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StatefulDiscovery

StatefulDiscovery contiene 18 skills recopiladas de SUSTech-GenAI, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.

skills recopiladas
18
Stars
2
actualizado
2026-06-04
Forks
0
Cobertura ocupacional
4 categorías ocupacionales · 100% clasificado
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Skills en este repositorio

evidence-strength-judge
Científicos de datos

Invoke after experiment-runner completes an investigation's query bundle. Evaluates all claims in current_investigation.json and produces an investigation-level adjudication. Writes claim_scores.json.

2026-06-04
experiment-runner
Científicos de datos

Invoke after investigation-decomposition. Runs all queries in an investigation bundle using shared data preparation. Writes code and results.

2026-06-04
exploration-strategist
Científicos de datos

Invoke after main agent writes L2 assessment. Reads epistemic state (L1/L2), patterns, and investigations to recommend next action. Writes strategy_recommendation.json.

2026-06-04
gseapy
Científicos de datos

Gene set enrichment analysis (GSEA, Enrichr, over-representation). Invoke when query mentions enrichment, pathway analysis, GO analysis, GSEA, or gene set.

2026-06-04
investigation-decomposition
Científicos de datos

Invoke before running experiments for an investigation. Reads current_investigation.json and task_packet.json, writes current_investigation_requirements.json with shared data preparation and per-query requirements.

2026-06-04
mygene
Desarrolladores de software

Gene ID conversion and annotation. Invoke when you need to map between any gene identifier formats.

2026-06-04
phylogenetics
Científicos biológicos, todos los demás

Phylogenetic analysis: multiple sequence alignment (MAFFT), tree building (IQ-TREE, FastTree), tree metrics (treeness, branch lengths, patristic distances). Invoke when query involves phylogenetic trees, evolutionary analysis, sequence alignment, treeness, or tree statistics.

2026-06-04
pydeseq2
Científicos de datos

Differential expression analysis for RNA-seq count data. Invoke when query mentions DESeq2, differential expression, DE genes, or RNA-seq comparison.

2026-06-04
pysam
Desarrolladores de software

NGS data processing: read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ. Calculate coverage, perform pileup, run samtools/bcftools commands. Invoke when query involves sequencing alignment, variant calling, coverage depth, or read mapping.

2026-06-04
repro-gate-check
Desarrolladores de software

Invoke before final output. Validates that all claims have reproducible evidence (code files exist, experiment records complete). Run the bundled Python script.

2026-06-04
scanpy
Científicos de datos

Single-cell RNA-seq analysis pipeline. Invoke for .h5ad data, QC, normalization, PCA/UMAP, clustering, marker genes, cell type annotation.

2026-06-04
write-claims
Desarrolladores de software

Invoke for claims.json final output format reference. Defines the schema for aggregated claims across all investigations.

2026-06-04
write-experiment
Desarrolladores de software

Invoke before writing experiments.jsonl. Provides the exact JSON structure and required fields for experiment records.

2026-06-04
write-investigation
Desarrolladores de software

Invoke for investigations.json and current_investigation.json format reference. Defines the schema for claim investigations and query bundles.

2026-06-04
write-patterns
Desarrolladores de software

Invoke for patterns.json format reference. Defines the schema for tracking unexplained data patterns.

2026-06-04
write-state
Desarrolladores de software

Invoke for epistemic_state.json format reference. Defines the global exploration state schema with L1/L2 uncertainty assessment.

2026-06-04
gseapy
Científicos de datos

Gene set enrichment analysis (GSEA, Enrichr, over-representation). Invoke when query mentions enrichment, pathway analysis, GO analysis, GSEA, or gene set.

2026-06-04
repro-gate-check
Analistas de garantía de calidad de software y probadores

Invoke before final output. Validates that all claims have reproducible evidence (code files exist, experiment records complete). Run the bundled Python script.

2026-06-04