technical-article-writer

technical-article-writer is a skill for Claude Code, Codex from hssh8917/cc-skills. It costs 150 tokens per session (2,452 once invoked), scanned A, a copy of technical-article-writer, MIT.

A writing guide for creating technical articles and blog posts aimed at software developers.

In plain words
What is it for?
Planning and drafting developer-focused blog posts, technical explainers, and other long-form technical content.
Why use it?
It helps avoid unclear structure, weak openings, and articles that try to cover too much. It also requires gathering the missing context before writing.

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/hssh8917/cc-skills/technical-article-writer
Any agent
npx skills add hssh8917/cc-skills --skill technical-article-writer
Clone the repo
git clone --depth 1 https://github.com/hssh8917/cc-skills

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-article-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/hssh8917/cc-skills/technical-article-writer.svg)](https://agentmods.dev/skills/hssh8917/cc-skills/technical-article-writer)
Your own site
<a href="https://agentmods.dev/skills/hssh8917/cc-skills/technical-article-writer"><img src="https://agentmods.dev/badge/skills/hssh8917/cc-skills/technical-article-writer.svg" alt="Measured on agentmods" height="20"></a>
Per session 150 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,452 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 91% 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 $0.00150 $0.02452
Opus 5 $0.00075 $0.01226
Sonnet 5 $0.00030 $0.00490
Haiku 4.5 $0.00015 $0.00245

Measured 4d ago against content hash 98957c8a09d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

technical-article-writer 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 4d 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

91% identical to technical-article-writer — 39 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/technical-article-writer/SKILL.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Technical Article Writer

Write technical articles that developers actually want to read. This skill combines structural frameworks from technical writing, hook engineering from copywriting, and practitioner-tested patterns for developer content.

Core philosophy

Most technical articles fail because of structural problems, not bad ideas: burying the lede, mixing content types, weak openings, no clear motivation, or trying to cover too much.

Developer audiences have a built-in BS detector. The best technical content leads with specificity and honesty. It sounds like a smart colleague explaining something interesting, not a marketer pitching. Acknowledge your expertise level, solve a specific problem, use real examples.


Workflow

Follow these phases in order. Each phase produces a concrete artifact the user reviews before moving on. Phase 1 is mandatory — always ask the user the intake questions and wait for answers before writing anything. If the user already provided some context, extract what you can and ask only about missing pieces.

Phase 1: Idea sharpening (interview)

Stop and ask. Before writing anything, present the intake questions below to the user and wait for their answers. Do not skip this phase, do not infer silently, and do not start drafting until you have explicit answers or confirmation on every item. Ask the user (or extract from context and confirm):

  1. Topic: What specific thing are you writing about?
  2. Objective: What's the concrete goal? Ask the user explicitly:
    • Grow subscribers / build an audience?
    • Drive signups or traffic to a product (SaaS, course, tool)?
    • Establish authority / thought leadership in a niche?
    • Something else? The objective shapes the CTA, how much you give away vs. tease, and where links and conversion points sit.
  3. Audience: Who reads this? (junior devs, senior engineers, CTOs, general tech, DBA, frontend developer...)
  4. Content type: Which pattern fits? (see references/article-structures.md for full templates)
    • The Bug Hunt / We Rewrote It in X / How We Built It / Lessons Learned
    • Thoughts on Trends / Benchmark / Tutorial / Explainer
  5. Length target: Short (800-1200), Medium (1500-2500), Long (3000+)
  6. One-sentence thesis: The single claim or takeaway. If the user can't state this, help them.

Read the full file on GitHub · 188 lines

Files

What ships with it

3 files 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. 4d ago First seen · 188 lines · 150 tokens per session scan A 98957c8a09d1

Subscribe to this mod's changes

technical-article-writer is a skill published in the GitHub repository hssh8917/cc-skills (2 stars, last pushed yesterday), licensed MIT. It adds 150 tokens to every session and 2,452 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to technical-article-writer, differing in 39 lines, and is treated as a copy.

Related

Other skills, from other repositories

dingtalk_channel_connect

Use a headed browser to automatically complete DingTalk channel integration for QwenPaw. Applicable when the user mentions DingTalk, developer console, Client ID, Client Secret, bot, Stream mode, binding or configuring a channel. Supports pausing when a login page is detected and resuming after the user logs in.

agentscope-ai/QwenPaw · 69 tokens

pdf

当用户需要对PDF文件进行任何操作时,请使用此技能。包括从 PDF 中读取或提取文本/表格、合并多个 PDF、拆分 PDF、旋转页面、添加水印、创建新PDF、填写PDF表单、加密/解密 PDF、提取图片,以及对扫描版 PDF 进行 OCR 使其可搜索。如果用户提到 .pdf 文件或要求生成 PDF,请使用此技能。.

agentscope-ai/QwenPaw · 95 tokens

make_plan

For external plan request scenarios, guides the Agent to request a clear, actionable, step-by-step plan from a stronger Agent via listagents and chatwithagent, emphasizing that the plan is executed by the requester, not by the consulted Agent.

agentscope-ai/QwenPaw · 51 tokens

browser

Drive a live browser with async Python against QwenPaw's builtin Browser SDK. The full reference is below; re-load this browser skill after context compaction.

agentscope-ai/QwenPaw · 35 tokens

writing

将共享历史中的已验证事实和计算结果整理成符合受众、格式与长度约束的成稿。.

bojieli/ai-agent-book · 27 tokens

kayba-stage-5-action-plan

Triage each insight into discard/code-fix/prompt-fix and produce a prioritized action plan with specific recommendations. Trigger when the user says "run stage 5", "make action plan", "triage skills", or when invoked by the kayba-pipeline orchestrator. Requires eval outputs from stages 1-4.

kayba-ai/agentic-context-engine · 74 tokens