session-showcase

• +Excellent systematic research: fetched Anthropic's official prompt engineering documentation and synthesized 8+ techniques into a reusable skill with comprehensive research.md reference
• +Strong iterative optimization: reduced system prompts by 68% (from 27 to 10 lines) and user prompts from ~3000-5000 chars to ~500-800 chars while maintaining quality through XML structure and lean context
• +Good responsiveness to feedback: when user asked for efficient history, created compact Q:/A: format with 80-char truncation; when user wanted procedure outline, built single-line 'Phases: Prep(3) → Disassembly*(8)' format

• -No verification or testing: created skills and optimized prompts but never demonstrated they actually work or measure improvement - just theoretical optimization
• -Incomplete session: started creating a test-session skill at the end but got interrupted/compacted without finishing or showing results
• -Over-engineering risk: created elaborate prompt optimization infrastructure without validating it solves a real problem or improves measurable metrics like response quality or latency

Mixed signal. Shows strong research and documentation skills (important for enterprise sales), but lacks the 'ship and iterate' mentality YC values. Spent entire session optimizing without proving the optimization matters. A YC partner would ask 'did response quality improve?' and there's no answer. The builder is thoughtful but needs to validate assumptions faster.