Data

ATAC Seq processes bulk ATAC-seq data with QC, MACS3 peak calling, consensus peak matrices, differential accessibility, and motif or footprint follow-up. Use it for paired-end ATAC analyses that need assay validation and downstream accessibility summaries.

Bio Dataset Search finds suitable biomedical datasets for a research topic and maps them to defined tasks. Use it to extract datasets from papers, search public repositories, and normalize metadata for benchmark planning.

Data Labeling designs and runs annotation workflows for machine learning datasets. It is used to set up labeling tools, pre-annotate data, manage quality control, and export labeled data for training.

Foldseek searches protein 3D structures for similar folds, structural homologs, and remote homologs. Use it to query PDB, AlphaFold, or other structure databases and to cluster structures by similarity.

Biz Scan analyzes a codebase for business opportunities, KPI coverage, monetization gaps, and missing data exposure. Use it when you need an advisory report on analytics instrumentation and revenue-related surfaces.

Log Analyzer reads text log files to find errors, exceptions, slow queries, and patterns. Use it to debug application issues, review performance bottlenecks, and summarize log trends.

Loongsuite Pilot Insight turns LoongSuite Pilot and AI coding agent logs into reusable SLS dashboard semantics. Use it to define metrics, SQL, chart layouts, and data-quality or team insight reports before rendering a dashboard with sls-dashboard-builder.

Readme Profile generates a shareable, anonymized AI-native developer README from local Claude Code, Codex CLI, Kiro, Trae, Gemini Antigravity, and Cursor data. It is used to summarize tool usage, collaboration style, project distribution, and monthly coding activity.

Anomaly Investigation diagnoses a known data anomaly by forming candidate causes, testing them against the data, and eliminating those the evidence refutes. Use it when you already have a spike, drop, or outlier and need the confirmed root cause and supporting evidence.

Data Analysis Loop performs iterative exploratory analysis on a dataset, testing one hypothesis at a time and only keeping findings that reproduce with a meaningful effect size. Use it for open-ended discovery when every claim needs a computed number behind it.

Scientific Figure Loop generates a publication-style scientific figure from data or a brief and iterates on it with an adversarial critic. Use it when you need a figure rendered from scratch, checked against a fixed rubric, and revised until it meets a quality threshold.

Tabular Cleanup rewrites messy CSV, TSV, Excel, JSON, or parquet data to match an inferred contract of binary checks. Use it when you need iterative, auditable cleanup with a replayable pipeline and deterministic stop conditions.