Provides Gemini CLI delegation workflows for large-context analysis and complex reasoning using Gemini 3.0 Flash and Gemini 3.0 Pro models, including English prompt formulation, execution flags, and safe result handling. Use when the user explicitly asks to use Gemini for tasks such as broad codebase analysis, fast iterations with Gemini 3 Flash, or deep architectural reasoning with Gemini 3 Pro. Triggers on "use gemini", "delegate to gemini", "run gemini cli", "ask gemini", "use gemini for this task", "use gemini 3 flash", "use gemini 3 pro".
Provides Gemini CLI delegation workflows for large-context analysis and complex reasoning using Gemini 3.0 Flash and Gemini 3.0 Pro models, including English prompt formulation, execution flags, and safe result handling. Use when the user explicitly asks to use Gemini for tasks such as broad codebase analysis, fast iterations with Gemini 3 Flash, or deep architectural reasoning with Gemini 3 Pro. Triggers on "use gemini", "delegate to gemini", "run gemini cli", "ask gemini", "use gemini for this task", "use gemini 3 flash", "use gemini 3 pro".
allowed-tools
Bash, Read, Write
Gemini CLI Delegation
Delegate specific tasks to the gemini CLI when the user explicitly requests Gemini, especially for large-context analysis workflows.
Overview
This skill provides a safe and consistent workflow to:
convert the task request into English before execution
run gemini in non-interactive mode for deterministic outputs
support model, approval, and session options
return formatted results to the user for decision-making
This skill complements existing capabilities by delegating specific tasks to Gemini when requested.
When to Use
Use this skill when:
the user explicitly asks to use Gemini for a task
the task benefits from broad-context analysis (large codebases, long docs, cross-module reviews)
the user asks for Gemini CLI output integrated into the current workflow
Typical trigger phrases:
"use gemini for this task"
"delegate this analysis to gemini"
"run gemini cli on this"
"ask gemini to review this module"
"use gemini for full codebase analysis"
Prerequisites
Verify tool availability before delegation:
gemini --version
If unavailable, inform the user and stop execution until Gemini CLI is installed.
Start with gemini-3-flash for quick iterations and prototyping
Use gemini-3-pro for production-quality analysis and complex reasoning
Reserve gemini-3-pro for tasks where accuracy and depth are prioritized over speed
If unsure, default to gemini-3-flash for faster feedback cycles and iterate to gemini-3-pro if needed
Step 2: Formulate Prompt in English
Build a precise English prompt from the user request.
Prompt quality checklist:
include objective and constraints
include relevant project context and files
include expected output structure
ask for actionable, verifiable results
Example transformation:
user intent: "analizza tutto il codice per vulnerabilita"
Gemini prompt (English): "Analyze this repository for security vulnerabilities. Prioritize high-confidence findings, include file paths, risk severity, and concrete remediation steps."
Step 3: Select Execution Mode and Flags
Preferred baseline command:
gemini -p "<english-prompt>"
Supported options:
-m, --model <model-id> for model selection
--approval-mode <default|auto_edit|yolo|plan>
-y, --yolo as yolo shortcut
-r, --resume <session-id-or-latest> to resume session
--raw-output for unformatted output
-o, --output-format <text|json|stream-json>
Safety guidance:
prefer --approval-mode default unless user asks otherwise
use --approval-mode plan for read-only analysis
use --yolo only with explicit user consent
Step 4: Execute Gemini CLI
Run the selected command via Bash and capture stdout/stderr.
Examples:
# Default non-interactive delegation
gemini -p "Analyze this codebase architecture and list refactoring opportunities by impact."# Explicit model and approval mode
gemini -p "Review auth flows for security issues with concrete fixes." -m gemini-3-pro --approval-mode plan
# Structured output for automation
gemini -p "Summarize key technical debt items as JSON array." --output-format json
# Resume latest session
gemini -r latest -p "Continue from previous analysis and focus on test coverage gaps."
Step 5: Return Results Safely
When reporting Gemini output:
summarize key findings and confidence level
keep raw output available when needed
separate observations from recommended actions
explicitly ask user confirmation before applying suggested edits
Output Template
Use this structure when returning delegated results:
## Gemini Delegation Result### Task
[delegated task summary]
### Command`gemini ...`### Key Findings- Finding 1
- Finding 2
### Suggested Next Actions1. Action 1
2. Action 2
### Notes- Output language from Gemini: English
- Requires user approval before applying code changes
Examples
Example 1: Large codebase security review
gemini -p "Analyze this repository for security vulnerabilities. Report only high-confidence issues with file paths, severity, and patch recommendations." -m gemini-3-flash --approval-mode plan
Example 2: Documentation synthesis
gemini -p "Read the available documentation and produce a concise architecture summary with component responsibilities and integration points." -m gemini-3-pro --approval-mode plan
Example 3: Structured output for follow-up automation
gemini -p "Return a JSON list of top 10 refactoring opportunities with fields: title, file, impact, effort." -m gemini-3-flash --output-format json
Example 4: Quick boilerplate generation
gemini -p "Generate a minimal Express.js REST endpoint for POST /items with input validation and a unit test. Keep the implementation concise and ready to paste." -m gemini-3-flash
Example 5: Cost-effective CSV summary (fast, low-cost)
gemini -p "Summarize this CSV file's key statistics: row count, missing-value counts, and top 5 columns by variance. Provide a 6-line bullet summary suitable for quick triage." -m gemini-3-flash --output-format json --approval-mode plan
Example 6: Fast iteration for microcopy prototyping
gemini -p "Provide 3 short alternative microcopy options (<=20 words each) for an onboarding tooltip that explains account recovery. Include a one-line A/B test metric proposal for each option." -m gemini-3-flash
Example 7: Architectural design analysis
gemini -p "Analyze the current system architecture and propose a detailed migration strategy to a microservices architecture. Include component boundaries, communication patterns, data ownership, and estimated risks for each migration step." -m gemini-3-pro --approval-mode plan
Example 8: Comprehensive security audit
gemini -p "Perform a thorough security audit of the authentication and authorization layer. Identify potential vulnerabilities, rate-limiting gaps, token handling weaknesses, and injection vectors. Provide severity ratings and specific remediation steps for each finding." -m gemini-3-pro --approval-mode plan
Example 9: Production-quality module generation
gemini -p "Generate a production-ready TypeScript module for paginated API responses. Include input validation, error handling, retry logic with exponential backoff, and comprehensive unit tests with mocks. Follow best practices for error types, logging, and type safety." -m gemini-3-pro --approval-mode auto_edit
Best Practices
keep delegated prompts focused and explicit
include acceptance criteria in the prompt
prefer plan mode for analysis-only tasks
run multiple small delegations instead of one vague prompt
ask Gemini for file-level evidence, not generic advice
Constraints and Warnings
Gemini CLI behavior depends on local environment and configuration.
Approval modes impact execution safety; avoid yolo by default.
Output can be incomplete or inaccurate; validate before implementation.
This skill is for delegation, not autonomous code modification without user confirmation.
