code-evolution
Autonomous multi-agent code evolution system for optimization problems. Use when solving complex optimization problems (packing, geometry, scheduling, search) through evolutionary approaches with multiple indep...
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Autonomous multi-agent code evolution system for optimization problems. Use when solving complex optimization problems (packing, geometry, scheduling, search) through evolutionary approaches with multiple indep...
Evaluate educational demos using Chrome tools for E2E testing. Executes test cases from test_cases.json, captures screenshots, verifies learning outcomes. Scores QUALITY relative to benchmark. Uses real browser...
Execute test_cases.json against educational demos. Systematic testing via Chrome E2E. Single tab, sequential agents. Output: agent_X_tests.json with PASS/FAIL/PARTIAL results. Captures screenshots and identifie...
Build educational demos with excellent UX. Use when spawned by orchestrator to create or improve interactive visualizations. Focus on: obvious next action, no scrolling, persistent state display. You don't see...
Orchestrate evolution of educational demos through multi-agent exploration. NEW WORKFLOW: First develop test cases, then spawn builders, then evaluate with Chrome E2E testing. Test cases define LEARNING outcome...
Watch educational demo like a learner (BLIND evaluation). No test cases. No benchmark. No rubric. Honest assessment of: impression, what works, what doesn't, learner impact, recommendation. Output: agent_X_free...
Develop educational test cases for demos. Creates test_cases.json with specific scenarios that verify LEARNING outcomes, not just UI interactions. Test cases define what a learner should experience and verify....
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