Individual skill
context-engineering-review
Review what an LLM feature or agent actually puts in its context window — and find what's bloating, missing, or fighting itself. Use when asked to review a system prompt and context assembly, cut token usage without losing quality, debug an agent that ignores instructions, or audit how retrieval results, history, and tool definitions are packed into the window. Produces a context inventory with a keep/cut/restructure verdict per component, ordering and caching fixes, and a token budget. For wording-level prompt tuning use prompt-optimizer.
skills/context-engineering-review/SKILL.md
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- Last checked
- Nov 12, 2026
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- Repository last updated
- Nov 11, 2026
- License
- MIT
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- engineering Derived category
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# Context Engineering Review Skill
Most agent failures aren't model failures — they're context failures: instructions buried under retrieval dumps, stale history contradicting fresh facts, twelve tool definitions the task never needed. This skill audits the *assembled window*, not just the prompt text.
## What This Skill Produces
- A **context inventory**: every component in the window, its size, and who put it there
- A **keep / cut / restructure verdict** per component, with the reasoning
- **Ordering and cache-alignment fixes** (stable prefix first, volatile content last)
- A **token budget** per component with an enforcement point
## Required Inputs
Ask for (if not already provided):