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Agent Skills

Agent-Skills.md is a agent skills marketplace, to find the right agent skills for you.

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init-simple-memorix

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ruan-cat
ruan-cat
41

init-vscode

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ruan-cat
ruan-cat
41

pr-ruancat-repo

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ruan-cat
ruan-cat
41

release-ai-plugins

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ruan-cat
ruan-cat
41

sync-local-global-agents-skills

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ruan-cat
ruan-cat
41

use-other-model

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ruan-cat
ruan-cat
41

use-pnpm

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ruan-cat
ruan-cat
41

init-playwright

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ruan-cat
ruan-cat
41

init-pure-admin-iconify

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ruan-cat
ruan-cat
41

init-release-base-relizy-and-bumpp

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ruan-cat
ruan-cat
41

init-shadcn-docs-nuxt

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ruan-cat
ruan-cat
41

model-optimization

Quantization, pruning, AutoML, hyperparameter tuning, and performance optimization. Use for improving model performance, reducing size, or automated ML.

pluginagentmarketplace
pluginagentmarketplace
41

deep-learning

Neural networks, CNNs, RNNs, Transformers with TensorFlow and PyTorch. Use for image classification, NLP, sequence modeling, or complex pattern recognition.

pluginagentmarketplace
pluginagentmarketplace
41

computer-vision

Image processing, object detection, segmentation, and vision models. Use for image classification, object detection, or visual analysis tasks.

pluginagentmarketplace
pluginagentmarketplace
41

nlp-processing

Text processing, sentiment analysis, LLMs, and NLP frameworks. Use for text classification, named entity recognition, or language models.

pluginagentmarketplace
pluginagentmarketplace
41

statistical-analysis

Probability, distributions, hypothesis testing, and statistical inference. Use for A/B testing, experimental design, or statistical validation.

pluginagentmarketplace
pluginagentmarketplace
41

reinforcement-learning

Q-learning, DQN, PPO, A3C, policy gradient methods, multi-agent systems, and Gym environments. Use for training agents, game AI, robotics, or decision-making systems.

pluginagentmarketplace
pluginagentmarketplace
41

python-programming

Python fundamentals, data structures, OOP, and data science libraries (Pandas, NumPy). Use when writing Python code, data manipulation, or algorithm implementation.

pluginagentmarketplace
pluginagentmarketplace
41

mlops-deployment

Docker, Kubernetes, CI/CD, model monitoring, and cloud platforms. Use for deploying ML models to production, setting up pipelines, or infrastructure.

pluginagentmarketplace
pluginagentmarketplace
41

machine-learning

Supervised/unsupervised learning, model selection, evaluation, and scikit-learn. Use for building classification, regression, or clustering models.

pluginagentmarketplace
pluginagentmarketplace
41

data-engineering

ETL pipelines, Apache Spark, data warehousing, and big data processing. Use for building data pipelines, processing large datasets, or data infrastructure.

pluginagentmarketplace
pluginagentmarketplace
41

time-series

ARIMA, SARIMA, Prophet, trend analysis, seasonality detection, anomaly detection, and forecasting methods. Use for time-based predictions, demand forecasting, or temporal pattern analysis.

pluginagentmarketplace
pluginagentmarketplace
41

data-visualization

EDA, dashboards, Matplotlib, Seaborn, Plotly, and BI tools. Use for creating visualizations, exploratory analysis, or dashboards.

