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Data & AI AI Skills

Discover Data & AI skills, compare source repositories and read the instructions for each workflow.

Categories: Data & AI

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GitHub

milestone

Synthesys-Lab

Drive implementation forward incrementally with automatic progress tracking, LOC monitoring, and milestone checkpoint creation

GitHub

open-pr

Synthesys-Lab

Create GitHub pull requests from conversation context with proper formatting and tag selection

GitHub

plan-guideline

Synthesys-Lab

Create comprehensive implementation plans with detailed file-level changes and test strategies

GitHub

review-standard

Synthesys-Lab

Systematic code review skill checking documentation quality and promoting code reuse

GitHub

document-guideline

Synthesys-Lab

Instructs AI agents on documentation standards for design docs, folder READMEs, source code interfaces, and test cases

GitHub

move-a-file

Synthesys-Lab

Move or rename a file while automatically updating all references in source code and documentation

GitHub

miro-platform

miroapp

Comprehensive guide to Miro as a visual collaboration platform. Covers canvas features, content types, AI capabilities, and enterprise use cases. For MCP tool documentation, see the miro plugin's skill (miro-mc...

GitHub

miro-mcp

miroapp

This skill teaches how to use Miro MCP tools effectively for creating diagrams, documents, tables, and extracting context from Miro boards. Use when the user asks about Miro capabilities, wants to create conten...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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