Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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unit-testing
Write comprehensive unit tests for code. Use when asked to (1) write tests for new or existing code, (2) add unit tests, (3) test a function/module/class, (4) verify code still works after changes, (5) create test coverage, or when phrases like "write tests", "add tests", "test this", "make sure this works" appear. Supports Python, JavaScript, R, Rust, Go, C++, SQL, Bash, Ansible, Kubernetes/Kustomize, Docker, and Docker Compose.
jaredlander/freshbooks-speed
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javascript-react
Expert-level JavaScript and React development. Use when asked to (1) write JavaScript code requiring advanced patterns like closures, proxies, generators, or async iterators, (2) build React applications with hooks, context, suspense, or server components, (3) optimize JavaScript/React performance, (4) implement complex state management, (5) write TypeScript with advanced type patterns, or when phrases like "React component", "JavaScript function", "TypeScript", "hooks", "state management", "frontend", "web app" appear.
jaredlander/freshbooks-speed
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github-actions
jaredlander/freshbooks-speed
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code-review
Review code written by Claude Code or humans across multiple languages. Use when asked to review, audit, critique, or analyze code quality. Supports R, Python, JavaScript, SQL, C++, Rust, Go, Ansible, Kustomize/Kubernetes, Dockerfiles, Docker Compose, and Bash. Covers correctness, security, performance, testing, documentation, and architecture. Produces actionable output for Claude Code to fix issues plus human-readable REVIEW.md summaries.
jaredlander/freshbooks-speed
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html
Write semantic, accessible, performant HTML with modern best practices. Use when asked to (1) create HTML pages or documents, (2) write semantic markup, (3) improve accessibility, (4) optimize HTML structure and performance, (5) implement forms, tables, or complex layouts, or when phrases like "HTML page", "web page", "markup", "semantic HTML", "accessibility" appear.
jaredlander/freshbooks-speed
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css
Expert-level CSS development with modern features and best practices. Use when asked to (1) write or debug CSS, (2) implement layouts with flexbox, grid, or container queries, (3) create animations and transitions, (4) optimize CSS performance, (5) work with CSS preprocessors or CSS-in-JS, (6) implement responsive design, or when phrases like "style", "CSS", "stylesheet", "design", "layout", "animation" appear.
jaredlander/freshbooks-speed
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javascript-ember
Expert-level Ember.js development. Use when asked to (1) write Ember.js applications with components, services, routes, or controllers, (2) implement Ember Data models and adapters, (3) work with Ember Octane patterns (Glimmer components, tracked properties, modifiers), (4) optimize Ember application performance, (5) write Ember tests with QUnit or testing-library, or when phrases like "Ember component", "Ember route", "Glimmer", "tracked property", "Ember addon" appear.
jaredlander/freshbooks-speed
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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/deepagents 18,556
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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/deepagents 18,556
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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/deepagents 18,556
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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/deepagents 18,556
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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/deepagents 18,556
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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/deepagents 18,556
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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/deepagents 18,556
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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/deepagents 18,556
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remember
Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback — into persistent memory (AGENTS.md) or reusable skills. Use when the user says: (1) remember this, (2) save what we learned, (3) update memory, (4) capture learnings.
langchain-ai/deepagents 18,556
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skill-creator
Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: (1) create a new skill, (2) make a skill, (3) build a skill, (4) set up a skill, (5) initialize a skill, (6) scaffold a skill, (7) update or modify an existing skill, (8) validate a skill, (9) learn about skill structure, (10) understand how skills work, or (11) get guidance on skill design patterns. Trigger on phrases like "create a skill", "new skill", "make a skill", "skill for X", "how do I create a skill", or "help me build a skill".
langchain-ai/deepagents 18,556
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arxiv-search
Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.
langchain-ai/deepagents 18,556
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langgraph-docs
Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.
langchain-ai/deepagents 18,556
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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/deepagents 18,556
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skill-creator
Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: (1) create a new skill, (2) make a skill, (3) build a skill, (4) set up a skill, (5) initialize a skill, (6) scaffold a skill, (7) update or modify an existing skill, (8) validate a skill, (9) learn about skill structure, (10) understand how skills work, or (11) get guidance on skill design patterns. Trigger on phrases like "create a skill", "new skill", "make a skill", "skill for X", "how do I create a skill", or "help me build a skill".
langchain-ai/deepagents 18,556
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review-python
Comprehensive Python/FastAPI backend code review with optional parallel agents
existential-birds/beagle 44
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review-verification-protocol
Mandatory verification steps for all code reviews to reduce false positives. Load this skill before reporting ANY code review findings.
existential-birds/beagle 44
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sqlalchemy-code-review
Reviews SQLAlchemy code for session management, relationships, N+1 queries, and migration patterns. Use when reviewing SQLAlchemy 2.0 code, checking session lifecycle, relationship() usage, or Alembic migrations.
existential-birds/beagle 44