The open‑source “planning‑with‑files” project reproduces Manus’s workflow, showing that AI’s long‑term stability hinges on external memory via Context Engineering, and provides a Claude Skill that structures tasks with markdown files to prevent forgetting and goal drift.
This article explains Claude's Skill system, how Skills differ from prompts, the concept of industry Workflows, the boundaries between Skills, Tools, and MCPs, and provides a step‑by‑step guide for designing Skills, wrapping legacy systems into Workflows, and building a hybrid Workflow‑plus‑Agent architecture for reliable, auditable automation.
This article explains how to replace cumbersome, city‑specific prompt strings with modular AI Skills, demonstrates the food‑diorama‑skill that generates 3D gourmet dioramas, and provides a step‑by‑step guide for connecting the DeepSeek V3.2 model to Claude Code using environment variables or the CC Switch GUI.
Anthropic’s recent addition of Skills to Claude introduces a modular, metadata‑driven approach that lets AI agents load specific capabilities on demand, offering a more efficient alternative to MCP’s context‑heavy tool integration and promising scalable, progressive disclosure for specialized workflows.
