Agent skill

Openprd Learning Review

by DavidLam-oss in DavidLam-oss/obsidian-wechat-converter

为 OpenPrd 工作区生成归档学习包、题材模板、证据清单、图文讲解模块和 HTML 电子书阅读器. An agent skill from DavidLam-oss/obsidian-wechat-converter.

MITAuto-check passed

Install Openprd Learning Review

skills CLI
$ npx skills add DavidLam-oss/obsidian-wechat-converter --skill openprd-learning-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install DavidLam-oss/obsidian-wechat-converter openprd-learning-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/DavidLam-oss/obsidian-wechat-converter.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/openprd-learning-review .claude/skills/openprd-learning-review && rm -rf skills-src

Use ~/.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/

Facts

Skill name
openprd-learning-review
GitHub stars
334
Token cost
~443 tokens
SKILL.md length
74 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

为 OpenPrd 工作区生成归档学习包、题材模板、证据清单、图文讲解模块和 HTML 电子书阅读器. An agent skill from DavidLam-oss/obsidian-wechat-converter.

  • Works in 6 steps: 从 .openprd/ 重建状态,并识别触发源是 loop finish… → 从参考库里选择题材。主题没有特殊要求时,默认使用 internet-product。 → 写正文前先从工作区状态、docs/basic 和 loop 报告收集证据。 → …
  • SKILL.md covers 产出物, 工作流程, 扩展规则 and 参考资料
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Openprd Learning Review is an agent skill from DavidLam-oss/obsidian-wechat-converter. 为 OpenPrd 工作区生成归档学习包、题材模板、证据清单、图文讲解模块和 HTML 电子书阅读器。

Its SKILL.md is about 440 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Obsidian 公众号排版(支持自定义 CSS和公众号贴图)、飞书云同步与多平台(小红书、知乎等)发布插件。Markdown 转微信文章 / Feishu docs / 知乎、小红书、今日头条等草稿,支持数学公式、本地图片、GIF 和 Mermaid。 The licence is MIT.

Example prompts

  • “/openprd-learning-review”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. 从 .openprd/ 重建状态,并识别触发源是 loop finish 还是手动请求。
  2. 从参考库里选择题材。主题没有特殊要求时,默认使用 internet-product。
  3. 写正文前先从工作区状态、docs/basic 和 loop 报告收集证据。
  4. 分离证据清单、叙事正文和渲染器;所有判断都必须能引用 source id。面向产品或非技术读者时,优先补 visualExplainer 图卡。
  5. 尽可能在每章加入检索模块、工作示例模块和必要的图文比喻卡。
  6. 把学习包归档到 .openprd/learning/archive//,并在合适时打开 reader.html。

What it can do on your machine

Read from SKILL.md and the folder at commit 3fef612. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Openprd Learning Review loads about 443 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 74 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~19
When it runs · the whole SKILL.md, loaded when a task matches
~443

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from DavidLam-oss/obsidian-wechat-converter at commit 3fef612, republished under its MIT licence (© DavidLam-oss). 74 words, ~443 tokens.

Download SKILL.mdSave it as .claude/skills/openprd-learning-review/SKILL.md (or your agent's skills folder).
name
openprd-learning-review
description
为 OpenPrd 工作区生成归档学习包、题材模板、证据清单、图文讲解模块和 HTML 电子书阅读器。
<!-- OPENPRD:GENERATED
adapter=codex
source=openprd-learning-review
version=0.1.19
checksum=1841678396624fe1
-->

OpenPrd Learning Review

当用户希望生成复盘学习包、题材模板库、证据清单、图文讲解模块、检索模块、工作示例或 OpenPrd 工作区里的 HTML 电子书阅读器时,使用这份 skill。 当用户目标是学习、复盘、教学、经验沉淀或把一次工作转成可长期阅读的材料时,先判断期望产物是否需要章节结构、证据锚点、图文讲解、检索练习或阅读体验;需要时默认走这条路径。普通 Markdown 可以作为讲义补充,但不能替代阅读器;这个判断基于场景和产物形态,不基于关键词表。 即使用户只说“请生成一份仙侠风格的学习材料”这类短请求,也先把它理解成学习型交付物;仙侠、科幻、童话等风格是题材/文体参数,不能成为绕过学习包和阅读器流程、只在聊天里写普通文章的理由。

产出物

  • learning-content.json:版本化内容契约
  • evidence-manifest.json:source id、digest、摘录、claim 和缺口
  • learning-content.md:书籍式阅读稿
  • reader.html:固定电子书阅读器界面,支持章节级 visualExplainer 图卡
  • assets/:可选图片素材目录,用于归档 Codex Image 2 生成的图文解释图片
  • learning-package.json 和 .openprd/learning/index.json:归档元数据

