Interactive conversational guidance - user implements with step-by-step advice. Use when you want hands-on implementation with expert guidance while maintaining control.

adw-bootstrap

Mobile app development conventions for Adynato projects using React Native and Expo. Covers navigation patterns, native APIs, performance optimization, and platform-specific considerations. Use when building or modifying mobile applications.

Vercel deployment and configuration for Adynato projects. Covers environment variables, vercel.json, project linking, common errors like VERCEL_ORG_ID/VERCEL_PROJECT_ID, and CI/CD setup. Use when deploying to Vercel, configuring builds, or troubleshooting deployment issues.

Enhanced architecture guidance for voice-first Brazilian fintech applications. Use when designing voice interfaces, implementing PIX/Boletos, optimizing financial systems, or making technology stack decisions for Brazilian market applications. Integrates with docs/ content, MCP tools for Brazilian market research, enhanced validation scripts, and comprehensive Brazilian compliance patterns.

Complete AeroSpace tiling window manager configuration assistant for macOS. Use for any AeroSpace configuration task including keybindings, workspace management, window rules, layouts (BSP, columns, rows, accordion), focus behavior, gaps, floating windows, app-specific settings, exec commands, or any window management customization. Also use for debugging and troubleshooting AeroSpace issues including log inspection, window state analysis, and diagnosing layout problems. This skill fetches fresh documentation for each request to ensure accurate, up-to-date guidance.

Mandatory knowledge capture after completing work. Documents solution in Graphiti and tracks effectiveness for system improvement.

Master orchestration patterns, multi-agent coordination, and effective workflow composition using the Agency plugin's 51+ specialized agents. Activate when planning complex implementations, coordinating multiple agents, or optimizing development workflows.

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Expert agent organizer specializing in multi-agent orchestration, team assembly, and workflow optimization. Masters task decomposition, agent selection, and coordination strategies with focus on achieving optimal team performance and resource utilization.

Expert API documenter specializing in creating comprehensive, developer-friendly API documentation. Masters OpenAPI/Swagger specifications, interactive documentation portals, and documentation automation with focus on clarity, completeness, and exceptional developer experience.

Guide for authoring specialized AI agents. Use when creating, updating, or improving agents, choosing models, defining focus areas, configuring tools, or learning agent best practices.

Current state of CI/CD automation infrastructure, pre-built Docker images, and performance optimization strategies. Use when dealing with slow builds, container timeouts, yarn install issues, or when you need to understand available pre-built images and automation tooling.

Canonical skills live in categorized folders below. Each tool loads skills via the flat symlink directory at `~/dev/agent-skills/skills`.

AI-optimized browser automation CLI with context-efficient snapshots. Use for long autonomous sessions, self-verifying workflows, video recording, and cloud browser testing (Browserbase).

Use when creating, improving, or troubleshooting Claude Code subagents. Expert guidance on agent design, system prompts, tool access, model selection, and best practices for building specialized AI assistants.

Comprehensive documentation of Claude's capabilities for visual regression testing, CI/CD integration, and quality assurance automation. Use when setting up testing infrastructure, implementing visual regression, or understanding agent testing capabilities. (project)

A2A agent card JSON templates with schema validation and examples for different agent types. Use when creating agent cards, implementing A2A protocol discovery, setting up agent metadata, configuring authentication schemes, defining agent capabilities, or when user mentions agent card, agent discovery, A2A metadata, service endpoint configuration, or agent authentication setup.

Expert chaos engineer specializing in controlled failure injection, resilience testing, and building antifragile systems. Masters chaos experiments, game day planning, and continuous resilience improvement with focus on learning from failure.

Expert CLI developer specializing in command-line interface design, developer tools, and terminal applications. Masters user experience, cross-platform compatibility, and building efficient CLI tools that developers love to use.

Generates Agent definitions (.md files) based on user intent and standard templates.

Refactor Codex configuration files and Agent Skills by splitting concerns, deduplicating instructions, and reorganizing guidance across AGENTS.md, project docs, and skills. Use when asked to clean up AGENTS.md, move instructions into skill bundles, or standardize agent setup rules.

