technical-writing

technical-writing is a skill for Claude Code, Codex from summarybotng/summarybot-ng. It costs 27 tokens per session (1,114 once invoked), scanned A, original, MIT.

Write clear, engaging technical content from real experience. Use when writing blog posts, documentation, tutorials, or technical articles.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/summarybotng/summarybot-ng/technical-writing
Any agent
npx skills add summarybotng/summarybot-ng --skill technical-writing
Clone the repo
git clone --depth 1 https://github.com/summarybotng/summarybot-ng

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 technical-writing

README.md
[![agentmods](https://agentmods.dev/badge/skills/summarybotng/summarybot-ng/technical-writing.svg)](https://agentmods.dev/skills/summarybotng/summarybot-ng/technical-writing)
Your own site
<a href="https://agentmods.dev/skills/summarybotng/summarybot-ng/technical-writing"><img src="https://agentmods.dev/badge/skills/summarybotng/summarybot-ng/technical-writing.svg" alt="Measured on agentmods" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,114 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found 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 $0.00027 $0.01114
Opus 5 $0.00014 $0.00557
Sonnet 5 $0.00005 $0.00223
Haiku 4.5 $0.00003 $0.00111

Measured today against content hash 230711bce85a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

technical-writing 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 today.

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.

.claude/skills/technical-writing/SKILL.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Technical Writing

<default_to_action> When writing technical content:

  1. LEAD with value (what will reader learn/gain?)
  2. SHOW, don't tell (specific examples, code, numbers)
  3. STRUCTURE for scanning (headers, bold, short paragraphs)
  4. CUT ruthlessly (every sentence must earn its place)
  5. BE honest about trade-offs

Blog Post Structure:

# Title (specific promise)

## Opening (2-3 paragraphs)
- Hook: The problem or insight
- Context: Why this matters
- Promise: What they'll learn

## Body (3-5 sections)
- One clear idea per section
- Support with examples/code/data

## Closing
- Key takeaway (1-2 sentences)
- Action reader can take

Before/After: ❌ "We implemented a comprehensive testing strategy..." ✅ "We moved exploratory testing into sprint planning. QE now pairs with devs during story refinement." </default_to_action>

Quick Reference Card

Core Principles

Principle Bad Good
Lead with value "In today's landscape..." "Here's how we cut bugs 60%"
Show, don't tell "We improved testing" "Bug detection: 12→47 per sprint"
Be specific "Performance improved" "Response time: 2.3s→180ms"
Honest trade-offs "This approach is best" "TDD slowed velocity 20%, reduced bugs 75%"

Words to Cut

Kill Reason
basically, actually, probably Hedge words
leverage, synergy, paradigm Corporate speak
very, really, quite Unnecessary qualifiers
it should be noted that Just note it

Audience-Specific Writing

For Developers

  • Lead with code or concrete problem
  • Show implementation details
  • Discuss trade-offs and alternatives
  • Link to repos or examples

For QA/QE

  • Start with testing challenge
  • Show strategy, not just tools
  • Include risk assessment
  • Provide adaptable heuristics

For Leadership

  • Open with business impact
  • Use metrics that matter
  • Connect technical to outcomes
  • Keep technical details concise

Read the full file on GitHub · 183 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. today First seen · 183 lines · 27 tokens per session scan A 230711bce85a

Subscribe to this mod's changes

technical-writing is a skill published in the GitHub repository summarybotng/summarybot-ng (2 stars, last pushed 2mo ago), licensed MIT. It adds 27 tokens to every session and 1,114 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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