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Docs, README files, API references, tutorials, specs, and changelogs
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- Busco AssessorGenome, transcriptome, and protein completeness assessment via BUSCO v6. Agentic lineage routing from organism description, all three BUSCO modes, auto-lineage support, and full demo mode without the BUSCO binary.Votes: 0GitHub stars: 8
- BioservicesUnified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.Votes: 0GitHub stars: 8
- Biobankjapan Phewas SkillFetch compact BioBank Japan PheWAS summaries for single variants by accepting rsID, GRCh38, or GRCh37 input and resolving to the required GRCh37 query. Use when a user wants concise BBJ association results for one variantVotes: 0GitHub stars: 8
- Bio Metric SystemStep 4 of the bio-manuscript pipeline: design the evaluation-metric system. Use when extracting quantitative and qualitative metrics from literature or adjacent fields, organizing them into groups, and explaining what each metric measures and how to compute it.Votes: 0GitHub stars: 8
- BidsUse this skill when working with Brain Imaging Data Structure (BIDS) datasets: organizing neuroscience and biomedical data (MRI, EEG, MEG, iEEG, PET, microscopy, NIRS, motion capture, EMG, MR spectroscopy, behavioral), querying BIDS layouts, validating compliance, converting DICOM to BIDS, writing metadata sidecars, or creating BIDS derivatives.Votes: 0GitHub stars: 8
- Batch Draft WriterDrafts multiple email replies or follow-ups in batch using the Superhuman Mail MCP server — processing your inbox in bulk rather than one email at a time. Use this skill whenever someone asks to \"draft replies to my unread emails\", \"respond to all my emails\", \"write follow-ups for my meetings this week\", \"batch draft responses\", \"draft emails for all threads that need a reply\", \"auto-draft my inbox\", \"help me respond to everything\", \"write follow-up emails based on my meetings\...Votes: 0GitHub stars: 8
- Aws Mcp SetupConfigure AWS MCP servers for documentation search and API access. Use when setting up AWS MCP, configuring AWS documentation tools, troubleshooting MCP connectivity, or when user mentions aws-mcp, awsdocs, uvx setup, or MCP server configuration. Covers both Full AWS MCP Server (with uvx + credentials) and lightweight Documentation MCP (no auth required).Votes: 0GitHub stars: 8
- Apollo FederationGuide for authoring Apollo Federation subgraph schemas. Use this skill when: (1) creating new subgraph schemas for a federated supergraph, (2) defining or modifying entities with @key, (3) sharing types/fields across subgraphs with @shareable, (4) working with federation directives (@external, @requires, @provides, @override, @inaccessible), (5) troubleshooting composition errors, (6) any task involving federation schema design patterns.Votes: 0GitHub stars: 8
- Mixup Sequence AugmentationApply MixUp augmentation to padded time-series batches with Beta-distributed lambda and soft label mixingVotes: 0GitHub stars: 61
- Inverse Variance Channel WeightingWeight multi-channel signals by inverse per-channel variance with percentile clipping, emphasizing low-noise channels in aggregationVotes: 0GitHub stars: 61
- Weighted Recall Multi Objective MetricEvaluate recommendation quality with recall@K per action type, combined via business-importance weightsVotes: 0GitHub stars: 61
- Two Level Hierarchical AggregationAggregates deeply nested relational tables through two groupby levels (child → intermediate → parent) to build features from multi-hop relationships.Votes: 0GitHub stars: 61
- Nelder Mead Threshold OptimizationUse scipy Nelder-Mead simplex to optimize regression-to-ordinal thresholds maximizing quadratic weighted kappa on OOF predictionsVotes: 0GitHub stars: 61
- Log Odds Fold AveragingAverage model predictions across CV folds in log-odds space rather than probability space for better-calibrated ensemble outputsVotes: 0GitHub stars: 61
- Lgbm Dart BoostingUse LightGBM DART boosting (dropout on trees) with aggressive feature and bagging fractions to reduce overfitting on high-dimensional tabular dataVotes: 0GitHub stars: 61
- Ball Landing PredictionPredict where a projectile will land using kinematic equations with estimated gravity to intercept aerial passes in game AI simulationsVotes: 0GitHub stars: 61
- Worker Stratified KfoldStratifies CV folds by annotator/worker ID to prevent annotator style leakage across train and validation splits in crowd-sourced datasets.Votes: 0GitHub stars: 61
- Token To Char Span PredictionMap token-level classifier outputs back to character-level spans via offset mapping, thresholding, and contiguous groupingVotes: 0GitHub stars: 61
- Token Map Filtered Topk SpansFilters candidate span indices through a token map to skip special tokens, then cross-products top-k start/end indices with length constraints.Votes: 0GitHub stars: 61
- Spacy Custom Ner Span ExtractionTrain per-class spaCy NER models to extract task-specific spans as custom named entities with compounding batch sizesVotes: 0GitHub stars: 61
- Per Class Span FilteringFilters predicted NER spans using per-class minimum word-count and mean-probability thresholds to reduce false positives.Votes: 0GitHub stars: 61
- Pairwise Softmax Rank AggregationConverts pairwise binary predictions into continuous ranks via temperature-scaled softmax weighted sum over anchor positions.Votes: 0GitHub stars: 61
- Masked Bce Span LossBinary cross-entropy loss with mask to ignore special and padding tokens in token-level span classificationVotes: 0GitHub stars: 61
- Layerwise Lr DecayApplies different learning rates to transformer encoder vs task-specific head, with no weight decay on bias and LayerNorm.Votes: 0GitHub stars: 61