content-illustration-strategy

content-illustration-strategy is a skill for Claude Code from aAAaqwq/AGI-Super-Team. It costs 135 tokens per session (2,564 once invoked), scanned A, original, MIT.

An illustration-planning guide for articles and other published content. It chooses whether to use real conversation screenshots, product images, generated illustrations, diagrams, or comparison cards based on what the article needs to prove.

In plain words
What is it for?
It helps plan image sources, quantity, placement, and the use of screenshots for workflow evidence, product reviews, opinions, and mixed-content articles.
Why use it?
It prevents decorative images from weakening the main point and connects each image to the article's evidence and credibility.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: built for openclaw.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /home/aa/clawd/skills/content-illustration-strategy/references/article-image-playbooks.md.

Part of the agi-super-team plugin — 194 skills, 1 agent shipped together

Good fit It helps plan image sources, quantity, placement, and the use of screenshots for workflow evidence, product reviews, opinions, and mixed-content articles.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add aAAaqwq/AGI-Super-Team
Claude Code
/plugin install agi-super-team

Made for: Claude Code.

Or install agi-super-team, the plugin that ships this one along with the rest of its 194 skills, 1 agent.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for content-illustration-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/content-illustration-strategy/github.svg)](https://agentmods.dev/skills/aaaaqwq/agi-super-team/content-illustration-strategy)
Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/content-illustration-strategy"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/content-illustration-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 135 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,564 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00135 $0.02564
Opus 5 $0.00068 $0.01282
Sonnet 5 $0.00027 $0.00513
Haiku 4.5 $0.00014 $0.00256

Measured 6d ago against content hash ec53c5eb5963, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

content-illustration-strategy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/content-illustration-strategy/SKILL.md · 256 lines

How it starts

The opening of the file, as written. The whole thing — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.

文章配图决策

这不是“随便找几张图填空”的 skill。 这是把文章可信度、信息密度、点击感,映射成正确图片来源的决策流程。

核心原则

配图不是固定配额,而是为“证明这篇文章在说什么”服务。

判断顺序永远是:

  1. 这篇文章靠什么建立可信度?
  2. 什么图片最能证明这件事?
  3. 哪种图片会稀释主轴?

快速工作流

输入:文章标题 + 核心观点 + 平台 + 可用素材
  ↓
Step 1: 判断文章的证据类型
  ↓
Step 2: 选择图片来源(截图 / 官网图 / 生成图 / 流程图)
  ↓
Step 3: 决定图片数量与插入位置
  ↓
Step 4: 判断是否需要 Telegram 真实对话证据图
  ↓
Step 5: 输出可执行配图方案

Step 1:先判断文章的证据类型

把文章先归到下面四类之一(必要时可混合,但要分主次):

A. 真实工作流证据型

适用:

  • OpenClaw 技巧
  • Agent 协作
  • 自动化工作流
  • “我真的这样跑起来了”的实战文

这类文章的可信度来自:真实过程与真实结果

优先图片:

  • Telegram 对话截图
  • 后台执行截图
  • 工作流节点截图
  • 发布前后对比截图

B. 产品实测 / 工具横评型

适用:

  • AI 工具评测
  • 软件横评
  • 功能对比
  • 使用体验总结

这类文章的可信度来自:产品本身 + 实测判断

优先图片:

  • 工具界面截图
  • 官网/产品页图
  • 功能对比图
  • 自制评分/定位图

C. 观点分析 / 趋势判断型

适用:

  • 行业趋势
  • 方法论
  • 批判文
  • 认知升级文

这类文章的可信度来自:逻辑结构与观点表达

优先图片:

  • 自生成概念插图
  • 流程图 / 对比图 / 结构图
  • 关键结论卡片图

D. 混合证据型

适用:

  • 一边讲工具,一边讲真实使用方式
  • 一边讲平台技巧,一边展示自己实操案例

这类文章必须先定主轴:

  • 主轴是工具 → 工具图为主,证据截图为辅
  • 主轴是工作流 → 证据截图为主,工具图为辅

Step 2:选择图片来源

按证据类型选来源,不要倒过来。

图片来源优先级

证据需求 首选图片来源 说明
证明“真的发生过” Telegram / 后台真实截图 最强真实性
证明“真的测过产品” 工具界面图 / 官网图 / 产品截图 最强相关性
解释“概念或结构” 自生成示意图 / 流程图 最强表达力
增强阅读节奏 结论卡 / 对比卡 / 小结图 最强结构感

反向约束

不要这样配:

  • 工具测评文,全塞聊天截图
  • 工作流实战文,只放抽象插画
  • 方法论文,硬塞无关官网图
  • 为了“看起来丰富”塞没有证据价值的图

Step 3:什么时候该用 Telegram 真实对话截图

只有当截图本身能增强“证据链”时才用。

应该用 Telegram 图的情况

  • 文章在讲你和 agent 的真实协作过程
  • 文章在讲 OpenClaw / 自动化 / 工作流技巧
  • 文章需要证明“这不是纸上谈兵,而是实际在跑”
  • 对话本身就是案例的一部分

不必强行用 Telegram 图的情况

  • 纯产品横评
  • 纯行业分析
  • 纯概念解释
  • 聊天截图不能提供额外信息,只会打断阅读

Step 4:Telegram 截图脱敏规则

默认不要原样暴露私人信息。

三档处理

  • A 完整保留:仅适合用户明确要求
  • B 半脱敏:保留关键对话,弱化头像/时间/名称
  • C 强脱敏(默认推荐):只保留对话气泡内容,不保留账号身份特征

强脱敏原则

  • 保留:能证明案例成立的关键对话内容
  • 弱化/移除:头像、昵称、账号、精确时间、无关上下文
  • 截图只截有价值的区域,不做聊天记录全屏搬运

Step 5:图片数量与插入位置

不要先定“这篇必须 5 张图”。 先看文章结构。

默认规则

  • 1000-2000 字:2-4 张图
  • 2000-3500 字:3-6 张图
  • 3500+ 字:按章节分布,但仍然宁少勿滥

插图位置

优先插在:

  1. 开头 20% —— 建立主题感
  2. 第一段结论后 —— 给读者证据
  3. 章节切换处 —— 打断疲劳
  4. 复杂判断后 —— 给可视化支撑

避免:

  • 连续堆两三张相似图
  • 图文无关
  • 文章尾部才突然塞图

Step 6:输出格式

Read the full file on GitHub · 256 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 256 lines · 135 tokens per session scan A ec53c5eb5963

Subscribe to this mod's changes

content-illustration-strategy is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed today), licensed MIT. It adds 135 tokens to every session and 2,564 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

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