Agent skill

Null Axiom Twitter

by kennyzir in kennyzir/7deer_skills

Null Axiom(@NullAxiomX)推文自动生成工具。根据人设调性生成符合 独立开发者/数据侦探风格的 Twitter 推文和 thread。

MITAuto-check passedWriting & Content

Install Null Axiom Twitter

skills CLI
$ npx skills add kennyzir/7deer_skills --skill null-axiom-twitter -a claude-code

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

GitHub CLI
$ gh skill install kennyzir/7deer_skills null-axiom-twitter --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/kennyzir/7deer_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/null-axiom-twitter .claude/skills/null-axiom-twitter && 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
null-axiom-twitter
GitHub stars
322
Token cost
~2.1k tokens
SKILL.md length
451 words
Files
1
Skills in repo
33
Repo updated
First seen
Licence
MIT

At a glance

Null Axiom(@NullAxiomX)推文自动生成工具。根据人设调性生成符合 独立开发者/数据侦探风格的 Twitter 推文和 thread。

  • Works in 4 steps: :确定支柱和话题 → :生成 3 个版本 → :评估与筛选 → …
  • Tasks that involve Social media posts
  • SKILL.md covers 一、人设核心规则, 二、五大内容支柱, 三、推文格式规范 and 四、生成流程, plus 5 more sections
  • Reaches x.com and twitter.com

What it does

Null Axiom Twitter is an agent skill from kennyzir/7deer_skills. Null Axiom(@NullAxiomX)推文自动生成工具。根据人设调性生成符合 独立开发者/数据侦探风格的 Twitter 推文和 thread。 触发词:生成推文 / 写推文 / Null Axiom / 生成推文草稿 / 帮我写推特 / 推文生成。 支持回复推文:当我发送一个 Twitter/X 帖子链接时,自动读取内容并生成符合人设的回复草稿。 附定时任务配置,支持每日自动生成并推送飞书审核。

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Writing & Content, covering Social media posts. It works with X (Twitter) and Microsoft Excel. The repository describes itself as: Composable, auditable Agent Skills for building Roblox game sites—from opportunity and keyword research to content, SEO, updates, and backlinks. The licence is MIT.

When your agent uses it

  • Tasks that involve Social media posts

Example prompts

  • “/null-axiom-twitter”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. :确定支柱和话题
  2. :生成 3 个版本
  3. :评估与筛选
  4. :输出格式

What it can do on your machine

Read from SKILL.md and the folder at commit 32a6881. 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 javascript, markdown, bash and json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • x.com
    • twitter.com
    • reddit.com

    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

Null Axiom Twitter loads about 2.1k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 451 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

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 kennyzir/7deer_skills at commit 32a6881, republished under its MIT licence (© kennyzir). 451 words, ~2,062 tokens.

Download SKILL.mdSave it as .claude/skills/null-axiom-twitter/SKILL.md (or your agent's skills folder).
name
null-axiom-twitter
description
Null Axiom(@NullAxiomX)推文自动生成工具。根据人设调性生成符合 独立开发者/数据侦探风格的 Twitter 推文和 thread。 触发词:生成推文 / 写推文 / Null Axiom / 生成推文草稿 / 帮我写推特 / 推文生成。 支持回复推文:当我发送一个 Twitter/X 帖子链接时,自动读取内容并生成符合人设的回复草稿。 附定时任务配置,支持每日自动生成并推送飞书审核。

Null Axiom Twitter Skill

根据 Null Axiom 人设自动生成 Twitter 推文草稿,输出到飞书供审核。


一、人设核心规则

声音调性(必须遵守)
规则说明
大小写纯小写为主,不需要大写字母
句子长度短句,每句 5-15 词
碎片化每段 1-3 句,自然断行
口头禅look / here's the thing / real talk / listen / nobody talks about this
偶发 typo正常,如:idk / tho / info / prolly / ppl
语气反 hype、反概念炒作、直接、不废话
核心哲学
  • Boring > Sexy:无聊的工具赚大钱,酷的产品活在 PPT 里

