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.
Andrej Karpathy 视角顾问。以 Karpathy 的心智模型和工程师式判断,为 AI 产品经理场景做分析。
$ npx skills add SpaceZephyr/career.skill --skill ai-pm-advisor-karpathy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install SpaceZephyr/career.skill ai-pm-advisor-karpathy --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/SpaceZephyr/career.skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'已制作Skill/AI产品经理/ai-pm-advisor-karpathy' .claude/skills/ai-pm-advisor-karpathy && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ai-pm-advisor-karpathy" agent skill from https://github.com/SpaceZephyr/career.skill/tree/main/%E5%B7%B2%E5%88%B6%E4%BD%9CSkill/AI%E4%BA%A7%E5%93%81%E7%BB%8F%E7%90%86/ai-pm-advisor-karpathy into .claude/skills/ai-pm-advisor-karpathy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pm-advisor-karpathy", 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.
$skill-installer install https://github.com/SpaceZephyr/career.skill/tree/main/%E5%B7%B2%E5%88%B6%E4%BD%9CSkill/AI%E4%BA%A7%E5%93%81%E7%BB%8F%E7%90%86/ai-pm-advisor-karpathyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add SpaceZephyr/career.skill --skill ai-pm-advisor-karpathy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install SpaceZephyr/career.skill ai-pm-advisor-karpathy --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SpaceZephyr/career.skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'已制作Skill/AI产品经理/ai-pm-advisor-karpathy' .agents/skills/ai-pm-advisor-karpathy && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-pm-advisor-karpathy" agent skill from https://github.com/SpaceZephyr/career.skill/tree/main/%E5%B7%B2%E5%88%B6%E4%BD%9CSkill/AI%E4%BA%A7%E5%93%81%E7%BB%8F%E7%90%86/ai-pm-advisor-karpathy into .agents/skills/ai-pm-advisor-karpathy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pm-advisor-karpathy", 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 SpaceZephyr/career.skill --skill ai-pm-advisor-karpathy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install SpaceZephyr/career.skill ai-pm-advisor-karpathy --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SpaceZephyr/career.skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'已制作Skill/AI产品经理/ai-pm-advisor-karpathy' .cursor/skills/ai-pm-advisor-karpathy && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-pm-advisor-karpathy" agent skill from https://github.com/SpaceZephyr/career.skill/tree/main/%E5%B7%B2%E5%88%B6%E4%BD%9CSkill/AI%E4%BA%A7%E5%93%81%E7%BB%8F%E7%90%86/ai-pm-advisor-karpathy into .cursor/skills/ai-pm-advisor-karpathy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pm-advisor-karpathy", 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.
$ gemini skills install https://github.com/SpaceZephyr/career.skill.git --path '已制作Skill/AI产品经理/ai-pm-advisor-karpathy'--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add SpaceZephyr/career.skill --skill ai-pm-advisor-karpathy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install SpaceZephyr/career.skill ai-pm-advisor-karpathy --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SpaceZephyr/career.skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'已制作Skill/AI产品经理/ai-pm-advisor-karpathy' .gemini/skills/ai-pm-advisor-karpathy && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-pm-advisor-karpathy" agent skill from https://github.com/SpaceZephyr/career.skill/tree/main/%E5%B7%B2%E5%88%B6%E4%BD%9CSkill/AI%E4%BA%A7%E5%93%81%E7%BB%8F%E7%90%86/ai-pm-advisor-karpathy into .gemini/skills/ai-pm-advisor-karpathy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pm-advisor-karpathy", 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 SpaceZephyr/career.skill ai-pm-advisor-karpathyInstalls 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 SpaceZephyr/career.skill --skill ai-pm-advisor-karpathy -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/SpaceZephyr/career.skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/'已制作Skill/AI产品经理/ai-pm-advisor-karpathy' .github/skills/ai-pm-advisor-karpathy && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-pm-advisor-karpathy" agent skill from https://github.com/SpaceZephyr/career.skill/tree/main/%E5%B7%B2%E5%88%B6%E4%BD%9CSkill/AI%E4%BA%A7%E5%93%81%E7%BB%8F%E7%90%86/ai-pm-advisor-karpathy into .github/skills/ai-pm-advisor-karpathy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pm-advisor-karpathy", 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 SpaceZephyr/career.skill --skill ai-pm-advisor-karpathy -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install SpaceZephyr/career.skill ai-pm-advisor-karpathy --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SpaceZephyr/career.skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'已制作Skill/AI产品经理/ai-pm-advisor-karpathy' .opencode/skills/ai-pm-advisor-karpathy && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-pm-advisor-karpathy" agent skill from https://github.com/SpaceZephyr/career.skill/tree/main/%E5%B7%B2%E5%88%B6%E4%BD%9CSkill/AI%E4%BA%A7%E5%93%81%E7%BB%8F%E7%90%86/ai-pm-advisor-karpathy into .opencode/skills/ai-pm-advisor-karpathy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pm-advisor-karpathy", 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-pm-advisor-karpathyAndrej Karpathy 视角顾问。以 Karpathy 的心智模型和工程师式判断,为 AI 产品经理场景做分析。
AI Pm Advisor Karpathy is an agent skill from SpaceZephyr/career.skill. Andrej Karpathy 视角顾问。以 Karpathy 的心智模型和工程师式判断,为 AI 产品经理场景做分析。 蒸馏自 Software 2.0 博客、LLM OS 演讲、YC AI Startup School 2025《Software 3.0》主题演讲、 2025 LLM Year in Review、Lex Fridman 416 等一手来源,含 4 个心智模型、6 条决策启发式。 触发词:「Karpathy」「Software 2.0 / 3.0」「LLM OS」「Jagged Intelligence」「Autonomy Slider」 「Decade of Agents」「vibe coding」「Evals is everything」。 用户问"AI 功能能不能上""要不要上 Agent""这个 wrapper 是不是被下个模型吃掉"时也可触发。
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/research.md`).
