newsletter
Use when the user wants to write a product update email, feature announcement newsletter, or digest email for users or subscribers
供给资产档案
研究与知识工作
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
场景
研究 Agent
I need my agent to research a topic, compare sources, and produce a concise report.
适配 Agent
Claude Code + CLI + Codex
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add AlemTuzlak/skills --skill newsletter
维护状态
新鲜
距上次推送 3 天
风险
需审查
许可证不清晰
GitHub 质量
39
57/100 质量 · 65/100 信任
覆盖标签
审查说明
许可证不清晰 · Dependency or permission surface needs review
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
有潜力有用的候选项,但采用前应与替代方案比较。
信任
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
审计
需审查对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
安装前需人工审查
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
39 个 GitHub Stars
仓库活跃度
39 个 Star,0 个 Fork
维护状态
距上次推送 3 天
许可证
未知
安装
npx skills add AlemTuzlak/skills --skill newsletter
安装安全性
标准软件包或运行时安装路径
权限范围
shell or command execution, filesystem or document access
Agent 结果
暂未有 Agent 结果数据
文档
README/SKILL.md 上下文充分
风险摘要
生产前审查
- Repository license is unknown; SKILL.md and README do not specify a license.
- Financial research output is not financial advice; require human review before any live investment decision.
- 许可证不清晰
- Low GitHub adoption signal
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 许可证不清晰
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- Content automation 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- Summarize source material
适用 Agent
安装决策
- 命令
- npx skills add AlemTuzlak/skills --skill newsletter
- 策略
- 阻止
- 人工审查
- 是
信任与风险
- 信任
- 57/100
- 审计
- 70/100
- 风险级别
- 需审查
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- production agents without a repository review
- Low GitHub adoption signal
- Repository license is unknown; SKILL.md and README do not specify a license.
- 高风险权限提示:Shell or command execution, Secrets or environment access
Agent 安全 v2
26/100 · 避免自动安装
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
高
Shell 或命令执行
Skill 元数据引用了终端、CLI、Shell、子进程或命令执行工作流。
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
高
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- 高风险权限提示:Shell or command execution, Secrets or environment access
- 许可证不清晰
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install alemtuzlak-newsletterAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20newsletter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20newsletter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/alemtuzlak-newsletter/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use newsletter in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20newsletter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/alemtuzlak-newsletter/install
Install command: npx skills add AlemTuzlak/skills --skill newsletter
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/alemtuzlak-newsletter/install
LLM 文本格式
/api/skills/alemtuzlak-newsletter/install?format=text
寻找替代方案
/api/skills/search?q=newsletter&limit=3
Agent 提示词
Use newsletter for this task. Review https://www.openagentskill.com/api/skills/alemtuzlak-newsletter/install, then install with: npx skills add AlemTuzlak/skills --skill newsletterRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Agent 决策面板
Fallback candidate for Content automation
先用此 Skill 做原型验证,并保留备选方案。
栈中角色
备选候选
主要匹配
Content automation
信任标签
先做原型验证
安装路径
命令已就绪
适用场景
- Content automation 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
证据
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 57/100 质量档案
- 5 个 OpenAgentSkill 交互事件
先审查
- Low GitHub adoption signal
- Repository license is unknown; SKILL.md and README do not specify a license.
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次Content automation任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub 采用度
检查39 个 GitHub Stars
Star/Fork 活跃度
检查39 个 Star,0 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过距上次推送 3 天
许可证清晰度
检查未知
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- Repository license is unknown; SKILL.md and README do not specify a license.
- Financial research output is not financial advice; require human review before any live investment decision.
- 许可证不清晰
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 39 GitHub stars
- Stars/forks activity: 39 stars, 0 forks; issue activity unavailable in current metadata
- License clarity: Unknown
- Dependency/runtime risk: command execution surface, network or browser surface
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
Choose a stronger alternative or inspect the source manually before any install attempt.
