LearnPrompt
永久免费的中文 AI 实战 Wiki,教你把「想法→任务卡→Agent 交付→复盘」跑通真实项目
如果你已经在用 Claude Code 或 Codex,却总觉得 Agent 跑偏、东西做完就丢,LearnPrompt 的 8 条路径基本能对症下药——尤其是任务卡和 SKILL.md 那两组内容。它是免费开源的,试错成本几乎为零,但别指望它手把手教你打开终端:没有视频、没有交互式练习,纯新手会卡在前两页。把它当成工程笔记本而不是入门课,收益最大。
Verified 7d ago · liveness 77/100 · cite: rightaichoice.com/tools/learnprompt
- 已经在用 Claude Code / Codex,但工作流还很散的开发者
- 想把重复三次以上的流程写成 SKILL.md 或项目规则的效率型选手
- 正在做工具选型、比较 Claude Code 与 Codex 执行面的技术决策者
- 用 Obsidian 管 Markdown 笔记、想让 AI 读懂上下文的笔记用户
- 完全零基础、还没跑通过一次终端或 Git 的新手
- 想找工具榜单、模型排名或营销式介绍的用户
- 需要视频演示和即时反馈的交互式学习者
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Skip LearnPrompt if you want an interactive course with video walkthroughs, a certificate on completion, or a ranked list of AI tools to pick from — this is a self-directed Chinese-language engineering wiki you have to read and run yourself.
内容全部免费开放,但要拿到价值必须自己跑通每一张任务卡——时间成本才是真正的支出。
LearnPrompt 本身是免费开源的中文 AI 实践 Wiki,站内 47 篇教程与 8 条路径全部在线开放、无需注册。对已经在用 Claude Code 或 Codex 的开发者来说,它相当于零成本的流程参考手册;你在这上面省下的支出,会体现在外部工具(如 Claude Code、Codex)的订阅或 API 费用上,而不是本站。
In short
LearnPrompt — 永久免费的中文 AI 实战 Wiki,教你把「想法→任务卡→Agent 交付→复盘」跑通真实项目. Best for 已经在用 Claude Code / Codex,但工作流还很散的开发者, 想把重复三次以上的流程写成 SKILL.md 或项目规则的效率型选手, 正在做工具选型、比较 Claude Code 与 Codex 执行面的技术决策者. Free to use.
What's new in LearnPrompt
Checked 7 days agoAcross the latest 1 update: 1 launch.
Viability Score
How well maintained and how widely used is LearnPrompt? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- 8 条学习路径:AI 编程入门、Claude Code、Codex、Agent 工程等
- 47 篇教程,每篇标注一手来源与核验日期
- 任务卡模板:拆出输入、输出、失败态与验收标准
- CLAUDE.md / AGENTS.md 项目规则写作指南
- SKILL.md 写作指南:把重复流程包装为可复用 Skill
- Agentic Coding 最小工作流:计划、改动、验证、复盘
- Harness 五组件排查法,定位 Agent 跑偏缺失的那一层
- Claude Code 与 Codex 执行面选型对比(CLI / IDE / 桌面 / Cloud)
- Loop Engineering:为下一轮留下状态、验收结果和下一步
- Obsidian AI 知识工作台:目录、索引与项目交接
- Hermes / OpenClaw 长驻 Agent 架构导读与成本核算
- 可重放 Showcase:正常路径、失败场景与越界反例都要跑
- 开源课程,社区可贡献,支持 GitHub 协作
- 在线免费访问,无需注册
- 旧版 LearnPrompt 站点归档可回溯
About LearnPrompt
LearnPrompt 是一个永久免费、开源的中文 AI 实践 Wiki。它不罗列提示词,而是把「想法 → 任务卡 → Agent 交付 → 复盘沉淀」这条链路拆开讲清楚。站内现收录 47 篇教程,分成 8 条路径:AI 编程入门、Claude Code、Codex、Agent 工程、Agent Skills、Loop Engineering、Obsidian AI,以及 Hermes / OpenClaw 长驻 Agent 框架。每条路径对应一个具体处境,你可以只读自己卡住的那一部分,不必从头刷完。内容单元不是文章,而是可操作的任务卡——一张卡写明输入、输出、失败态和验收标准,Agent 交回代码后你去看 diff、跑测试,跑完再决定要不要把踩过的坑写进 AGENTS.md 或 SKILL.md。教程标注一手来源和核验日期,命令、权限、版本号回到官方文档对账,Showcase 要求正常路径和越界反例都跑一遍。它适合已经在用 Claude Code、Codex、ChatGPT、Obsidian 但工作流还是散的开发者和创作者。网站由 Carl 维护,开源在 GitHub,旧版课程保留归档。代价是内容偏工程、偏中文语境,没有视频教程,也不提供证书。