It sits in AI & LLM Engineering, covering LLM evaluation. The repository describes itself as: 告诉 AI 你的职业,它帮你把工作拆成一套可以用的 Skill 库.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 2627168. 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.
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 Pm Advisor Karpathy loads about 1.2k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 104 tokens; SKILL.md has 484 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 484 words (~1,223 tokens).
SKILL.md and 1 other file (references) in 已制作Skill/AI产品经理/ai-pm-advisor-karpathy of SpaceZephyr/career.skill.
Open the folder on GitHubat commit 2627168
AI Pm Advisor Karpathy 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 Pm Advisor Karpathy this skillSpaceZephyr/career.skill | 160 | — | ~1.2k | Automated safety check: Pass | None | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Hugging Face Local Model Evalshuggingface/skills | 11k | 2 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Looperksimback/looper | 710 | — | ~2.7k | Automated safety check: Notes | MIT | |
| Agent Eval Engineeringlangchain-ai/langchain-skills | 1.3k | — | ~4k | Automated safety check: Pass | MIT | |
| Quality FlywheelGoogleCloudPlatform/vertex-ai-samples | 792 | — | ~2k | 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.
huggingface/skills
Runs evaluations of Hugging Face Hub models on local hardware with inspect-ai or lighteval, and helps choose between vLLM, Transformers and accelerate backends.
ksimback/looper
Scaffold a well-designed agent loop with best-practice coaching and a cross-model review council.
langchain-ai/langchain-skills
Builds agent evaluations in stages: inspect the repository and traces, agree a Task Spec with you, then build, audit and run a Harbor task with an independent verifier.
GoogleCloudPlatform/vertex-ai-samples
Evaluate and improve GenAI models and agents using the Google GenAI Evaluation SDK.
cloudnative-co/claude-code-starter-kit
Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles.
SpaceZephyr/career.skill
《AI Engineering: Building Applications with Foundation Models》(Chip Huyen, O'Reilly 2025) 方法论。
SpaceZephyr/career.skill
《俞军产品方法论》(俞军等,中信出版社 2019) 方法论。把书中的用户价值公式、交易模型、决策效用理论 改造为 AI 产品经理在 AI 化决策 / 需求评估 / 效用比较场景可直接执行的规则集。
SpaceZephyr/career.skill
AI 产品经理顾问团总控。成员:Marty Cagan、Andrej Karpathy、梁宁(专家视角)+ 《AI Engineering》(Chip Huyen)、《Prediction Machines》(Agrawal/Gans/Goldfarb)、 《俞军产品方法论》(方法论)。
SpaceZephyr/career.skill
投资专家顾问团总控。成员:段永平、查理·芒格、霍华德·马克斯(专家视角)+ 《聪明的投资者》《穷查理宝典》《投资最重要的事》(方法论)。
SpaceZephyr/career.skill
职业 Skill 工厂 2.0(career-skill-planner 升级版)。用户输入一个职业或行业,本 Skill 自动完成: (1) 遴选该行业 3 位顶尖专家,蒸馏其心智模型和决策方式,生成 3 个专家视角 Skill(参考女娲方法论); (2) 遴选该行业 3 本顶尖书籍,提炼成可执行方法论,生成 3 个方法论 Skill(参考 book2skills 方法论); (3) 生成…
SpaceZephyr/career.skill
Marty Cagan 视角顾问。以 Cagan 的心智模型和判断方式,为 AI 产品经理场景做分析. An agent skill from SpaceZephyr/career.skill.
Categories
Andrej Karpathy 视角顾问。以 Karpathy 的心智模型和工程师式判断,为 AI 产品经理场景做分析。. skill.
AI Pm Advisor Karpathy fits situations like: tasks that involve LLM evaluation.
Run `npx skills add SpaceZephyr/career.skill --skill ai-pm-advisor-karpathy -a claude-code`. Or copy the skill folder (已制作Skill/AI产品经理/ai-pm-advisor-karpathy in SpaceZephyr/career.skill) into .claude/skills/ai-pm-advisor-karpathy in your project. Claude Code loads it when a task matches its description.
Run `npx skills add SpaceZephyr/career.skill --skill ai-pm-advisor-karpathy -a codex`. Or copy the skill folder (已制作Skill/AI产品经理/ai-pm-advisor-karpathy in SpaceZephyr/career.skill) into .agents/skills/ai-pm-advisor-karpathy 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 SpaceZephyr/career.skill --skill ai-pm-advisor-karpathy -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-pm-advisor-karpathy, .gemini/skills/ai-pm-advisor-karpathy, .github/skills/ai-pm-advisor-karpathy and .opencode/skills/ai-pm-advisor-karpathy in your project.
SKILL.md names no scripts, command-line tools or credentials: AI Pm Advisor Karpathy is instructions for the agent only.
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 Pm Advisor Karpathy or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.2k tokens (SKILL.md is roughly 4.9k 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 3.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with AI Pm Advisor Karpathy: LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars), Hugging Face Local Model Evals (huggingface/skills, 11k stars), Looper (ksimback/looper, 710 stars) and Agent Eval Engineering (langchain-ai/langchain-skills, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
SpaceZephyr (a GitHub user) maintains it in SpaceZephyr/career.skill, which has 160 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on July 5, 2026.
Source: SpaceZephyr/career.skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.