core-coder
Implementation specialist for writing clean, efficient code following best practices and design patterns
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Implementation specialist for writing clean, efficient code following best practices and design patterns
Pandas for time series analysis, OrcaFlex results processing, and marine engineering data workflows
Excel spreadsheet toolkit for creating, reading, and manipulating .xlsx files. Supports formulas, formatting, charts, and financial modeling with industry-standard conventions. Use for data analysis, financial...
Generate standardized Python project structure with pyproject.toml, UV environment, pytest configuration, and workspace-hub compliance. Creates production-ready project scaffolding.
SPARC Architecture phase specialist for system design, component architecture, interface design, scalability planning, and technology selection
Adaptive resource allocation, predictive scaling with ML, capacity planning, circuit breakers, and performance profiling. Use for intelligent resource management, auto-scaling, and fault tolerance.
Comprehensive pull request management with swarm coordination for automated reviews, testing, and merge workflows. Use for PR lifecycle management, multi-reviewer coordination, conflict resolution, and intellig...
Orchestrate complex software releases using AI swarms that handle everything from changelog generation to multi-platform deployment. Use for release planning, automated versioning, artifact building, progressiv...
GitHub Actions workflow automation for intelligent CI/CD pipelines with adaptive optimization. Use for workflow creation, pipeline optimization, security scanning, failure analysis, and automated deployment str...
Build complete document knowledge bases with PDF text extraction, OCR for scanned documents, vector embeddings, and semantic search. Use this for creating searchable document libraries from folders of PDFs, tec...
Comprehensive performance benchmarking, regression detection, automated testing, and performance validation. Use for CI/CD quality gates, baseline comparisons, and systematic performance testing.
Track and analyze usage metrics with timestamped logging
GitHub issue-based swarm coordination for intelligent task decomposition and progress tracking. Use for transforming issues into multi-agent tasks, automated triage, task breakdown, and issue lifecycle manageme...
YAML for configuration-driven engineering workflows, model setup, and analysis parameters
Build Retrieval-Augmented Generation (RAG) Q&A systems with Claude or OpenAI. Use for creating AI assistants that answer questions from document collections, technical libraries, or knowledge bases.
Flow Nexus credit management and billing operations. Use for checking balances, purchasing credits, configuring auto-refill, and tracking transactions.
Create and maintain brand guidelines including visual identity, voice and tone, and usage rules. Use for establishing brand standards, style guides, and ensuring brand consistency across materials.
AI swarm orchestration and management in Flow Nexus cloud. Use for deploying, coordinating, and scaling multi-agent swarms for complex task execution.
Python for engineering analysis, numerical computing, and scientific workflows using NumPy, SciPy, SymPy
Create custom animated GIFs for Slack reactions and celebrations. Use for team milestones, custom emoji reactions, inside jokes, and workplace fun.
Multi-repository git synchronization patterns for batch operations
Scan and catalog document collections with metadata extraction, categorization, and statistics. Use for auditing document libraries, preparing for knowledge base creation, or understanding large file collection...
Deploy specialized AI agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis. Use for automated multi-agent review, security vulnerability analysis, performance bot...
Apply SPARC methodology (Specification, Pseudocode, Architecture, Refinement, Completion) for systematic development. Use for feature development, TDD workflows, and structured problem-solving.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.