Agent skill

Skill SEO Quality

by ZJU-REAL in ZJU-REAL/Easel

平台原生搜索流量优化:把内容做成能被平台搜索到的样子. An agent skill from ZJU-REAL/Easel.

Apache-2.0Auto-check passed

Install Skill SEO Quality

skills CLI
$ npx skills add ZJU-REAL/Easel --skill skill-seo-quality -a claude-code

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

GitHub CLI
$ gh skill install ZJU-REAL/Easel skill-seo-quality --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/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/skill-seo-quality .claude/skills/skill-seo-quality && 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
skill-seo-quality
GitHub stars
3.4k
Token cost
~617 tokens
SKILL.md length
128 words
Files
4 (incl. references)
Skills in repo
114
Repo updated
First seen
Licence
Apache-2.0

At a glance

平台原生搜索流量优化:把内容做成能被平台搜索到的样子. An agent skill from ZJU-REAL/Easel.

  • Works in 7 steps: 读取内容 —… → 确定平台与目标词 —… → 加载平台规则 — 读 references/platform-search.md… → …
  • SKILL.md covers 定位, 输入, 输出 and 执行步骤, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Skill SEO Quality is an agent skill from ZJU-REAL/Easel. 平台原生搜索流量优化:把内容做成能被平台搜索到的样子。 校验并优化标题/正文关键词布局、话题标签搜索权重、封面/首帧文字关键词、 搜索流量 vs 推荐流量的取舍。覆盖小红书、抖音、知乎、公众号、B站、微博。 当用户说"SEO 检查"、"搜索优化"、"关键词布局"、"搜不到我的内容"、 "怎么被搜到"、"话题标签怎么选"、"搜一搜优化"、"发布前校验"时使用。 网页/博客的 Meta/OG/Slug/E-E-A-T 校验作为可选模式保留(见 references)。

Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `EASEL-META.md`, `references/platform-search.md` and `references/web-blog-seo.md`).

The repository describes itself as: An open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohongshu, Douyin, Zhihu, Bilibili, and more.🎨一个开源的… The licence is Apache-2.0.

Example prompts

  • “SEO 检查”
  • “搜不到我的内容”
  • “话题标签怎么选”
  • “/skill-seo-quality”

Workflow steps

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

  1. 读取内容 — 取全文、标题、标签/话题、封面或首帧文字(视频取标题+简介+字幕关键帧)。
  2. 确定平台与目标词 — 无目标词时,从内容主题反推用户可能搜的关键词与长尾词(谁在搜、搜什么、用什么说法)。
  3. 加载平台规则 — 读 references/platform-search.md 中对应平台的搜索信号与关键词布局规则。
  4. 逐项校验 — 按该平台规则打分:关键词是否前置、密度是否自然、标签是否踩中搜索热词、封面/首帧是否含可搜文字。
  5. 诊断流量取舍 — 判断内容当前偏推荐还是搜索,给出为搜索补强而不牺牲可读性的改法。
  6. (可选)网页/博客模式 — 内容是公众号被百度收录的长文、知乎要冲搜索引擎、或独立站/博客时,读 references/web-blog-seo.md 追加 web SEO 校验。
  7. 排优先级并写产物 — 选出增益最大的 Top 3,保存到 outputs/<具体主题>/seo-report.md。

What it can do on your machine

Read from SKILL.md and the folder at commit 278f420. 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 (its code samples are markdown).

    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

Skill SEO Quality loads about 617 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 128 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~617
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

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 ZJU-REAL/Easel at commit 278f420, republished under its Apache-2.0 licence (© ZJU-REAL). 128 words, ~617 tokens.

Download SKILL.mdSave it as .claude/skills/skill-seo-quality/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
skill-seo-quality
description
平台原生搜索流量优化:把内容做成能被平台搜索到的样子。 校验并优化标题/正文关键词布局、话题标签搜索权重、封面/首帧文字关键词、 搜索流量 vs 推荐流量的取舍。覆盖小红书、抖音、知乎、公众号、B站、微博。 当用户说"SEO 检查"、"搜索优化"、"关键词布局"、"搜不到我的内容"、 "怎么被搜到"、"话题标签怎么选"、"搜一搜优化"、"发布前校验"时使用。 网页/博客的 Meta/OG/Slug/E-E-A-T 校验作为可选模式保留(见 references)。
layer
publish

平台原生搜索优化

让内容能被平台搜索到、排得靠前。以国内内容平台的站内搜索机制为主体,网页/博客 web SEO 作为可选模式。

定位

国内平台的流量分两条路:推荐流量(算法主动分发)和搜索流量(用户主动搜关键词命中)。多数创作只优化推荐,忽略搜索——而搜索流量精准、长尾、可累积。本 SKILL 专治搜索这条路:让标题、正文、标签、封面文字都踩中用户会搜的词。

推荐流量的钩子/完播/互动优化不在此列,交给 social-content / video-script。

输入

  • 待检查的内容(文件路径、文本、或已发布链接)
  • 目标平台(小红书 / 抖音 / 知乎 / 公众号 / B站 / 微博;缺省时询问或按 Profile)
  • 可选:目标关键词 / 想覆盖的搜索场景、检查侧重(发布前校验 / 关键词补强 / 全面优化)

输出

markdown
# 搜索优化报告 — [平台]

