Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Add AI-powered error monitoring and auto-fix generation to any project
Add AI-powered error monitoring and auto-fix generation to any project
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
AutoHeal captures production JavaScript/TypeScript errors, analyzes them with AI, and generates platform-specific fix prompts you can paste directly into your AI coding tool.
Add this snippet to your app's entry point (e.g., main.tsx, layout.tsx, App.vue): <script> window.onerror = function(msg, source, line, col, err) { fetch("https://autohealai.com/api/errors/ingest", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ key: process.env.AUTOHEAL_API_KEY || "YOUR_API_KEY", message: msg, stack: err?.stack || "", source_url: source, browser: navigator.userAgent }) }).catch(() => {}); }; window.onunhandledrejection = function(e) { const err = e.reason; fetch("https://autohealai.com/api/errors/ingest", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ key: process.env.AUTOHEAL_API_KEY || "YOUR_API_KEY", message: err?.message || String(err), stack: err?.stack || "", source_url: window.location.href, browser: navigator.userAgent }) }).catch(() => {}); }; </script>
Add this to your server entry point: process.on('uncaughtException', (err) => { fetch("https://autohealai.com/api/errors/ingest", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ key: process.env.AUTOHEAL_API_KEY, message: err.message, stack: err.stack || "" }) }).catch(() => {}); }); process.on('unhandledRejection', (reason) => { const err = reason instanceof Error ? reason : new Error(String(reason)); fetch("https://autohealai.com/api/errors/ingest", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ key: process.env.AUTOHEAL_API_KEY, message: err.message, stack: err.stack || "" }) }).catch(() => {}); });
After an error is ingested, check its analysis status: curl -s "https://autohealai.com/api/errors/{ERROR_ID}/status" \ -H "Authorization: Bearer $AUTOHEAL_API_KEY" Response: { "status": "analyzed", "message": "Cannot read properties of undefined", "has_fix": true, "fix_id": "uuid-here", "dashboard_url": "https://autohealai.com/dashboard/errors/{ERROR_ID}" } Possible statuses: new, analyzing, analyzed, fix_applied, ignored View the full fix with AI-generated fix prompt at the dashboard_url.
Send any error directly to AutoHeal: curl -X POST "https://autohealai.com/api/errors/ingest" \ -H "Content-Type: application/json" \ -d '{ "key": "'$AUTOHEAL_API_KEY'", "message": "TypeError: Cannot read properties of undefined (reading '\''map'\'')", "stack": "TypeError: Cannot read properties of undefined\n at renderList (src/components/List.tsx:15:23)" }' Response: { "status": "queued", "error_id": "uuid-here" } The error will be analyzed by AI within seconds. Check status using the error_id from the response.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.