Build Gemini-backed agent workflows and adapters. Use for Google Gemini API/ADK-style runners, Gemini CLI workflow parity, tool calling, structured outputs, or adding a Gemini variant beside Cursor/OpenCode/Claude runners.
EnglishRecursively initialize AGENTS.md in monorepo subdirectories with smart detection. Creates hierarchical agent context files with proper linking to root CLAUDE.md and parent AGENTS.md. Use for setting up multi-package projects, microservices, or any project with important subdirectories that need AI agent guidance.
EnglishApply when tempted to ask 'should I do X?' on reversible work.
EnglishApply after completing a task, before declaring done. Verify against the real artifact, not a proxy or self-report.
EnglishTransform prompts into structured TCRO format with phase-specific clarification. Automatically invoked by /ai-eng/research, /ai-eng/plan, /ai-eng/work, and /ai-eng/spec commands. Use when refining vague prompts, structuring requirements, or enhancing user input quality before execution.
EnglishRemove AI-generated filler, repetition, inflated language, and redundant comments while preserving meaning.
EnglishRun an extremely strict security audit for auth flaws, injection vectors, secrets exposure, broken access control, and boundary validation failures. Use for a thermo-nuclear security review, thermonuclear security audit, or especially harsh security review.
EnglishIncludes Gemini Agent SDK, Monorepo Initialization, Principle Never Block on the Human, and other workflows.
Supported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Gemini Agent SDK
Build Gemini-backed agent workflows and adapters. Use for Google Gemini API/ADK-style runners, Gemini CLI workflow parity, tool calling, structured outputs, or adding a Gemini variant beside Cursor/OpenCode/Claude runners.
Monorepo Initialization
Recursively initialize AGENTS.md in monorepo subdirectories with smart detection. Creates hierarchical agent context files with proper linking to root CLAUDE.md and parent AGENTS.md. Use for setting up multi-package projects, microservices, or any project with important subdirectories that need AI agent guidance.
Principle Never Block on the Human
Apply when tempted to ask 'should I do X?' on reversible work. Proceed, present the result, let the human course-correct after the fact; reserve confirmation for irrevers
Principle Prove It Works
Apply after completing a task, before declaring done. Verify against the real artifact, not a proxy or self-report.
Prompt Refinement
Transform prompts into structured TCRO format with phase-specific clarification. Automatically invoked by /ai-eng/research, /ai-eng/plan, /ai-eng/work, and /ai-eng/spec commands. Use when refining vague prompts, structuring requirements, or enhancing user input quality before execution.
Text Cleanup
Remove AI-generated filler, repetition, inflated language, and redundant comments while preserving meaning.
Thermo Nuclear Security Review
Run an extremely strict security audit for auth flaws, injection vectors, secrets exposure, broken access control, and boundary validation failures. Use for a thermo-nuclear security review, thermonuclear security audit, or especially harsh security review.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Gemini Agent SDK skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- Reported license for the skills shown: MIT. The author’s terms apply.