fix-proposal

Analyze MoonMind task runs and append a validated follow-up task proposal.

12|5|Updated Jan 14, 2025
One-click install
npx skills add https://github.com/MoonLadderStudios/MoonMind --skill fix-proposal
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fix-proposal
Source: https://github.com/MoonLadderStudios/MoonMind/tree/main/.agents/skills/fix-proposal
Command: npx skills add https://github.com/MoonLadderStudios/MoonMind --skill fix-proposal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Detects execution quality problems in MoonMind task runs and generates a single, high-value follow-up task proposal to address the root cause, reducing repeated failures and wasted retries.

Core Features & Use Cases

  • Analyze task_context.json and artifacts/logs to identify access/auth failures, conflicting instructions, retry storms, execution loops, duplicate output, missing references, and other degraded behaviors.
  • Produce one concise proposal object containing a title, summary, and a valid taskCreateRequest envelope, plus run_quality category, tags, and a signal with severity and evidence.
  • Use Case: After a managed run exhibits repeated retries and missing artifacts, append a targeted task to fix the missing references and adjust retry logic to prevent further retries.

Quick Start

Use the fix-proposal skill to analyze the latest task run and append one actionable proposal to the task_proposals.json file.

Frequently Asked Questions about fix-proposal

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate fix proposals for task run failures from logs and artifacts?▼

To generate fix proposals for task run failures, analyze task_context.json and run artifacts to detect degraded behaviors like retry storms and missing references, appending a validated taskCreateRequest to the proposals JSON.

What types of execution quality issues can be detected from MoonMind run logs?▼

Execution quality issues detected from MoonMind run logs include access failures, conflicting instructions, execution loops, duplicate output, missing references, and retry storms that degrade task run behavior.

How do I append a follow-up task proposal to task_proposals.json without creating duplicates?▼

Append a follow-up task proposal to task_proposals.json by generating one validated proposal object with a unique title, summary, severity signal, and taskCreateRequest while preserving valid JSON formatting and avoiding duplicate titles.

Can I automatically detect retry storms and access failures in task run artifacts?▼

Yes, you can detect retry storms and access failures by analyzing task run artifacts and logs, generating a single high-value proposal object with category tags and evidence to address the root cause.

What is the best way to prevent repeated task failures and wasted retries in automated runs?▼

The best way to prevent repeated task failures and wasted retries is to analyze run logs for degraded behaviors and produce a targeted fix proposal that adjusts retry logic and resolves missing references.

Do I need task_context.json to diagnose execution loops and duplicate output in task runs?▼

Yes, you need task_context.json alongside artifacts and logs to accurately diagnose execution loops and duplicate output, ensuring the generated fix proposal contains valid evidence and a corrective taskCreateRequest.