@polydao: THIS DOCUMENT FROM ANTHROPIC WILL LITERALLY GET YOU PROMOTED > the fastest way to reach a senior position is to automat…

X AI KOLs Timeline News

Summary

A tweet promotes an Anthropic document that teaches how to use Claude to automate daily workflows and build custom Skills via MCP servers, with the goal of accelerating career advancement.

THIS DOCUMENT FROM ANTHROPIC WILL LITERALLY GET YOU PROMOTED > the fastest way to reach a senior position is to automate your current job this technical paper shows how to encode your daily workflows into Claude build custom "Skills" to force the AI to do the heavy lifting: > package your routines into automated folders > the agent executes your tasks flawlessly in the background > it connects directly to your local tools via MCP servers hand off the junior work to the agent and easily claim your promotion grab the exact blueprint right here
Original Article
View Cached Full Text

Cached at: 07/01/26, 10:04 AM

THIS DOCUMENT FROM ANTHROPIC WILL LITERALLY GET YOU PROMOTED

the fastest way to reach a senior position is to automate your current job

this technical paper shows how to encode your daily workflows into Claude

build custom “Skills” to force the AI to do the heavy lifting:

package your routines into automated folders the agent executes your tasks flawlessly in the background it connects directly to your local tools via MCP servers

hand off the junior work to the agent and easily claim your promotion

grab the exact blueprint right here

Similar Articles

anthropics/skills

GitHub Trending (daily)

Anthropic has open-sourced a repository of 'skills' — reusable instructions, scripts, and resources that dynamically enhance Claude's performance on specialized tasks, covering creative, technical, and enterprise workflows.

@unicodef1wn: https://x.com/unicodef1wn/status/2070179071548395916

X AI KOLs Timeline

A thread explaining how Anthropic's dynamic workflows in Claude Code allow Claude to build custom harnesses for complex tasks, preventing failure modes like agentic laziness, self-preferential bias, and goal drift by splitting work across separate agents. It includes practical examples and patterns for users to implement.