质量档案
有潜力 适用于 Agent 工作流的候选
有用的候选项,但采用前应与替代方案比较。
工作流匹配
在这些场景使用此 Skill
Publish consistently
Content automation
I need my agent to turn research and product updates into useful content drafts.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
工作流匹配
加入完整工作流
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
Cli
Official Lark/Feishu CLI tool with 200+ commands and 26 AI agent skills, designed for agent-native operation and easy integration with AI runtimes.
Aaron Marketing Skills
A comprehensive set of 38 marketing skills and 5 commands for Claude Code covering SEO/GEO and influencer marketing with evaluation frameworks.
DashiAI Ppt Skill
An AI agent skill that generates editable web-based PPT presentations with 12 themes, 1020 layouts, and one-click PPTX export.
DeepPaperNote
AI agent skill that reads academic papers and generates structured Obsidian notes.
概览
--- name: newsletter description: Use when the user wants to write a product update email, feature announcement newsletter, or digest email for users or subscribers ---
# Newsletter Writer
Write product update emails and feature announcement newsletters. Handles subject lines, preview text, email structure, and audience-appropriate content.
## Input Resolution
Resolve the argument (if provided) in this order:
1. Path to an existing marketing brief (`.md` containing "Executive Summary" or "Key Messages") -> **marketing brief** 2. Path to an existing blog post (`.md` with blog post structure) -> **blog post** 3. Path to an existing changelog (`.md` with Added/Fixed/Changed sections or CHANGELOG.md) -> **changelog** 4. Matches GitHub URL or `#\d+` pattern -> **PR** 5. Contains `...` or `..` -> **git ref range** 6. Resolves to existing file/directory -> **codebase feature** 7. Otherwise -> **freeform text**
If no argument is provided, ask: "What should the newsletter cover? You can provide a marketing brief, blog post, changelog, PR URL/number, git ref range, file/directory path, or just describe the update."
If multiple interpretations match, confirm with the user.
## Process Flow
```dot digraph newsletter { rankdir=TB; "Resolve input" [shape=box]; "Phase 1: Discovery" [shape=box]; "Phase 2: Configure" [shape=box]; "Phase 3: Write" [shape=box]; "Phase 4: Review" [shape=box]; "Approved?" [shape=diamond]; "Phase 5: Output" [shape=box];
"Resolve input" -> "Phase 1: Discovery"; "Phase 1: Discovery" -> "Phase 2: Configure"; "Phase 2: Configure" -> "Phase 3: Write"; "Phase 3: Write" -> "Phase 4: Review"; "Phase 4: Review" -> "Approved?"; "Approved?" -> "Phase 3: Write" [label="revisions"]; "Approved?" -> "Phase 5: Output" [label="yes"]; } ```
**Do NOT skip phases.** Ask questions at a natural pace. If the user answers multiple questions at once, accept bundled answers and skip ahead.
If the user says "just pick defaults", "you choose", or similar, pick reasonable defaults based on context, state what you chose, and ask for a single confirmation before proceeding.
Never assume without confirming.
## Phase 1: Discovery
### Step 1 - Analyze the input
| Input type | What to read | |---|---| | Marketing brief | Extract problem statement, value prop, audience, key messages. Skip to Step 3. Still do Step 2 if brief lacks product context. | | Blog post | Extract headline, key points, audience, CTA. Skip to Step 3. Still do Step 2 if lacking product context. | | Changelog | Extract all entries. Use as the basis for a digest email. Skip to Step 3. | | PR | Diff, PR description, review comments, commit messages (`gh pr view`, `gh pr diff`). For large PRs (20+ files), focus on user-facing changes. | | Git refs | `git diff` and `git log` between refs. For large ranges, prioritize commit messages and user-facing changes. | | Codebase feature | Read the specified files/directories. | | Freeform text | Parse the user's description. If it lacks specifics, ask the user to provide more detail or point to a specific file/PR. Fall back to open-ended questions only if they can't. |
**User-facing changes** include: new features, UI changes, API changes, performance improvements, bug fixes, and documentation updates. **Internal changes** include: refactors, test additions, CI changes, and dependency bumps. When uncertain, list what you found and ask the user which are relevant.
