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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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schema-exploration

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.

langchain-ai
langchain-ai
17,3922,442

query-writing

Writes and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries. Use when the user asks to query a database, write SQL, run a SELECT statement, retrieve data, filter records, or generate reports from database tables.

langchain-ai
langchain-ai
17,3922,442

gpu-document-processing

Use when processing large PDFs, document collections, or bulk text extraction tasks that benefit from GPU-accelerated processing. Triggers when the user provides large documents or needs bulk document analysis.

langchain-ai
langchain-ai
17,3922,442

data-visualization

Use for creating publication-quality charts and multi-panel analysis summaries. Triggers when tasks involve visualizing data, plotting results, creating charts, or producing visual reports from analysis output.

langchain-ai
langchain-ai
17,3922,442

cuml-machine-learning

Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML. Triggers when tasks involve classification, regression, clustering, dimensionality reduction, or model training on datasets.

langchain-ai
langchain-ai
17,3922,442

cudf-analytics

Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF. Triggers when tasks involve groupby aggregations, statistical summaries, anomaly detection, or large-scale data profiling.

langchain-ai
langchain-ai
17,3922,442

social-media

Drafts engaging social media posts, writes hooks, suggests hashtags, creates thread structures, and generates companion images. Use when the user asks to write a LinkedIn post, tweet, Twitter/X thread, social media caption, social post, or repurpose content for social platforms.

langchain-ai
langchain-ai
17,3922,442

blog-post

Writes and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation. Use when the user asks to write a blog post, article, how-to guide, tutorial, technical writeup, thought leadership piece, or long-form content.

langchain-ai
langchain-ai
17,3922,442

web-research

Searches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents. Use when the user asks to research a topic online, search the web, look something up, find current information, compare options, or produce a research report.

langchain-ai
langchain-ai
17,3922,442

pi-planning-with-files

Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring >5 tool calls. Supports automatic session recovery after /clear.

othmanadi
othmanadi
17,0391,547

planning-with-files-zht

基於 Manus 風格的檔案規劃系統,用於組織和追蹤複雜任務的進度。建立 task_plan.md、findings.md 和 progress.md 三個檔案。當使用者要求規劃、拆解或組織多步驟專案、研究任務或需要超過5次工具呼叫的工作時使用。支援 /clear 後的自動會話恢復。觸發詞:任務規劃、專案計畫、制定計畫、分解任務、多步驟規劃、進度追蹤、檔案規劃、幫我規劃、拆解專案

othmanadi
othmanadi
17,0391,547

planning-with-files

Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring >5 tool calls. Supports automatic session recovery after /clear.

othmanadi
othmanadi
17,0391,547

planning-with-files-zh

基于 Manus 风格的文件规划系统,用于组织和跟踪复杂任务的进度。创建 task_plan.md、findings.md 和 progress.md 三个文件。当用户要求规划、拆解或组织多步骤项目、研究任务或需要超过5次工具调用的工作时使用。支持 /clear 后的自动会话恢复。触发词:任务规划、项目计划、制定计划、分解任务、多步骤规划、进度跟踪、文件规划、帮我规划、拆解项目

othmanadi
othmanadi
17,0391,547

advanced-evaluation

This skill should be used for advanced LLM evaluation: LLM-as-judge systems, direct scoring, pairwise comparison, rubric calibration, evaluator bias mitigation, confidence scoring, and automated quality assessment.

muratcankoylan
muratcankoylan
16,8851,382

project-development

This skill should be used for project-level decisions about LLM-powered systems: whether an LLM is the right primitive for the task at hand, the shape of a multi-stage batch or agent pipeline, token and cost estimation, choosing between single-agent and multi-agent at the project level, structured output design for downstream parsing, and structuring agent-assisted iteration. Use this when the unit of work is a whole project or a multi-stage pipeline. Route individual tool design to tool-design and individual skill-loading or context-budget tactics to context-optimization.

muratcankoylan
muratcankoylan
16,8851,382

tool-design

This skill should be used for the tool-interface layer of an agent system specifically: writing tool descriptions agents can route on, designing tool schemas and response formats, naming conventions, actionable error recovery messages, MCP server design, tool-set consolidation, and deciding when to add or remove an individual tool. Use this when the unit of work is a single tool or a set of tools. Route project-shape, pipeline architecture, and task-model-fit decisions to project-development; route deciding whether to introduce sub-agents to multi-agent-patterns.

muratcankoylan
muratcankoylan
16,8851,382

bdi-mental-states

This skill should be used when modeling agent mental states with BDI concepts: beliefs, desires, intentions, RDF-to-belief transformations, rational agency traces, cognitive agents, BDI ontologies, and neuro-symbolic AI integration.

muratcankoylan
muratcankoylan
16,8851,382

context-compression

This skill should be used when long-running agent sessions need context compression, structured summarization, compaction, token-per-task optimization, or durable handoff summaries that preserve decisions, files, risks, and next actions.

muratcankoylan
muratcankoylan
16,8851,382

context-fundamentals

This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development.

