# AlephAITech/WorkBuddyGuide

A practical, open-source guide to mastering WorkBuddy through real-world workflows.开源的 WorkBuddy 实战蓝皮书：教程、真实工作流、Skills、MCP、自动化与多智能体实践。

Repository: https://github.com/AlephAITech/WorkBuddyGuide
Canonical: https://ross.abutalabs.com/products/workbuddyguide
Homepage: https://workbuddy.homes/
Language: TypeScript
License: MIT
License Family: permissive
Topics: codex, guide, llm, workbuddy
Last push: 2026-08-15T15:49:38+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 35, longevity 3
- inputs: {"age_days": 54, "days_push": 18, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2485, forks 347 (observed 2026-08-28T04:06:55.476392+00:00)

## What it is
An open-source practical guide (a 'blue book') for mastering WorkBuddy, an AI assistant, through real-world tasks and workflows. It is published as a VitePress documentation site with 27 chapters spanning onboarding, office/knowledge/content case studies, Skill creation, MCP, automation reliability, and multi-agent team design, plus a community case-collection contribution system.

## Use cases
- learn how to use WorkBuddy from installation to first task
- find real-world workflow examples for an AI assistant
- automate office documents, knowledge management, or content production with AI
- build custom Skills for an AI assistant
- design multi-agent AI workflows and reliable automations
- find MCP integration examples and best practices
- turn a successful AI task into a reusable team workflow

## When to choose
- You are onboarding to WorkBuddy and want a task-driven, step-by-step path rather than a feature manual
- You need reproducible, community-reviewed case studies for office, file, meeting, investment, or content workflows
- You are planning team adoption and want guidance on Skill design, permission boundaries, acceptance criteria, and failure fallbacks

## When to avoid
- You need official API reference or authoritative feature documentation for WorkBuddy itself
- You want runnable software or a tool rather than tutorials and case studies
- You use a different AI assistant and need tool-specific documentation for it

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: tutorials, documentation, artificial-intelligence, developer-tools
- platform: -
- tags: workbuddy, blue-book, vitepress, mcp, skills, multi-agent, workflow-examples, community-cases, chinese, prompt-examples, ai-agents, automation, nodejs

## Member repositories
- AlephAITech/WorkBuddyGuide (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:55.476392+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:28:03.332749+00:00, confidence not recorded.
  - readme: https://github.com/AlephAITech/WorkBuddyGuide (fetched 2026-08-28T04:06:55.476392+00:00, sha 86f12e30fed4)
  - homepage: https://workbuddy.homes/ (fetched 2026-08-29T10:09:59.417747+00:00, sha 1e6ad0604898)
- Data as of 2026-08-30T08:39:29.467469+00:00.