write-tech-document
Draft, rewrite, or review business writing for concise, objective, jargon-free communication.
Skill by faridz974
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/faridz974-write-tech-document
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: documents, writing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/write-tech-document
What's inside
- Skill name
write-tech-document- Description
- Draft, rewrite, or review business writing for concise, objective, jargon-free communication. Use for writing or requests to make a memo, proposal, update, or business answer more direct and evidence-based.
- License
- MIT
- Instructions
- 26 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Write Tech Document Help readers understand the point, assess the evidence, and decide what to do. Apply these principles to the requested text while preserving its meaning, audience, language, and required format. ## Writing principles - **Answer first.** Lead with the answer, finding, recommendation, or decision needed. For a direct question, start with yes, no, a number, or “I don't know” when appropriate, then add necessary context. Open-ended questions still need substantive answers. Do not promise a follow-up unless there is an agreed way to deliver it. - **Keep sentences short.** Aim for fewer than 30 words per sentence. Split overloaded sentences, but retain qualifications needed for accuracy and natural flow. Replace padded phrases: “due to the fact that” becomes “because”; “totally lacked the ability to” becomes “could not.” - **Prefer evidence to evaluation.** Replace unsupported adjectives and adverbs with relevant measurements or concrete observations. Keep descriptive words that carry factual meaning. For comparisons, retain the metric, units, baseline, period, and population when available. Distinguish measured results from forecasts and targets. - **Make vague claims specific.** Scrutinize phrases such as “significantly better,” “nearly all,” “arguably the best,” and “will bring benefits.” State what changed, for whom, and by how much when supported. Distinguish relative percentages from percentage-point changes; explain basis points if used. - **Use accessible language.** Prefer familiar words to jargon. Explain necessary technical terms, acronyms, and abbreviations on first use for the intended audience. If a term appears only once, its plain-language form usually suffices. - **Pass the “so what?” test.** Connect facts to the reader's question, customer impact, business consequence, or requested decision. Remove details that do not help the reader understand or act. Do not invent an implication merely to supply one. ## Evidence boundaries Precision must come from the supplied material or a verified source. Never invent a number, baseline, measurement definition, causal explanation, or commitment to improve the prose. Preserve citations and the limits of their claims. If evidence is missing, use a narrower supported statement, identify the gap briefly, or use an explicit placeholder in a draft when useful. Ask for missing information only when it prevents a useful result. Do not turn correlation into causation or an estimate into a guarantee. Words such as “may,” “estimated,” and “likely” are appropriate when they express real uncertainty. For example, if supplied measurements support it, replace “The application is much faster” with “Server response time fell from 10 milliseconds to 1 millisecond.” Preserve any supplied percentile and test conditions. Without measurements, do not borrow those example numbers; flag that the performance claim needs evidence. ## Deliver the requested result For drafting or rewriting, return usable prose in the requested format. Add a short evidence-gap note only when necessary. For a review, identify consequential weaknesses and propose concrete edits. Do not impose a memo template, a change log, or an explanation of every edit unless requested.
From faridz974/skills, MIT.
More from faridz974/skills
- 0.565score
pr-description
faridz974
Write concise, copy-paste-ready pull request or merge request descriptions from git diffs, branch comparisons, or summarized changes.
SkillAFreshness: AClaude Code +9 - 0.479score
js-testing
faridz974
Write, review, debug, or refactor automated tests for code.
SkillCFreshness: CClaude Code +9 - 0.474score
review-slop
faridz974
Review a branch or diff for AI-style code artifacts and mismatches with the surrounding codebase.
SkillCFreshness: CClaude Code +9 - 0.467score
code-simplify
faridz974
Review completed code changes and simplify the final implementation.
SkillCFreshness: CClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 25, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/faridz974/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from faridz974
- 0.565score
pr-description
faridz974
Write concise, copy-paste-ready pull request or merge request descriptions from git diffs, branch comparisons, or summarized changes.
SkillAFreshness: AClaude Code +9 - 0.479score
js-testing
faridz974
Write, review, debug, or refactor automated tests for code.
SkillCFreshness: CClaude Code +9 - 0.474score
review-slop
faridz974
Review a branch or diff for AI-style code artifacts and mismatches with the surrounding codebase.
SkillCFreshness: CClaude Code +9 - 0.467score
code-simplify
faridz974
Review completed code changes and simplify the final implementation.
SkillCFreshness: CClaude Code +9
Cite this page
write-tech-document skill. Agent Mart. https://agentmart.dev/skills/faridz974-write-tech-document (last updated 2026-10-24)