Individual skill
context-engineering
Use when designing, reviewing, or debugging how an agent's context window gets filled, pruned, or shared — choosing what loads at boot versus on demand, sizing an install or an always-loaded file, fixing an agent that drifts, repeats itself, or forgets constraints mid-task, planning compaction or summarization, deciding single-agent versus subagents, engineering handoffs between agents, or picking a tool loadout. NOT for rewording a prompt's tone, choosing which model to pin, or debugging business logic — those are adjacent moments this skill does not serve. Historical 2024–2025 snapshot; not normative for present-day frontier models — see the Status section.
packages/daemon/specs/agents/shared/skills/process/context-engineering/SKILL.md
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- Observed behavior
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- Last checked
- Nov 5, 2026
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- Repository last updated
- Nov 7, 2026
- License
- Apache-2.0
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SKILL.mdcore · 32,916 bytes
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# Traditional Context Engineering — 2024–2025 Snapshot
## Status: provisional historical research snapshot
This skill is a provisional historical research snapshot of context-engineering practice as
published in 2024–2025. It is NOT normative. Do not apply it prescriptively to current frontier
models without re-verification. On any conflict, OpenRig current skills, explicit user rulings,
and directly measured OpenRig practice PREVAIL over this document. Treat these areas as
particularly suspect pending re-verification: compaction/summarization guidance, minimal-upfront
versus broad orientation, just-in-time lookup assumptions, fixed context ceilings, and
single-agent versus multi-agent advice.
Curated distillation of the best publicly available expertise on context engineering for coding
agents, drawn from primary sources at Anthropic, OpenAI, and leading practitioners (Manus,