Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when the user requests to generate, create, write, or draft a newsletter, email digest, weekly roundup, industry briefing, or curated content summary. Supports topic-based research, content curation from multiple sources, and professional formatting for email or web distribution. Trigger on requests like "create a newsletter about X", "write a weekly digest", "generate a tech roundup", or "curate news about Y".
インストールする前に、エージェントに与えられる指示の中身を確認できます。
This skill generates professional, well-researched newsletters that combine curated content from multiple sources with original analysis and commentary. It follows modern newsletter best practices from publications like Morning Brew, The Hustle, TLDR, and Benedict Evans to produce content that is informative, engaging, and actionable.
The output is a complete, ready-to-publish newsletter in Markdown format, suitable for email distribution platforms, web publishing, or conversion to HTML.
Always load this skill when:
Identify the key parameters:
| Parameter | Description | Default |
|---|---|---|
| Topic(s) | Primary subject area(s) to cover | Required |
| Format | Daily digest, weekly roundup, deep-dive, or industry briefing | Weekly roundup |
| Target Audience | Technical, executive, general, or niche community | General |
| Tone | Professional, conversational, witty, or analytical | Conversational-professional |
| Length | Short (5-min read), medium (10-min), long (15-min+) | Medium |
| Sections | Number and type of content sections | 4-6 sections |
| Frequency Context | One-time or part of a recurring series | One-time |
Based on the format, select the appropriate structure:
Daily Digest Structure:
1. Top Story (1 item, detailed)
2. Quick Hits (3-5 items, brief)
3. One Stat / Quote of the Day
4. What to Watch
Weekly Roundup Structure:
1. Editor's Note / Intro
2. Top Stories (2-3 items, detailed)
3. Trends & Analysis (1-2 items, original commentary)
4. Quick Bites (4-6 items, brief summaries)
5. Tools & Resources (2-3 items)
6. One More Thing / Closing
Deep-Dive Structure:
1. Introduction & Context
2. Background / Why It Matters
3. Key Developments (detailed analysis)
4. Expert Perspectives
5. What's Next / Implications
6. Further Reading
Industry Briefing Structure:
1. Executive Summary
2. Market Developments
3. Company News & Moves
4. Product & Technology Updates
5. Regulatory & Policy Changes
6. Data & Metrics
7. Outlook
Conduct thorough research using web search. The quality of the newsletter depends directly on the quality and recency of research.
Search Strategy:
# Current news and developments
"[topic] news [current month] [current year]"
"[topic] latest developments"
"[topic] announcement this week"
# Trends and analysis
"[topic] trends [current year]"
"[topic] analysis expert opinion"
"[topic] industry report"
# Data and statistics
"[topic] statistics [current year]"
"[topic] market data latest"
"[topic] growth metrics"
# Tools and resources
"[topic] new tools [current year]"
"[topic] open source release"
"best [topic] resources [current year]"
IMPORTANT: Always check
<current_date>to ensure search queries use the correct temporal context. Never use hardcoded years.
Evaluate each source and curate the best content:
| Criterion | Priority |
|---|---|
| Recency | Prefer content from the last 7-30 days |
| Authority | Prioritize primary sources, official announcements, established publications |
| Uniqueness | Select stories that offer fresh perspective or are underreported |
| Relevance | Every item must clearly connect to the newsletter's stated topic(s) |
| Actionability | Prefer content readers can act on (tools, insights, strategies) |
| Diversity | Mix of news, analysis, data, and practical resources |
For key stories, use web_fetch to read full articles and extract:
Every newsletter starts with a consistent header:
# [Newsletter Name]
*[Tagline or description] — [Date]*
---
[Optional: One-sentence preview of what's inside]
Top Stories / Featured Items:
Quick Bites / Brief Items:
Analysis / Commentary Sections:
| Principle | Implementation |
|---|---|
| Scannable | Use headers, bold text, bullet points, and short paragraphs |
| Engaging | Lead with the most interesting angle, not chronological order |
| Concise | Every sentence earns its place — cut filler ruthlessly |
| Accurate | Every fact is sourced, every number is verified |
| Attributive | Always credit original sources with inline links |
| Human | Write like a knowledgeable friend, not a press release |
Tone Calibration by Audience:
| Audience | Tone | Example |
|---|---|---|
| Technical | Precise, no jargon explanations, assumed expertise | "The new API supports gRPC streaming with backpressure handling via flow control windows." |
| Executive | Impact-focused, bottom-line, strategic | "This acquisition gives Company X a 40% market share in the enterprise segment, directly threatening Incumbent Y's pricing power." |
| General | Accessible, analogies, explains concepts | "Think of it like a universal translator for data — it lets any app talk to any database without learning a new language." |
Combine all sections into the final document following the chosen structure template.
Every newsletter ends with:
---
*[Newsletter Name] is [description of what it is].*
*[How to subscribe/share/give feedback]*
*Sources: All links are provided inline. This newsletter curates and summarizes
publicly available information with original commentary.*
Before finalizing, verify:
# [Newsletter Name]
*[Tagline] — [Full date, e.g., April 4, 2026]*
---
[Preview sentence: "This week: [topic 1], [topic 2], and [topic 3]."]
## 🔥 Top Stories
### [Headline 1]
[Hook — why this matters in 1-2 sentences.]
[Body — 2-4 paragraphs covering key facts, context, and implications.]
**Why it matters:** [1 paragraph connecting to reader's interests or industry impact.]
📎 [Source: Publication Name](URL)
### [Headline 2]
[Same structure as above]
## 📊 Trends & Analysis
### [Trend Title]
[Original commentary on an emerging trend, backed by data from research.]
[Key data points presented clearly — consider inline stats or a brief comparison.]
**The bottom line:** [One-sentence takeaway.]
## ⚡ Quick Bites
- **[Headline]** — [2-3 sentence summary with key takeaway.] [Source](URL)
- **[Headline]** — [2-3 sentence summary.] [Source](URL)
- **[Headline]** — [2-3 sentence summary.] [Source](URL)
- **[Headline]** — [2-3 sentence summary.] [Source](URL)
## 🛠️ Tools & Resources
- **[Tool/Resource Name]** — [What it does and why it's useful.] [Link](URL)
- **[Tool/Resource Name]** — [Description.] [Link](URL)
## 💬 One More Thing
[Closing thought, insightful quote, or forward-looking statement.]
---
*[Newsletter Name] curates the most important [topic] news and analysis.*
*Found this useful? Share it with a colleague.*
*All sources are linked inline. Views and commentary are original.*
After generation:
/mnt/user-data/outputs/newsletter-{topic}-{date}.mdpresent_files tooldeep-research skill for comprehensive topic coverage — load both for newsletters requiring deep analysis<current_date> for temporal context in searches and date references in the newsletterまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".
日本語の概要は準備中です。原文の説明を表示しています。
Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
日本語の概要は準備中です。原文の説明を表示しています。
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
日本語の概要は準備中です。原文の説明を表示しています。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
日本語の概要は準備中です。原文の説明を表示しています。
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
日本語の概要は準備中です。原文の説明を表示しています。