Behind the Verdict
LearnPrompt 的定位非常克制:它不当工具箱推荐站,也不做提示词仓库,而是围绕一条固定的交付链路——想法、任务卡、Agent 交付、复盘记忆——组织全部内容。这个选择决定了它的长处和短板。 长处有三。第一,内容单元是任务卡而非文章。一张卡写明输入、输出、失败态和验收标准,你照着做就能判断 Agent 有没有跑偏,而不是读完一篇教程却不知道下一步该敲什么命令。第二,它强迫你面对失败态。可重放 Showcase 要求正常路径、失败场景和越界反例都跑一遍,这在中文 AI 教程里少见——大多数教程只演示 happy path。第三,它呼应可沉淀的工作流。SKILL.md、AGENTS.md、CLAUDE.md 这几组内容,讲的都是把重复三次以上的流程包装成可复用资产,Loop Engineering 则要求每一轮留下状态、验收结果和下一步。 短板也直白。内容偏工程、偏中文语境,术语密度高,纯新手在第一页就会卡住;全站没有视频和交互式练习,学习曲线靠你自己动手走完;教程只覆盖 Claude Code、Codex、Agent Skills、Hermes / OpenClaw 等具体工具链,如果你用的不是这些工具,可迁移的只有方法而非步骤。8 条路径里 Loop Engineering 目前只有 1 篇,长驻 Agent 框架只有 3 篇,这两块的深度还不及其它路径。 它适合谁?已经在用 Claude Code、Codex、Obsidian 但工作流散的人;想把重复流程写成 SKILL.md 或项目规则的人;正在比较 Claude Code 与 Codex 四个执行面(CLI / IDE / 桌面 / Cloud)的技术决策者。不适合谁?完全零基础、还没跑通过终端或 Git 的新手;想找工具榜单、模型排名的人;需要视频演示或结业证书的人。把它当工程笔记本而不是入门课,收益最大。
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Real-world workflow fit
Concrete scenarios for the personas LearnPrompt actually fits — and what changes day-one when you adopt it.
打开 LearnPrompt 的 Claude Code 路径,照任务卡写下输入、输出、失败态和验收标准,把规则写进仓库的 CLAUDE.md,再让 Agent 交回代码并跑 diff 与测试。
Outcome: 第一次交付有了可检验的验收标准,Agent 跑偏时知道该改哪条规则,而不是重开对话。
读 Codex 路径中「四个执行面怎么选」一篇,对照工作要跑在哪里——CLI、IDE、桌面或 Cloud——再结合权限与审查需求做决定。
Outcome: 选型依据从个人习惯变成任务归属与审查流程,团队统一了执行面。
跟着 Obsidian AI 路径整理目录、写索引,把项目交接落到 Markdown 和 Git,让新会话看完文件就能继续。
Outcome: Markdown 笔记变成 Agent 可读的长期记忆,不再依赖翻聊天记录。
Use Cases
- 使用任务卡将模糊的 AI 项目想法转化为可执行计划
- 参照 CLAUDE.md 模板为代码仓库设置有效的项目规则
- 遵循 Agentic Coding 工作流实现一个完整的 AI 编程循环
- 将重复的 AI 操作包装成 SKILL.md 供团队复用
- 利用 Obsidian 工作流将个人笔记转化为 Agent 可读的长期上下文
- 在 Claude Code 和 Codex 之间做出基于任务归属的选型决策
- 用 Harness 五组件排查 Agent 跑偏时缺的是哪一层
- 核算 Hermes / OpenClaw 长驻 Agent 每月的实际成本
Limitations
LearnPrompt 是一个以中文为主的实战 Wiki,教程按路径组织(8 条路径、47 篇),要求学习者自行阅读并动手实践。教程内容针对 Claude Code、Codex、Agent Skills、OpenClaw 等具体工具链,包含命令、权限和版本信息,页面会标注核验日期,但站点未提供视频或交互式练习形式。内容结构上,Loop Engineering 目前只有 1 篇、Hermes / OpenClaw 长驻 Agent 框架只有 3 篇,这两条路径的深度明显不及其它路径。联系与反馈仅通过邮箱 carl@goodcase.ai、微信或公众号,未见社区论坛或问答区的证据。
as of 2026-09-21
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published LearnPrompt tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
已经在用 Claude Code 或 Codex、想把工作流从散乱改到可复用的开发者与创作者,无需注册即可全部阅读。
What this tier adds
起始入口,全站 8 条路径、47 篇教程、任务卡与 SKILL.md 模板免费开放,无付费层级。
Where the pricing makes sense
The company stage and team size where LearnPrompt's pricing actually pencils out — and where peers do it cheaper.
