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数据与 AI AI 技能

发现 数据与 AI 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: 数据与 AI

显示第 13,585–13,608 个,共 83,104 个

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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

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...

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。

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