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How to install a Pointer extension from an extension ID. Useful when the user wants to add new capabilities to their Pointer environment by installing extensions.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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| name | install-vscode-extension |
| description | How to install a Pointer extension from an extension ID. Useful when the user wants to add new capabilities to their Pointer environment by installing extensions. |
publisher.extensionName. For example, the Python extension by Microsoft has the ID ms-python.python.workbench.extensions.installExtension and pass in the extension ID. The args are of the format:[extensionId, { enable: true, installPreReleaseVersion: boolean }]
NOTE: install the pre-release version of the extension if the user explicitly mentions it or if the current environment is Pointer Insiders. Otherwise, install the stable version.
copilot_runVscodeCommand tool. Make sure to pass the skipCheck argument as true to avoid checking if the command exists, as we know it does.**WORKFLOW SKILL** — Create, update, review, fix, or debug Pointer agent customization files (.instructions.md, .prompt.md, .agent.md, SKILL.md, copilot-instructions.md, AGENTS.md). USE FOR: saving coding preferences; troubleshooting why instructions/skills/agents are ignored or not invoked; configuring applyTo patterns; defining tool restrictions; creating custom agent modes or specialized workflows; packaging domain knowledge; fixing YAML frontmatter syntax. DO NOT USE FOR: general coding questions (use default agent); runtime debugging or error diagnosis; MCP server configuration (use MCP docs directly); Pointer extension development. INVOKES: file system tools (read/write customization files), ask-questions tool (interview user for requirements), subagents for codebase exploration. FOR SINGLE OPERATIONS: For quick YAML frontmatter fixes or creating a single file from a known pattern, edit the file directly — no skill needed.
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Comprehensive setup steps to help the user create complete project structures in a Pointer workspace. This tool is designed for full project initialization and scaffolding, not for creating individual files. When to use this tool: when the user wants to create a new complete project from scratch; when setting up entire project frameworks (TypeScript projects, React apps, Node.js servers, etc.); when initializing Model Context Protocol (MCP) servers with full structure; when creating Pointer extensions with proper scaffolding; when setting up Next.js, Vite, or other framework-based projects; when the user asks for "new project", "create a workspace", or "set up a [framework] project"; when you need to establish a complete development environment with dependencies, config files, and folder structure. When NOT to use this tool: when creating single files or small code snippets; when adding individual files to existing projects; when making modifications to existing codebases; when the user asks to "create a file
Comprehensive setup steps to help the user create complete project structures in a Pointer workspace; this tool is designed for full project initialization and scaffolding, not for creating individual files. When to use this tool: user wants to create a new complete project from scratch; setting up entire project frameworks (TypeScript projects, React apps, Node.js servers, etc.); initializing Model Context Protocol (MCP) servers with full structure; creating Pointer extensions with proper scaffolding; setting up Next.js, Vite, or other framework-based projects; user asks for "new project", "create a workspace", "set up a [framework] project"; need to establish a complete development environment with dependencies, config files, and folder structure. When NOT to use this tool: creating single files or small code snippets; adding individual files to existing projects; making modifications to existing codebases; user asks to "create a file" or "add a component"; simple code examples or demonstrations; debugging
Investigate unexpected chat agent behavior by analyzing direct debug logs in JSONL files. Use when users ask why something happened, why a request was slow, why tools or subagents were used or skipped, or why instructions/skills/agents did not load.
OpenTelemetry instrumentation for the Copilot Chat extension — covers the four agent execution paths, the IOTelService abstraction, span/metric/event conventions, and the relationship between code and the user/developer monitoring docs. Use when adding/changing OTel spans, metrics, or events; instrumenting a new agent surface; touching the Copilot CLI bridge or Claude span emission; or updating `extensions/copilot/docs/monitoring/agent_monitoring*.md`.