14,560 skills found · Page 396 of 486
spencermarx / V3 Deep IntegrationDeep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.
spencermarx / V3 Performance OptimizationAchieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.
spencermarx / V3 Swarm Coordination15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.
spencermarx / github-code-reviewComprehensive GitHub code review with AI-powered swarm coordination
spencermarx / github-multi-repoMulti-repository coordination, synchronization, and architecture management with AI swarm orchestration
spencermarx / stream-chainStream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
spencermarx / swarm-advancedAdvanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
spencermarx / github-modesThis document describes all GitHub integration modes available in Claude-Flow with ruv-swarm coordination. Each mode is optimized for specific GitHub workflows and includes batch tool integration for maximum efficiency.
spencermarx / project-board-syncSynchronize AI swarms with GitHub Projects for visual task management, progress tracking, and team coordination.
spencermarx / swarm-issueTransform GitHub Issues into intelligent swarm tasks, enabling automatic task decomposition and agent coordination.
spencermarx / sparc-mcp♾️ MCP Integration - You are the MCP (Management Control Panel) integration specialist responsible for connecting to a...
spencermarx / sparc-post-deployment-monitoring-mode📈 Deployment Monitor - You observe the system post-launch, collecting performance, logs, and user feedback. You flag reg...
spencermarx / sparc-modesSPARC (Specification, Planning, Architecture, Review, Code) is a comprehensive development methodology with 17 specialized modes, all integrated with MCP tools for enhanced coordination and execution.
spencermarx / sparc-sparc⚡️ SPARC Orchestrator - You are SPARC, the orchestrator of complex workflows. You break down large objectives into delega...
spencermarx / ReasoningBank IntelligenceImplement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement
spencermarx / Swarm OrchestrationOrchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination
spencermarx / V3 Memory UnificationUnify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend).
spencermarx / OCR Review-to-Approval LoopDrive a PR to an approved code review by looping OCR's multi-agent review and address steps. Runs /ocr:review then /ocr:address repeatedly until the review verdict is APPROVE, then one final /ocr:address for leftover suggestions, posting every review and every address round to the GitHub PR as comme…
jaechang-hits / opentrons-integrationOpentrons Protocol API v2 for OT-2/Flex: Python protocols for pipetting, serial dilutions, PCR, plate replication; control thermocycler, heater-shaker, magnetic, temperature modules. Use pylabrobot for multi-vendor.
jaechang-hits / plotly-interactive-visualizationInteractive visualization with Plotly. 40+ chart types (scatter, line, heatmap, 3D, geographic) with hover, zoom, pan. Two APIs: Plotly Express (DataFrame) and Graph Objects (fine control). For static publication figures use matplotlib; for statistical grammar use seaborn.
jaechang-hits / seaborn-statistical-visualizationStatistical visualization on matplotlib + pandas. Distributions (histplot, kdeplot, violin, box), relational (scatter, line), categorical, regression, correlation heatmaps. Auto aggregation/CIs. Use plotly for interactive; matplotlib for low-level.
jaechang-hits / single-cell-annotationBest practices for single-cell RNA-seq cell type annotation including marker-based, reference-based, and automated classification approaches.
jaechang-hits / pymc-bayesian-modelingBayesian modeling with PyMC 5: priors, likelihood, NUTS/ADVI sampling, diagnostics (R-hat, ESS), LOO/WAIC comparison, prediction. Hierarchical, logistic, GP variants; predictive checks.
jaechang-hits / scikit-survival-analysisTime-to-event modeling with scikit-survival: Cox PH (elastic net), Random Survival Forests, Boosting, SVMs for censored data. C-index, Brier, time-dependent AUC; Kaplan-Meier, Nelson-Aalen, competing risks. Pipeline/GridSearchCV compatible.
jaechang-hits / statsmodels-statistical-modelingPython statistical modeling: regression (OLS, WLS, GLM), discrete (Logit, Poisson, NegBin), time series (ARIMA, SARIMAX, VAR), with rigorous inference, diagnostics, and hypothesis tests. Use scikit-learn for ML; statistical-analysis for test choice.
jaechang-hits / cellpose-cell-segmentationDL cell/nucleus segmentation for fluorescence and brightfield microscopy. Pre-trained models (cyto3, nuclei, tissuenet) and a generalist flow-based algorithm segment cells without retraining. Outputs label masks for morphology and tracking.
jaechang-hits / flowio-flow-cytometryParse/write FCS (Flow Cytometry) files v2.0-3.1. Events as NumPy, channel metadata, multi-dataset files, CSV/FCS export. Use FlowKit for gating/compensation.
jaechang-hits / napari-image-viewerInteractive viewer for microscopy. Displays 2D/3D/4D arrays as Image, Labels, Points, Shapes, Tracks layers; supports annotation, plugin analysis, headless screenshots. Core visualization for Python bioimage workflows.
jaechang-hits / opencv-bioimage-analysisComputer vision for bio-image preprocessing, feature detection, real-time microscopy. Color conversion, morphology, contour/blob detection, template matching, optical flow on fluorescence/brightfield. 10-100× faster than pure Python via C++.
jaechang-hits / pyimagej-fiji-bridgePython bridge to ImageJ2/Fiji for macros, plugins (Bio-Formats, TrackMate, Analyze Particles), NumPy↔ImagePlus/ImgLib2 exchange, and ImageJ Ops. Automates Fiji headlessly from Python. Use scikit-image for pure Python without Fiji plugins; napari for visualization.