pluginagentmarketplace
pluginagentmarketplace
41

Dorel Code

Says "Pfaa... da' cine v-a lucrat aici?" before refactoring, improving, or reviewing code

balajmarius
balajmarius
4

run-gemini

向助手发出协助请求,适用于长文阅读理解、网络搜索、网页读取、文章翻译、网页与前端界面制作等任务场景。

LostAbaddon
LostAbaddon
41

commit

当需要对 git repo 生成提交(commit)信息时,务必使用本Skill

LostAbaddon
LostAbaddon
41

run-claude

向助手发出协助请求,适用于需要在隔离的独立环境中执行复杂编程任务、任务规划、文稿撰写的场景。

LostAbaddon
LostAbaddon
41

reminder

当用户提到需要记住的未来任务、约会或事件时创建提醒和日历事件。在诸如"提醒我"、"设置提醒"、"我有个会"、"别忘了"或任何提及未来基于时间的任务时触发。

LostAbaddon
LostAbaddon
41

run-iflow

向助手发出协助请求,适用中华文化理解、中文古文理解、中国特色作品创作、小红书与抖音的宣发文案编写、编写测试用例、信息检索等任务场景,同时也是其他专家助手的强力替补与协助,可以作为大部分认为的备选候补方案。

LostAbaddon
LostAbaddon
41

run-codex

向助手发出协助请求,适用于代码审核、逻辑推理、科学与哲学思考、深度分析、策略制定、市场分析等任务场景。

LostAbaddon
LostAbaddon
41

chinese-output

在输出包含中文字符与中文标点符号、编写中文文档、根据中文文档生成中文的交互回应、回复用户用中文提出的问题或任务、需要进行中文与非中文混排操作等涉及中文文字与标点符号的使用的场景中,必须使用本 Skill 以获得专业的中文字符的操作指导与行为规范引导。

LostAbaddon
LostAbaddon
41

small-council

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Eytan Levit
Eytan Levit
4

managing-google-sheets

Read, write, and update Google Sheets data via CLI. Use when the user asks to read spreadsheet data, update cells, append rows, or work with Google Sheets. Triggers on mentions of spreadsheets, sheets, Google Sheets, tabular data in the cloud, or specific sheet names like "Projects" or "Tasks".

gmickel
gmickel
4

convex

Convex backend development patterns, validators, indexes, actions, queries, mutations, file storage, scheduling, React hooks, and components. Use when writing Convex code, debugging Convex issues, or planning Convex architecture.

gmickel
gmickel
4

oracle

Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.

gmickel
gmickel
4

documentation-rulebook

Standard deployment procedures for production

Stakpak <team@stakpak.dev>
Stakpak <team@stakpak.dev>
41

migrating-bitnami-to-bitnami-legacy

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Stakpak <team@stakpak.dev>
Stakpak <team@stakpak.dev>
41

k3s-backup

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Stakpak <team@stakpak.dev>
Stakpak <team@stakpak.dev>
41

infrastructure-software-upgrades

Generic guidelines on how to perform infrastructure component upgrades in a reliable way

Stakpak <team@stakpak.dev>
Stakpak <team@stakpak.dev>
41

infrastructure-cost-estimation

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Stakpak <team@stakpak.dev>
Stakpak <team@stakpak.dev>
41

how-to-write-rulebooks

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Stakpak <team@stakpak.dev>
Stakpak <team@stakpak.dev>
41

aws-architecture-design

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Stakpak <team@stakpak.dev>
Stakpak <team@stakpak.dev>
41

aws-sso-auth-guide

AWS SSO discovery, configuration, and terminal usage

Stakpak <team@stakpak.dev>
Stakpak <team@stakpak.dev>
41

how-to-publish-paks

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Stakpak <team@stakpak.dev>
Stakpak <team@stakpak.dev>
41

beads-issue-tracker

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Stakpak <team@stakpak.dev>
Stakpak <team@stakpak.dev>
41

cloudflare-tunnel-ec2-deployment

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Stakpak <team@stakpak.dev>
Stakpak <team@stakpak.dev>
41

cloudflare-workers

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Stakpak <team@stakpak.dev>
Stakpak <team@stakpak.dev>
41

coolify-deployment

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Stakpak <team@stakpak.dev>
Stakpak <team@stakpak.dev>
41

dockerization

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Stakpak <team@stakpak.dev>
Stakpak <team@stakpak.dev>
41

ha-load-balancing

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Stakpak <team@stakpak.dev>
Stakpak <team@stakpak.dev>
41

Page 1275 of 1714 · 85664 results

Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.