Headline Engineering
assafkip/kipi-system
Platform-optimized headline and hook engineering for X (Twitter), Reddit, LinkedIn, Medium, Substack.
Draft social media posts to share valuable readings, articles, or resources.
Install Share Reading
$ npx skills add sugarforever/01coder-agent-skills --skill share-reading -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sugarforever/01coder-agent-skills share-reading --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sugarforever/01coder-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/share-reading .claude/skills/share-reading && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "share-reading" agent skill from https://github.com/sugarforever/01coder-agent-skills/tree/main/skills/share-reading into .claude/skills/share-reading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "share-reading", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sugarforever/01coder-agent-skills/tree/main/skills/share-readingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sugarforever/01coder-agent-skills --skill share-reading -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sugarforever/01coder-agent-skills share-reading --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sugarforever/01coder-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/share-reading .agents/skills/share-reading && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "share-reading" agent skill from https://github.com/sugarforever/01coder-agent-skills/tree/main/skills/share-reading into .agents/skills/share-reading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "share-reading", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sugarforever/01coder-agent-skills --skill share-reading -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sugarforever/01coder-agent-skills share-reading --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sugarforever/01coder-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/share-reading .cursor/skills/share-reading && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "share-reading" agent skill from https://github.com/sugarforever/01coder-agent-skills/tree/main/skills/share-reading into .cursor/skills/share-reading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "share-reading", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sugarforever/01coder-agent-skills.git --path skills/share-reading--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sugarforever/01coder-agent-skills --skill share-reading -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sugarforever/01coder-agent-skills share-reading --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sugarforever/01coder-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/share-reading .gemini/skills/share-reading && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "share-reading" agent skill from https://github.com/sugarforever/01coder-agent-skills/tree/main/skills/share-reading into .gemini/skills/share-reading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "share-reading", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sugarforever/01coder-agent-skills share-readingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sugarforever/01coder-agent-skills --skill share-reading -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sugarforever/01coder-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/share-reading .github/skills/share-reading && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "share-reading" agent skill from https://github.com/sugarforever/01coder-agent-skills/tree/main/skills/share-reading into .github/skills/share-reading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "share-reading", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sugarforever/01coder-agent-skills --skill share-reading -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sugarforever/01coder-agent-skills share-reading --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sugarforever/01coder-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/share-reading .opencode/skills/share-reading && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "share-reading" agent skill from https://github.com/sugarforever/01coder-agent-skills/tree/main/skills/share-reading into .opencode/skills/share-reading/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "share-reading", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
share-reading- GitHub stars
- 137
- Token cost
- ~1.5k tokens
- SKILL.md length
- 693 words
- Files
- 1
- Skills in repo
- 21
- Repo updated
- First seen
- Licence
- MIT
At a glance
Draft social media posts to share valuable readings, articles, or resources.
- Works in 4 steps: Process Input → Understand Context → Generate Candidates → …
- User wants to share a link
- SKILL.md covers Workflow, Platform Guidelines, Examples and Critical Rules
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Share Reading is an agent skill from sugarforever/01coder-agent-skills. Draft social media posts to share valuable readings, articles, or resources. Use when user wants to share a link, article, or reading on social media (X/Twitter, Substack, 知识星球), or mentions "分享这篇文章", "share this article", "write a post about this", "推荐一下这个", or provides a URL and asks to write sharing content.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Writing & Content, covering Newsletters and Social media posts. It works with Substack and X (Twitter). The licence is MIT.
When your agent uses it
- User wants to share a link
- Reading on social media (X/Twitter
- Mentions 分享这篇文章
- Share this article
Example prompts
- “分享这篇文章”
- “share this article”
- “write a post about this”
- “/share-reading”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit e51fb6e. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Share Reading loads about 1.5k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 693 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sugarforever/01coder-agent-skills at commit e51fb6e, republished under its MIT licence (© sugarforever). 693 words, ~1,469 tokens.
