newsletter-generation

newsletter-generation is a skill for Claude Code, Codex from CamiProject/semantic-deer-flow. It costs 88 tokens per session (2,877 once invoked), scanned A, a copy of newsletter-generation, MIT.

A workflow for writing newsletters, email digests, weekly roundups, industry briefings, and curated content summaries.

In plain words
What is it for?
Creating topic-based newsletters from multiple sources, with headlines, summaries, links, attribution, formatting, and a consistent audience-appropriate tone.
Why use it?
It gathers information, organizes it into a readable format, and adds original explanation so you do not have to assemble the publication manually.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Creating topic-based newsletters from multiple sources, with headlines, summaries, links, attribution, formatting, and a consistent audience-appropriate tone.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/camiproject/semantic-deer-flow/newsletter-generation
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add CamiProject/semantic-deer-flow --skill newsletter-generation
Clone the repo
git clone --depth 1 https://github.com/CamiProject/semantic-deer-flow

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for newsletter-generation

README.md
[![agentmods](https://agentmods.dev/badge/skills/camiproject/semantic-deer-flow/newsletter-generation/github.svg)](https://agentmods.dev/skills/camiproject/semantic-deer-flow/newsletter-generation)
Your own site
<a href="https://agentmods.dev/skills/camiproject/semantic-deer-flow/newsletter-generation"><img src="https://agentmods.dev/badge/skills/camiproject/semantic-deer-flow/newsletter-generation/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for newsletter-generation

Your own site · 80×15
<a href="https://agentmods.dev/skills/camiproject/semantic-deer-flow/newsletter-generation"><img src="https://agentmods.dev/badge/skills/camiproject/semantic-deer-flow/newsletter-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,877 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00088 $0.02877
Opus 5 $0.00044 $0.01438
Sonnet 5 $0.00018 $0.00575
Haiku 4.5 $0.00009 $0.00288

Measured 12d ago against content hash cc66adb99053, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

newsletter-generation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to newsletter-generation — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/public/newsletter-generation/SKILL.md · 344 lines

How it starts

The opening of the file, as written. The whole thing — 344 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Newsletter Generation Skill

Overview

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.

Core Capabilities

  • Research and curate content from multiple web sources on specified topics
  • Generate topic-focused or multi-topic newsletters with consistent voice
  • Write engaging headlines, summaries, and original commentary
  • Structure content for optimal readability and scanning
  • Support multiple newsletter formats (daily digest, weekly roundup, deep-dive, industry briefing)
  • Include relevant links, sources, and attributions
  • Adapt tone and style to target audience (technical, executive, general)
  • Generate recurring newsletter series with consistent branding and structure

When to Use This Skill

Always load this skill when:

  • User asks to generate a newsletter, email digest, or content roundup
  • User requests a curated summary of news or developments on a topic
  • User wants to create a recurring newsletter format
  • User asks to compile recent developments in a field into a briefing
  • User needs a formatted email-ready content piece with multiple curated items
  • User asks for a "weekly roundup", "monthly digest", or "morning briefing"

Newsletter Workflow

Phase 1: Planning

Step 1.1: Understand Newsletter Requirements

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

Read the full file on GitHub · 344 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 344 lines · 88 tokens per session scan A cc66adb99053

Subscribe to this mod's changes

newsletter-generation is a skill published in the GitHub repository CamiProject/semantic-deer-flow (21 stars, last pushed 1mo ago), licensed MIT. It adds 88 tokens to every session and 2,877 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to newsletter-generation, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens