsMeta-Analysis Master with Data Integrity, Effect Size, Error Prevention & Sensitivity Multi-gate validation and workflow orchestration for meta-analysis. Absorbed C6 (Data Integrity Guard), C7 (Error Prevention Engine), B3 (Effect Size Extractor), E5 (Sensitivity Analysis - Meta) capabilities Triggers: meta-analysis, pooled effect, heterogeneity, forest plot, funnel plot, Hedges g, data integrity, effect size extraction, sensitivity analysisProductivityNo 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↓ —
- 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↓ —
- workflow-schema-tuningbreaking-brake/cc-wf-studioUse when modifying `resources/workflow-schema.json` in cc-wf-studio to influence how AI agents generate workflows via the cc-workflow-ai-editor skill. Triggers include "AIが特定のノードタイプを選んでくれない", "ワークフロー生成のバイアスを調整したい", "スキーマの description を変えたい", "新しいノードタイプを追加したい", "嘘の制約がスキーマに混じっていないか確認したい". Covers what the schema actually does (instructions to AI, not runtime constraints), the design philosophy (align direction, do not prescribe rules), the build pipeline (.json → .toon auto-generated), and known bias sources to audit.ProductivityNo warnings★ 5.4K↓ —
- diverga-memorybrycewang-stanford/Auto-Empirical-Research-SkillsDiverga Memory System v7.0 - Context-persistent research support with checkpoint auto-trigger and cross-session continuity. Triggers: memory, remember, context, recall, checkpoint, decision, persist, 기억, 맥락, 세션, 체크포인트ProductivityNo 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↓ —
- 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↓ —
- estimatebrycewang-stanford/Auto-Empirical-Research-SkillsRun a structural estimation pipeline — routes to /workflows:work with estimation context from empirical-playbookProductivityNo warnings★ 4.7K↓ —
- rebuttalbrycewang-stanford/Auto-Empirical-Research-SkillsWorkflow 4: Submission rebuttal pipeline. Parses external reviews, enforces coverage and grounding, drafts a safe text-only rebuttal under venue limits, and manages follow-up rounds.ProductivityNo warnings★ 4.7K↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- jetson-diagnosticNVIDIA/skillsRead-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes.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↓ —
- 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↓ —
obsidian-bases
anbeime/skill
ProductivityUpdated 5 hours ago
From the author
内容创作者与技术写作员在管理海量笔记时，当需要构建 Obsidian 数据库视图、配置过滤器或编写 YAML 公式，使用此技能可自动生成标准 .base 文件，轻松实现笔记的表格/卡片多维展示与数据汇总，让知识库管理效率翻倍。
Install
npx skills add anbeime/skill --skill obsidian-bases -a claude-code
Installs to .claude/skills/obsidian-bases/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (No licence) does not let us redistribute its files. The install commands fetch them from GitHub instead.
What it can touch
Instructions onlyNo network use seenLicence: no licence
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Why 84
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Provenance87
Maintenance100
Licence25
Adoption62
Files (1)
- SKILL.md