feat: add OpenProse plugin skills
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# RLM: Self-Refinement
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# Recursive improvement until quality threshold
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input artifact: "The artifact to refine"
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input criteria: "Quality criteria"
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agent evaluator:
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model: sonnet
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prompt: "Score 0-100 against criteria. List specific issues."
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agent refiner:
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model: opus
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prompt: "Make targeted improvements. Preserve what works."
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block refine(content, depth):
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if depth <= 0:
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output content
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let eval = session: evaluator
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prompt: "Evaluate against: {criteria}"
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context: content
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if **score >= 85**:
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output content
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let improved = session: refiner
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prompt: "Fix the identified issues"
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context: { artifact: content, evaluation: eval }
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output do refine(improved, depth - 1)
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output result = do refine(artifact, 5)
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