Auto-file issues when your agent mishandles Svelte
Svelte’s opt-in svelte-mcp-feedback skill tells a coding agent to open an issue on sveltejs/ai-tools after you correct a Svelte/SvelteKit mistake, using GitHub CLI or a prefilled form. Task: The svelte-mcp-feedback skill instructs coding agents to identify reusable autofixer improvements when users correct Svelte or SvelteKit mistakes. The agent builds a minimal reproduction and files an issue on github.com/sveltejs/ai-tools via GitHub CLI or opens a prefilled form. This skill is not bundled with standard plugins and requires separate installation. Human involvement includes installing the skill, correcting the agent, and approving the final issue submission.; tools: Claude Code, Svelte AI skills. Human role: Not stated in the source; limitations: Requires separate installation via npx or manual copy. Unattended filing needs an installed and authenticated GitHub CLI; otherwise, manual submission is required. The workflow is only appropriate for concrete, reproducible Svelte mistakes, not initial requests or style preferences. Source reliability is high as it is official documentation, but it lacks performance data..
Tools
Claude Code, Svelte AI skills
Published on Agent Work Atlas:
Overview
Svelte’s opt-in svelte-mcp-feedback skill tells a coding agent to open an issue on sveltejs/ai-tools after you correct a Svelte/SvelteKit mistake, using GitHub CLI or a prefilled form.
Workflow
The svelte-mcp-feedback skill instructs coding agents to identify reusable autofixer improvements when users correct Svelte or SvelteKit mistakes. The agent builds a minimal reproduction and files an issue on github.com/sveltejs/ai-tools via GitHub CLI or opens a prefilled form. This skill is not bundled with standard plugins and requires separate installation. Human involvement includes installing the skill, correcting the agent, and approving the final issue submission.
Reported result
The documentation describes the intended workflow and opt-in nature but provides no metrics on adoption rates or the volume of issues filed. Success depends on the user correctly identifying generalizable mistakes rather than personal preferences or unrelated bugs. No evidence confirms actual execution or outcome statistics from the source.
Human role
Not stated in the source
Limitations
Requires separate installation via npx or manual copy. Unattended filing needs an installed and authenticated GitHub CLI; otherwise, manual submission is required. The workflow is only appropriate for concrete, reproducible Svelte mistakes, not initial requests or style preferences. Source reliability is high as it is official documentation, but it lacks performance data.
Try it
Install the svelte-mcp-feedback skill in my current project using `npx skills add sveltejs/ai-tools --skill svelte-mcp-feedback`. After I correct a Svelte mistake you made, draft a GitHub issue for sveltejs/ai-tools including: my original request, your error, the correct approach, and a minimal reproduction. Show me the draft for approval before filing. Do not file if the mistake is ambiguous or personal style. Confirm installation and display one sample draft to verify the workflow.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.