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Tactic for identifying circular causation — detect feedback loops, classify as reinforcing or balancing, document loop structure.
Passed 20 of 22 test cases with the skill, and 19 of 22 without it.
3 fixed17 passed either way0 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
You discovered that high CPU utilization triggers auto-scaling actions which subsequently increase monthly cloud spending. You need to record the new direct causal link from auto-scaler instance count to bill total. Which workflow action should be used?
| Checked | Without skill | With skill |
|---|---|---|
| Selects mechanism-edge-creation to establish the causal mechanism edge between variables | Missed | Passed |
The instructions your model reads when the skill loads.
Identify circular causation in the causal graph. Most real systems have feedback loops — they must be documented explicitly.
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| causal-chain-query | SOP for tracing causal chains — follow edges from cause to effect through intermediate variables. |
| loop-documentation | SOP for documenting a feedback loop — classify, describe dynamics, identify break points. |
| mechanism-edge-creation | SOP for creating a causal mechanism edge — documents how one variable causes changes in another. |
test cases passed, vs 19 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.