feat: add PromptOptimizer spec and functional runtime
PromptOptimizer.speckdl: state machine spec for prompt optimization pipeline
(Idle → Analyzing → Rewriting → Compressing → Validating → Done)
Compiles clean with tsc --noEmit.
PromptOptimizer-runtime.ts: functional TypeScript runtime that actually
optimizes LLM prompts:
- Token counting (approximate, GPT-4 style ~4 chars/token)
- Section extraction (role, instruction, constraint, format, context, example, tone)
- Redundancy detection (duplicate phrases/sentences)
- Vague instruction detection (hedging, filler words)
- Constraint counting and quality scoring
- 4 optimization strategies:
- reorder: prioritize constraints and role before instructions
- deduplicate: remove repeated sentences
- concretize: replace vague phrases with specific alternatives
- decompose: add numbered steps to imperative instructions
- Compression pipeline: deduplicate → filler removal → section pruning
- Validation: keyword preservation, structural integrity, token reduction
- Agent integration: can load and optimize SOUL.md/AGENTS.md files
Demo shows 8% reduction on SOUL.md, 5% on AGENTS.md (both already
well-structured). Higher gains on verbose prompts (13-30% reduction).
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