LearnPrompt 本身是免费开源的中文 AI 实践 Wiki,站内 47 篇教程与 8 条路径全部在线开放、无需注册。对已经在用 Claude Code 或 Codex 的开发者来说,它相当于零成本的流程参考手册;你在这上面省下的支出,会体现在外部工具(如 Claude Code、Codex)的订阅或 API 费用上,而不是本站。
Setup time & first value
How long it actually takes to get something useful out of LearnPrompt — broken out by persona, not the marketing-page minute.
零成本起步:不用注册、不用安装,打开网页即可阅读。只想挑几篇的话,从每条路径的「One Pick」8 篇开始,大约 15–30 分钟能读完一篇任务卡并动手做第一次交付。想按路径系统跑(如 Claude Code 的 8 篇),需要自己预留几小时到几天的实践时间。
Switching to or from LearnPrompt
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →从零散提示词合集:把「输入、输出、失败态、验收标准」写成任务卡,替代复制粘贴提示词。
- →从无项目规则的仓库:参照 CLAUDE.md / AGENTS.md 指南,为现有仓库补上第一条项目规则。
- →从散落在聊天记录里的经验:把重复三次以上的流程写进 SKILL.md,从对话迁移到可复用资产。
- ↗转到达标付费课程:如果你需要视频演示、交互练习或结业证书,LearnPrompt 不提供这些。
- ↗转到工具榜单类站点:如果你要的是模型排名和营销式工具介绍,去别处找。
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “LearnPrompt”, and we withheld 6: 6 could not be judged, because “LearnPrompt” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about LearnPrompt.
Official links
Tools that pair well with LearnPrompt
Common stack mates teams adopt alongside LearnPrompt, with the specific reason each pairing earns its keep.
Claude
Claude is Anthropic's AI assistant for long-document analysis, coding, and agentic work in chat and Cowork.
ReadMe
ReadMe is an API documentation platform with bi-directional Git sync and built-in AI writing assistants.
Bito
Bito's Governor is an AI model router and code context engine that cuts coding agent spend by grounding every request in your codebase.
Featured Head-to-Head Comparisons
Learnprompt vs Surge Ai
These two don't sit on the same shortlist, and pretending otherwise wastes your time. If you're an individual developer or small team trying to turn scattered Claude Code/Codex usage into a repeatable workflow — task cards, project rules, SKILL.md, loop engineering — LearnPrompt costs nothing and is the only one of the two that speaks to you. If you run post-training at a frontier lab and need credentialed experts producing RLHF preference data, red-team findings, or a benchmark number you can cite in a system card (OpenAI did exactly that with GDP.pdf in GPT-5.6), Surge AI is the vendor and LearnPrompt is irrelevant. Pick based on which sentence described your job.
Learnprompt vs Praktika
These aren't competitors — a buyer would never pick one over the other. LearnPrompt is a free, open-source Chinese Wiki for developers who want to turn Claude Code/Codex into repeatable agent workflows; Praktika is a mobile language-practice app with named AI tutors priced around $8/month. If you're shortlisting LearnPrompt, you're solving an AI-engineering problem and should compare it against other coding-agent education resources. If you're shortlisting Praktika, you're trying to speak a language out loud and should compare it against other speaking-practice apps. Buying both wouldn't even be a trade-off — they're for different jobs.
