AI Agent & Automation Workflows

Provides sandboxing validation, HMAC key rotation, and budget verification to manage security boundaries under Agentic Group Theory (AGT).

Antigravity (agy) CLI sub-agent system for frontier Google Gemini models. Use when dispatching tasks to Gemini 3.5 Flash and above via the agy binary. For cheaper/older Gemini models (gemini-3-flash-preview, gemini-3.1-pro-preview), use gemini-cli-agent instead. Trigger with "use agy", "dispatch to antigravity", "run with agy", "use frontier gemini model", or "agy sub-agent".

Systematically analyze agent plugins and skills to extract design patterns, architectural decisions, and reusable techniques. Trigger with "analyze this plugin", "mine patterns from", "review plugin structure", "extract learnings from", "what patterns does this plugin use", "check if this plugin is well-structured", "validate plugin compliance", or when examining any plugin or skill collection to understand its design.

Interactive skill to scaffold and optimize the .agents/ directory for any project mapping up Antigravity configuration. Sets up .gemini/GEMINI.md, skills/, prompts/, and config.json using best practices. Produces a lean, modular configuration extending the Google Agent Development Kit (ADK). Trigger with "set up antigravity", "scaffold .agents folder", "configure gemini for this project", or "create agentic workflows".

Aggregates full monorepo bundle with structured segmentation for deep reasoning audits.

Captures and refines business requirements, including functional requirements, non-functional requirements, business rules, constraints, assumptions, and success measures. Produces structured BRD-style documents with [CONFIRMED] and [UNCONFIRMED] confidence markers. Trigger with "capture requirements", "generate a BRD", "document business rules", "list the constraints", or "create a requirements document".

Generate Mermaid flowcharts documenting business processes, state machines, and workflow logic from session captures. Use when you need to map multi-step processes, approval flows, user journeys, or decision trees during exploration. Trigger with "map this workflow", "create a process diagram", "flowchart the business process", "document this workflow", or "visualize the state machine".

Claude CLI sub-agent system for persona-based analysis. Use when piping large contexts to Anthropic models for security audits, architecture reviews, QA analysis, or any specialized analysis requiring a fresh model context.

Interactive skill to scaffold and optimize the .claude/ directory for any project. Sets up CLAUDE.md, .claude/rules/, .claude/settings.json with best practices, and optional hooks. Produces a lean, modular configuration that avoids monolithic context bloat. Trigger with "set up claude", "optimize my CLAUDE.md", "scaffold .claude folder", "configure claude for this project", or "create claude settings".

Codex CLI sub-agent for dispatching tasks to OpenAI-compatible models via the codex binary. Use for code-focused tasks routed to GPT-5 Codex or any OpenAI-compatible endpoint. Part of the runagent.py multi-LLM task router — cli=codex target.

Coding conventions enforcement agent. Auto-invoked when writing new code, reviewing code quality, adding headers, or checking documentation compliance across Python, TypeScript/JavaScript, and C/.NET.

Activate when the user wants to compile an APM package into top-level context documents such as AGENTS.md, CLAUDE.md, or GEMINI.md, especially for Codex, Gemini, OpenCode, or agents-protocol style hosts. Do not use when the user only needs per-skill installation; use install-apm-package instead.

Interactively creates technical bundles of code, design, and documentation for external review or context sharing. It conducts a brief discovery phase to confirm the targets and format, presents a plan, and then packages multiple project files into a single Markdown file or a portable .zip archive.

Translate .mmd diagram files into PNG images with configurable resolution (retina/HQ/scale), supporting rasterization (raster, rasterize, rasterization). V2 includes L5 Delegated Constraint Verification via verifypng for strict binary linting and Puppeteer-based rendering.

Activate when the user wants to add APM governance, lockfile/audit readiness, or multi-runtime package management to an existing Claude/Copilot/agent plugin, or explicitly convert a plugin into an APM-native package.

Copilot CLI sub-agent system for persona-based analysis. Use when piping large contexts to GitHub Copilot models for security audits, architecture reviews, QA analysis, or any specialized analysis requiring a fresh model context.

Scaffold a GitHub agentic workflow from an existing…

Activate when the user wants to create a new APM-native package from scratch for reusable agent skills, agents, commands, hooks, MCP configuration, prompts, or governance-managed agent assets. Do not use this for existing plugin migration; use convert-plugin-to-apm instead.

Deploy a skill as an Azure AI Foundry hosted…

Scaffold an agent skill with Docker runtime…

Scaffold a deterministic GitHub Actions CI/CD…

Scaffold an advanced stateful agent skill with L4…

Design and scaffold a Claude Code…

(Industry standard: Sequential Agent / Agent as a Tool) Primary Use Case: Delegating a well-defined task to a worker agent, verifying its execution, and repeating if necessary. Inner/outer agent delegation pattern. Use when: work needs to be delegated from a strategic controller (Outer Loop) to a tactical executor (Inner Loop) via strategy packets, with verification and correction loops.