lsp-chat-recovery-loop

Diagnose Remora LSP chat delivery regressions from logs into a hypothesis report and code fix.

1|Updated Feb 17, 2026
One-click install
npx skills add https://github.com/Bullish-Design/remora --skill lsp-chat-recovery-loop
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lsp-chat-recovery-loop
Source: https://github.com/Bullish-Design/remora/tree/main/.scratch/skills/lsp-chat-recovery-loop
Command: npx skills add https://github.com/Bullish-Design/remora --skill lsp-chat-recovery-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The recovery loop helps Devs quickly diagnose and fix flaky Remora LSP chat delivery by turning scattered logs into a concise, testable plan.

Core Features & Use Cases

  • End-to-end diagnostic workflow for LSP chat delivery failures.
  • Generating a run directory, simplified logs, and a hypothesis report with a minimal fix.
  • Committing changes and providing verification steps for handoff.

Quick Start

Run the recovery loop against a representative e2e scenario to generate a run directory, simplified logs, a hypothesis report, and a minimal code fix ready for verification.

Frequently Asked Questions about lsp-chat-recovery-loop

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

FAQPage Schema
How do I debug flaky Remora LSP chat delivery failures?

To debug flaky Remora LSP chat delivery failures, this Skill applies an end-to-end recovery workflow that transforms scattered raw logs into a concise, testable hypothesis report alongside a minimal code fix and verification steps.

What is the best way to turn raw logs into a testable fix hypothesis?

The best way to turn raw logs into a testable fix hypothesis is to process them through a structured recovery loop that identifies reliability regressions and records exact origins for evidence, outputting a run directory and simplified logs for reproducible testing.

How do I generate a minimal code fix from e2e scenario logs?

You generate a minimal code fix from e2e scenario logs by applying the recovery workflow, which acts on deterministic logs to hypothesize fixes, produce a run directory, and provide clear verification steps for handoff and reproducible testing.

Can I use this recovery workflow for reproducible testing of LSP reliability regressions?

Yes, this workflow supports reproducible testing of LSP reliability regressions by acting on deterministic logs, generating a run directory with simplified logs, and recording exact origins to ensure evidence-based verification.

Does the diagnostic loop require any specific dependencies to analyze e2e logs?

No specific dependencies are required to analyze e2e logs, as the diagnostic loop operates independently using scripts and references to process raw logs and generate actionable hypothesis reports for Remora LSP chat delivery.

Why does Remora LSP chat delivery have reliability regressions that need simplified logs?

Remora LSP chat delivery regressions need simplified logs because scattered raw logs obscure the root cause, and simplifying them into a structured run directory enables faster diagnosis and reproducible minimal code fix generation.