LLM Benchmarking with lm-evaluation-harness
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
中文 AI Agent 实习冲刺导师。用于生成 8 周 AI Agent 学习路线的每周大纲、每日 6 小时学习内容、基于反馈的后续调整,以及 Obsidian 双链知识点维护。适用于用户提出“生成 Week N 大纲”“生成 Day N”“根据反馈继续”“补全双链/生成知识点笔记”等请求时。输出必须为中文,围绕 AI-Interview 主项目,包含固定 5…
$ npx skills add Marcos-wu/ai-agent-daily-mentor --skill ai-agent-daily-mentor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Marcos-wu/ai-agent-daily-mentor ai-agent-daily-mentor --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ai-agent-daily-mentor" agent skill from https://github.com/Marcos-wu/ai-agent-daily-mentor/tree/main into .claude/skills/ai-agent-daily-mentor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-daily-mentor", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Marcos-wu/ai-agent-daily-mentor --skill ai-agent-daily-mentor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Marcos-wu/ai-agent-daily-mentor ai-agent-daily-mentor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-agent-daily-mentor" agent skill from https://github.com/Marcos-wu/ai-agent-daily-mentor/tree/main into .agents/skills/ai-agent-daily-mentor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-daily-mentor", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Marcos-wu/ai-agent-daily-mentor --skill ai-agent-daily-mentor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Marcos-wu/ai-agent-daily-mentor ai-agent-daily-mentor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-agent-daily-mentor" agent skill from https://github.com/Marcos-wu/ai-agent-daily-mentor/tree/main into .cursor/skills/ai-agent-daily-mentor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-daily-mentor", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Marcos-wu/ai-agent-daily-mentor --skill ai-agent-daily-mentor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Marcos-wu/ai-agent-daily-mentor ai-agent-daily-mentor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-agent-daily-mentor" agent skill from https://github.com/Marcos-wu/ai-agent-daily-mentor/tree/main into .gemini/skills/ai-agent-daily-mentor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-daily-mentor", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Marcos-wu/ai-agent-daily-mentor ai-agent-daily-mentorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Marcos-wu/ai-agent-daily-mentor --skill ai-agent-daily-mentor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-agent-daily-mentor" agent skill from https://github.com/Marcos-wu/ai-agent-daily-mentor/tree/main into .github/skills/ai-agent-daily-mentor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-daily-mentor", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Marcos-wu/ai-agent-daily-mentor --skill ai-agent-daily-mentor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Marcos-wu/ai-agent-daily-mentor ai-agent-daily-mentor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-agent-daily-mentor" agent skill from https://github.com/Marcos-wu/ai-agent-daily-mentor/tree/main into .opencode/skills/ai-agent-daily-mentor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-daily-mentor", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ai-agent-daily-mentor中文 AI Agent 实习冲刺导师。用于生成 8 周 AI Agent 学习路线的每周大纲、每日 6 小时学习内容、基于反馈的后续调整,以及 Obsidian 双链知识点维护。适用于用户提出“生成 Week N 大纲”“生成 Day N”“根据反馈继续”“补全双链/生成知识点笔记”等请求时。输出必须为中文,围绕 AI-Interview 主项目,包含固定 5…
AI Agent Daily Mentor is an agent skill from Marcos-wu/ai-agent-daily-mentor. 中文 AI Agent 实习冲刺导师。用于生成 8 周 AI Agent 学习路线的每周大纲、每日 6 小时学习内容、基于反馈的后续调整,以及 Obsidian 双链知识点维护。适用于用户提出“生成 Week N 大纲”“生成 Day N”“根据反馈继续”“补全双链/生成知识点笔记”等请求时。输出必须为中文,围绕 AI-Interview 主项目,包含固定 5 模块、可运行代码、面试表达与求职闭环。
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `README.md`, `agents/openai.yaml` and `references/8-week-spine.md`).
It sits in AI & LLM Engineering. It works with Obsidian and Python. The repository describes itself as: 一个规划学习agent应用开发的导师skills.
9 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit a4952c2. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
AI Agent Daily Mentor loads about 1.4k tokens when it runs, and up to ~9.9k if it reads all its reference files. Until then it costs about 56 tokens; SKILL.md has 452 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 452 words (~1,377 tokens).
“使用本 skill 时,扮演严谨的 Python 后端兼 AI Agent 导师,带用户完成 2 个月上海/杭州 AI Agent 实习冲刺。所有教学说明必须使用中文;英文只允许出现在代码、命令、文件名、库名、API 名称和必要技术名词中。”
SKILL.md and 10 other files (references) in the repository root of Marcos-wu/ai-agent-daily-mentor.
Open the folder on GitHubat commit a4952c2
AI Agent Daily Mentor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Agent Daily Mentor this skillMarcos-wu/ai-agent-daily-mentor | 139 | — | ~1.4k | Automated safety check: Pass | None | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~2.3k | Automated safety check: Pass | MIT | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Paddle Design DistributedPaddlePaddle/Paddle | 24k | — | ~660 | Automated safety check: Pass | Apache-2.0 |
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
Orchestra-Research/AI-Research-SKILLs
Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.
Orchestra-Research/AI-Research-SKILLs
Explains OpenAI's CLIP model for zero-shot image classification, image-text similarity, semantic image search and content moderation, with install steps and code patterns.
PaddlePaddle/Paddle
A skill your agent uses when working with Paddle's distributed training system: understanding parallelism strategies (DP, ZeRO, TP, PP, SP), semi-automatic parallel with ProcessMesh + shardtensor…
onnx/onnx
Read or write ONNX text format ("onnxtxt"). An agent skill from onnx/onnx.
Categories
中文 AI Agent 实习冲刺导师。用于生成 8 周 AI Agent 学习路线的每周大纲、每日 6 小时学习内容、基于反馈的后续调整,以及 Obsidian 双链知识点维护。适用于用户提出“生成 Week N 大纲”“生成 Day N”“根据反馈继续”“补全双链/生成知识点笔记”等请求时。输出必须为中文,围绕 AI-Interview 主项目,包含固定 5…. AI Agent Daily Mentor is an agent skill from Marcos-wu/ai-agent-daily-mentor.
AI Agent Daily Mentor fits situations like: AI & LLM Engineering work in your project.
Run `npx skills add Marcos-wu/ai-agent-daily-mentor --skill ai-agent-daily-mentor -a claude-code`. Or copy the skill folder (the Marcos-wu/ai-agent-daily-mentor repository) into .claude/skills/ai-agent-daily-mentor in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Marcos-wu/ai-agent-daily-mentor --skill ai-agent-daily-mentor -a codex`. Or copy the skill folder (the Marcos-wu/ai-agent-daily-mentor repository) into .agents/skills/ai-agent-daily-mentor in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Marcos-wu/ai-agent-daily-mentor --skill ai-agent-daily-mentor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-agent-daily-mentor, .gemini/skills/ai-agent-daily-mentor, .github/skills/ai-agent-daily-mentor and .opencode/skills/ai-agent-daily-mentor in your project.
SKILL.md names no scripts, command-line tools or credentials: AI Agent Daily Mentor is instructions for the agent only. Our summary lists: Python 3; Docker.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
No licence was found for AI Agent Daily Mentor or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 8.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with AI Agent Daily Mentor: LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars), Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars) and CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Marcos-wu (a GitHub user) maintains it in Marcos-wu/ai-agent-daily-mentor, which has 139 GitHub stars. The repository was last updated on June 10, 2026.
Source: Marcos-wu/ai-agent-daily-mentor on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.