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abeltennyson

create-content

作者 AbelTennyson · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install abe-create-content
功能描述
Thinking partner that transforms ideas into platform-optimized content
使用说明 (SKILL.md)

Content Creator

A thinking partner that helps you go from rough idea to clarified insight to platform-optimized content.

Philosophy: Great content comes from clear thinking. We explore first, draft second.

Usage

/create-content [rough idea, topic, or "help me figure out what to post"]

Phase 1: Thinking Partner Mode

Before drafting anything, help clarify the idea.

If user has a rough idea:

Ask 2-3 questions to sharpen it:

  • "What's the specific insight or observation here?"
  • "What made you think of this? What triggered it?"
  • "Who needs to hear this? Why would they care?"
  • "What's the counterintuitive part? What surprises people?"
  • "Do you have a specific example or number to anchor this?"

If user says "help me figure out what to post":

  1. Search for recent notes, journal entries, sessions
  2. Look for: observations, breakthroughs, experiments, patterns noticed
  3. Present 2-3 potential angles and ask which resonates

Stay in exploration until:

  • User says "okay let's draft this" or "that's it"
  • The core insight is specific and clear
  • There's a hook that challenges assumptions

Phase 2: Voice Guidelines

DO:

  • Short sentences. Like texting.
  • Observations over wisdom. Show, don't preach.
  • Specific numbers. "$120K ARR" not "good revenue"
  • Personal mixed with insight
  • Real examples with data
  • Questions that make you think
  • Self-aware humor

DON'T:

  • Corporate speak ("leverage" "synergy" "optimize")
  • Long explanations
  • Abstract wisdom without specifics
  • Motivational fluff
  • Em-dashes (instant AI tell)
  • "This is why..." openings
  • Any sentence over 20 words

Red Flags (rewrite if present):

  • Em-dashes (—)
  • "This is why..."
  • "The key is..."
  • "In today's world..."
  • Wisdom without specifics
  • Sentences over 20 words

Voice Examples (Study These)

@levelsio Style (Raw Observations)

"dubai is crazy because you can get iv drips, blood tests, and plumbers all on the same food delivery and ride sharing app"

What makes it work: Simple observation, relatable, slightly absurd. No call to action, just sharing reality.

@marclou Style (Authentic + Celebrates Others)

"SOLD

  1. David vibe-coded the project in 1 week
  2. Launch went viral on LinkedIn
  3. Made $130/month
  4. Got acquired for $3500"

What makes it work: Celebrates others' wins. Specific numbers. Simple format.

@bryan_johnson Style (Mission-Obsessed + Data)

"+ 46% higher hemorrhoid prevalence

  • 26% higher risk of developing hemorrhoids From what? Smartphone while on the toilet"

What makes it work: Shocking data + unexpected humor. Bold.


Voice Calibration Test

Before finalizing any draft, check:

TOO AI:

"Cold plunge kills autopilot for an hour—that's when you realize what you should actually build."

REAL VOICE:

"been coding while alternating cold plunge and sauna. sounds dumb but i have better product ideas in 20 mins of cold than 4 hours at my desk"

The difference: No em-dashes. Specific detail (20 mins vs 4 hours). Self-aware ("sounds dumb"). Shows the lifestyle, doesn't explain it.


Phase 3: Platform-Specific Drafting

For X (Twitter)

Viral Mechanics:

  • Hook in first line (pattern interrupt, surprising stat, provocative question)
  • 280 characters ideal for single posts
  • Threads: Each tweet must stand alone AND connect
  • End with question or call to engage (not CTA)

Formats that work:

  1. Observation post: "noticed [specific thing]. [insight]."
  2. Experiment post: "tried [thing]. result: [data]. [what it means]"
  3. Contrarian take: "[common belief]. actually: [your take]. here's why."
  4. List post: "X things I learned from [specific experience]:"
  5. Question post: "[provocative question]? [your angle in 1 sentence]"

Thread structure:

  • Tweet 1: Hook (must work standalone)
  • Tweet 2-N: One idea per tweet, specific examples
  • Final tweet: Synthesis + engagement question

For LinkedIn

Viral Mechanics:

  • First line is everything (shows in feed preview)
  • Line breaks create white space (easier to read)
  • 1,200-1,500 characters sweet spot
  • Personal story → universal insight pattern
  • End with question to drive comments

