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Fix Errors

Official
microsoft·vlatest·testing·MIT

Fix Errors automatically identifies and corrects inaccuracies in your text, boosting clarity and reliability for better communication.

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This skill no longer installs under the name fix-errors. microsoft/vscode has no skill named "fix-errors" any more. It was renamed, moved or deleted upstream.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

microsoft

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 63 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as microsoft/vscode.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
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About this skill

The fix-errors skill empowers AI agents to automatically diagnose and resolve issues within Microsoft Visual Studio Code environments. It analyzes error logs, stack traces, and code context to suggest or apply targeted fixes without manual intervention.

When to use it

  • During continuous integration pipelines when build failures occur unexpectedly.
  • When debugging runtime exceptions in a local development environment.
  • To automate the resolution of linting errors before committing code.
  • When an agent needs to recover from syntax errors after refactoring logic.

Key capabilities

  • Parses standard VS Code error messages and diagnostic outputs.
  • Identifies root causes within specific files or project configurations.
  • Generates patch suggestions or applies corrections directly to the codebase.
  • Handles both compilation failures and runtime exceptions effectively.

Example prompts

  • "Analyze the attached build log and fix any TypeScript compilation errors in src/utils.ts."
  • "Review the current VS Code session for syntax warnings and correct them automatically."
  • "Diagnose why this unit test is failing and update the code to resolve the assertion error."

Tips & gotchas

Ensure the AI agent has read access to the relevant project files and write permissions to apply fixes. Complex architectural issues may require human review even after automated corrections are attempted.