LearnPrompt is live · free · last verified 4 Nov 2026 · viability healthy

LearnPrompt

LearnPrompt

LearnPrompt 用任务卡把 Claude Code 与 Codex 的 Agentic Coding 工作流跑进真实项目

76/100Safe BetFreeFree

LearnPrompt 的价值不在「教你写提示词」,而在把 Agentic Coding 拆成可验收的动作:任务卡、diff、测试、复盘。Harness 五组件排查法和「第一个 SKILL.md」两组内容最能直接解决 Agent 跑偏、做完就丢的问题。网页端无需注册即可读,试错成本几乎为零;代价是内容偏工程、偏中文语境,纯新手容易卡在前两页。

Verdict generated

Verified 9d ago · liveness 76/100 · cite: rightaichoice.com/tools/learnprompt

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
  • 用 Obsidian 管 Markdown 笔记、想让 AI 读懂上下文的笔记用户
Not ideal for
  • 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
Visit Website

Intermediate无需注册,打开网页即可读:单项任务约 15–30 分钟能读完并跑通第一张任务卡;把 CLAUDE.md / AGENTS.md 规则落到自己仓库约半天(要先有一个可删的小仓库);把重复流程写成并校验第一个 SKILL.md 通常要 1–2 天。有 Claude Code 或 Codex 使用经验的人上手最快,纯新手会卡在前两页。WebNo public APIVerified 9d ago
Pricing
Free
FreeFree tier
Learning curve
Intermediate
无需注册,打开网页即可读:单项任务约 15–30 分钟能读完并跑通第一张任务卡;把 CLAUDE.md / AGENTS.md 规则落到自己仓库约半天(要先有一个可删的小仓库);把重复流程写成并校验第一个 SKILL.md 通常要 1–2 天。有 Claude Code 或 Codex 使用经验的人上手最快,纯新手会卡在前两页。
Runs on
Web
No public API · 7 integrations
Who it's for
已在用 Claude Code 的独立开发者团队里的效率型选手做长驻 Agent 选型的技术决策者
Live sentiment
Is LearnPrompt actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
Run a free scan

3 free scans · no card needed

Skip it if

Skip LearnPrompt if you need video walkthroughs, hands-on exercises or a certificate path — this is a Chinese-language, engineering-heavy wiki you read and then run yourself.

Skip-it-if note generated
The 30-second take
Price reality

LearnPrompt 全部内容在线免费阅读且无需注册,成本是你的时间而非订阅费:相比按席位收费的付费编程课程或认证培训,它省掉了这笔开销,代价是没有视频、答疑和结业证明,且内容以中文工程向为主。

Generated

In short

LearnPrompt — LearnPrompt 用任务卡把 Claude Code 与 Codex 的 Agentic Coding 工作流跑进真实项目. 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.

Claim this listing

What is LearnPrompt?

LearnPrompt — LearnPrompt 用任务卡把 Claude Code 与 Codex 的 Agentic Coding 工作流跑进真实项目. 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.

FreeIntermediateNo APIWeb

LearnPrompt 是一份开源的中文 AI 实战 Wiki,主题是把 AI 真正用进项目,而不是停留在提示词收藏。整个站点围绕一条链路组织:想法先写成任务卡,Agent 交回代码后看 diff、跑测试,做完把踩过的坑记进项目规则或 Skill。2026 年新版重组为 8 条路径、52 篇教程,每篇都有来源、教学图、Showcase 和独立审稿,页面标注核验日期。 路径划分对应你当下卡住的位置:AI 编程入门用一张任务卡、一份 diff 跑完第一轮;Claude Code 从本地小仓库练起,再进长会话、Skills 和多 Agent;Codex 先解决「工作在哪里跑」,再谈权限和审查;Agent 工程用 Harness 五组件排查法沿指令、约束、记忆、反馈、编排逐层定位跑偏原因。另有 Agent Skills、Loop Engineering、Obsidian AI 知识工作台,以及 Hermes / OpenClaw 长驻 Agent 架构导读与成本核算。 最小学习单元是任务卡而非文章,一张卡写清输入、输出、失败态和验收标准。Showcase 要求正常路径、失败场景和越界反例都跑一遍,保证可重放;命令、权限和版本号回官方文档对账。每条路径配一篇 One Pick 当入口,不要求顺序读完整站。 它服务的是已经在用 Claude Code、Codex、ChatGPT 或 Obsidian、但工作流还散着的开发者和创作者。站点由 Carl 维护,代码开源在 GitHub,旧版站点保留归档可回溯。和视频课、认证培训相比,它不提供交互练习或结业证明,胜在网页端免费直读、能对着真实项目照做。

