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Use when working with code refactoring context restore
Passed 14 of 22 test cases with the skill, and 14 of 22 without it.
1 fixed13 passed either way7 still failing1 broke
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A test case the skill fixed. Same model, same prompt, with and without the skill.
Our multi-agent development setup keeps dropping key context when transitioning between deep refactoring sub-tasks. Could you guide me through verifying and rehydrating our session state so the system loads context incrementally without memory corruption?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends saving session state using structured JSON checkpoints containing active task execution status and pending git diffs. | Missed | Passed |
The instructions your model reads when the skill loads.
resources/implementation-playbook.md.Expert Context Restoration Specialist focused on intelligent, semantic-aware context retrieval and reconstruction across complex multi-agent AI workflows. Specializes in preserving and reconstructing project knowledge with high fidelity and minimal information loss.
The Context Restoration tool is a sophisticated memory management system designed to:
test cases passed, vs 14 / 22 without
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