Run a two-stage trace-and-requirements pipeline to resolve unclear root causes.
npx skills add https://github.com/cheafi/Trading-bot-CC --skill deep-dive-cheafi
Please help me install this Agent Skill. Skill: deep-dive Source: https://github.com/cheafi/Trading-bot-CC/tree/main/.github/skills/deep-dive Command: npx skills add https://github.com/cheafi/Trading-bot-CC --skill deep-dive-cheafi
It helps you identify why something happened when the root cause is unclear, then turn those findings into actionable requirements.
Ask: "deep dive <problem or exploration target>".
High-intent search queries and answers about installing and using this skill.
To find the root cause of unclear system failures, deep-dive runs a two-stage trace-and-requirements pipeline that generates three hypotheses across code-path, config, and artifact lanes for parallel investigation.
Turning debugging findings into actionable requirements involves injecting trace-derived explanations into a deep-interview workflow, prioritizing questions from per-lane critical unknowns to define next steps.
Diagnosing broken systems with hypothesis tracing works by presenting three causal hypotheses for a single confirmation round, then executing three parallel tracer lanes to produce trace evidence.
Yes, you can hand off codebase investigation results to downstream pipeline orchestration tools like ralplan or omg-autopilot through available execution bridge options after synthesizing the trace.
When root cause analysis encounters low confidence in critical unknowns, the deep-interview workflow defers conclusions and replaces codebase context with synthesized results to avoid inaccurate requirements.
huyhung9630Generate hypotheses and gather evidence to trace software issues to their root cause.
jmstar85Trace root causes and interview to define actionable requirements.
EwallywTrace root causes and crystallize system requirements through a two-stage pipeline.
slbugTrace request execution paths in Ruby on Rails, Grape APIs, and Sidekiq jobs.