Key features

  • 8 条学习路径:AI 编程入门、Claude Code、Codex、Agent 工程、Agent Skills、Loop Engineering、Obsidian AI、Hermes / OpenClaw
  • 任务卡模板:拆出输入、输出、失败态与验收标准
  • Agentic Coding 最小工作流:计划、改动、验证、复盘
  • Claude Code 与 Codex 执行面选型对比(CLI / IDE / 桌面 / Cloud)
  • 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
  • Harness 五组件排查法:指令、约束、记忆、反馈、编排逐层定位
  • 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
  • 教程标注一手来源与核验日期,命令权限回官方文档对账
  • 网页端在线免费阅读,无需注册
  • 开源课程仓库,社区可提交教程与 Agent 工作流
  • 旧版站点归档,可回看历史课程与导航

Behind the verdict

如果你已经在用 Claude Code 或 Codex,却总觉得 Agent 跑偏、或者一轮任务做完什么都没留下,LearnPrompt 值得先翻两页。它不卖课,也不做工具榜单,讲的是一条能重复的链路:把模糊想法写成任务卡,让 Agent 交回代码,你看 diff、跑测试,最后把坑记进 CLAUDE.md、AGENTS.md 或 SKILL.md。 最实用的两块是 Harness 五组件排查法和 SKILL.md 写作。前者按指令、约束、记忆、反馈、编排逐层拆,Agent 不稳时你能定位到缺的是哪一层,而不是笼统地「再试一次」。后者适合同一套流程已经做了三次以上的人,把触发条件和验收补齐,流程才真的可复用。 选型上,Codex 路径先逼你回答「工作在哪里跑」——CLI、IDE、桌面还是 Cloud——再谈权限和审查;Claude Code 路径则从本地小仓库起步,逐步进长会话和多 Agent。这个顺序是对的:先让最小闭环跑通,再谈复杂度。 需要提醒的是,Loop Engineering 目前只有 1 篇、Hermes / OpenClaw 只有 3 篇,想深入长驻 Agent 架构和成本核算的人会很快读完现有篇目。另外站点不提供交互练习、视频演示和结业证明,习惯跟着视频一步步点的人会觉得干。 我们会在两种情况下直接推它:一是团队里有人已经在跑 Agent,但项目规则和 Skill 还是空白;二是你想比较 Claude Code 与 Codex 的执行面,却不想看营销式对比。反过来,完全没碰过终端和 Git 的新手、或者想找模型排名和工具推荐的人,这里不是入口。 和视频课相比,它的优势是免费、可检索、能照着做;劣势是没有即时反馈,卡住时只能靠文档和社区。开源仓库和旧版归档让内容可追溯,这一点对需要核对命令和版本的人挺重要。

Limitations

LearnPrompt 是一个以中文为主的实战 Wiki,8 条路径、52 篇教程,要求你自行阅读并动手实践,没有视频或交互式练习形式的证据。内容针对 Claude Code、Codex、Agent Skills、Hermes/OpenClaw 等具体工具链,含命令、权限和版本信息,页面会标注核验日期,但工具侧变动后仍需你自行对账。结构上深度不均:Loop Engineering 只有 1 篇,Hermes / OpenClaw 长驻 Agent 框架只有 3 篇,明显不及其它路径。联系与反馈仅通过邮箱 carl@goodcase.ai、微信(aiwarts101)或公众号「卡尔的AI沃茨」。

as of 2026-10-11

Researching LearnPrompt? Get your full AI stack in 60 seconds.

Free, no signup — tell us your goal and get tools matched to your budget & existing stack.

Is LearnPrompt still active?

LearnPrompt is live · free · last verified 4 Nov 2026 · viability healthy.

Viability score

76/100
Safe Bet

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

Recent activity
not measured
Traction
100
Site health
95
User sentiment
not measured
What the vendor publishes
40

Last calculated: November 2026

How we score →

What do users say about LearnPrompt?

How we verified this

Every listed fact about LearnPrompt — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 4 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.

Verification history

We have re-verified LearnPrompt 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — changed SSL certificate
  2. — changed limitations, pricing tiers, our verdict, description, summary, who should skip it
  3. — changed pricing tiers, summary, features, our verdict, description
  4. — changed who should skip it, setup time, our verdict, features, summary, hidden costs, limitations, description, use cases, switching in, switching out, pricing fit
  5. — changed pricing page, link health, who should skip it, description, pricing tiers, features, summary, our verdict
  6. — changed SSL certificate, domain expiry

Free to cite with attribution — this page re-verifies continuously.

Claim this listing

How much does LearnPrompt cost in 2026?

LearnPrompt: Free to use. Pricing last verified 4 Nov 2026.

Plans compared

Every published LearnPrompt tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.

LearnPrompt pricing plans compared
PlanPriceBillingWho it's for
FreeFree—已经在用 Claude Code、Codex 或 Obsidian 的个人开发者与创作者,想按处境挑一段内容先跑通一轮交付Adds: 起始层级:8 条路径全部开放阅读,含任务卡、Showcase 与一手来源核验内容,无需注册,另有开源课程仓库与旧版站点归档

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
—
—

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

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 全部内容在线免费阅读且无需注册,成本是你的时间而非订阅费:相比按席位收费的付费编程课程或认证培训,它省掉了这笔开销,代价是没有视频、答疑和结业证明,且内容以中文工程向为主。

Hidden-cost and price-fit notes generated

Has LearnPrompt's pricing changed?

No plan price for LearnPrompt has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.

Who should pick LearnPrompt?

Pick LearnPrompt if you are 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.

Look elsewhere if you are 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, 想要证书、结业证明或体系化认证的培训寻求者.

Skip it if Skip LearnPrompt if you need video walkthroughs, hands-on exercises or a certificate path — this is a Chinese-language, engineering-heavy wiki you read and then run yourself.

Generated

Real-world workflow fit

Concrete scenarios for the personas LearnPrompt actually fits — and what changes day-one when you adopt it.

已在用 Claude Code 的独立开发者

手上有仓库但规则乱,先读 Claude Code 路径的「安装与第一个项目」,找一个随时可以删掉的小仓库跑通第一次改动,再照 CLAUDE.md 模板补项目规则。

Outcome: 第一次改动跑通并留下一份可提交的项目规则,后续会话不必重复解释上下文。

团队里的效率型选手

某个发布前检查流程已经手工做了三次,按 Agent Skills 路径的「第一个 SKILL.md 怎么写」把触发条件和验收补齐,再亲手校验和打包一次。

Outcome: 流程沉淀为可复用 Skill,团队成员调用同一套触发条件与验收标准。

做长驻 Agent 选型的技术决策者

对照 Hermes / OpenClaw 路径的「OpenClaw 架构导读」,跟着一条消息走完 Gateway、Node、Channel 和几道门禁,再按页面要求逐项核算每月成本。

Outcome: 拿到一份可用来做预算与架构判断的成本口径,而不是只有一个框架名词。

Workflow scenarios generated

Use cases

  • 用任务卡把模糊的 AI 想法转成带验收标准的可执行计划
  • 参照 CLAUDE.md / AGENTS.md 模板为代码仓库设置项目规则
  • 按 Agentic Coding 工作流跑完一轮完整交付:计划、改动、验证、复盘
  • 把重复三次以上的流程写成 SKILL.md 供团队复用
  • 用 Obsidian 目录与索引把个人笔记变成 Agent 可读的长期上下文
  • 依据任务在哪里跑,在 Claude Code 与 Codex 的四个执行面之间选型
  • Agent 跑偏时用 Harness 五组件查缺在哪一层
  • 核算 Hermes / OpenClaw 长驻 Agent 每月的实际成本

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.

无需注册,打开网页即可读:单项任务约 15–30 分钟能读完并跑通第一张任务卡;把 CLAUDE.md / AGENTS.md 规则落到自己仓库约半天(要先有一个可删的小仓库);把重复流程写成并校验第一个 SKILL.md 通常要 1–2 天。有 Claude Code 或 Codex 使用经验的人上手最快,纯新手会卡在前两页。

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.

Migrating in
  • →从散落的提示词收藏与聊天记录:改用任务卡模板,把输入、输出、失败态和验收标准写成一张卡再交给 Agent
  • →从纯靠会话上下文:按 Obsidian AI 路径把目录与索引落到 Markdown 和 Git,让新会话读完文件即可继续
  • →从各工具的官方单点文档:用 8 条路径的 One Pick 建立顺序,命令与权限仍回官方文档对账
Migrating out
  • ↗到体系化付费课程 / 认证培训:当团队需要结业证明、视频演示和即时答疑时
  • ↗到厂商官方文档与 Skills 仓库:当你要跟进最新版本、命令和权限变更时

Integrations

Claude CodeCodexObsidianChatGPTHermesOpenClawGitHub

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

What are the best LearnPrompt alternatives?

The closest alternatives to LearnPrompt we list are ADE, Sourcegraph Cody and Codey. Ranked by direct product-type match, not category overlap.

Closest alternatives to LearnPrompt
AlternativePricingStarts atLast verified
ADEFreeFree—
Sourcegraph CodyPaidPricing not published—
CodeyFreemiumPricing not published—

Alternatives to LearnPrompt

View all
ADE

ADE

ADE runs Claude Code, Codex, Cursor and other AI coding agents side by side in one synced agentic development environment

FreeTry
Sourcegraph Cody

Sourcegraph Cody

Sourcegraph Cody brings whole-codebase context to AI coding chat, completions, and agentic batch changes across hundreds of repos.

PaidTry
Codey

Codey

Codey brings local-first agentic coding to your machine: 25 agent CLIs and 200+ models on your own API keys for $10 flat.

FreemiumTry

Tools that pair well with LearnPrompt

Common stack mates teams adopt alongside LearnPrompt, with the specific reason each pairing earns its keep.

LearnPrompt vs its closest rival

LearnPrompt's closest head-to-head is with 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. Verdict generated

Head-to-head comparisons

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.

Generated

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.

Generated

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.

Generated

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.

Generated

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.

Generated

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.

Generated

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.

Generated

Frequently asked questions

For makers of LearnPrompt

Used LearnPrompt? Help shape our editorial sentiment research.