| name | github-copilot |
| description | Consult other AI models via GitHub Copilot CLI for second opinions, thorough analysis, or alternative perspectives. Supports Gemini 3 Pro Preview (gemini), Claude Opus 4.5 (opus), Claude Sonnet 4.5 (sonnet) and GPT-5.1-Codex-Max (codex). Use when user explicitly requests, when needing detailed analysis, when requiring additional help with an especially complex task, or when seeking alternative model perspectives. |
GitHub Copilot CLI Integration
Invoke other AI models via GitHub Copilot CLI to obtain alternative perspectives and analysis. This skill acts as a transparent conduit: it passes context and prompts to the specified model via copilot CLI, then inserts the verbatim response into the conversation.
Core Function
This skill does NOT perform analysis itself. It:
- Formats relevant context and the user's request into a prompt
- Invokes
copilot CLI with the specified model
- Captures the complete response
- Returns the response verbatim for integration into the conversation
Available Models
- gemini-3-pro-preview (default) - Shortcuts: "gemini"
- gpt-5.1-codex-max - Shortcuts: "codex"
- claude-opus-4.5 - Shortcuts: "opus"
- claude-sonnet-4.5 - Shortcuts: "sonnet"
Default to gemini-3-pro-preview unless user specifies otherwise.
Note: Copilot may take longer to respond. Use appropriate timeout values (up to 23 minutes is acceptable).
Model Selection
- Default: Always use
gemini-3-pro-preview
- User specifies a model: Map shortcuts to full model names (gemini → gemini-3-pro-preview, codex → gpt-5.1-codex-max, opus → claude-opus-4.5, sonnet → claude-sonnet-4.5)
Command Invocation
Execute copilot in the current working directory using this pattern:
copilot --model MODEL_NAME --allow-all-paths --allow-all-tools --log-level none -p "PROMPT_TEXT" 2>/dev/null
Required flags:
--allow-all-paths - Allow access to all paths--allow-all-tools - Allow all tool usage--log-level none - Suppress log output
The command runs in the current working directory, providing copilot with the same context as Claude.
Prompt Construction
Construct prompts that provide:
- Sufficient context - Include relevant conversation history, code snippets, or file contents
- Clear request - State what analysis or output is needed
- Specific details - Include constraints, requirements, or preferences
Keep prompts focused and relevant. Include only necessary context.
Response Handling
- Execute the copilot command
- Capture the complete output
- Return the response in EXACTLY this format with no additions or modifications:
---
copilot-model: $MODEL
prompt: $PROMPT
---
$RESPONSE
Where:
$MODEL = the actual model name used (e.g., "gemini-3-pro-preview")$PROMPT = the exact prompt sent to copilot$RESPONSE = the complete verbatim output from copilot
CRITICAL: Do not add any text before or after this code block. Do not editorialize, summarise, or modify the response in any way.
Example Usage Patterns
User requests alternative perspective
User: "Can you get a second opinion on this approach?"
→ Invoke copilot with gemini-3-pro-preview, including relevant context
User requests specific model
User: "What does GPT-5.1 think about this code?"
→ Invoke copilot with gpt-5.1, including the code and question
Thorough analysis needed
Task requires detailed investigation
→ Consider invoking gemini-3-pro-preview for comprehensive analysis
Output Format Example
---
copilot-model: gemini-3-pro-preview
prompt: Explain shallow vs deep copy in Python
---
A shallow copy creates a new object but references the same nested objects...
[complete response]
Important Notes
- This skill is a conduit, not an analyst
- Do not interpret, summarise, or modify responses
- Include sufficient context in prompts for meaningful responses
- The response quality depends entirely on the prompt quality