**Error handling:** - `gh` not available -> inform user, suggest `gh auth login`, offer alternative input - Invalid PR/ref -> ask user to verify - File not found -> ask for correct path
### Step 2 - Read broader product context
Read if they exist: README, docs/, package.json (or equivalent).
If nothing found, ask: "I couldn't find product context in the repo. Can you briefly describe the product and who it's for?"
### Step 3 - Present understanding and determine format
Present a structured summary:
> "Here's what I'll base the newsletter on:" > > - Update A - short description > - Update B - short description > > "Anything to add, remove, or correct?"
Then determine the email format based on the number of updates: - **Single major update** -> single feature email (focused, deep) - **Multiple updates** -> digest email (prioritized list, most important expanded)
Confirm the format with the user.
If no user-facing changes are found in the input, tell the user and stop: "No user-facing changes found in this input. Nothing to write a newsletter about."
Do NOT proceed until the user confirms scope and format.
## Phase 2: Configuration
Ask these questions:
**Q1 - Audience:** "Who is this email going to?" (all users, power users, new users, specific plan tier, developers, non-technical users, other)
**Q2 - Output format:** "What format do you want the email in?" - **Copy only** - subject line, preview text, body text, CTA text (drop into your email tool) - **Markdown** - formatted markdown that most email tools can import
**Q3 - Tone:** Read existing repo content (README, docs, blog posts) to detect the product's voice. Then confirm:
> "Based on your existing content, the tone seems [e.g. conversational and developer-friendly]. Should I match that or go a different direction?"
If no existing content to analyze, ask directly what tone the user wants.
**Q4 - CTA:** Infer the most appropriate call to action from context: - New feature -> "Try it now", "See what's new" - Improvement -> "Check it out", "See the difference" - Open source -> "Update now", "See the release"
> "I'd suggest the CTA be: [inferred CTA]. Want to go with that or something different?"
## Phase 3: Write
### Subject lines
Generate **3-5 subject line options** with different approaches: - Benefit-driven ("Your reports now export to PDF") - Curiosity ("We rebuilt how search works") - Specific feature name ("Introducing dark mode") - Question ("Still waiting for exports to finish?") - Urgency/timeliness ("New this week: 3 features you asked for")
**Recommend one** and explain why it works best. Also explain the trade-offs of the others.
Rules: - 30-50 characters optimal (avoid truncation on mobile) - Be specific, not generic ("New: PDF exports" beats "Product Update - March 2026") - No spam trigger words (Free, Buy Now, Act Now)
### Preview text
Generate preview text for each subject line option. Preview text is the secondary line visible in inbox previews.
Rules: - 40-130 characters - Expand on the subject line, don't repeat it - Include the key benefit or outcome
### Email body
**Single feature email structure:**
1. **Problem statement** - one sentence describing the pain point this solves 2. **What changed** - 2-3 sentences describing the update in user-benefit language ("Reports load faster" not "Optimized SQL query execution") 3. **Visual placeholder** - `<!-- TODO: Add screenshot or GIF showing the feature in action -->` with a description of what to capture 4. **CTA button** - single clear action
**Digest email structure:**
1. **Lead update** - the most important update gets the full single-feature treatment (problem, what changed, visual, CTA) 2. **Secondary updates** - brief bullets with one-line descriptions and links 3. **Quick fixes / improvements** - grouped list of smaller changes 4. **Closing CTA** - single action or "See all updates"
### Writing rules
- Lead with user benefit, not what you built - Conversational tone, not corporate - Short paragraphs (2-3 sentences max) - One idea per paragraph - **Never use em-dashes** in the generated content. No "---" characters. Use commas, colons, periods, or parentheses instead. - No jargon. "Reports load faster" beats "Optimized SQL query execution plan" - Bold key phrases for scannability - Keep it scannable. Shorter is better. If the email takes more than 60 seconds to read, it's too long.
