This article explores the evolution of developer workflows, proposing that "skills" are becoming as essential as traditional Command Line Interfaces (CLIs). While CLIs are deterministic and require developers to provide all the necessary context, skills consist of simple Markdown files that teach AI agents how to operate within the specific context of a project.
By using YAML frontmatter and specific instructions, skills can orchestrate multiple tools like git, npm, and gh, adapting to project conventions and stack details automatically. The author argues that skills do not replace CLIs but rather sit on top of them, providing an orchestration layer that enables reasoning, adaptation, and complex multi-step workflows that traditional, static tools cannot achieve alone.
By using YAML frontmatter and specific instructions, skills can orchestrate multiple tools like git, npm, and gh, adapting to project conventions and stack details automatically. The author argues that skills do not replace CLIs but rather sit on top of them, providing an orchestration layer that enables reasoning, adaptation, and complex multi-step workflows that traditional, static tools cannot achieve alone.
A post with pithy observations and clear conclusions from building complex LLM workflows, covering topics like prompt chaining, data structuring, model limitations, and fine-tuning strategies.
The workflow triggers on push events on the 'master', 'main', and 'fix' branches, and runs on Ubuntu. It installs Make, caches the Cosmocc toolchain, sets up Cosmocc and Ape Loader, builds the project, makes a specific Llamafile, executes the Llama CLI CPU, and more.
