Produces a crop-parameters JSON file for a given image and input vector.
npx skills add https://github.com/nichobbs/lyric-lang --skill deep-dive-nichobbs
Please help me install this Agent Skill. Skill: deep-dive Source: https://github.com/nichobbs/lyric-lang/tree/main/.claude/skills/deep-dive Command: npx skills add https://github.com/nichobbs/lyric-lang --skill deep-dive-nichobbs
Deep-dive turns ambiguous issues into evidence-based requirements by first investigating “why” and then guiding an interview to define “what to do” with the trace findings carried forward.
.omc/specs/ with state fields designed for interruption/resume robustness.Run deep-dive on your problem description to get a requirements spec backed by a causal trace, then hand it off to planning and execution when ready.
High-intent search queries and answers about installing and using this skill.
Root cause analysis transforms ambiguous bug investigation into actionable requirements by running a 2-stage trace-and-interview pipeline. It executes a causal trace with 3 parallel hypotheses to identify why an issue occurs before guiding an interactive interview to define what to do.
Spec generation from evidence-based system investigation uses ambiguity-threshold-gated logic to crystallize requirements. It injects safe trace-context from 3-point parallel evidence gathering into an interactive interview, ensuring the final spec is backed by confirmed causal hypotheses.
Interview orchestration for feature exploration seeds the first interview questions from per-lane critical unknowns. It reuses trace-derived context and enriches the starting problem description, targeting ambiguity resolution before generating any planning handoff specs.
Root cause analysis does not require a complete problem description. You can run it on an ambiguous issue, and the pipeline will orchestrate parallel evidence gathering and an interactive interview to resolve root-cause uncertainty before generating any specs.
Planning handoff for downstream execution is handled via an explicit spec_path. The skill persists both the causal trace artifacts and the final requirements spec to the .omc/specs/ directory, using state fields designed for interruption and resume robustness.
dropsyoonTrace root causes across three parallel lanes and crystallize evidence-grounded requirements.
atmigtncaCoordinate a trace and interview workflow to generate evidence-based specs.
ChegginRun a two-stage trace and interview workflow to produce a testable specification.
xdkpRun a two-stage pipeline for root-cause investigation and requirements crystallization.