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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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tanstack-integration

Find opportunities to improve web application code using TanStack libraries (Query, Table, Form, Router, etc.). Avoid man-with-hammer syndrome by applying TanStack after vanilla implementation works.

Dicklesworthstone
Dicklesworthstone
6713

cass

Coding Agent Session Search - unified CLI/TUI to index and search local coding agent history from Claude Code, Codex, Gemini, Cursor, Aider, ChatGPT, Pi-Agent, Factory, and more. Purpose-built for AI agent consumption with robot mode.

Dicklesworthstone
Dicklesworthstone
6713

vercel

Deploy and manage Vercel projects, domains, environment variables, and serverless functions using the `vercel` CLI.

Dicklesworthstone
Dicklesworthstone
6713

software-ux-research

Covers user research methods and research ops. Use when running interviews, usability tests, surveys, or A/B tests to de-risk product decisions.

vasilyu1983
vasilyu1983
6715

software-ui-ux-design

Designs and audits UI/UX with WCAG 2.2 accessibility. Use when designing flows, running heuristic reviews, or defining design systems.

vasilyu1983
vasilyu1983
6715

software-security-appsec

AppSec patterns aligned with OWASP Top 10:2025 and NIST SSDF. Use when implementing auth, input validation, crypto, or reviewing security posture.

vasilyu1983
vasilyu1983
6715

software-payments

Production-grade payment integration for Stripe, Paddle, Adyen, and more. Use when implementing checkout, subscriptions, webhooks, or billing.

vasilyu1983
vasilyu1983
6715

software-mobile

Production-grade iOS, Android, and cross-platform mobile dev. Use when building apps, handling auth/push, or preparing App Store releases.

vasilyu1983
vasilyu1983
6715

software-localisation

Production-grade i18n/l10n for React, Vue, Angular, and Next.js with ICU format and RTL support. Use when setting up or debugging localisation.

vasilyu1983
vasilyu1983
6715

software-frontend

Production-grade frontend for Next.js, Vue, Angular, and Svelte. Use when building UI, fixing hydration errors, or setting up a new web project.

vasilyu1983
vasilyu1983
6715

software-csharp-backend

Apply practical C# and .NET backend engineering standards for service implementation, refactoring, and backend-focused code reviews. Use when building or reviewing backend services for language best practices, project and layer boundaries, data-access patterns, resilience controls, observability, security baselines, and common backend anti-pattern detection. For deep NUnit fixture design use $qa-testing-nunit, for NUKE pipeline target work use $ops-nuke-cicd, and for deterministic logging rewrites use $dev-structured-logs.

vasilyu1983
vasilyu1983
6715

software-crypto-web3

Secure blockchain development for EVM, Solana, Cosmos, and TON. Use when building smart contracts, auditing, or integrating on-chain backends.

vasilyu1983
vasilyu1983
6715

software-code-review

Systematic code review patterns and checklists. Use when reviewing PRs or diffs for correctness, security, readability, and maintainability.

vasilyu1983
vasilyu1983
6715

software-clean-code-standard

Cross-language clean code standard with stable CC-* rule IDs. Use when writing/reviewing code, defining team standards, or citing lint findings.

vasilyu1983
vasilyu1983
6715

software-backend

Production-grade backend APIs for Node.js, Python, Go, Rust, and C# with PostgreSQL. Use when building REST/GraphQL/tRPC services or auth.

vasilyu1983
vasilyu1983
6715

agents-project-memory

Configure CLAUDE.md/AGENTS.md/CODEX.md for persistent agent context. Use when setting coding standards or architecture docs for a codebase.

vasilyu1983
vasilyu1983
6715

agents-mcp

Configure and build MCP servers for AI agent tool integration. Use when connecting Claude Code or Codex to databases, APIs, or custom tools.

vasilyu1983
vasilyu1983
6715

agents-hooks

Event-driven hooks for AI coding agents. Use when automating Claude Code or Codex CLI with stdin JSON and decision-control responses.

vasilyu1983
vasilyu1983
6715

ai-ml-timeseries

Time series forecasting — LightGBM, Transformers, temporal validation, feature engineering, and production deployment. Use when building TS models.

vasilyu1983
vasilyu1983
6715

ai-ml-data-science

ML and data science workflows — EDA, feature engineering, modelling, evaluation, and production handoff. Use when exploring data or building models.

vasilyu1983
vasilyu1983
6715

ai-llm

Full LLM lifecycle skill — strategy selection, PEFT/LoRA, evaluation, and deployment. Use when building, fine-tuning, or operating LLM systems.

vasilyu1983
vasilyu1983
6715

ai-llm-inference

LLM inference patterns — latency budgeting, caching, batching, quantization, and parallelism. Use when optimizing serving cost or tail latency.

vasilyu1983
vasilyu1983
6715

ai-agents

Production AI agent patterns covering MCP, RAG, guardrails, observability, and ROI. Use when designing or evaluating agent systems.

vasilyu1983
vasilyu1983
6715

agents-skills

Reference for creating AI agent skills with SKILL.md structure. Use when building or improving modular skill files for Claude Code or Codex.

vasilyu1983
vasilyu1983
6715

ai-rag

RAG and search engineering — chunking, hybrid retrieval, reranking, and nDCG evaluation. Use when building retrieval-augmented generation pipelines.

vasilyu1983
vasilyu1983
6715

ai-prompt-engineering

Prompt engineering for production LLMs — structured outputs, RAG, tool workflows, and safety. Use when designing or debugging prompts for LLM APIs.

