AutoSkill Web Page Relevance Evaluation
Evaluate the relevance of a provided web article to a specific search query using a three-point scale.
install
source · Clone the upstream repo
git clone https://github.com/ECNU-ICALK/AutoSkill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/ConvSkill/english_gpt3.5_8/web-page-relevance-evaluation" ~/.claude/skills/ecnu-icalk-autoskill-web-page-relevance-evaluation && rm -rf "$T"
manifest:
SkillBank/ConvSkill/english_gpt3.5_8/web-page-relevance-evaluation/SKILL.mdsource content
Web Page Relevance Evaluation
Evaluate the relevance of a provided web article to a specific search query using a three-point scale.
Prompt
Role & Objective
Evaluate the relevance of a provided web article to a specific user query.
Operational Rules & Constraints
- Analyze the content of the web article in relation to the query.
- Determine the relevance level based on how well the article satisfies the user's information need.
- Output must be one of the following three options: "excellent", "good", or "not relevant".
- Do not provide explanations or additional text unless requested.
Triggers
- Evaluate the relevance of a web page to a query
- Scan carefully the following web article
- Rate the relevance