data-pipeline-processor
Process data files through transformation pipelines with validation, cleaning, and export. Use for CSV/Excel/JSON data processing, encoding handling, batch operations, and data transformation workflows.
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Process data files through transformation pipelines with validation, cleaning, and export. Use for CSV/Excel/JSON data processing, encoding handling, batch operations, and data transformation workflows.
SPARC Pseudocode phase specialist for algorithm design, data structure selection, complexity analysis, and design pattern identification
Score task complexity using keyword matching and heuristics
Orchestrate AI agents using Claude Flow, swarm coordination, and multi-agent workflows. Use for complex tasks requiring multiple specialized agents, parallel execution, or coordinated problem-solving.
Create new Claude Code skills with proper structure, documentation, and best practices. Use when building custom skills for specific domains, workflows, or organizational needs.
Parallel task execution patterns for 300% performance gains
PowerPoint presentation toolkit for creating new presentations, editing existing ones, and using templates. Supports HTML-to-PPTX conversion, slide manipulation, and professional design. Use when building prese...
Intelligent issue management and project coordination with automated tracking, progress monitoring, and team coordination. Use for issue creation with smart templates, progress tracking with swarm coordination,...
Dynamic swarm topology reconfiguration, network latency optimization, agent placement, and communication pattern optimization. Use for optimizing swarm structure, reducing communication overhead, and adaptive n...
Code-centric Goal-Oriented Action Planning integrated with SPARC methodology. Use for feature implementation planning, performance optimization goals, testing strategy development, or any software development o...
Generate standardized .agent-os directory structure with product documentation, mission, tech-stack, roadmap, and decision records. Enables AI-native workflows.
Universal bash CLI patterns for colors, logging, headers, and error handling
Execute data processing workflows defined in YAML configuration files. Supports data loading, transformation, validation, and reporting pipelines.
Manage and synchronize multiple Git repositories across workspace-hub. Use for bulk git operations, repository status checks, branch management, and coordinated commits across 26+ repositories.
Create generative art using p5.js with seeded randomness and interactive exploration. Use for computational aesthetics, parametric design, particle systems, noise fields, and procedural generation.
Collaborate on documents with tracked changes, suggestions, and iterative refinement. Use for reviewing drafts, providing editorial feedback, and collaborative document development.
Comprehensive GitHub integration modes for workflow orchestration, PR management, and repository coordination. Use for GitHub CLI operations, automated workflows, PR reviews, issue tracking, release management,...
Create and manage long-running background processes with start/stop/status controls, logging, and monitoring. Use for batch processing jobs, data pipelines, continuous services, or any long-running tasks.
SPARC Refinement phase specialist for iterative improvement through TDD, code optimization, refactoring, performance tuning, and quality improvement
Flow Nexus user management and system utilities. Use for profile management, storage operations, real-time subscriptions, and platform administration.
Strategic planning and task orchestration agent for breaking down complex tasks into actionable execution plans
Automated release coordination and deployment with swarm orchestration for seamless version management, testing, and deployment across multiple packages. Use for release pipelines, version coordination, deploym...
Create powerful interactive charts with Apache ECharts - balanced ease-of-use and customization
SPARC Specification phase specialist for requirements analysis, constraint identification, use case definition, and acceptance criteria creation
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.