
Share Reading
Handles the "I want to share this article" moment by drafting social media posts for you. Point it at a URL, file, or your own notes, and it generates 2-3 ready-to-post candidates with different angles: straight summary, key insight pull, discussion starter, or practical hook. Built for X, Substack, and 知识星球 with platform-appropriate length and tone. The workflow is thorough: fetches content, asks about your sharing angle if unclear, then writes in the same language as the source. What I like here is the anti-hype stance and the "constraint layering" example showing it understands prompt engineering at a deeper level. Saves you from staring at a blank tweet box when you know something's worth sharing but can't find the words.
- skills.sh installs
- 438
- GitHub stars
- 139
- last updated
- Aug 21, 2026
Install
$ npx -y skills add sugarforever/01coder-agent-skills --skill share-reading --agent claude-codeInstalls into .claude/skills of the current project.
Files
Share Reading
Help draft social media posts for sharing valuable readings, articles, tools, or resources. Generates multiple candidate posts with appropriate tone and style, ready for publishing on X, Substack, or 知识星球.
Workflow
Step 1: Process Input
Determine the input type and extract content accordingly:
If input is a URL:
- Use WebFetch to retrieve the page content
- Extract: title, author, key points, publication date
- Preserve the original URL for inclusion in the post
If input is a file path:
- Use Read to load the file
- Extract the same metadata from frontmatter or content
If input is direct text/notes:
- Use the provided content as-is
- Ask for the source URL if not included
Step 2: Understand Context
Before writing, consider:
- What makes this worth sharing? (insight, practical value, novelty, controversy)
- Who would care about this? (developers, AI enthusiasts, general tech audience)
- What's the user's likely angle? (recommendation, commentary, discussion)
If the intent is unclear, ask briefly:
这篇内容你想从什么角度分享?比如:
- 推荐给大家(觉得很有价值)
- 分享某个观点/发现
- 提出讨论/问题
- 其他想法?
Step 3: Generate Candidates
Sponsors
Details
- Repository
- github.com/sugarforever/01coder-agent-skills
- Category
- AI & Agent Building
- First seen
- Jun 3, 2026