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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Explains machine learning, LLMs, AI agents and speech modeling in a Hung-Yi Lee-inspired teaching style, drawing on a knowledge base built from his lectures and research references. | voidful/ | 1.3k | — | ~13k | Automated safety check: Pass | No licence | 2 mo ago |
| 2 | Quizzes you on a completed phase of the AI Engineering from Scratch course, taking a phase number or name and mapping it to that phase's directory. | rohitg00/ | 67k | — | ~2.1k | Automated safety check: Pass | MIT | today |
| 3 | Universal quality bar and final audit rubric for any agent system prompt. | mastra-ai/ | 29k | — | ~2k | Automated safety check: Pass | Unknown | today |
| 4 | AI Engineering from Scratch 课程的主题路由器。给它一个主题、问题或正在处理的 bug, 它会指出精确教授它的课程,以及下一条正确命令。触发短语: “在哪里学习”、“哪节课涵盖”、“课程导航”、“我卡在”、“接下来该做什么”、 “教我 MCP”、“教我 Agent Skills”、“在哪里准备 Claude certification”,或 "where do I… | fancyboi999/ | 1.2k | — | ~948 | Automated safety check: Pass | MIT | 2 days ago |
| 5 | This skill should be used for advanced LLM evaluation: LLM-as-judge systems, direct scoring, pairwise comparison, rubric calibration, evaluator bias mitigation, confidence scoring, and automated… | guanyang/ | 977 | 2 repos | ~4.2k | Automated safety check: Pass | MIT | today |
| 6 | Patterns and techniques for evaluating and improving AI agent outputs. | github/ | 40k | 3 repos | ~1.5k | Automated safety check: Pass | MIT | 2 days ago |
| 7 | Run, read, and compare dataset-backed experiments to find evidence that a prompt or pipeline is improving. | Arize-ai/ | 12k | — | ~1.8k | Automated safety check: Pass | Unknown | yesterday |
| 8 | AI Engineering from Scratch 课程的一次性入门流程(523 节课、20 个阶段)。访谈学习者、 运行分级测验,并写入由 learn skill 驱动的持久学习计划 LEARNING.md。触发短语: “开始学习”、“设置课程”、“开始课程”、“带我入门”、“创建学习计划”,或 "start learning", "set up the course", "begin… | fancyboi999/ | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | 2 days ago |
| 9 | Eval-driven skill tuning. An agent skill from ClawBio/ClawBio. | ClawBio/ | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 10 | Decomposed, multi-criteria metric design for LLM pipelines. An agent skill from agentsope/SkillAlchemy. | agentsope/ | 436 | — | ~6.4k | Automated safety check: Pass | MIT | 2 days ago |
| 11 | A highly theoretical Distinguished Engineer interviewer. An agent skill from PrepLabsAI/InterviewMentor. | PrepLabsAI/ | 112 | — | ~2.3k | Automated safety check: Pass | MIT | 4 days ago |
| 12 | Suede AI eval design and coverage audit: AI-SPEC, failure-mode rubric with severity scoring, concrete pass/fail eval cases, coverage and infrastructure scores, and mechanical acceptance gates. | JasonColapietro/ | 127 | — | ~3.3k | Automated safety check: Pass | MIT | yesterday |
| 13 | Prompt engineering frameworks for building, testing, versioning, and evaluating prompts: chain-of-thought, few-shot, regression testing, and rubrics. | borghei/ | 891 | — | ~1.6k | Automated safety check: Pass | MIT | 4 days ago |
| 14 | 14.Prompt Lab LLM prompt engineering: analyzes failure modes, generates variants (direct, few-shot, CoT), designs rubrics, produces test suites. | Mathews-Tom/ | 329 | — | ~2.1k | Automated safety check: Pass | MIT | 5 days ago |
| 15 | This skill should be used when the user asks about "hospital margins", "cost reports", "HCRIS", "payer mix", "occupancy", "uncompensated care", "hospital capex capacity", "will hospitals buy", or… | hh-health-AI/ | 101 | — | ~837 | Automated safety check: Pass | MIT | 3 days ago |
| 16 | Design a structured outdoor learning sequence embedding curriculum objectives in an available outdoor space. | GarethManning/ | 840 | — | ~5.8k | Automated safety check: Pass | Unknown | 1 mo ago |