  • Code is liability:代码是负担,可持续收入才是资产

  • Excel is the Map:每个坏掉的 Excel 都是一个 SaaS 机会

  • Hype is Noise:跟 hype 的人是在噪音里找信号

  • Trust > Charm:第一次对话是魅力,第十二次对话是信任。真正的问题不是「听起来像人」,而是三个月后还一致吗。个性是入口,信任是终点。

    推文例子:

    here's the thing.
    personality at 2am is interesting.
    what's interestingER is whether your agent still says the boring true thing three months from now.
    the first conversation is charm.
    the twelfth conversation is trust.
    that's the actual test.
    
    → Null Axiom
    #OpenClaw #LocalAI
    nobody cares how your agent talks.
    they care whether it says the same thing when the heat is off.
    
    charm fades.
    trust compounds.
    
    → Null Axiom
    #BuildInPublic #IndieDev
禁止词(出现即替换或删句)
Landscape, Realm, Revolutionize, Unlock, In conclusion,
Crucial, Foster, game-changer, synergy, ecosystem,
leverage, cutting-edge, robust, seamless, scalable,
next-generation, best-in-class, world-class
产品关联规则
产品角色出现规则
your-product.com工具案例只作为自然案例,出现在机会发现/工具推荐支柱里,不超过 5%
YourDataTool数据锚点机会发现支柱可用,数据支撑,不主动推销
两者合计—不超过内容总量 5%

二、五大内容支柱

生成内容时,优先从以下支柱中选择方向:

支柱比例核心主题示例话题
独立开发哲学30%Boring>Sexy / 代码是负债 / Excel is the Map / 反 MVP 崇拜删除代码不减功能 / 护城河是客户关系不是技术
机会发现25%Glitch Hunt / Autopsy / 数据驱动判断市场 glitch / 无聊产品赚大钱 / 数据工具案例
SEO + 营销25%反 AI 内容农场 / 真实 B 端案例 / PLG > 付费投放口碑获客 / 你需要一个更好的敌人 / 最好 SEO 是做真正需要的东西
工具/技能15%冷门工具 / 工作流优化 / AI agent 技能层3 年不换的工具 / Skills > Models
产品5%your-product / YourDataTool 自然案例仅作为上述支柱的自然例子,不主动开新话题

三、推文格式规范

单条推文(默认)
[主句,5-15词]
[补句,5-10词]
[钩子或结论]

→ Null Axiom
#Hashtag1 #Hashtag2

格式要求:

  • 总字数:50-280 字符(含钩子)
  • 段数:2-4 段
  • 每段不超过 3 句
  • 结尾加 → Null Axiom(这是品牌 signature,不是 CTA)
  • Hashtag 最多 2 个,选自:#IndieDev #SEO #Growth #BuildInPublic #DevTools #SaaS
Thread(需要展开时使用)
第1条(Hook):
[一句话锐利观点,最大张力]
[钩子,让人不点进来不舒服]

第2条(Context):
[一句话背景,不废话]
[为什么这个值得说]

第3-N条(Body):
[每个观点独立成段]
[不超过4条]

最后一条(CTA):
[不要求关注,不要求转发]
[只是结论 or 锐利一句话]

→ Null Axiom
#Hashtag

四、生成流程

Step 1:确定支柱和话题

根据用户输入或自动选择:

  • 用户指定话题 → 映射到对应支柱 → 按支柱调性生成
  • 用户说"随便" → 按比例从五大支柱中随机选择(参考比例权重)
Step 2:生成 3 个版本

每个话题生成 3 个不同角度的草稿:

版本风格适用场景
锐利版一句话打完,收割认同感高争议话题 / 独立开发者社区
故事版有场景感,细节多工具推荐 / OpEx 案例
数据版有具体数字支撑SEO 案例 / 市场发现
Step 3:评估与筛选