Learnprompt vs Genspark
These two aren't competitors — they answer different questions. Pick LearnPrompt if you're a developer who already runs Claude Code or Codex and wants a free, engineering-grade Chinese wiki to turn ad-hoc sessions into reusable SKILL.md, AGENTS.md, and task-card workflows; there's no signup, no video, and no certification. Pick Genspark if you're doing knowledge work — research synthesis, decks, sheets, docs, podcasts, or building a no-code internal tool via AI Employee — and you want an English-first hosted workspace that pulls cited Sparkpages and connects to Google Workspace or Microsoft 365. A buyer would essentially never shortlist both for the same problem: one is a learning resource, the other is a productivity suite.
Learnprompt vs Roo Code
These are not substitutes, so don't treat this as a head-to-head. LearnPrompt is available today, costs nothing, and is the right pick if you already run Claude Code or Codex and want reusable task-card, CLAUDE.md/AGENTS.md and SKILL.md workflows. Roo Code is a pre-launch landing page with no download, no pricing and no demo — you can't switch to it now, and it isn't even in the same product category. Use LearnPrompt to fix your workflow; bookmark Roo Code only if you enjoy beta-testing unfinished tools.
Learnprompt vs Undermind
These two tools don't compete for the same budget, so treat this as a category contrast rather than a head-to-head. If you're a developer whose Claude Code or Codex workflow is still loose, LearnPrompt is free and targets exactly that — task-card templates, CLAUDE.md/AGENTS.md and SKILL.md writing guides, and a Harness five-component debugging method. If you're a researcher who needs to exhaust a literature and trace every claim back to a paper, Undermind is the tool; its ~2.9-minute search time is a feature, not a bug, for that job. Buy Undermind for literature depth, read LearnPrompt for agent workflow discipline — they aren't substitutes.
Learnprompt vs Sakana Ai
These are not substitutes and you will never pick one 'instead of' the other. LearnPrompt is free; if you're a developer whose Claude Code or Codex workflow is ad hoc, open the Codex CLI/IDE/desktop/Cloud selection path or the SKILL.md guide and fix the process this afternoon — cost is zero and there's no signup. Sakana AI is a procurement decision: it only makes sense if you are a Japanese or Japan-resident-regulated organization that must keep data onshore and needs Japanese-specialised LLMs (Namazu API), orchestration (Fugu), or generated analyst reports (Marlin). If you need published prices and self-serve signup, Sakana is the wrong vendor by design. Buy LearnPrompt's time cost, buy Sakana's contract — different budgets, different buyers.
Learnprompt vs Bito
These are not competitors — LearnPrompt is a free Chinese-language wiki that teaches you how to run agent workflows properly, and Bito Governor is a paid enterprise layer that intercepts the traffic those workflows generate and routes it for less money. If you're a developer whose Claude Code and Codex habits are still messy, read LearnPrompt's task cards, CLAUDE.md/AGENTS.md and SKILL.md guides, and the Loop Engineering path before paying anyone. If you're a platform lead watching agent spend climb across a multi-repo org, LearnPrompt won't save you a dollar — Bito's complexity routing and context engine is the product aimed at that bill, and it's a sales conversation, not a signup. Buying both is actually coherent: LearnPrompt teaches the workflow, Bito bills it more cheaply.
Learnprompt vs Poolside Ai
这两个产品几乎不会出现在同一张采购清单上:LearnPrompt 是一份免费的中文实战 Wiki,教你把 Claude Code、Codex 和 SKILL.md 串成可复用工作流,零成本、零门槛;Poolside AI 卖的是可以自己持有权重、跑在安全边界内的 Laguna 编码模型和带 RBAC、审计追踪的 Agent 平台,需要采购流程且无公开定价。如果你个人或小团队想提升现有 AI 编码工作流,直接读 LearnPrompt;如果你是受监管企业、代码不能出内网,请看 Poolside。把两者并列比较本身没有意义——它们解决的是完全不同的问题。
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