### Segment variants
After generating the primary email, ask:
> "Want me to generate variants for different audience segments? (e.g. a more technical version for developers, a simpler version for non-technical users)"
If yes, generate the requested variants, adjusting tone, depth, and feature emphasis per segment.
## Phase 4: Review
Present the complete email:
> "Here's the newsletter:" > > **Subject line options:** (with recommendation and preview text for each) > 1. Subject: "..." / Preview: "..." > 2. Subject: "..." / Preview: "..." > 3. Subject: "..." / Preview: "..." > > **Body:** > [full email content] > > "Pick a subject line and let me know if you want any changes."
Wait for the user to select a subject line and approve or request revisions. Only proceed to output once approved.
## Phase 5: Output
Always print the final approved email to terminal.
Then ask: "Want me to save this to `emails/<slug>.md`? Or a different path?"
Create the directory if it doesn't exist. If file already exists, ask whether to overwrite or create a versioned copy.
## Error Handling
- `gh` not available -> inform user, offer alternative input - Invalid PR/ref -> ask user to verify - No product context -> ask user to describe the product - No existing email directory -> default to `emails/`, create it
## What this skill does NOT do
- Send or schedule emails - Manage subscriber lists or segmentation logic - Create email templates or design systems - Generate blog posts or social copy (use `/blog-post` or `/social-copy`)
技术详情
- 版本
- 1.0.0
- 许可证
- Unknown
- 最近更新
- 2026年8月19日
- 发布时间
- 2026年8月19日
决策摘要
备选候选
仓库近期活跃
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 newsletter 准备的场景化草稿,可手动发布到 X。
A practical pick for a repeatable workflow: newsletter: Use when the user wants to write a product update email, feature announcement newsletter, or digest email for users or subs... 39 stars https://www.openagentskill.com/skills/alemtuzlak-newsletter?ref=x
可选:带安装命令的回复
Listing + install path for newsletter: https://www.openagentskill.com/skills/alemtuzlak-newsletter?ref=x Install: npx skills add AlemTuzlak/skills --skill newsletter
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 创作者
- AlemTuzlak
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 Registry 收录 列表归属于 AlemTuzlak,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/alemtuzlak-newsletter)
[](https://www.openagentskill.com/skills/alemtuzlak-newsletter)
[](https://www.openagentskill.com/skills/alemtuzlak-newsletter/audit)
[](https://www.openagentskill.com/skills/alemtuzlak-newsletter)作者
AlemTuzlak
@alemtuzlak
平台适配
健康信号
- GitHub Stars
- 39
- 质量评分
- 34/100
- 最近 GitHub 推送
- 2026年8月19日
- 框架提示
- 未知
- OpenAgentSkill 浏览量
- 5
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
Do not auto-install
- GitHub 采用度39 个 GitHub Stars检查
- Star/Fork 活跃度39 个 Star,0 个 Fork; 当前元数据中没有议题活跃度信息检查
- 近期维护距上次推送 3 天通过
- 许可证清晰度未知检查
- README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
- 依赖与运行时风险command execution surface, network or browser surface检查
相关 Skill
Cli
Official Lark/Feishu CLI tool with 200+ commands and 26 AI agent skills, designed for agent-native operation and easy integration with AI runtimes.
16.6K StarsAaron Marketing Skills
A comprehensive set of 38 marketing skills and 5 commands for Claude Code covering SEO/GEO and influencer marketing with evaluation frameworks.
2.6K StarsDashiAI Ppt Skill
An AI agent skill that generates editable web-based PPT presentations with 12 themes, 1020 layouts, and one-click PPTX export.
3.8K StarsDeepPaperNote
AI agent skill that reads academic papers and generates structured Obsidian notes.
621 Stars