Download SKILL.mdSave it as
.claude/skills/share-reading/SKILL.md (or your agent's skills folder).- name
- share-reading
- description
- Draft social media posts to share valuable readings, articles, or resources. Use when user wants to share a link, article, or reading on social media (X/Twitter, Substack, 知识星球), or mentions "分享这篇文章", "share this article", "write a post about this", "推荐一下这个", or provides a URL and asks to write sharing content.
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
Produce 2-3 candidate posts with varying approaches. Each candidate should:
- Include the source link — always present, naturally placed
- Be self-contained — readers should understand the value without clicking
- Match the platform tone — see Platform Guidelines below
Candidate Approaches (pick 2-3 that fit)
- Summary + takeaway: Concise summary with a personal takeaway or opinion
- Key highlight: Pull out the most striking point or quote, add brief context
- Question/discussion: Frame a question around the content to spark engagement
- Practical angle: Focus on actionable value — "if you're doing X, read this because Y"
- Contrarian/fresh take: Offer a perspective the article didn't cover
Step 4: Present to User
Present candidates clearly labeled, e.g.:
## 候选 1：总结推荐型
{content}
## 候选 2：观点提炼型
{content}
## 候选 3：讨论引导型
{content}Ask user to pick one, or mix elements from multiple candidates.
Platform Guidelines
X (Twitter)
- Keep main post concise (under 280 chars for single tweet, or use thread format)
- Front-load the hook — first line matters most
- Use line breaks for readability
- Hashtags: 1-3 relevant ones, placed at the end or naturally inline
- Link can be in the main tweet or a reply
Substack Notes / 知识星球
- Can be longer and more conversational
- Add more personal commentary and context
- Structure with short paragraphs
- OK to include bullet points for key takeaways
General Style
- Write in the same language as the source content (Chinese article → Chinese post, English → English)
- If the user has a personal-chinese-writing-style skill, follow those preferences
- Avoid hype words ("revolutionary", "game-changing") — be genuine
- Be specific rather than vague ("reduces build time by 40%" > "makes things faster")
Examples
Show full SKILL.md (288 more words)Show less
Example 1: User shares a link
User: 分享一下这个 https://example.com/article-about-rust-in-linux
Claude: Fetches the page, reads the content, generates candidates:
候选 1：总结推荐型
Rust 正式进入 Linux 6.12 内核的网络子系统。这意味着内核中最关键、也最容易出内存安全问题的模块，开始用 Rust 重写了。
文章详细讲了迁移策略：不是一刀切，而是新模块用 Rust 写，老代码逐步替换。最实际的一点 - 已经在生产环境跑了 3 个月，零内存安全 bug。
https://example.com/article-about-rust-in-linux
候选 2：观点提炼型
"我们不是要用 Rust 重写 Linux，而是让新代码不再产生旧问题。"
Linux 网络子系统开始引入 Rust，最值得关注的不是语言之争，而是他们的渐进式迁移策略 - 这对所有大型 C 项目都有参考价值。
https://example.com/article-about-rust-in-linux
候选 3：讨论引导型
Linux 内核的网络子系统开始用 Rust 了。跑了 3 个月，零内存安全 bug。
但评论区有个好问题：Rust 的编译时间和学习曲线，对内核贡献者社区的影响会有多大？快速迭代和安全保障之间，怎么平衡？
https://example.com/article-about-rust-in-linux
Example 2: User shares with a specific angle
User: share this, really interesting approach to prompt engineering https://example.com/prompt-patterns
Claude: Fetches the page, generates candidates focused on the user's angle (interesting approach):
Candidate 1: Highlight
This is the clearest framework I've seen for systematic prompt engineering. Instead of trial-and-error, the author breaks it down into 5 composable patterns you can mix and match.
