Plugins

1 plugin

Coauthor Technical Document

Install this pack to collaboratively write a technical spec or RFC with context gathering, iterative refinement, and reader testing.

3 skills · plugin

Results for “iterative-refinement”

5 skills

Implement iterative evaluation and refinement loops for AI agent outputs, using self-critique, evaluator-optimizer patterns, and rubric-based scoring to improve quality.

Run autonomous optimization loops that iteratively improve artifacts against evaluators using hypothesis tree refinement, without overfitting.

30.2k · bundle

More results

iterative-retrieval

Progressively refines context retrieval in multi-agent workflows to solve the subagent context problem.

Runs an autonomous optimization loop that iteratively improves an artifact against an objective and evaluator using Hypothesis Tree Refinement, with subagent executors in isolated git worktrees.

tao-run-automl-deft-pipeline

Runs a three-phase AOI training pipeline: AutoML HPO baseline, DEFT iterative data improvement, and AutoML refinement on the augmented dataset.