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Append research process and results to the current Phase's context file. Each append MUST contain >=500 lines of markdown covering both process and results.
Passed 8 of 14 test cases with the skill, and 4 of 14 without it.
and 6 more in the full report
9 fixed4 passed either way6 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
We completed benchmarking GPU memory usage across PyTorch 2.0 and TensorRT for dynamic batch sizes. We want to update our phase log. Where do we look to locate the correct active context file path if context-init was already run earlier?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies context/INDEX.md as the source for locating the active context file path | Missed | Passed |
The instructions your model reads when the skill loads.
Append research process and results to the current Phase's context file.
Multiple times within a Phase, at plan-designated checkpoint points:
step: "import context-management:context-checkpoint"
Typically triggered after each strategy completes or at key decision nodes.
Import context-init. This is idempotent — if the context file for the current Phase already exists, it skips creation and returns the existing file path.
Determine the current Phase's context file path by:
context/INDEX.md for the most recent entry matching the current PhaseAppend a new section to the context file:
---
## Checkpoint: <Descriptive Name>
test cases passed, vs 4 / 14 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.