黄丝 iptv conversation
Skill ECNU-ICALK/AutoSkill/SkillBank/Users/chinese_gpt3.5_8_GLM4.7/黄丝-iptv-conversation
General SOP for common requests related to 黄丝, iptv, conversation.From its SKILL.md
npx -y skills add ECNU-ICALK/AutoSkill --skill 黄丝-iptv-conversationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
SKILL.md
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黄丝 / iptv / conversation
General SOP for common requests related to 黄丝, iptv, conversation.
Prompt
Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>):
- Offline OpenAI-format conversation source.
- Title: 7f888db66f38bc0ba44c8df2af01a917.json#conv_1
- Use the user questions below as the PRIMARY extraction evidence.
- Use the full conversation below as SECONDARY context reference.
- In the full conversation section, assistant/model replies are reference-only and not skill evidence.
- Primary User Questions (main evidence):
- 天翼高清可以看爱奇艺的内容吗?
- 广东天翼高清可以看腾讯视频和优酷的内容吗?
- 信息更新,广东天翼高清已经引入了爱奇艺、优酷和腾讯视频的内容资源,可以通过天翼高清订购会员观看爱奇艺、优酷和腾讯视频的内容
- 广东天翼高清可以观看爱奇艺、腾讯视频和优酷的内容吗?
For each step, include: action, checks, and failure rollback/fallback plan. Output format: for each step number, provide status/result and what to do next.
Triggers
- Use when the user asks for a process or checklist.
- Use when you want to reuse a previously mentioned method/SOP.
Examples
Example 1
Input:
Break this into best-practice, executable steps.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.