Agent skills

Automates web browser interactions and data extraction using an AI-optimized snapshot workflow for seamless UI navigation and testing.

Builds, edit or validate Agent Skill through conversational discovery.

Interact with Channel Talk workspaces using API credentials - send messages, read chats, manage groups and bots

Agent skill for consensus-coordinator - invoke with $agent-consensus-coordinator

Audit a repo's agent context — CLAUDE.md files, codebase docs, skills, and tool/MCP designs — against Anthropic's Claude 5…

Generate a documentation pack for a .NET repository so AI coding agents can reason about it — AGENTS.md, architecture, ADRs, data model…

Coordinates structured peer reviews and iterative feedback loops between AI agents like Claude and Codex.

Design autonomous agent systems and the human oversight around them — specifying what an agent can perceive and act on, why a stateless…

Automates interactions for Apple-platform apps (iOS, tvOS, macOS) and Android devices.

Interact with Discord servers - send messages, read channels, manage reactions

Interact with Discord servers using bot tokens - send messages, read channels, manage reactions

Use when rendering multi-agent debate, discussion, or review output in the terminal.

Multi-agent orchestration enforcement for /team command.

Use when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and…

Designs and runs agent evaluation frameworks to measure and improve performance.

Patterns and techniques for adding governance, safety, and trust controls to AI agent systems.

Optimizes and generates AI coding agent instruction files like AGENTS.md and CLAUDE.md to improve project context and model performance.

Use when creating, editing, or deploying custom agent instructions or skills shared by Codex and Claude.

Use when writing or editing instructions for agents, including AGENTS.md, CLAUDE.md, SKILL.md, project rules, or reusable agent prompts.

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.

Use when planning or implementing on this owner's projects.