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Skills IA data ai productivity tools

Découvrez les skills data ai productivity tools, comparez leurs dépôts et consultez leurs instructions.

Catégories: data ai productivity tools

12,721–12,744 sur 17,151

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GitHub

pair-programming

adebold

AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Fe...

GitHub

swarm-orchestration

adebold

Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building d...

GitHub

hooks-automation

adebold

Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination,...

GitHub

skill-builder

adebold

Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill...

GitHub

react-native-mobile-devops

allen-hsu

Mobile DevOps for React Native and Expo apps using EAS (Expo Application Services) and Fastlane. Use when (1) user needs to set up CI/CD for mobile apps, (2) user asks about EAS Build, Submit, Update, or Workfl...

GitHub

tech-spec-writer

allen-hsu

Create comprehensive technical specification documents through interactive Q&A. Use when (1) user asks to write a Tech Spec, (2) user wants to plan a new feature, (3) user needs to create technical documentatio...

GitHub

brainstorming

seanpham99

Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.

GitHub

plan-writing

seanpham99

Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work.

GitHub

parallel-agents

seanpham99

Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.

GitHub

behavioral-modes

seanpham99

AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.

GitHub

templates

seanpham99

Project scaffolding templates for new applications. Use when creating new projects from scratch. Contains 12 templates for various tech stacks.

GitHub

app-builder

seanpham99

Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

GitHub

gitlab-selfhosted

nmime

GitLab CE self-hosted deployment on Kubernetes. Use when installing, configuring, upgrading, or managing GitLab instances including runners, container registry, backups, and external database integration.

GitHub

plan

usorama

Generate execution plans from user queries through intake, research, specification, and validation. Use when user provides any query (vague to specific) and needs an executable plan for /execute skill.

GitHub

orchestrate-spec

usorama

Auto-detects next pending Smart Orchestrator component, spawns 2-3 research agents, generates evidence-backed specs, validates, and offers optional implementation with automatic progress tracking.

GitHub

progress-tracker

usorama

Track and report project progress automatically. Use for checking status, updating progress, sprint review, current state.

GitHub

execute

usorama

Deterministic plan execution with mathematical certainty. Use for implementing IMPLEMENTATION-PLAN.md files with triple verification, git workflow, and cross-session context sharing. Works identically for rad-e...

GitHub

project-planner

usorama

Interactive project planning for PRD, architecture, and epic/story generation. Use for new projects, planning features, creating PRDs, designing architecture, breaking down work into epics and stories.

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.

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