| name | clean-context-engineering |
| description | Reduce AI build errors by enforcing clean context discipline: curated inputs, minimal file payloads, and explicit update loops. |
Clean Context Engineering
Use this skill when model outputs drift, loop, or hallucinate due to noisy context.
Rules
- Prefer minimal, relevant file excerpts over dumping large folders.
- Never rely on chat-only memory for project-critical facts.
- Keep one canonical location for each class of information.
Context loop
- Identify exact task.
- Load only required files.
- Execute.
- Write decisions/state changes back to project brain.
- Start next task from updated files.
Anti-patterns
- "Build me an app" with no constraints.
- Re-sending stale context repeatedly.
- Letting acceptance criteria remain implicit.