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
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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.]
