菜单
Gemini CLI sub-agent system for persona-based analysis. Use when piping large contexts to Google Gemini models for security audits, architecture reviews, QA analysis, or any specialized analysis requiring a fresh model context.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/richfrem/Project_Sanctuary --skill gemini-cli-agent命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
ADR management skill. Auto-invoked for generating architecture decisions, documenting design rationale, and maintaining the decision record log. Uses native read/write tools to scaffold and update ADR markdown files.
(Industry standard: Parallel Agent) Primary Use Case: Work that can be partitioned into independent sub-tasks running concurrently across multiple agents. Parallel multi-agent execution pattern. Use when: work can be partitioned into independent tasks that N agents can execute simultaneously across worktrees. Includes routing (sequential vs parallel), merge verification, and correction loops.
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", or when examining any plugin or skill collection to understand its design.
基于 SOC 职业分类
正在显示 SKILL.md
| name | gemini-cli-agent |
| description | Gemini CLI sub-agent system for persona-based analysis. Use when piping large contexts to Google Gemini models for security audits, architecture reviews, QA analysis, or any specialized analysis requiring a fresh model context. |
| allowed-tools | Bash, Read, Write |
This skill provides specialized Inner Loop Execution for the dual-loop.
agent-orchestratorYou, the Antigravity agent, dispatch specialized analysis tasks to Gemini CLI sub-agents.
cat <PERSONA_PROMPT> | gemini -p "<INSTRUCTION>" < <INPUT> > <OUTPUT>
Note: Gemini uses -p or --prompt for headless execution where output is desired without interactive prompts.
Bad — loads file into agent memory just to pass it:
content = read_file("large.log")
run_command(f"gemini -p 'Analyze: {content}'")
Good — direct shell piping:
gemini -p "Analyze this log" < large.log > analysis.md
The CLI runs in a separate context — no access to agent tools or memory.
-m <model> flag (e.g., -m gemini-2.5-pro or -m gemini-2.5-flash).Always redirect output to a file (> output.md), then review with view_file.
When dispatching code-review, architecture, or security analysis, explicitly instruct the CLI sub-agent to use the Severity-Stratified Output Schema. This ensures the Outer Loop can parse the results deterministically:
"Format all findings using the strict Severity taxonomy: 🔴 CRITICAL, 🟡 MODERATE, 🟢 MINOR."
| Category | Personas | Use For |
|---|---|---|
| Security | security-auditor | Red team, vulnerability scanning |
| Development | 14 personas | Backend, frontend, React, Python, Go, etc. |
| Quality | architect-review, code-reviewer, qa-expert, test-automator, debugger | Design validation, test planning |
| Data/AI | 8 personas | ML, data engineering, DB optimization |
| Infrastructure | 5 personas | Cloud, CI/CD, incident response |
| Business | product-manager | Product strategy |
| Specialization | api-documenter, documentation-expert | Technical writing |
All personas in: plugins/personas/
Run architect AFTER red team to catch security-fix side effects.