Organize specs and tasks across multiple Azure DevOps projects with intelligent content-based mapping. Use when working with project-per-team, area-path-based, or team-based ADO architectures. Handles cross-project coordination and folder structure organization.

Windows and Git Bash compatibility guidance for Azure Pipelines. Covers path conversion issues, shell detection in pipeline scripts, MINGW/MSYS path handling, Windows agent configuration, cross-platform script patterns, and troubleshooting common Windows-specific pipeline failures.

'Expert guidance for Adobe Express add-on development using Document APIs, Add-on UI SDK, and Document Sandbox. Use when building Adobe Express extensions, creating add-ons, working with express-document-sdk, implementing document manipulation, designing add-on UIs with Spectrum Web Components, troubleshooting iframe/sandbox communication, or accessing Adobe Express documentation and API references via MCP server.'

Add ADR references to code for traceability. TRIGGERS - ADR traceability, code reference, document decision in code.

Create Architecture Decision Records (ADRs) that document significant technical decisions for the Fantasy Football Analytics project following the established ADR format and workflow.

Specialized skill for generating and managing Architecture Decision Records (ADRs). Supports Nygard, MADR, and custom templates with auto-numbering, linking, and status management.

Manage Architecture Decision Records (ADRs) throughout their lifecycle: read existing decisions, write new ones, and ensure development aligns with documented decisions.

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Advanced debugging skill for MyJKKN project. Specialized workflows for debugging Next.js 15, Supabase, React Query, TypeScript, and service layer issues. Includes automated analysis tools, common error patterns, and step-by-step troubleshooting guides for reducing debugging time. Use when investigating bugs, errors, performance issues, or unexpected behavior. (project)

Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.

Implement advanced task features - Priorities, Tags, Due Dates, Reminders, Recurring Tasks, Search, Filter, and Sort. Use when adding Phase 5 advanced functionality. (project)

Advanced GetX features including Workers, GetxService, SmartManagement, GetConnect, GetSocket, bindings composition, and testing patterns

Implement AI-powered statusline with session tracking, plan detection, workspace emojis, and intelligent caching for Claude Code

Production-grade text search algorithms for finding and matching text in large documents with millisecond performance. Includes Boyer-Moore search, n-gram similarity, fuzzy matching, and intelligent indexing. Use when building search features for large documents, finding quotes with imperfect matches, implementing fuzzy search, or need character-level precision.

Advanced TypeScript patterns for TMNL. Covers conditional types, mapped types, branded types, generic constraints, type inference, and utility type composition. Pure TypeScript patterns beyond Effect Schema.

Generate adversarial inputs, edge cases, and boundary test payloads for stress-testing LLM robustness

Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree. Use when user wants to write or refine a specification document using adversarial development.

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

GitHub workflow conventions for Adynato projects. Covers creating PRs with gh CLI, writing thorough descriptions, and using stacked PRs for large deliverables. Use when creating pull requests, managing branches, or breaking down large features.

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.

Required workflow for AEM EDS development - linting, testing, preview validation, and PRs with demo links. Use when developing blocks or features for AEM Edge Delivery Services projects, before doing anything else.

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.

Create aesthetic templates without first creating a plugin - capture visual design concepts through adaptive questioning. Use when you want to build a library of visual systems before plugin implementation.

Distributed evolutionary memory system using Merkle-DAG branching timelines, holographic erasure coding, and stake-weighted consensus to maintain coherent collective history across thousands of agents despite forking narratives and temporal relativity.

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

Guides creation of high-quality Agent Skills with domain expertise, anti-pattern detection, and progressive disclosure best practices. Use when creating skills, reviewing existing skills, or when users mention improving skill quality, encoding expertise, or avoiding common AI tooling mistakes. Activate on keywords: create skill, review skill, skill quality, skill best practices, skill anti-patterns. NOT for general coding advice or non-skill Claude Code features.

Analyze and optimize AGC (Automatic Gain Control) parameters for WaveCap-SDR channels. Use when audio is too quiet, too loud, has pumping artifacts, or when tuning AGC attack/release/target settings for FM/AM/SSB modes.

Extract agency data and generate a branded demo landing page with real-time progress updates. Optimized for speed and conversion.

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.

Create Claude Desktop skills from descriptions, SOPs, or existing agents. Three modes - create from scratch, convert SOPs to skills, or migrate agents to skill format. Outputs ready-to-deploy .zip packages.

agent-assistant

Validates agent configurations for model selection, tool permissions, focus areas, and approach quality. Use when reviewing, auditing, improving agents, or learning agent best practices.

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

Safely sync navigator's agent-browser fork with upstream vercel-labs/agent-browser, analyze changes, and generate integration documentation

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

Used to create a new agent. Used when a user wants to create a new agent

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.

Compile a chronological record of key decisions, architectural changes, and project evolution optimized for coding agent context-building.

Validates agent definitions against the Antigravity audit rubric.

Generate project-level AGENTS.md guides that capture conventions, workflows, and required follow-up tasks. Use when a repository needs clear agent onboarding covering structure, tooling, testing, task flow, README expectations, and conventional commit summaries.

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

Coordinate multiple specialized Skills and Task Agents through parallel, sequential, swarm, hybrid, or iterative execution strategies. CRITICAL - Skills use Skill tool (rust-code-quality, architecture-validation, plan-gap-analysis), Task Agents use Task tool (code-reviewer, test-runner, debugger, loop-agent). Use this when orchestrating multi-worker workflows, managing dependencies, or optimizing complex task execution with quality gates.

Real-time cost tracking, budget enforcement, and ROI measurement for AI agent operations. Track token usage, predict costs, enforce budget caps ($50-70/month typical), optimize model selection, cache results, measure cost-to-value. Use when tracking AI costs, preventing budget overruns, optimizing spend, measuring ROI, or ensuring cost-effective AI operations.

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.

Structured cross-review protocol between specialized agents. Ensures scope alignment, priority calibration, and domain-aware feedback. Use when one agent reviews another's work, during handoffs, or when validating cross-cutting concerns.