
from workflows8
Orchestrates diagnosis and targeted fixes mid-analysis: diagnose root cause, apply fixes with output-first verification, and update project learnings.
Provides a mid-analysis re-entry point for data science workflows. ds-fix enforces a strict diagnose-before-fix protocol: it loads workflow state, identifies the first step where outputs diverge, and delegates verified fixes while preserving LEARNINGS.md and PLAN.md. It includes gating and post-subagent constraints to ensure safe, auditable fixes.
Use when an ongoing analysis needs course-correction — e.g., runtime errors, wrong results, reviewer feedback, or data/schema changes. It is the re-entry midpoint (after /ds entry and before re-implement) designed for cases where you must resume, diagnose, and fix without losing context.
Designed for orchestrator-style agents used in data science workflows — agents that can read project files, spawn task subagents, and enforce hooks (notebook-debug, ds-review, ds-implement integrations).
This skill has not been reviewed by our automated audit pipeline yet.
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