Expert build engineer specializing in build system optimization, compilation strategies, and developer productivity. Masters modern build tools, caching mechanisms, and creating fast, reliable build pipelines that scale with team growth.

Resolves build and compilation errors. Use when build fails or type errors occur.

Guidelines for safely understanding, modifying, and extending the weapon build optimization evaluator

Fix build and TypeScript errors with minimal changes

Start a ghcid session to monitor the build. Use when working with Haskell projects, starting ghcid, checking build errors, or searching Haskell documentation with hoogle.

Generate social media posts for building in public, coding in public, or dev content creation. Activate when user mentions Twitter, X, BlueSky, LinkedIn, Instagram posts about coding, sharing progress, social media content for developers, or wants to share what they built.

Build INAV firmware for specific hardware targets (flight controllers)

Automatically log meaningful insights, discoveries, and decisions during coding sessions. Capture non-trivial learnings about edge cases, design decisions, patterns, and implementation details. Activate when building complex code where institutional knowledge should be preserved. Log to .claude/insights/ and help transfer key learnings to CLAUDE.md.

Build professional native iPhone apps in Swift with SwiftUI and UIKit. Full lifecycle development - build, debug, test, optimize, ship. CLI-focused workflow. Use when building iOS apps, adding features, debugging, testing, or optimizing iPhone applications.

build-jira-document-format

Build a kit and publish it to a locally hosted registry for development testing

Build professional native macOS apps in Swift with SwiftUI and AppKit. Full lifecycle development - build, debug, test, optimize, ship. CLI-focused workflow. Use when building macOS apps, adding features, debugging, testing, or optimizing Mac applications.

Validate a capability flow specification against the framework's schema constraints.

Guide for building pMARS (Portable Memory Array Redcode Simulator) and similar software from Debian/Ubuntu source packages. Use this skill when tasks involve enabling source repositories, downloading distribution source packages, removing X11/GUI dependencies, modifying Makefiles, diagnosing segmentation faults, and building headless versions of applications. Applies to Core War simulators and similar legacy software with optional graphics support.

Guidance for compiling POV-Ray 2.2 (a 1990s-era ray tracing software) from source on modern Linux systems. This skill should be used when the task involves downloading, extracting, and building POV-Ray 2.2 or similar legacy/historical software that requires special handling for modern compiler compatibility.

Run local builds with proper environment setup. Use when building code locally to verify changes before pushing.

Manual invocation build specialist - handles compilation, packaging, and build system optimization

Build quality standards, validation checkpoints, and compilation requirements

Build and test the LocalizeAR Swift project using build.sh scripts. Use this skill whenever building, testing, or cleaning the project. NEVER use xcodebuild or swift build directly - always use build.sh.

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Automatically builds and tests code changes. Use whenever code is modified, tests fail, before creating pull requests, or when verifying code quality.

Configure Vite for development and production builds. Use when setting up build pipelines, optimizing bundles, or configuring development servers.

Build tool configuration for tsup, tsx, and bundlers. Use when setting up build pipelines.

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Use this skill when the user says:

builder-role-skill

Unified UV CLI scripts collection with builder-skill_ prefix following IndieDevDan patterns for system analysis, code generation, development tools, and automation

Workflow orchestration skill for builder ecosystem - repo analysis, SPEC creation, and generation workflows for skills, agents, and UV scripts

Guide for creating effective tools for AI agents. Use when building MCP tools, agent APIs, or any tool interface that agents will consume. Focuses on token efficiency, meaningful context, and proper namespacing.

Step-by-step guide for building goal-driven agents. Creates package structure, defines goals, adds nodes, connects edges, and finalizes agent class. Use when actively building an agent.

Best practices, patterns, and examples for building goal-driven agents. Includes pause/resume architecture, hybrid workflows, anti-patterns, and handoff to testing. Use when optimizing agent design.

Expert at creating and modifying Claude Code agents (subagents). Auto-invokes when the user wants to create, update, modify, enhance, validate, or standardize agents, or when modifying agent YAML frontmatter fields (especially 'model', 'tools', 'description'), needs help designing agent architecture, or wants to understand agent capabilities. Also auto-invokes proactively when Claude is about to write agent files (*/agents/*.md), create modular agent architectures, or implement tasks that involve creating agent components.

Builds, tests, and archives Swift packages and Xcode projects for Apple platforms. Use when running xcodebuild, swift build, or swift test commands, discovering schemes and targets, or selecting simulator destinations for iOS, macOS, tvOS, watchOS, or visionOS.

Guide for creating new AEM Edge Delivery blocks or modifying existing blocks. Use this skill whenever you are creating a new block from scratch or making significant changes to existing blocks that involve JavaScript decoration, CSS styling, or content model changes.

building-chat-interfaces

building-chatgpt-apps

Constructs secure, efficient CI/CD pipelines with supply chain security (SLSA), monorepo optimization, caching strategies, and parallelization patterns for GitHub Actions, GitLab CI, and Argo Workflows. Use when setting up automated testing, building, or deployment workflows.

Use this skill when creating new Claude Code skills from scratch, editing existing skills to improve their descriptions or structure, or converting Claude Code sub-agents or slash commands to skills. This includes designing skill workflows, writing SKILL.md files, organizing supporting files with intention-revealing names, and leveraging CLI tools and appropriate scripting.

Use when building command-line interface tools; when choosing argument parsing libraries; when handling stdin/stdout/stderr patterns; when implementing subcommands; when tests for CLI apps fail or are missing

Build professional command-line interfaces in Python, Go, and Rust using modern frameworks like Typer, Cobra, and clap. Use when creating developer tools, automation scripts, or infrastructure management CLIs with robust argument parsing, interactive features, and multi-platform distribution.

Expert at creating and modifying Claude Code slash commands. Auto-invokes when the user wants to create, update, modify, enhance, validate, or standardize slash commands, or when modifying command YAML frontmatter fields (especially 'model', 'allowed-tools', 'description'), needs help designing command workflows, or wants to understand command arguments and parameters. Also auto-invokes proactively when Claude is about to write command files (*/commands/*.md), or implement tasks that involve creating slash command components.

Create markdown indexes of GitHub repositories optimized for Claude project knowledge. Indexes enable retrieval of source content (.md, .qmd, .ipynb) via GitHub API without parsing rendered HTML/CSS/J

Use when creating reusable GitLab CI/CD configurations, building component catalog entries, or packaging pipeline templates for sharing - provides systematic guide following GitLab documentation to avoid missing required files, directory structure, input specifications, or testing/publishing configuration

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LangGraph development for stateful multi-agent applications, cyclic workflows, conditional routing, human-in-the-loop patterns, and persistent state management. Use for complex AI orchestration, agent coordination, and production-grade agentic systems.

building-mcp-servers

Use when building MCP servers in TypeScript, Python, or C#; when implementing tools, resources, or prompts; when configuring Streamable HTTP transport; when migrating from SSE; when adding OAuth authentication; when seeing MCP protocol errors

Comprehensive architecture patterns for multi-agent systems where AI agents coordinate to accomplish complex tasks using tools. Language-agnostic and applicable across TypeScript, Python, Go, Rust, an

building-nextjs-apps

Expert at creating and managing Claude Code plugins that bundle agents, skills, commands, and hooks into cohesive packages. Auto-invokes when the user wants to create, structure, validate, or publish a complete plugin, or needs help with plugin architecture and best practices. Also auto-invokes proactively when Claude is about to create plugin directory structures, write plugin.json manifests, or implement tasks that involve bundling components into a plugin package.