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...
浏览 hanialshater 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
7收录技能的仓库 Stars 合计
1仓库 Forks
0平均每个技能的仓库 Stars
0同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
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....
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。