Content Operations Expert for Openclaw

A high-level AI strategist that transforms messy business goals into platform-ready content across all major social networks.

anyongjun
v1.0.1
Mar 17, 2026
0
841
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install operations-expert

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install operations-expert using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Content Operations Expert?

The Content Operations Expert is a sophisticated skill designed for Openclaw Skills that acts as a senior content operator rather than a simple copywriter. It bridges the gap between high-level business goals and technical execution, ensuring that every piece of content produced is optimized for the specific nuances of platforms like X, LinkedIn, Instagram, TikTok, and Xiaohongshu.

By prioritizing business intent and platform-native consumption styles, this skill helps users maintain a consistent brand voice while adapting the hook, structure, and CTA for maximum engagement. Whether you are a solo creator or a marketing team, this skill provides the strategic layer needed to turn incomplete inputs into professional, publish-ready deliverables.

Content Operations Expert Use Cases

  • Converting fragmented business notes into structured, actionable content briefs.
  • Generating platform-specific posts for X, LinkedIn, Instagram, TikTok, and Xiaohongshu from a single source of truth.
  • Creating comprehensive editorial calendars and topic maps to organize long-term strategy.
  • Reviewing performance metrics to provide actionable content optimization steps and diagnostic reports.
  • Rewriting core messages to fit different platform cultures while maintaining the strategic core of the offer.

How Content Operations Expert Works

  1. The skill normalizes the brief by extracting brand positioning, audience segments, and specific goals from the user's input.
  2. It classifies the request into a specific task bucket, such as topic discovery, content planning, or cross-platform adaptation.
  3. It loads relevant references, including platform-native playbooks and strategic funnel logic, to ensure high-quality output.
  4. It generates a two-layer response that includes a strategic explanation of the logic followed by a concrete, publish-ready deliverable.
  5. It performs a final self-check against a review rubric to verify audience fit, hook strength, and factual grounding.

Content Operations Expert Setup

To get started with this skill within Openclaw Skills, ensure your environment has access to the required scripts and reference directories. You can prepare a structured brief from raw notes using the provided normalization tool:

python scripts/prepare_content_brief.py --input-file notes.txt --pretty

Ensure that your /references and /templates folders are populated with the standard playbooks and Markdown templates provided in the skill repository.

Content Operations Expert Data Schema & Taxonomy

The skill organizes its operations through a structured set of Markdown references and JSON configurations to maintain consistency across Openclaw Skills workflows:

File Type Purpose
Platform Playbooks Native writing and packaging guidance for various social media networks.
Content Strategy Messaging logic, funnel mapping, and offer-to-content translation rules.
Review Rubric Checklists for identifying failure patterns and ensuring quality.
Templates Markdown structures for calendars, post outputs, and topic maps.
Config Profiles Normalized JSON profiles for style, hook patterns, and CTA types.

Content Operations Expert Advanced Features

  • Multi-platform native adaptation that preserves strategic intent while changing surface form for different audiences.
  • Automated brief normalization to handle messy or incomplete inputs from users.
  • Performance diagnosis tools that identify why content underperformed and suggest concrete revisions.
  • Bilingual operations support, allowing for strategy in one language and final deliverables in another.
  • Integrated self-correction mechanisms based on specific platform-native quality rubrics.

SKILL.md


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