Data & Analytics

A role skill for math modeling contests that analyzes the problem, selects models and algorithms, and produces exactly two deliverables: a problem analysis report and a terminology table.

Turns a research question into a complete experiment package: design doc, runnable code, results.json with provenance, publication-grade figures, and a structured report.

Audits a paper (PDF/DOI/arXiv) across image, numerical, and logical evidence tracks and produces a Level 1–4 graded, reviewable evidence report.

Builds a citation-backed earnings sentiment report covering call tone, guidance shifts and analyst estimates over the trailing four quarters.

A structured equity-research skill that decomposes how a public company makes money using XBRL segment data and SEC filings, then writes an analyst-grade report.

Decomposes a public company's organic and inorganic growth drivers from SEC filings and earnings calls into an analyst-grade, fully cited report.

Produces analyst-grade competitive landscape reports — peer positioning, market-share dynamics and moat assessment — sourced from SEC filings and earnings calls.

A skill for validating designed protein sequences and binder–target complexes with AlphaFold2/ColabFold and interpreting confidence metrics.

A ktx-internal skill that classifies and resolves ingest-time conflicts: duplicates, definitional contradictions, re-ingest changes, and evictions.

A production playbook for AI data infrastructure: RAG pipelines, embeddings, feature stores, and workflow orchestration.

Predict protein complex and protein–ligand structures with open-source Boltz-1/Boltz-2 and validate designed binders.

Run end-to-end protein binder design with BindCraft hallucination and built-in AF2 validation.

A strategic skill for choosing between data lake/warehouse/lakehouse, modeling styles, medallion layers, table formats, and data mesh readiness.