research-issue

Solid

Investigate production issues and bugs through hypothesis-driven debugging. Accepts stacktraces, logs, error messages, or vague behavioral descriptions and produces a root cause analysis.

AI & Automation 31 stars 1 forks Updated today MIT

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Quality Score: 82/100

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Description 5%
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Skill Content

# Research Issue !`${CLAUDE_PLUGIN_ROOT}/bin/accelerator config context --skill research-issue --fail-safe` !`${CLAUDE_PLUGIN_ROOT}/bin/accelerator config agents --fail-safe` If no "Agent Names" section appears above, use these defaults: accelerator:reviewer, accelerator:codebase-locator, accelerator:codebase-analyser, accelerator:codebase-pattern-finder, accelerator:documents-locator, accelerator:documents-analyser. **Research directory**: !`${CLAUDE_PLUGIN_ROOT}/bin/accelerator config path research_issues --fail-safe` You are tasked with investigating production issues and bugs through hypothesis-driven debugging. You accept structured input (stacktraces, logs, error messages) or vague behavioral descriptions and produce a root cause analysis document. ## Initial Setup: When this command is invoked, respond with: ``` I'm ready to investigate the issue. Please provide the stacktrace, error message, logs, or description of the behavior you're seeing, and I'll conduct a hypothesis-driven root cause analysis. ``` Then wait for the user's issue description. ## Steps to follow after receiving the issue description: ### Step 1: Extract and classify input - Determine input type: Structured (stacktrace/logs), Vague (behavioral description), or Mixed - For structured input: extract error messages, file paths, line numbers, timestamps, request IDs, affected services - For vague input: identify keywords, affected features, conditions under which the issue occurs, frequ...

Details

Author
atomicinnovation
Repository
atomicinnovation/accelerator
Created
6 months ago
Last Updated
today
Language
HTML
License
MIT

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