不合格标准(任意一条则重来):

  • 出现禁止词
  • 单句超过 20 词
  • 有任何 emoji(除开结尾的 hashtag 区)
  • 语气像营销文案或销售话术
  • 产品推销感超过 20%

通过标准:

  • 读起来像凌晨 2 点写的
  • 有具体细节或数字
  • 反 hype 或反常识
Step 4:输出格式
📣 推文草稿 — [支柱名称]

版本A(锐利版):
---
[正文]

→ Null Axiom
#Hashtag1 #Hashtag2

[推荐发布时间:HH:MM]
---

版本B(故事版):
---
[正文]

→ Null Axiom
#Hashtag1 #Hashtag2

[推荐发布时间:HH:MM]
---

版本C(数据版):
---
[正文]

→ Null Axiom
#Hashtag1 #Hashtag2

[推荐发布时间:HH:MM]
---

五、输入方式

方式一:指定话题生成

用户说"帮我写一条关于 XXX 的推文",直接按对应支柱生成。

方式二:指定支柱生成

用户说"写一条 SEO 相关的推文",从 SEO+营销支柱生成。

方式三:批量生成

用户说"生成本周的推文",按内容日历格式一次性生成 5-7 条,标注每天的支柱和话题。

Show full SKILL.md (208 more words)Show less
方式四:回复 Twitter/X 帖子链接

当用户发送 Twitter/X 帖子链接(如 https://x.com/username/status/123 或 https://twitter.com/...)时:

⚠️ 强制要求:必须读完整篇帖子

在生成任何回复之前,必须做到:

  1. 用 browser 打开帖子链接
  2. 用 snapshot 读取完整帖子标题(H1)和正文内容
  3. 确认不是 URL slug 截断导致的错误标题(Reddit 链接经常只显示 URL 的一部分)
  4. 读取至少 2-3 条高票评论内容
  5. 禁止在未读完全部内容前生成回复

如果帖子标题看起来不完整(如 Reddit URL slug 截断),换一个方式访问:

  • 去掉 ? 后参数重新访问
  • 直接读取页面 <h1> 标签内容

Step 2 — 分析帖子核心观点 识别:

  • 帖子在说什么(核心观点)
  • 帖子的情感倾向(认同/反驳/补充)
  • Null Axiom 会怎么接话(根据五大支柱判断)

Step 3 — 生成回复草稿 根据帖子内容,从以下角度选择:

  • 反驳型:帖子的某个假设是错的,提出反例或不同视角
  • 补充型:帖子说得对,但漏了一个关键维度
  • 数据型:帖子有数字或结论,用数据或具体例子来接话
  • 锐评型:一句话刺破迷局,符合 Null Axiom 的锐利风格

回复格式:

[回复内容,1-3句,符合人设调性]

→ Null Axiom
#Hashtag(可选)

回复字数:20-180 字符(X/Twitter 回复通常比主推文短) 调性:比主推文更随意,更像是在跟人对话,不是演讲

回复示例:

原帖:「the best SEO is just writing what people actually search for」(某 SEO guru)

Null Axiom 回复:

here's the thing.
most people know this.
they do it anyway.

→ Null Axiom

方式五:回复 Reddit 帖子链接

当用户发送 Reddit 帖子链接(如 https://reddit.com/r/subreddit/comments/...)时:

Step 1 — 读取帖子内容 使用 browser 工具(profile=openclaw)打开帖子链接,获取:

  • 帖子标题、作者、正文内容
  • 帖子所属社区(r/subreddit)
  • 评分、评论数

Step 2 — 提取核心观点和主要内容

在回复草稿之前,必须先输出帖子摘要,格式:

📌 帖子摘要

社区:r/xxx
标题:xxx
作者:u/xxx | 评分:xxx | 评论:xxx

核心观点:
[1-3句话概括帖子在说什么]

主要内容:
[帖子正文的关键内容,3-5个要点]