Agent assignment matrix, blocker escalation, and TDM coordination patterns. Use when assigning work to specialists, managing blockers, or coordinating multi-agent workflows.

Check agent configuration coverage across hierarchy levels and phases. Use to ensure complete agent system coverage.

Creates specialized AI agents with optimized system prompts using the official 4-phase SOP methodology from Desktop .claude-flow, combined with evidence-based prompting techniques and Claude Agent SDK implementation. Use this skill when creating production-ready agents for specific domains, workflows, or tasks requiring consistent high-quality performance with deeply embedded domain knowledge.

Expert database administrator specializing in high-availability systems, performance optimization, and disaster recovery. Masters PostgreSQL, MySQL, MongoDB, and Redis with focus on reliability, scalability, and operational excellence.

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Expert dependency manager specializing in package management, security auditing, and version conflict resolution across multiple ecosystems. Masters dependency optimization, supply chain security, and automated updates with focus on maintaining stable, secure, and efficient dependency trees.

Expert deployment engineer specializing in CI/CD pipelines, release automation, and deployment strategies. Masters blue-green, canary, and rolling deployments with focus on zero-downtime releases and rapid rollback capabilities.

Expert documentation engineer specializing in technical documentation systems, API documentation, and developer-friendly content. Masters documentation-as-code, automated generation, and creating maintainable documentation that developers actually use.

Expert developer experience optimizer specializing in build performance, tooling efficiency, and workflow automation. Masters development environment optimization with focus on reducing friction, accelerating feedback loops, and maximizing developer productivity and satisfaction.

Expert error coordinator specializing in distributed error handling, failure recovery, and system resilience. Masters error correlation, cascade prevention, and automated recovery strategies across multi-agent systems with focus on minimizing impact and learning from failures.

Design and implement evaluation frameworks for AI agents. Use when testing agent reasoning quality, building graders, doing error analysis, or establishing regression protection. Framework-agnostic concepts that apply to any SDK.

Create specialized agent experts with pre-loaded domain knowledge using the Act-Learn-Reuse pattern. Use when building domain-specific agents that maintain mental models via expertise files and self-improve prompts.

Agent parameter passing, memory files, and data handoffs between agents

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Initialize or improve AGENTS.md files that define how coding agents operate in a repo. Use when asked to set up or replace an agent init command (Codex, Claude), standardize multi-agent behavior, or audit an existing AGENTS.md for clarity, commands, boundaries, and repo-specific context. For Claude Code, also create CLAUDE.md as a symlink to AGENTS.md.

Launches specialized Claude agents for targeted tasks. Analyzes requirements, selects appropriate agent, and executes with optimized configuration.

Expert ML engineer specializing in machine learning model lifecycle, production deployment, and ML system optimization. Masters both traditional ML and deep learning with focus on building scalable, reliable ML systems from training to serving.

Expert MLOps engineer specializing in ML infrastructure, platform engineering, and operational excellence for machine learning systems. Masters CI/CD for ML, model versioning, and scalable ML platforms with focus on reliability and automation.

Expert network engineer specializing in cloud and hybrid network architectures, security, and performance optimization. Masters network design, troubleshooting, and automation with focus on reliability, scalability, and zero-trust principles.

Create .agent/baseline.md and later compare against it. Use when capturing baseline build/lint/test results or investigating newly introduced findings.

Create/update .agent/constitution.md. Use when commands/boundaries/constraints must be confirmed before baseline or code changes. Draft v0 from repo evidence, then interview user.

Create focused, specific technical documentation for codebase sections. Analyzes code, identifies topics, presents options before writing. Supports code blocks with line numbers.

Dogfooding discovery agent — establish human-approved project baseline from public docs without code inspection

Analyze issues to identify the next work item and update focus.md. Enforces issue-first workflow and confidence-based batch limits.

Generate narrative summaries from git history for onboarding, retrospectives, changelogs, and exploration. LLM-enhanced when available, works without LLM too.

Manage git worktrees for isolated development. Create, list, remove, and work in worktrees.

Implement only after a validated/approved plan. Use for coding: small diffs, frequent tests, no refactors, stop on ambiguity.

Identify and map different sections of a software project (API, frontend, database, CLI, domain). Use for context scoping and architecture documentation.