Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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run-simulations
Use BEFORE and AFTER running trading engine simulations. Helps with: (1) SETUP - choosing configs, selecting segments via segment collections, batch sizing (recommend 2,000-3,000 runs); (2) EXECUTION - running batch simulations with --collection; (3) ANALYSIS - comprehensive diagnostics after runs. Triggers on: 'run simulations', 'test configs', 'batch simulation', 'analyze sim results', 'which configs to test', 'how many segments', 'simulation setup'.
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agent-native-architecture
Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes achieved by agents operating in a loop.
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technical-planning
Plans technical projects with risk-first development, milestone structuring, and managed deferral. Use when planning software projects, defining milestones, structuring development phases, or breaking down complex tasks into manageable iterations.
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xcode-test
Build and test iOS apps on simulator using XcodeBuildMCP
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ebook-extractor
Use when user wants to extract text from ebooks (EPUB, MOBI, PDF). Use for converting ebooks to plain text for analysis, processing, or reading. Handles all common ebook formats.
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modern-web-app-architecture
Use when designing or building modern web applications in JavaScript/TypeScript (SPA/SSR/SSG/ISR/RSC): architecture trade-offs, state/data patterns, performance, testing, delivery, and team scaling.
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workflows-work
Execute work plans efficiently while maintaining quality and finishing features
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heal-skill
Fix incorrect SKILL.md files when a skill has wrong instructions or outdated API references
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documentation-scraper
Use when needing to scrape documentation websites into markdown for AI context. Triggers on "scrape docs", "download documentation", "get docs for [library]", or creating local copies of online documentation. CRITICAL - always analyze sitemap first before scraping.
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resolve_todo_parallel
Resolve all pending CLI todos using parallel processing
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web-design-guidelines
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
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plan_review
Have multiple specialized agents review a plan in parallel
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web-interface-design
Use when designing or reviewing web UI, implementing forms/buttons/inputs, fixing visual hierarchy issues, creating color systems, building layouts, or when interface feels cluttered, hard to read, or users don't know what to click.
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frontend-design
This skill should be used when creating distinctive, production-grade frontend interfaces with high design quality. It applies when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
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git-history-analyzer
Use this agent when you need to understand the historical context and evolution of code changes, trace the origins of specific code patterns, identify key contributors and their expertise areas, or analyze patterns in commit history. This agent excels at archaeological analysis of git repositories to provide insights about code evolution and development patterns. <example>Context: The user wants to understand the history and evolution of recently modified files.\nuser: "I've just refactored the authentication module. Can you analyze the historical context?"\nassistant: "I'll use the git-history-analyzer agent to examine the evolution of the authentication module files."\n<commentary>Since the user wants historical context about code changes, use the git-history-analyzer agent to trace file evolution, identify contributors, and extract patterns from the git history.</commentary></example> <example>Context: The user needs to understand why certain code patterns exist.\nuser: "Why does this payment processing...
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learnings-researcher
Use this agent when you need to search institutional learnings in docs/solutions/ for relevant past solutions before implementing a new feature or fixing a problem. This agent efficiently filters documented solutions by frontmatter metadata (tags, category, module, symptoms) to find applicable patterns, gotchas, and lessons learned. The agent excels at preventing repeated mistakes by surfacing relevant institutional knowledge before work begins.\n\n<example>Context: User is about to implement a feature involving email processing.\nuser: "I need to add email threading to the brief system"\nassistant: "I'll use the learnings-researcher agent to check docs/solutions/ for any relevant learnings about email processing or brief system implementations."\n<commentary>Since the user is implementing a feature in a documented domain, use the learnings-researcher agent to surface relevant past solutions before starting work.</commentary></example>\n\n<example>Context: User is debugging a performance issue.\nuser: "Bri...
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ankane-readme-writer
Use this agent when you need to create or update README files following the Ankane-style template for Ruby gems. This includes writing concise documentation with imperative voice, keeping sentences under 15 words, organizing sections in the standard order (Installation, Quick Start, Usage, etc.), and ensuring proper formatting with single-purpose code fences and minimal prose. Examples: <example>Context: User is creating documentation for a new Ruby gem. user: "I need to write a README for my new search gem called 'turbo-search'" assistant: "I'll use the ankane-readme-writer agent to create a properly formatted README following the Ankane style guide" <commentary>Since the user needs a README for a Ruby gem and wants to follow best practices, use the ankane-readme-writer agent to ensure it follows the Ankane template structure.</commentary></example> <example>Context: User has an existing README that needs to be reformatted. user: "Can you update my gem's README to follow the Ankane style?" assistant: "Let...
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gemini-imagegen
This skill should be used when generating and editing images using the Gemini API (Nano Banana Pro). It applies when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.
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calci-prediction-market
Context and working knowledge for Calci’s prediction-market domain, which is powered by Kalshi. Use this skill whenever the user asks about Calci prediction markets, Kalshi markets, tickers, order books, pricing, settlement, or the Kalshi API/WebSocket.
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spec-flow-analyzer
Use this agent when you have a specification, plan, feature description, or technical document that needs user flow analysis and gap identification. This agent should be used proactively when:\n\n<example>\nContext: The user has just finished drafting a specification for OAuth implementation.\nuser: "Here's the OAuth spec for our new integration:\n[OAuth spec details]"\nassistant: "Let me use the spec-flow-analyzer agent to analyze this OAuth specification for user flows and missing elements."\n<commentary>\nSince the user has provided a specification document, use the Task tool to launch the spec-flow-analyzer agent to identify all user flows, edge cases, and missing clarifications.\n</commentary>\n</example>\n\n<example>\nContext: The user is planning a new social sharing feature.\nuser: "I'm thinking we should add social sharing to posts. Users can share to Twitter, Facebook, and LinkedIn."\nassistant: "This sounds like a feature specification that would benefit from flow analysis. Let me use the spec-f...
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workflows-plan
Transform feature descriptions into well-structured project plans following conventions
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report-bug
Report a bug in the compound-engineering plugin
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reproduce-bug
Reproduce and investigate a bug using logs, console inspection, and browser screenshots
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ripgrep
Use when searching text in files, codebases, books, or documents. Use when finding files by pattern, searching large files that are too big to read fully, extracting specific content from many files, or when grep/find is too slow. Triggers on "search for", "find occurrences", "look for pattern", "search in files".
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