Use GitHub Copilot CLI in non-interactive mode to ask questions, review code, or generate snippets without manual interaction.
npx skills add https://github.com/lingxling/awesome-skills-cn --skill ask-copilot
This skill allows the agent to interact with GitHub Copilot CLI (copilot) in a non-interactive (headless) mode. Use this skill when the user explicitly wants secondary advice, code reviews, explanations, or code generation from GitHub Copilot's models.
Use source: self and source_type: self when the skill is original to this repository and does not require README external-source credit.
Copilot is an external service. Treat prompts, file paths, snippets, repository content, command output, and generated suggestions as data that may leave the local environment.
Before executing any command that references local files, repository paths, snippets, command output, secrets-adjacent config, or private project context, you MUST obtain explicit user consent to send that material to GitHub Copilot.
Ask for separate approval before allowing Copilot to run tools, execute shell commands, edit files, install packages, or mutate the workspace.
To prevent TUI lockups, execute the copilot command with headless flags. Do not use blanket bypasses such as --yolo, --allow-all-tools, or --allow-all-paths for routine Q&A or review.
To maintain conversation context, use --name and --resume flags, or pass a --session-id on subsequent calls.
Does not require repository path access or mutation permissions.
copilot -p "Explain how to implement a debounce function in TypeScript" -s
Always confirm the exact file and excerpt with the user before executing. Keep the path in a
quoted variable; build the prompt from a static instruction plus the approved excerpt. Shell
does not re-evaluate command-substitution output, so metacharacters inside the reviewed file
remain prompt text rather than shell syntax:
review_file="path/to/file.ts"
test -f "$review_file" || { echo "File not found: $review_file" >&2; exit 1; }
copilot -p "$(printf '%s\n\n' 'Review this approved excerpt for potential memory leaks:'; sed -n '1,220p' -- "$review_file")" -s
Never construct a shell command by interpolating user-controlled prompt text, paths, issue
content, or filenames into shell source. Use fixed command structure, quoted variables, and
approved file content only.
copilot -p "Remember this session label for follow-up questions." -s --name "my-session-name"
copilot -p "Summarize the prior advice in this session." -s --resume "my-session-name"
-s (silent) to suppress metadata and statistics, leaving only clean output.--allow-all-paths for a review, or interpolate untrusted text inside copilot -p "...".copilot without permission-bypass flags in background tasks, as it will hang waiting for interactive input.--yolo flag bypasses all permission prompts and allows Copilot CLI to run arbitrary shell commands and mutate workspace files. It must be treated as a high-risk option and never used by default.--allow-all-paths grants Copilot broader local visibility than a narrow review requires; it is not a read-only least-privilege flag.Solution: Ensure both -p (or --prompt) and the narrowest required non-interactive permission flag are present in the command arguments. Without required permission flags, the CLI may prompt for confirmation and hang headless processes.
@cli-assistant - How to interact with CLI tools in general.Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take lingxling/ask-copilot from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.