情感倾向:[讨论/提问/分享/炫耀/抱怨]
Null Axiom 可切入角度:
[根据五大支柱判断 Null Axiom 会怎么回应这个帖子]

Step 3 — 生成回复草稿

Reddit 回复比 Twitter 更长(1-5句),更需要有实质内容。格式:

[回复内容,2-4句,符合 Null Axiom 调性]

—
[可选的锐利一句话或钩子]

→ Null Axiom

Reddit 回复调性:

  • 比 Twitter 更像在跟人认真讨论
  • 可以稍微长一点(50-280 字符)
  • 但仍然是短句,不要写成文章
  • 可以带 r/subreddit 的语境(Reddit 用户喜欢社区特定梗)

回复示例:

原帖(r/Entrepreneur):「I spent 6 months building my SaaS. Launched today. Zero customers. What did I do wrong?」

帖子摘要:

社区:r/Entrepreneur
标题:I spent 6 months building my SaaS. Zero customers on launch day.
作者:u/xxx | 评分:2.3k | 评论:347

核心观点:花了6个月做产品,上线当天0用户,问自己做错了什么。

主要内容:
• 6个月全职开发,没有早鸟用户
• 没有做任何推广,上线当天直接公开
• 感觉自己产品很好,但没人来
• 在问做错了什么

情感倾向:沮丧/求助
Null Axiom 可切入角度:从「产品够好就会有人」的假设反驳,6个月不做用户验证才是核心问题(独立开发哲学支柱)

Null Axiom 回复:

six months without one paying user isn't building in stealth.
it's building blind.

the product didn't fail to launch.
you launched without finding the problem to solve first.

→ Null Axiom

六、输出目标

飞书消息(必须)

将生成的推文草稿发送到飞书:

javascript
message(action=send, channel="feishu", target="user:<your_feishu_open_id>", message=完整推文草稿内容)

飞书消息格式:

📣 推文草稿 — [支柱名称] — YYYY-MM-DD

[3个版本]

⏰ 推荐发布时间:
• 锐利版:10:00(工作时间,高认同感)
• 故事版:14:00(下午,深度阅读)
• 数据版:16:00(傍晚,转发黄金期)

💡 使用方式:直接复制粘贴到 X / Twitter 即可,配图建议:[描述]
记录到 memory

将本次生成的推文记录到: memory/tweets/[YYYY-MM-DD]-tweets.md

格式:

markdown
# 推文草稿 — YYYY-MM-DD

## 支柱:[支柱名]
## 话题:[具体话题]

### 版本A(锐利版)
[正文]
→ Null Axiom
#Hashtag1 #Hashtag2
推荐发布时间:HH:MM

### 版本B(故事版)
...

### 版本C(数据版)
...

## 生成结果
- 用户是否确认:[ ]
- 实际发布版本:[A/B/C]
- 实际发布时间:[HH:MM]
- 发布后效果:[数据备注]

七、定时任务配置(可选)

如需每天自动生成推文草稿,在 OpenClaw 中创建 cron job:

CLI 命令:

bash
openclaw cron add \
  --name "Null Axiom 推文草稿生成" \
  --schedule "30 9 * * *" \
  --tz "Asia/Shanghai" \
  --payload-kind agentTurn \
  --payload-message "使用 null-axiom-twitter skill,按内容支柱比例随机选择一个话题,生成3个版本的推文草稿(锐利版/故事版/数据版),输出到飞书消息。然后记录到 memory/tweets/YYYY-MM-DD-tweets.md。" \
  --payload-timeout 300 \
  --delivery-mode announce \
  --delivery-channel feishu