## 目标关键词命中盘点
| 关键词/搜索场景 | 出现位置(标题/正文/标签/封面) | 权重 | 状态 |

## 逐项校验(针对该平台的搜索信号)
| 检查项 | 状态 ✅/⚠️/❌ | 说明 | 修改建议 |

## 搜索 vs 推荐取舍诊断
(当前内容偏向哪条流量、是否需要为搜索让渡一部分推荐钩子)

## 整体评级:✅ 可发布 / ⚠️ 需修改 / ❌ 搜索面太窄
## 优先修改项(Top 3,按预期搜索曝光增益排序)

执行步骤

  1. 读取内容 — 取全文、标题、标签/话题、封面或首帧文字(视频取标题+简介+字幕关键帧)。
  2. 确定平台与目标词 — 无目标词时,从内容主题反推用户可能搜的关键词与长尾词(谁在搜、搜什么、用什么说法)。
  3. 加载平台规则 — 读 references/platform-search.md 中对应平台的搜索信号与关键词布局规则。
  4. 逐项校验 — 按该平台规则打分:关键词是否前置、密度是否自然、标签是否踩中搜索热词、封面/首帧是否含可搜文字。
  5. 诊断流量取舍 — 判断内容当前偏推荐还是搜索,给出为搜索补强而不牺牲可读性的改法。
  6. (可选)网页/博客模式 — 内容是公众号被百度收录的长文、知乎要冲搜索引擎、或独立站/博客时,读 references/web-blog-seo.md 追加 web SEO 校验。
  7. 排优先级并写产物 — 选出增益最大的 Top 3,保存到 outputs/<具体主题>/seo-report.md。

平台速览

各平台搜索机制差异很大,详细规则见 references/platform-search.md。核心分歧:

平台搜索入口最关键的搜索信号
小红书站内搜索框标题+正文关键词、话题标签、封面文字、收藏量
抖音搜索 + 视频推荐搜索卡位标题/文案关键词、话题词、完播与互动
知乎站内搜索 + 百度/谷歌收录问题匹配、回答质量信号;web SEO 在此适用
公众号微信搜一搜标题关键词、原创标、账号权重、被搜历史
B站站内搜索标题/tag/简介关键词、播放与完播
微博话题/超话/热搜话题词 #、时效性、互动量

适用边界:Meta 描述、Open Graph、URL/Slug、H1/H2 层级、E-E-A-T 这类 web SEO 只对"会被搜索引擎(百度/谷歌)抓取"的内容有效——知乎回答、独立站/博客、被外部收录的公众号文章。纯站内内容(小红书/抖音/B站/微博)不吃这套,别套。

检查原则

  • 关键词前置 — 用户搜索时系统优先匹配靠前的词;标题前段、正文首句放核心词。
  • 说人话的词 — 命中用户真实搜索用语,而非行业黑话或自造词。
  • 密度自然 — 关键词覆盖到位即可,堆砌反而被判低质、限流。
  • 标签是搜索权重不是装饰 — 话题标签直接进搜索索引,选高搜索量且相关的。
  • 封面/首帧可被搜 — 部分平台 OCR 封面文字进索引,封面文案也要含关键词。
  • 搜索与推荐可兼得 — 优先在不牺牲钩子和可读性的前提下补关键词,冲突时按内容目标取舍。

Profile 感知

  • 有 Profile:读 platform 锁定平台规则;读 audience 反推该人群的搜索用语;读账号常用 hashtag_sets 优先复用高权重标签;读 preferences 规避红线词。
  • 无 Profile:询问目标平台与想覆盖的搜索场景,按 references/platform-search.md 通用规则校验,末尾附注"提供账号 Profile 可获得更贴合受众搜索习惯的关键词建议"。

© ZJU-REAL, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in skills/openclaw/skill-seo-quality of ZJU-REAL/Easel.

  • SKILL.md
  • EASEL-META.md
  • references/platform-search.md
  • references/web-blog-seo.md

Open the folder on GitHubat commit 278f420

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Questions about Skill SEO Quality

What does Skill SEO Quality do?

平台原生搜索流量优化:把内容做成能被平台搜索到的样子. An agent skill from ZJU-REAL/Easel. Skill SEO Quality is an agent skill from ZJU-REAL/Easel.

How do I install Skill SEO Quality in Claude Code?

Run `npx skills add ZJU-REAL/Easel --skill skill-seo-quality -a claude-code`. Or copy the skill folder (skills/openclaw/skill-seo-quality in ZJU-REAL/Easel) into .claude/skills/skill-seo-quality in your project. Claude Code loads it when a task matches its description.

How do I install Skill SEO Quality in Codex?

Run `npx skills add ZJU-REAL/Easel --skill skill-seo-quality -a codex`. Or copy the skill folder (skills/openclaw/skill-seo-quality in ZJU-REAL/Easel) into .agents/skills/skill-seo-quality in your project. Codex loads it when a task matches its description.

Can I use Skill SEO Quality 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 ZJU-REAL/Easel --skill skill-seo-quality -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-seo-quality, .gemini/skills/skill-seo-quality, .github/skills/skill-seo-quality and .opencode/skills/skill-seo-quality in your project.

What does Skill SEO Quality need to run?

SKILL.md names no scripts, command-line tools or credentials: Skill SEO Quality is instructions for the agent only.

Does Skill SEO Quality 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 Skill SEO Quality 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 Skill SEO Quality use?

Skill SEO Quality is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill SEO Quality use?

About 617 tokens (SKILL.md is roughly 2.5k 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 2.1k tokens, read only when the agent opens those files.

Who maintains Skill SEO Quality?

ZJU-REAL (a GitHub organization) maintains it in ZJU-REAL/Easel, which has 3,376 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on October 9, 2026.

Source: ZJU-REAL/Easel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.