vasilyu1983
vasilyu1983
6715

ai-mlops

Production MLOps covering CI/CD, serving, drift monitoring, and GenAI security. Use when deploying or operating ML and LLM systems in production.

vasilyu1983
vasilyu1983
6715

data-sql-optimization

SQL optimization for OLTP systems: EXPLAIN analysis, indexing, schema design, migrations, HA, and security across major SQL platforms.

vasilyu1983
vasilyu1983
6715

data-metabase

Metabase REST API automation: auth, export/upsert cards and dashboards, visualization_settings. Use when scripting Metabase via API.

vasilyu1983
vasilyu1983
6715

data-analytics-engineering

Analytics engineering for reliable metrics and BI readiness. Use when building dbt models, defining metrics, or designing analytics layers.

vasilyu1983
vasilyu1983
6715

agents-subagents

Create AI coding agent subagents with YAML frontmatter and least-privilege tools. Use when designing delegation, tool selection, or safety rules.

vasilyu1983
vasilyu1983
6715

data-lake-platform

Data lake and lakehouse patterns: ingestion, CDC, Iceberg/Delta/Hudi, Trino/DuckDB, orchestration, and governance. Self-hosted and cloud.

vasilyu1983
vasilyu1983
6715

dev-ai-coding-metrics

Measure and optimize AI coding agent impact — adoption tracking, DORA/SPACE for AI teams, ROI frameworks, DX surveys, benchmarking. Use when measuring AI tool effectiveness or building metrics programs.

vasilyu1983
vasilyu1983
6715

agents-swarm-orchestration

Coordinate parallel subagents in dependency-aware waves. Use when executing multi-task plans with Claude Code or Codex agent swarms.

vasilyu1983
vasilyu1983
6715

docs-codebase

Technical writing for READMEs, ADRs, API docs, and changelogs. Use when revising or consolidating a repo documentation folder.

vasilyu1983
vasilyu1983
6715

document-docx

Create/edit .docx files with styles, tables, and templates. Use when asked to generate Word reports, contracts, proposals, or extract text.

vasilyu1983
vasilyu1983
6715

dev-api-design

REST/GraphQL/gRPC/tRPC API design patterns. Use when designing APIs, writing OpenAPI specs, versioning, auth, or rate limiting.

vasilyu1983
vasilyu1983
6715

dev-context-code-graph

Builds per-repo code graphs in JSON and markdown-ready derived artifacts. Use when you need blast radius, symbol-level maps, import graphs, inheritance, or test links.

vasilyu1983
vasilyu1983
6715

dev-context-engineering

Context-driven AI development with AGENTS.md, repo knowledge bases, Claude Code, Codex, and Copilot. Use when adopting repo-native AI workflows or multi-repo setups.

vasilyu1983
vasilyu1983
6715

dev-context-multi-repo

Builds multi-repo context hubs and compiled markdown knowledge maps. Use when profiling repo portfolios or assembling LLM-ready cross-repo knowledge bases.

vasilyu1983
vasilyu1983
6715

dev-dependency-management

Dependency management across npm, pip, cargo, and maven. Use when managing lockfiles, security scanning, versioning, or monorepo workspaces.

vasilyu1983
vasilyu1983
6715

docs-ai-prd

Writes PRDs and specs optimized for coding assistants. Use when authoring requirements or project context for Claude Code, Cursor, or Copilot.

vasilyu1983
vasilyu1983
6715

qa-debugging

Systematic debugging for crashes, regressions, flakes, and production bugs. Use when diagnosing stack traces, logs, traces, or profiling data.

vasilyu1983
vasilyu1983
6715

software-architecture-design

Designs system structure across monolith/microservices/serverless. Use when structuring systems, scaling, decomposing monoliths, or choosing patterns.

vasilyu1983
vasilyu1983
6715

document-pdf

Extract text/tables from PDFs, create formatted PDFs, merge/split/rotate, and handle forms. Use for any PDF generation or parsing task.

vasilyu1983
vasilyu1983
6715

document-pptx

Create/edit .pptx presentations with charts, templates, and speaker notes. Use when asked for pitch decks, QBR decks, or slide automation.

vasilyu1983
vasilyu1983
6715

document-xlsx

Create/edit .xlsx spreadsheets with formulas, charts, and data validation. Use when asked to generate Excel reports, models, or exports.

vasilyu1983
vasilyu1983
6715

ops-devops-platform

DevOps and platform engineering patterns: Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, and cloud-native ops.

vasilyu1983
vasilyu1983
6715

qa-docs-coverage

Audit and enforce doc quality. Use when checking coverage, freshness, runbook validity, or cleaning stale/duplicate markdown after LLM edits.

vasilyu1983
vasilyu1983
6715

ops-nuke-cicd

Design, implement, and troubleshoot NUKE-based CI/CD pipelines for .NET services with fast local-to-CI feedback loops. Use when creating or refactoring `nuke/Build.cs` target graphs, tuning `DependsOn`/`After`/`Triggers`/`OnlyWhenDynamic` behavior, orchestrating unit/API/DB test categories, merging and publishing coverage and test reports, building and pushing Docker images with traceable tags and digests, producing artifact contracts such as `deploy.env`, and diagnosing flaky or slow pipeline execution. For service code changes use $software-csharp-backend, for NUnit fixture design use $qa-testing-nunit, and for safe logging rewrites use $dev-structured-logs.

vasilyu1983
vasilyu1983
6715

Page 725 of 1713 · 85624 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.