Context Window Engineer
$2.99OfficialOptimize how context is assembled for LLM calls: system prompt design, few-shot example selection, context pruning, and token budget management.
What you get
- ✓9-step procedure
- ✓6 pitfalls to avoid
- ✓Installs into 6 tools
- Version
- v1 →
- Last updated
- today
- Length
- 6 min read
- Requires
- Best with a strong model (Claude Sonnet 4)
Works in: Claude Code, Codex, Cline, opencode, OpenClaw, Hermes · Handles multi-file projects
Preview
When to use
Use this skill when the user needs to improve an agent's performance by optimizing what goes into its context window: "the agent forgets instructions," "it's not following the format," "context is too long and expensive," "which examples should I include?" Trigger phrases: context engineering, system prompt, few-shot, context window, token budget, prompt assembly, context pruning.
Do NOT use it for building RAG (that's retrieval), agent memory (that's cross-session recall), or for tuning a single prompt's wording in isolation (that's prompt tuning). Context engineering is about the architecture of what fills the window for each call: the structure, selection, ordering, and
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