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Product Manager. Use for product vision, requirements, PRDs, user stories, prioritization, and acceptance criteria.

Tech Lead and Architect. Use for architectural decisions, design guidance, task planning, code quality, and refactoring strategy.

Scrum Master and Project Coordinator. Use for sprint status, task tracking, velocity metrics, and team coordination.

Senior Software Engineer (Python). Use for implementation, coding, debugging, testing, and refactoring tasks.

Knowledge Officer and Documentation Architect. Use for documentation, knowledge queries, recording decisions/lessons, and file organization.

HCI Expert and UX Advocate. Use for user story review, usability testing, HCI evaluation, API/CLI feedback, sprint user review gates, and usability defect filing.

QA Guardian and SDET. Use for testing, test suite maintenance, code review, regression prevention, and quality gates.

Veteran cross-platform hybrid DevOps Engineer. Use for infrastructure-as-code, CI/CD pipelines, deployment automation, environment management, and systems reliability.

Provides a comprehensive guide, quick reference, and sitemap for Google Antigravity (AGY), including the Antigravity CLI (agy), Antigravity 2.0, Antigravity IDE, Python SDK, slash commands, keybindings, and customizations (skills, rules, MCP, sidecars). Activate this skill when the user asks questions about how to use, configure, or customize Antigravity, AGY, the agy CLI, the Antigravity IDE, or Antigravity 2.0.

Prompt Engineering Expert. Use for agent creation, prompt updates, and team process improvements.

Top-level workflow loops (Bob Loops) that chain multiple personas autonomously. Use *fix, *review, *impl, *qa, or *plan sprint instead of manually invoking each persona in sequence.

Multi-persona coordination protocol. Enables AI to switch between specialized personas (Neo, Morpheus, Trin, Oracle, Mouse, Cypher, Bob, Smith) based on task needs. Use for *chat workflow, state management, and cross-agent communication.

Post a message (max 512 chars) with a 'why?' explanation to the team chat log (agents/CHAT.md). Use to communicate between personas, log progress updates, and coordinate handoffs between agents.

Interactive loop to evaluate agent skill/tool/persona usage (e.g. *judge via, *judge make, *judge trin), catalog bugs/anti-patterns, and optimize agent prompt instructions.

Invoke project Makefile targets. All targets route through mkf automatically — output is captured to build/build.out, not the context window. Use V= to control verbosity.

Render CLI usage guide for InvestaCo. All Render operations must be backed by static config (render.yaml) or a repeatable Makefile target — never one-off CLI commands. Covers deploys, logs, blueprint validation, and env var management.

Guidelines for writing efficient via relationship queries.

Provides a comprehensive guide, quick reference, and sitemap for Google Antigravity (AGY), including the Antigravity CLI (agy), Antigravity 2.0, Antigravity IDE, Python SDK, slash commands, keybindings, and customizations (skills, rules, MCP, sidecars). Activate this skill when the user asks questions about how to use, configure, or customize Antigravity, AGY, the agy CLI, the Antigravity IDE, or Antigravity 2.0.

Top-level workflow loops that chain multiple personas autonomously. Use *fix, *review, *impl, *qa, or *plan sprint instead of manually invoking each persona in sequence.

Run code quality checks including linting, type checking, dead code detection, duplication, and complexity analysis.

Self-discovery guide for Makefile targets. Run `make help` to see all current targets. Covers Makefile structure, when to add targets, and how to extend the build correctly.

Run tests using the project Makefile. Use for executing test suites, running specific tests, and validating code changes.