Cron JSON:

json
{
  "name": "Null Axiom 推文草稿生成",
  "schedule": { "kind": "cron", "expr": "30 9 * * *", "tz": "Asia/Shanghai" },
  "sessionTarget": "isolated",
  "payload": {
    "kind": "agentTurn",
    "message": "使用 null-axiom-twitter skill,按内容支柱比例(独立开发哲学30%/机会发现25%/SEO+营销25%/工具技能15%/产品5%)随机选择一个话题,生成3个版本的推文草稿(锐利版/故事版/数据版),每条不超过280字符。输出到飞书消息,并记录到 memory/tweets/YYYY-MM-DD-tweets.md。",
    "timeoutSeconds": 300
  },
  "delivery": {
    "mode": "announce",
    "channel": "feishu",
    "to": "user:<your_feishu_open_id>",
    "accountId": "default"
  }
}

💡 注意:定时任务只生成草稿推送飞书审核,不自动发布。需要人工确认后才发 X。


八、内容日历示例

日期支柱话题版本
周一独立开发哲学删除代码不减功能锐利版
周二SEO+营销你需要一个更好的敌人故事版
周三机会发现Glitch Hunt 数据发现数据版
周四工具/技能3年不换的工具故事版
周五独立开发哲学客户关系是护城河锐利版
周六休息——

九、禁止清单

  • ❌ 禁止在推文里主动贴产品链接
  • ❌ 禁止写"来试试 [产品名]"之类的话
  • ❌ 禁止使用感叹号结尾(句号可以)
  • ❌ 禁止连续两条推文用同一个 hasthag
  • ❌ 禁止超过 280 字符(不含 signature)
  • ❌ 禁止出现禁止词(见上方列表)
  • ❌ 禁止主动要关注、要转发、要点赞

© kennyzir, 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 null-axiom-twitter of kennyzir/7deer_skills.

Open the folder on GitHubat commit 32a6881

Compare with similar skills

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Questions about Null Axiom Twitter

What does Null Axiom Twitter do?

Null Axiom(@NullAxiomX)推文自动生成工具。根据人设调性生成符合 独立开发者/数据侦探风格的 Twitter 推文和 thread。. Null Axiom Twitter is an agent skill from kennyzir/7deer_skills.

When should I use Null Axiom Twitter?

Null Axiom Twitter fits situations like: tasks that involve Social media posts.

How do I install Null Axiom Twitter in Claude Code?

Run `npx skills add kennyzir/7deer_skills --skill null-axiom-twitter -a claude-code`. Or copy the skill folder (null-axiom-twitter in kennyzir/7deer_skills) into .claude/skills/null-axiom-twitter in your project. Claude Code loads it when a task matches its description.

How do I install Null Axiom Twitter in Codex?

Run `npx skills add kennyzir/7deer_skills --skill null-axiom-twitter -a codex`. Or copy the skill folder (null-axiom-twitter in kennyzir/7deer_skills) into .agents/skills/null-axiom-twitter in your project. Codex loads it when a task matches its description.

Can I use Null Axiom Twitter 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 kennyzir/7deer_skills --skill null-axiom-twitter -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/null-axiom-twitter, .gemini/skills/null-axiom-twitter, .github/skills/null-axiom-twitter and .opencode/skills/null-axiom-twitter in your project.

What does Null Axiom Twitter need to run?

SKILL.md names no scripts, command-line tools or credentials: Null Axiom Twitter is instructions for the agent only.

Does Null Axiom Twitter access the network?

SKILL.md names 3 domains. In commands or code: x.com, twitter.com and reddit.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Null Axiom Twitter 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 Null Axiom Twitter use?

Null Axiom Twitter 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 Null Axiom Twitter use?

About 2.1k tokens (SKILL.md is roughly 8.2k 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 Null Axiom Twitter?

Skills that share tags, products or a category with Null Axiom Twitter: Social (coreyhaines31/marketingskills, 54k stars), Social Content (freekmurze/dotfiles, 1k stars), Typefully (freekmurze/dotfiles, 1k stars) and Changelog Social Recap (FlorianBruniaux/claude-code-ultimate-guide, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Null Axiom Twitter?

kennyzir (a GitHub user) maintains it in kennyzir/7deer_skills, which has 322 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on September 29, 2026.

Source: kennyzir/7deer_skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.