Write clear, engaging technical content from real experience.

MITAuto-check passedWriting & Content

Install Technical Writing

skills CLI
$ npx skills add proffesor-for-testing/agentic-qe --skill technical-writing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install proffesor-for-testing/agentic-qe technical-writing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .claude/skills && cp -r skills-src/assets/skills/technical-writing .claude/skills/technical-writing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
technical-writing
GitHub stars
494
Token cost
~1.2k tokens
SKILL.md length
385 words
Files
2
Skills in repo
95
Repo updated
First seen
Licence
MIT

At a glance

Write clear, engaging technical content from real experience.

  • Works in 5 steps: LEAD with value (what will reader… → SHOW, don't tell (specific examples,… → STRUCTURE for scanning (headers, bold,… → …
  • Writing blog posts
  • SKILL.md covers Quick Reference Card, Audience-Specific Writing, Editing Checklist and Example Transformations, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Technical Writing is an agent skill from proffesor-for-testing/agentic-qe. Write clear, engaging technical content from real experience. Use when writing blog posts, documentation, tutorials, or technical articles.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `schemas/output.json`).

It sits in Writing & Content, covering Technical writing and Blog and article writing. The repository describes itself as: Agentic QE Fleet is an open-source AI-powered QA/QE platform designed for use with Coding Agents (works best with Claude Code) featuring specialized agents and skills to support… The licence is MIT.

When your agent uses it

  • Writing blog posts
  • Technical articles

Example prompts

  • “/technical-writing”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  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

What it can do on your machine

Read from SKILL.md and the folder at commit 829d030. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript and markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Technical Writing loads about 1.2k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 385 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from proffesor-for-testing/agentic-qe at commit 829d030, republished under its MIT licence (© proffesor-for-testing). 385 words, ~1,221 tokens.

Download SKILL.mdSave it as .claude/skills/technical-writing/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
technical-writing
description
Write clear, engaging technical content from real experience. Use when writing blog posts, documentation, tutorials, or technical articles.
category
communication
priority
medium
tokenEstimate
800
agents
qe-quality-analyzer, qe-api-contract-validator
implementation_status
optimized
optimization_version
1
last_optimized
2025-12-03
quick_reference_card
true
tags
writing, documentation, communication, blogs, tutorials
trust_tier
1

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:

markdown
# 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
PrincipleBadGood
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
KillReason
basically, actually, probablyHedge words
leverage, synergy, paradigmCorporate speak
very, really, quiteUnnecessary qualifiers
it should be noted thatJust 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

Editing Checklist

Before publishing:

  • Title promises something specific
  • Opening hooks in 30 seconds
  • Claims backed by examples
  • All unnecessary words cut
  • Code examples tested and correct
  • Takeaway crystal clear
  • Would send to respected colleague

Show full SKILL.md (144 more words)Show less

Example Transformations

Before: "We decided to implement a more comprehensive testing strategy that would allow us to catch bugs earlier in the development lifecycle."

After: "We moved exploratory testing into sprint planning. QE now pairs with devs during story refinement, identifying risks before code is written."


Before: "The benefits of this approach are numerous and include improved quality, faster feedback loops, and better team collaboration."

After: "Three outcomes: bugs found 2 days earlier on average, 30% fewer regression issues, and devs now ask QE for input during design."


Agent Integration

typescript
// Generate documentation from code
const docs = await Task("Generate Docs", {
  source: 'src/services/PaymentService.ts',
  format: 'markdown',
  includeExamples: true
}, "qe-quality-analyzer");

// Review documentation quality
const review = await Task("Review Docs", {
  files: ['README.md', 'docs/api.md'],
  checkClarity: true,
  checkCodeExamples: true
}, "qe-quality-analyzer");

Agent Coordination Hints

Memory Namespace
aqe/technical-writing/
├── generated-docs/*   - Auto-generated documentation
├── reviews/*          - Documentation review findings
└── templates/*        - Reusable doc templates
Fleet Coordination
typescript
const docsFleet = await FleetManager.coordinate({
  strategy: 'documentation',
  agents: [
    'qe-quality-analyzer',         // Generate and review
    'qe-api-contract-validator'    // API doc accuracy
  ],
  topology: 'sequential'
});


Remember

You're not writing to impress. You're writing to help people solve problems you've already solved. Be the colleague you wish you'd had.

Write from experience. Only write about what you've done in production. If exploring, say so.

© proffesor-for-testing, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in assets/skills/technical-writing of proffesor-for-testing/agentic-qe.

  • SKILL.md
  • schemas/output.json

Open the folder on GitHubat commit 829d030

Compare with similar skills

Technical Writing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Technical Writing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Technical Writing this skillproffesor-for-testing/agentic-qe494—~1.2kAutomated safety check: PassMIT
Rnd Technical Writerchendongqi/OPB-Skills125—~2.5kAutomated safety check: PassNone
Dynamo Content DesignerDynamoDS/Dynamo2k—~1.6kAutomated safety check: PassApache-2.0
Voicejvm-skills/jvm-skills140—~592Automated safety check: PassApache-2.0
Domodomo Release Documentationdarknecrocities/DomoDomo---All-in-one-Tool239—~17kAutomated safety check: PassNone
Reading Levelthedaviddias/Front-End-Checklist74k—~613Automated safety check: PassMIT

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Questions about Technical Writing

What does Technical Writing do?

Write clear, engaging technical content from real experience. Technical Writing is an agent skill from proffesor-for-testing/agentic-qe. Write clear, engaging technical content from real experience.

When should I use Technical Writing?

Technical Writing fits situations like: writing blog posts; technical articles.

How do I install Technical Writing in Claude Code?

Run `npx skills add proffesor-for-testing/agentic-qe --skill technical-writing -a claude-code`. Or copy the skill folder (assets/skills/technical-writing in proffesor-for-testing/agentic-qe) into .claude/skills/technical-writing in your project. Claude Code loads it when a task matches its description.

How do I install Technical Writing in Codex?

Run `npx skills add proffesor-for-testing/agentic-qe --skill technical-writing -a codex`. Or copy the skill folder (assets/skills/technical-writing in proffesor-for-testing/agentic-qe) into .agents/skills/technical-writing in your project. Codex loads it when a task matches its description.

Can I use Technical Writing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add proffesor-for-testing/agentic-qe --skill technical-writing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/technical-writing, .gemini/skills/technical-writing, .github/skills/technical-writing and .opencode/skills/technical-writing in your project.

What does Technical Writing need to run?

SKILL.md names no scripts, command-line tools or credentials: Technical Writing is instructions for the agent only.

Does Technical Writing access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Technical Writing safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Technical Writing use?

Technical Writing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Technical Writing use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Technical Writing?

Skills that share tags, products or a category with Technical Writing: Rnd Technical Writer (chendongqi/OPB-Skills, 125 stars), Dynamo Content Designer (DynamoDS/Dynamo, 2k stars), Voice (jvm-skills/jvm-skills, 140 stars) and Domodomo Release Documentation (darknecrocities/DomoDomo---All-in-one-Tool, 239 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Technical Writing?

proffesor-for-testing (a GitHub user) maintains it in proffesor-for-testing/agentic-qe, which has 494 GitHub stars. The repository holds 95 skills in this directory. The repository was last updated on October 4, 2026.

Source: proffesor-for-testing/agentic-qe on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.