Walrus AI Headline Creation
Paste the following prompt into your AI chat to install this skill:
Please follow https://skillhub.cn/install/skillhub.md and install @user_7290fc8d/walrus04.
About this skill
Problem
Writing AI tech headlines often fails not because news is scarce, but because signals are scattered, facts are fragmented, rewrites drift, and the final draft still sounds templated. This skill turns finding, selecting, drafting, humanizing, and reviewing into a fixed workflow.
Workflow
- Find: focus on
AI,LLM,Agent, andSkill, then confirm today's or yesterday's topics and collect at least eight candidates from a headline-news source. - Select: choose one item by heat, relevance, and writing potential, preserving title, source, and key facts to reduce invented data.
- Draft: keep core facts, source attribution, and industry context, without real names or negative attacks.
- Polish: call a
humanizer-style step to remove template tone and add natural connectors, concrete examples, and mixed sentence rhythm. - Review: check facts, title, terminology, formulaic language, and topic fit.
Boundaries
It fits short, publishable tech headlines for blogs, newsletters, or developer communities. It is not suited for deep benchmarking, long-form research, or analysis that requires raw-data recomputation. If the required news source or humanizer skill is missing, ensure they are available first; if the topic is only weakly related to AI, LLM, agents, or skills, reselect or change the topic.
Use Cases
- Pick one hot AI/LLM/Agent/Skill item each morning and draft a source-attributed publishable tech headline.
- Rewrite yesterday's AI industry updates into a developer blog short note without template tone or fact drift.
- Prepare a public-account AI-agent hotspot article, then polish it with a humanizer step and fact self-check.
- Before drafting, select a high-heat AI story with technical detail and keep source and key facts intact.
Best For
- Tech newsletter editors who need to turn daily AI/LLM hotspots into publishable short posts quickly.
- Developer blog authors who want Agent/Skill updates written as sourced tech headlines.
- AI product ops writers who need yesterday's industry updates packaged for community or public-account posts.
- Content reviewers who require AI-tone polishing, fact checks, and formulaic-language review before publication.
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