WorkflowsSection 1 of 13 · 5 workflows
Context Engineering
Prompt engineering is dead. Context engineering is what actually makes AI agents useful on real projects. It's the practice of architecting what your agent knows before it writes a single line — so it behaves like a senior engineer on your team, not a tourist.
Most agent failures aren't model failures. They're context failures. The agent didn't know your conventions, your test runner, your anti-patterns, or what "done" looks like. Context engineering fixes that at the source.
- 2 min readCLAUDE.md That Actually WorksStop re-explaining your project to every new agent session.Read
- 4 min readAGENTS.md — One File, Every AgentThe open standard that makes your project context portable across Claude Code, Cursor, Codex, Copilot, and 20+ other agents. Write it once, every agent reads it.Read
- 5 min readWriting Your Own SkillsThis hub is full of skills other people wrote. The compounding win is writing your own. A skill is how you encode your team's process once and have every agent follow it the same way.Read
- 1 min readExplore → Plan → ImplementSeparate research from implementation so you stop solving the wrong problem.Read
- 1 min readWriter / Reviewer PatternA second Claude session reviewing code it didn't write catches more than a self-review.Read