Workflow for context packets, context audits, compaction, handoffs, session memory, and deciding what AI-agent context to load, retrieve, trim, summarize, refresh, or omit. Use for context rot, context flooding, stale or missing context, task switching, and long-running agent sessions. Do not use when prompt wording, repo file discovery for a story card, or AGENTS.md authoring is the main artifact
The exact command may vary by repository. Check the README on GitHub.
For the skill author
Drop this on your repo README
Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.
[](https://www.skillteca.com.br/skills/context-engineering-n-n-code?utm_source=badge&utm_medium=readme&utm_campaign=badge)
One short email with only the new Documentos skills. 4 minutes of reading, no spam, unsubscribe with one click.
You confirm your email on the first send. No spam. Unsubscribe with one click.
Context Engineering
Treat context as a finite working set. Load the smallest high-signal set of
information that can produce the desired behavior, then refresh it as the task
evolves.
When To Use
prepare a focused context packet before an agent starts work
audit why an agent is hallucinating APIs, ignoring conventions, repeating
mistakes, or losing the thread
decide what repo files, docs, examples, tool outputs, conversation history, or
external references should be loaded now
[Description truncada. Veja o README completo no GitHub.]
