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Get Started Free →yogsoth-ai/convergence-distillation
Iterative convergence to a single answer through Classic Delphi, Modified Delphi, or Nominal Group Technique rounds.
Passed 18 of 21 test cases with the skill, and 11 of 21 without it.
and 11 more in the full report
10 fixed9 passed either way1 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the identifier of the primary tactic loop that executes judgment collection, feedback distribution, consensus measurement, and round evaluation?
| Checked | Without skill | With skill |
|---|---|---|
| The tactic name is iterative-convergence-round. | Missed | Passed |
The instructions your model reads when the skill loads.
Purpose: Drive multiple independent perspectives toward a single shared answer through iterative anonymous feedback rounds. Each round narrows the distribution of judgments until consensus threshold is met or stability is reached.
When to use:
| Parameter | Constraint |
|---|---|
| Rounds | 2–4 (stop at consensus or stability) |
| Perspectives | ≥4 independent |
| Consensus threshold | ≥70% agreement or IQR ≤ 1 |
| Key | Type | Description |
|---|---|---|
| question | string | The focal question being converged |
| perspectives | array | List of perspective descriptions |
| rounds | array | History of all round results |
| current_round | integer | Current round number |
| consensus_score | float | Latest consensus measurement |
| stability | boolean | Whether scores stopped changing |
test cases passed, vs 11 / 21 without
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