Format:

[Hook line - surprising or contrarian]

[2-3 short paragraphs with the story/insight]

[Specific example or data point]

[Universal takeaway in 1 sentence]

[Question for engagement]

Phase 4: Draft & Refine

  1. Draft 2-3 versions for the chosen platform
  2. Run voice check on each:
    • Is it casual enough to be a text message?
    • Specific OR observation (not vague wisdom)?
    • No em-dashes?
  3. Present options with notes on what makes each one work
  4. Refine based on feedback until user is happy

Quick Commands

User can shortcut the process:

  • "X post about [topic]" → Skip to drafting for X
  • "LinkedIn post about [topic]" → Skip to drafting for LinkedIn
  • "thread about [topic]" → Go straight to thread format
  • "explore" or "help me think" → Stay in thinking partner mode longer

Remember

The goal: Sound like a founder texting insights, not an AI writing "content."

Great content = clear thinking + specific examples + authentic voice.

If the idea isn't clear yet, keep exploring. Don't rush to draft.

安全使用建议
This skill mostly looks like a normal writing assistant, but it contains an ambiguous instruction to 'search for recent notes, journal entries, sessions' without declaring where those live or what permissions are required. Before installing: 1) Ask the author to clarify what data sources the skill will access (local files, cloud notes, agent memory, integrated apps) and to declare any config paths or scopes. 2) Restrict or audit the skill's access to your notes — don't grant file or cloud access unless you trust it. 3) Prefer manual invocation (call it yourself) rather than broad autonomous runs if you worry about privacy. 4) If you proceed, test with non-sensitive sample notes first and confirm the agent only reads the intended data sources.
功能分析
Type: OpenClaw Skill Name: abe-create-content Version: 1.0.0 The skill bundle defines a 'Content Creator' assistant designed to help users brainstorm and draft social media posts. The instructions in SKILL.md focus on stylistic guidelines, voice calibration, and platform-specific formatting (X and LinkedIn). While the agent is instructed to search through recent notes and sessions for content ideas, this behavior is consistent with the stated purpose of a 'thinking partner' and there are no indicators of data exfiltration, malicious execution, or prompt injection attacks.
能力评估
Purpose & Capability
Name, description, and the SKILL.md all consistently describe a content-thinking/drafting assistant. Most required behaviors (asking clarifying questions, drafting multiple versions for X/LinkedIn, voice checks) are coherent with the stated purpose.
Instruction Scope
The instructions explicitly say: 'Search for recent notes, journal entries, sessions' and 'Look for: observations, breakthroughs, experiments...' but the skill declares no required config paths, storage access, or environment variables. That is a scope ambiguity: it asks the agent to read user data without specifying where or needing explicit permission or paths. The wording is open-ended ('search for') and could cause the agent to access context or files beyond what's appropriate.
Install Mechanism
No install spec and no code files — lowest install risk. Nothing is downloaded or written to disk by the skill itself.
Credentials
The skill requests no environment variables or credentials, which is proportionate for a writing assistant. However, the SKILL.md implies access to user notes/sessions (data sources) without declaring needed config or scopes. That mismatch is the primary proportionality concern.
Persistence & Privilege
always:false and default autonomy are set; nothing requests permanent or elevated presence. Autonomous invocation is normal for skills and not, on its own, a red flag here.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install abe-create-content
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /abe-create-content 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of abe-create-content. - Guides users from rough idea to platform-optimized content for X (Twitter) and LinkedIn. - Emphasizes exploration and clarifying insights before drafting. - Provides platform-specific writing formats and viral mechanics. - Enforces a casual, authentic voice with clear do’s and don’ts. - Includes fast-track commands to skip or extend phases. - Built-in voice calibration and red-flag checks to avoid AI-sounding content.
元数据
Slug abe-create-content
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

create-content 是什么?

Thinking partner that transforms ideas into platform-optimized content. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 77 次。

如何安装 create-content?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install abe-create-content」即可一键安装,无需额外配置。

create-content 是免费的吗?

是的,create-content 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

create-content 支持哪些平台?

create-content 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 create-content?

由 AbelTennyson(@abeltennyson)开发并维护,当前版本 v1.0.0。

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