run-the-requested-analysis
SolidUse when the supplied data looks synthetic, degraded, incomplete or wrong, and whenever you are tempted to reframe the study around what you found about the inputs, the harness or the evaluation. Covers what to do with a real data problem without losing the study.
Install
Quality Score: 80/100
Skill Content
Details
- Author
- tangxiangru
- Repository
- tangxiangru/AutoR
- Created
- 5 months ago
- Last Updated
- today
- Language
- Python
- License
- NOASSERTION
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
analyze
Analyze a finished coder-eval run and write analysis.md — cluster failures into systemic patterns, diagnose prompts, criteria, config, environment and cost, and recommend concrete fixes. Use when the user wants to know why a run failed, what to fix, or what a run says about their tasks.
data-analysis
Complete data-analysis tasks with bounded inspection, correct data semantics, native artifact handling, complete delivery, and risk-based verification.
analyze
Extract insight from a finished study and return a variance-aware adopt verdict — search-space boundaries, sampling density, infeasible fraction, training-curve pathologies, isolation plots, then adopt or not. Use for `/tml:analyze`, "here are my sweep results", "which config should I pick", "did this change actually help", "why do my runs disagree", "read this wandb export", "is this result real", or after `/tml:round`. Works standalone on results it did not produce — a CSV, a JSONL, or a tracker export is enough, and it names which checks the missing fields disable. Read-first: writes only under ./.tml/ and never edits project code. Do NOT use to design a study (that is /tml:round) or to review a code diff (that is /tml:review).