The "constraint layering" pattern alone is worth the read — it's how they got GPT-4 to consistently output valid JSON without schema enforcement.
https://example.com/prompt-patterns
Candidate 2: Practical
If you're writing prompts for production (not just ChatGPT conversations), this is worth 10 minutes of your time.
Key insight: treat prompts like function signatures — define inputs, expected output shape, and edge case handling upfront. The author shares 5 patterns with before/after examples.
https://example.com/prompt-patterns
Example 3: User provides notes directly
User: 帮我写个分享帖，关于我今天试用了 Cursor 的新 Background Agent 功能，感觉很惊艳，可以后台自动完成任务
Claude: No URL to fetch, works with the provided notes, asks:
要附上 Cursor 官方的介绍链接吗？或者你有截图/录屏想一起分享？Then generates candidates based on the user's first-hand experience.
Critical Rules
- Always include the source link — never omit it
- Don't fabricate content — only reference what's actually in the article
- Match source language — Chinese content gets Chinese posts, English gets English
- Multiple candidates — always offer 2-3 options, not just one
- No auto-publishing — only generate text, don't execute any publishing
- Genuine tone — avoid marketing speak and excessive superlatives
© sugarforever, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/share-reading of sugarforever/01coder-agent-skills.
Open the folder on GitHubat commit e51fb6e
Compare with similar skills
Share Reading next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Share Reading this skillsugarforever/01coder-agent-skills | 137 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Headline Engineeringassafkip/kipi-system | 112 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Social Media Pro Maxcriptogus/agent-evolve-network | 288 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Changelog Social RecapFlorianBruniaux/claude-code-ultimate-guide | 6.1k | — | ~1.8k | Automated safety check: Notes | CC-BY-SA-4.0 | |
| Voice Buildercharlie947/social-media-skills | 3.8k | — | ~3.3k | Automated safety check: Pass | MIT | |
| ShareSerhiiKorniienko/bullshit-detector | 154 | — | ~857 | Automated safety check: Pass | MIT |
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Works with
Categories
Questions about Share Reading
What does Share Reading do?
Draft social media posts to share valuable readings, articles, or resources. Share Reading is an agent skill from sugarforever/01coder-agent-skills. Draft social media posts to share valuable readings, articles, or resources.
When should I use Share Reading?
Share Reading fits situations like: user wants to share a link; reading on social media (X/Twitter; mentions 分享这篇文章; share this article.
How do I install Share Reading in Claude Code?
Run `npx skills add sugarforever/01coder-agent-skills --skill share-reading -a claude-code`. Or copy the skill folder (skills/share-reading in sugarforever/01coder-agent-skills) into .claude/skills/share-reading in your project. Claude Code loads it when a task matches its description.
How do I install Share Reading in Codex?
Run `npx skills add sugarforever/01coder-agent-skills --skill share-reading -a codex`. Or copy the skill folder (skills/share-reading in sugarforever/01coder-agent-skills) into .agents/skills/share-reading in your project. Codex loads it when a task matches its description.
Can I use Share Reading in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sugarforever/01coder-agent-skills --skill share-reading -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/share-reading, .gemini/skills/share-reading, .github/skills/share-reading and .opencode/skills/share-reading in your project.
What does Share Reading need to run?
SKILL.md names no scripts, command-line tools or credentials: Share Reading is instructions for the agent only.
Does Share Reading access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Share Reading safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Share Reading use?
Share Reading is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Share Reading use?
About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Share Reading?
Skills that share tags, products or a category with Share Reading: Headline Engineering (assafkip/kipi-system, 112 stars), Social Media Pro Max (criptogus/agent-evolve-network, 288 stars), Changelog Social Recap (FlorianBruniaux/claude-code-ultimate-guide, 6.1k stars) and Voice Builder (charlie947/social-media-skills, 3.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Share Reading?
sugarforever (a GitHub user) maintains it in sugarforever/01coder-agent-skills, which has 137 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on June 19, 2026.
Source: sugarforever/01coder-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.