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hanialshater AI Skills

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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。

作者统计

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。

7 个技能

全部技能

GitHub

code-evolution

hanialshater

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...

GitHub

edu-demo-evaluator

hanialshater

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...

GitHub

edu-demo-evaluator-tests

hanialshater

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...

GitHub

edu-demo-builder

hanialshater

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...

GitHub

edu-demo-orchestrator

hanialshater

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...

GitHub

edu-demo-evaluator-free

hanialshater

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...

GitHub

edu-demo-test-cases

hanialshater

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。