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

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.

Agent Client Protocol (ACP) - Standardized communication between code editors and AI coding agents. Use for building ACP-compatible agents, integrating agents with editors (Zed, JetBrains, Neovim), implementing tool calls, file operations, and session management.

Expert code reviewer specializing in code quality, security vulnerabilities, and best practices across multiple languages. Masters static analysis, design patterns, and performance optimization with focus on maintainability and technical debt reduction.

Analyze changes and create a meaningful commit with agent authorship. Internal skill for evolve_loop.

Open protocol for AI agent interoperability enabling standardized communication between agents, applications, and humans across different frameworks

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.

Validate AgentConfig definitions for the Agent Framework. Use when creating or modifying agent configurations to ensure correct structure, valid tool references, and proper sub-agent composition. Validates TypeScript interfaces and Python Pydantic models.

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.

Expert C++ developer specializing in modern C++20/23, systems programming, and high-performance computing. Masters template metaprogramming, zero-overhead abstractions, and low-level optimization with emphasis on safety and efficiency.

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.

Agent Curator Skill

'Create, update, review, fix, or debug VS Code agent customization files (.instructions.md, .prompt.md, .agent.md, SKILL.md, copilot-instructions.md, AGENTS.md). Use for: saving coding preferences; troubleshooting why instructions/skills/agents are ignored or not invoked; configuring applyTo patterns; defining tool restrictions; creating custom agent modes or specialized workflows; packaging domain knowledge; fixing YAML frontmatter syntax.'

Expert data engineer specializing in building scalable data pipelines, ETL/ELT processes, and data infrastructure. Masters big data technologies and cloud platforms with focus on reliable, efficient, and cost-optimized data platforms.

Expert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition with focus on extracting meaningful insights from complex datasets to support evidence-based decisions.

Expert debugger specializing in complex issue diagnosis, root cause analysis, and systematic problem-solving. Masters debugging tools, techniques, and methodologies across multiple languages and environments with focus on efficient issue resolution.

Debug and troubleshoot ElevenLabs conversational AI agents and Twilio calls. Use when diagnosing agent issues, analyzing failed calls, troubleshooting audio problems, investigating conversation breakdowns, reviewing error logs, or optimizing underperforming agents. Includes transcript analysis, error diagnosis, and performance troubleshooting.

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Implement CI/CD pipelines for AgentStack agents with evaluation-based safety gates, GitOps workflows, and progressive rollouts.

Design AI agents with recommended patterns and architectures

AI agent development standards including frontmatter structure, naming conventions, tool access patterns, model selection, and Bash-only file operations for .opencode/ folders

Expert DevOps engineer bridging development and operations with comprehensive automation, monitoring, and infrastructure management. Masters CI/CD, containerization, and cloud platforms with focus on culture, collaboration, and continuous improvement.

Discovers all Claude Code agents in the system including built-in, plugin, project, and user-level agents. Use when you need to find which agents are available, understand the agent ecosystem, or prepare agents for Actoris registration.

Expert Django developer mastering Django 4+ with modern Python practices. Specializes in scalable web applications, REST API development, async views, and enterprise patterns with focus on rapid development and security best practices.

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.

Standardized reference documentation section structure for agents - project guidance, conventions, related agents, and Skills. Use when implementing or updating agent documentation.

Expert .NET Core specialist mastering .NET 8 with modern C# features. Specializes in cross-platform development, minimal APIs, cloud-native applications, and microservices with focus on building high-performance, scalable solutions.

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.

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.

Upload tailored resume to cloud or attach to user session. Handles final formatting and delivery.

Extends the Strategy Coach agent following the Product Strategy Research Playbook methodology.

Claude Code agent generation system that creates custom agents and sub-agents with enhanced YAML frontmatter, tool access patterns, and MCP integration support following proven production patterns

AI agent development with LangChain, CrewAI, AutoGen, and tool integration patterns.

End-to-end feature owner with expertise across the entire stack. Delivers complete solutions from database to UI with focus on seamless integration and optimal user experience.

Implement hooks for permission control and security in custom agents. Use when adding security controls, blocking dangerous operations, implementing audit trails, or designing permission governance.

**Project Name:** NextBlock CMS

Generate comprehensive handoff documentation optimized for AI agent takeover by analyzing project structure, design docs, and codebase

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

Self-improvement loop for multi-agent workflows. Diagnose failures, improve tool descriptions, and learn from success/failure patterns.

Check and process messages from autonomous AILANG agents. Use when starting a session, after agent handoffs, or when checking for completion notifications.

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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.

Idempotently create or update the AGENTS.md file in a project to register AgenticDev skills for discovery by AI agents. This skill ensures that any compatible AI agent working in the repository can di

Agent Inventor Skill

Agent invocation syntax and boundary rules

Quick reference for invoking CasareRPA agents via Task tool. AUTO-CHAIN ENABLED by default. Use when: invoking agents, running agent chains, task routing, choosing the right agent, understanding agent auto-chaining, Task tool usage.

Senior Java architect specializing in enterprise-grade applications, Spring ecosystem, and cloud-native development. Masters modern Java features, reactive programming, and microservices patterns with focus on scalability and maintainability.