muratcankoylan
muratcankoylan
16,8851,382

evaluation

This skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, baseline comparison, and outcome measurement for agent pipelines.

muratcankoylan
muratcankoylan
16,8851,382

filesystem-context

This skill should be used when agent work needs file-backed context: durable scratchpads, tool-output offloading, just-in-time discovery, cross-agent handoff files, filesystem memory, or cleanup policies for context stored outside the prompt.

muratcankoylan
muratcankoylan
16,8851,382

hosted-agents

This skill should be used when designing hosted or background agent infrastructure: sandboxed execution, remote coding environments, warm pools, session persistence, multiplayer collaboration, self-spawning agents, or Modal-style sandboxes.

muratcankoylan
muratcankoylan
16,8851,382

memory-systems

This skill should be used for persistent semantic memory in agent systems: cross-session knowledge retention, entity tracking, temporal validity, graph or vector retrieval, memory consolidation, and memory benchmark selection. Route file-backed scratchpads to filesystem-context, handoff summaries to context-compression, and token-efficiency tactics to context-optimization.

muratcankoylan
muratcankoylan
16,8851,382

multi-agent-patterns

This skill should be used when designing multi-agent systems that need context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, or a decision on whether multiple agents are justified.

muratcankoylan
muratcankoylan
16,8851,382

context-degradation

This skill should be used for diagnosing and mitigating context degradation: lost-in-middle failures, context poisoning, context clash, context confusion, attention-pattern issues, and agent performance degradation caused by accumulated or conflicting context.

muratcankoylan
muratcankoylan
16,8851,382

context-optimization

This skill should be used for improving context efficiency: context budgeting, observation masking, prefix or KV-cache strategy, partitioning, token-cost reduction, retrieval scoping, and extending effective context capacity without lowering answer quality.

muratcankoylan
muratcankoylan
16,8851,382

harness-engineering

This skill should be used when designing autonomous agent harnesses: research loops, evaluation scaffolds, locked and editable surfaces, durable logs, novelty gates, pruning, rollback, PR preparation, and human approval boundaries.

muratcankoylan
muratcankoylan
16,8851,382

latent-briefing

This skill should be used when the user asks to \"share memory between agents\", \"KV cache compaction for multi-agent\", \"orchestrator worker context\", \"latent briefing\", \"reduce worker tokens\", \"cross-agent memory without summarization\", or discusses Attention Matching compaction, recursive language models with workers, or token explosion in hierarchical agents.

muratcankoylan
muratcankoylan
16,8851,382

obsidian-bases

Create 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.

kepano
kepano
16,761952

obsidian-cli

Interact with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more. Also supports plugin and theme development with commands to reload plugins, run JavaScript, capture errors, take screenshots, and inspect the DOM. Use when the user asks to interact with their Obsidian vault, manage notes, search vault content, perform vault operations from the command line, or develop and debug Obsidian plugins and themes.

kepano
kepano
16,761952

json-canvas

Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.

kepano
kepano
16,761952

obsidian-markdown

Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.

kepano
kepano
16,761952

defuddle

Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page.

kepano
kepano
16,761952

write-script-powershell

MUST use when writing PowerShell scripts.

windmill-labs
windmill-labs
16,266927

write-script-nativets

MUST use when writing Native TypeScript scripts.

windmill-labs
windmill-labs
16,266927

write-script-php

MUST use when writing PHP scripts.

windmill-labs
windmill-labs
16,266927

write-script-rlang

MUST use when writing R scripts.

windmill-labs
windmill-labs
16,266927

write-script-java

MUST use when writing Java scripts.

windmill-labs
windmill-labs
16,266927

write-script-graphql

MUST use when writing GraphQL queries.

windmill-labs
windmill-labs
16,266927

write-script-go

MUST use when writing Go scripts.

windmill-labs
windmill-labs
16,266927

write-script-duckdb

MUST use when writing DuckDB queries.

windmill-labs
windmill-labs
16,266927

write-script-deno

MUST use when writing Deno/TypeScript scripts.

windmill-labs
windmill-labs
16,266927

write-script-csharp

MUST use when writing C# scripts.

windmill-labs
windmill-labs
16,266927

write-script-bunnative

MUST use when writing Bun Native scripts.

windmill-labs
windmill-labs
16,266927

write-script-bun

MUST use when writing Bun/TypeScript scripts.

windmill-labs
windmill-labs
16,266927

write-script-bigquery

MUST use when writing BigQuery queries.

windmill-labs
windmill-labs
16,266927

write-script-bash

MUST use when writing Bash scripts.

windmill-labs
windmill-labs
16,266927

local-review

Code review a pull request for bugs and CLAUDE.md compliance. MUST use when asked to review code.

windmill-labs
windmill-labs
16,266927

write-script-mysql

MUST use when writing MySQL queries.

windmill-labs
windmill-labs
16,266927

write-script-mssql

MUST use when writing MS SQL Server queries.

windmill-labs
windmill-labs
16,266927

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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.