Technical Writing

Name: Technical Writing
Author: proffesor-for-testing

Checked

proffesor-for-testing·vlatest·writing·MIT

Helps with testing, writing as part of testing, debugging, and quality assurance workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Run this in your project

terminal

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

Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

proffesor-for-testing

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned 11 Oct 2026

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned proffesor-for-testing/agentic-qe at 124d8c735e.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: 124d8c735e
Manifest: assets/skills/technical-writing/SKILL.md
Scanned: 4 files, 886 lines
Copies in repo: 2 — all of them scanned

This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.

What each check looks for →

About this skill

What it does

This skill helps AI agents improve technical writing, specifically for testing, debugging, and quality assurance workflows. It provides guidance on structuring content to be clear, concise, and valuable to the reader, emphasizing specific examples and measurable results over vague statements. The skill also offers tailored advice based on the intended audience (developers, QA/QE, or leadership).

When to use it

When drafting blog posts related to testing processes or technical improvements.
To rewrite existing technical documentation for clarity and impact.
For generating documentation directly from code using an integrated "Generate Docs" task.
When needing to communicate technical information to different audiences (developers, QA/QE, leadership).
To improve the quality of reports detailing testing strategies or outcomes.

Key capabilities

Provides principles for effective technical writing: Lead with value, Show don't tell, Be specific, and be honest about trade-offs.
Offers a blog post structure template including title, opening, body sections (one clear idea per section), and closing.
Suggests transformations of vague statements into more concrete and impactful language.
Provides audience-specific writing guidelines for developers, QA/QE, and leadership.
Includes an editing checklist to ensure quality before publishing.
Supports code documentation generation via a "Generate Docs" task.

Example prompts

“Rewrite this paragraph about our testing strategy to be more impactful: 'We decided to implement a more comprehensive testing strategy that would allow us to catch bugs earlier in the development lifecycle.'"
"Create a blog post outline on how we moved exploratory testing into sprint planning."
"Generate documentation for this code snippet: src/services/Pa"

Tips & gotchas

The skill focuses on improving technical writing, not general content creation.
Pay attention to the audience guidelines – tailoring your language is crucial.
Use concrete examples and data whenever possible to support claims.