AI & Agents Agent Skills

Collect and synthesize opinions from multiple AI agents.

Detailed review process, v2 validation checklist, and scoring methodology for agent definition reviews

Agent skill for safla-neural - invoke with $agent-safla-neural

Agent skill for user-tools - invoke with $agent-user-tools

Optimizes project structures and documentation layers to maximize AI context comprehension and development efficiency.

Automate AI ML API tasks via Rube MCP (Composio).

Use when designing AI agents that autonomously create work items (GitHub issues, tasks, PRs) without per-item human review.

Automate Apipie AI tasks via Rube MCP (Composio).

Compresses artifacts for judge evaluation.

Automate Astica AI tasks via Rube MCP (Composio).

This skill should be used when the user asks to "create project structure", "organize atomic agents project", "pyproject.toml", "project…

Use when creating or configuring Claude Code agents and their frontmatter.

Build, modify, debug, migrate, review, or verify TypeScript MCP servers and MCP Apps with mcp-use.

Run and debug C# MCP servers locally. Covers IDE configuration, MCP Inspector testing, GitHub Copilot Agent Mode integration, logging…

This skill should be used when orchestrating multi-agent swarms using Claude Code's TeammateTool and Task system.

Coordinate multiple Codex agents.

Configure Claude Octopus — redirects to /octo:setup interactive wizard

Creates a new Claude Code Skill following best practices.

Guides users through creating effective Agent Skills.

List panes attached to the active Mission for Squad Lead dispatch decisions.

Export RepoPrompt context to a markdown file for review with an external LLM (ChatGPT, Claude web, etc.).