惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Martin Fowler
Martin Fowler
大猫的无限游戏
大猫的无限游戏
J
Java Code Geeks
罗磊的独立博客
雷峰网
雷峰网
G
Google Developers Blog
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
爱范儿
爱范儿
B
Blog RSS Feed
腾讯CDC
Apple Machine Learning Research
Apple Machine Learning Research
D
Docker
Recent Announcements
Recent Announcements
T
Tailwind CSS Blog
博客园 - 聂微东
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Vercel News
Vercel News
小众软件
小众软件
人人都是产品经理
人人都是产品经理
云风的 BLOG
云风的 BLOG
IT之家
IT之家
Blog — PlanetScale
Blog — PlanetScale
I
InfoQ
S
SegmentFault 最新的问题

Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
GitHub - cfitzgerald-pd/1pager: AI is too verbose. 1pager...
bennydog224 · 2026-06-19 · via Hacker News - Newest: "AI"

A skill that condenses any long document, directory, or chat into a strict one-page summary — bullet-first, least verbosity possible — humanizes it, and exports a .md plus a .docx (opens in Word and Google Docs).

The problem

LLMs are verbose by default. Left unedited, their output is long, padded, and full of tells (rule-of-three, "delve", em-dash sprees, generic upbeat closers).

The cost lands on the reader. As Camille Fournier argues in Guidelines for respectful use of AI, shipping unreviewed, bloated AI output creates a validation tax: colleagues have to read and verify text the author never bothered to trim. Long PRs, wall- of-text messages, and bloated docs are, in her words, "frankly, just rude." Brevity is a form of respect — shorter is better because it protects the reader's time.

This skill exists to do the trimming the author should have done: cut the output down to only what the reader needs to understand or decide, on a single page.

What it does

  1. Strips to essentials — keeps the point, the decision/ask, the few supporting facts, real risks, and concrete next steps. Drops everything else.
  2. Drafts a strict 1-pager — bottom line first, then bullets. One page, hard ceiling (~350 words).
  3. Humanizes — removes AI-writing tells. Invokes the installed humanizer skill if present; otherwise falls back to the bundled references/humanizer.md.
  4. Exports two files<name>-1pager.md and <name>-1pager.docx.

Files

1pager/
├── SKILL.md                     # the skill: condense → humanize → export
├── README.md                    # this file
├── scripts/
│   └── md_to_docx.py            # pure-stdlib Markdown → .docx (no dependencies)
└── references/
    └── humanizer.md             # bundled humanizer rules (fallback)

Usage

In Claude Code, the skill triggers when you ask to condense, shorten, or make a 1-pager out of something:

"Condense this design doc into a one-pager." "This thread is way too long — give me a tl;dr I can share." "Boil the docs/ folder down to a single page."

Point it at a directory and it combines the relevant files into one page by default (one page per file if you ask for that instead).

You can also run the converter directly:

python3 scripts/md_to_docx.py my-1pager.md my-1pager.docx

Converter scope

md_to_docx.py supports the small Markdown subset a 1-pager needs: ##### headings, -/* bullets (two-space indent = sub-bullet), **bold**, and `code` (rendered monospace). It has no external dependencies — a .docx is just a zip of XML, built with the Python standard library.