工作流程

  1. 从 .openprd/ 重建状态,并识别触发源是 loop finish 还是手动请求。
  2. 从参考库里选择题材。主题没有特殊要求时,默认使用 internet-product。
  3. 写正文前先从工作区状态、docs/basic 和 loop 报告收集证据。
  4. 分离证据清单、叙事正文和渲染器;所有判断都必须能引用 source id。面向产品或非技术读者时,优先补 visualExplainer 图卡。
  5. 尽可能在每章加入检索模块、工作示例模块和必要的图文比喻卡。
  6. 把学习包归档到 .openprd/learning/archive/<packageId>/,并在合适时打开 reader.html。

扩展规则

  • 新增题材时扩展参考库,不要分叉渲染器。
  • 契约必须版本化;openprd.learning-content.v1 的演进要通过新版本完成。
  • 任何无法追溯到来源的句子都要显式标为推断。
  • 把阅读器保持为稳定的 HTML 电子书界面,包含 TOC、进度、上一章/下一章控制、章节内轻量证据锚点和可选图文解释卡。

参考资料

  • skills/openprd-learning-review/references/genre-library.md
  • skills/openprd-learning-review/references/content-contract.md
  • skills/openprd-learning-review/references/evidence-manifest.md
  • skills/openprd-learning-review/references/ebook-reader.md
  • skills/openprd-learning-review/references/retrieval-worked-example.md
  • skills/openprd-learning-review/references/quality-rubric.md

© DavidLam-oss, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .codex/skills/openprd-learning-review of DavidLam-oss/obsidian-wechat-converter.

Open the folder on GitHubat commit 3fef612

Compare with similar skills

Openprd Learning Review 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.

Openprd Learning Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Openprd Learning Review this skillDavidLam-oss/obsidian-wechat-converter334—~443Automated safety check: PassMIT
Rights Prepcigery-useio/useio-skills104—~2kAutomated safety check: PassNone
Openprd HarnessDavidLam-oss/obsidian-wechat-converter334—~4.1kAutomated safety check: PassMIT
Openprd RouterDavidLam-oss/obsidian-wechat-converter334—~790Automated safety check: PassMIT
Openprd SharedDavidLam-oss/obsidian-wechat-converter334—~4.3kAutomated safety check: PassMIT
Openprd Frontend DesignDavidLam-oss/obsidian-wechat-converter334—~2.7kAutomated safety check: PassMIT

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Questions about Openprd Learning Review

What does Openprd Learning Review do?

为 OpenPrd 工作区生成归档学习包、题材模板、证据清单、图文讲解模块和 HTML 电子书阅读器. An agent skill from DavidLam-oss/obsidian-wechat-converter. Openprd Learning Review is an agent skill from DavidLam-oss/obsidian-wechat-converter.

How do I install Openprd Learning Review in Claude Code?

Run `npx skills add DavidLam-oss/obsidian-wechat-converter --skill openprd-learning-review -a claude-code`. Or copy the skill folder (.codex/skills/openprd-learning-review in DavidLam-oss/obsidian-wechat-converter) into .claude/skills/openprd-learning-review in your project. Claude Code loads it when a task matches its description.

How do I install Openprd Learning Review in Codex?

Run `npx skills add DavidLam-oss/obsidian-wechat-converter --skill openprd-learning-review -a codex`. Or copy the skill folder (.codex/skills/openprd-learning-review in DavidLam-oss/obsidian-wechat-converter) into .agents/skills/openprd-learning-review in your project. Codex loads it when a task matches its description.

Can I use Openprd Learning Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DavidLam-oss/obsidian-wechat-converter --skill openprd-learning-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openprd-learning-review, .gemini/skills/openprd-learning-review, .github/skills/openprd-learning-review and .opencode/skills/openprd-learning-review in your project.

What does Openprd Learning Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Openprd Learning Review is instructions for the agent only.

Does Openprd Learning Review access the network?

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.

Is Openprd Learning Review safe to install?

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.

What licence does Openprd Learning Review use?

Openprd Learning Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Openprd Learning Review use?

About 443 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Openprd Learning Review?

Skills that share tags, products or a category with Openprd Learning Review: Rights Prep (cigery-useio/useio-skills, 104 stars), Openprd Harness (DavidLam-oss/obsidian-wechat-converter, 334 stars), Openprd Router (DavidLam-oss/obsidian-wechat-converter, 334 stars) and Openprd Shared (DavidLam-oss/obsidian-wechat-converter, 334 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Openprd Learning Review?

DavidLam-oss (a GitHub user) maintains it in DavidLam-oss/obsidian-wechat-converter, which has 334 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 9, 2026.

Source: DavidLam-oss/obsidian-wechat-converter on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.