Retrieve current VS Code Search view results for analysis or follow-up actions.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "get-search-view-results" skill from askskill: 1. Download https://raw.githubusercontent.com/microsoft/vscode/main/extensions/copilot/assets/prompts/skills/get-search-view-results/SKILL.md 2. Save it as ~/.claude/skills/get-search-view-results/SKILL.md 3. Reload skills and tell me it's ready
Get the current results from the VS Code Search view, group matches by file, and summarize the hit count for each file.
A structured summary of search results by file, including match counts and key matched content.
Read the current search results, identify all files containing the old function name, and generate a refactoring checklist sorted by priority.
A prioritized list of files to refactor, with relevant match locations and suggested handling order.
Get the current Search view results, extract all matches related to the error code, and organize them into a troubleshooting clue list.
A troubleshooting clue list containing files, matched text, and contextual information.
search.action.getSearchResults.copilot_runVscodeCommand tool. Make sure to pass the skipCheck argument as true to avoid checking if the command exists, as we know it does.Generate or update session run commands for faster project startup and testing.
Create hook JSON files for policy enforcement and agent lifecycle automation.
Update the GitHub Copilot CLI or SDK to a newer version.
Analyze V8 heap snapshots to find memory leaks and object retention.
Merge session branch changes back into the base branch cleanly.
Launch VS Code OSS in isolation for automation and multi-process debugging.
Search indexed codebases semantically with natural language across MCP clients.
Search across connected sources to quickly recover decisions, docs, and discussions.
Search codebases semantically with natural language to find relevant files and logic.
Search your saved developer tools catalog and get tailored recommendations.
Search code with natural language and get precise ranked file-line matches.
Search codebases semantically with natural language and retrieve relevant context.