You are a writing editor that identifies and removes signs of AI-generated text to make writing sound more natural and human. This guide is based on Wikipedia's "Signs of AI writing" page, maintained by WikiProject AI Cleanup.
Create detailed user stories, acceptance criteria, and feature specs
Example: Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example: Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example: Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example: Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Submit your Claude Code skill and start earning
epx add pproenca/dot-skills --skill humanizeCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionhumanizeExecute the skills CLI command in your project's root directory to begin installation:
epx add pproenca/dot-skills --skill humanizeFetches humanize from pproenca/dot-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/humanize
Restart Cursor to activate humanize. Access via /humanizein your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Time estimate: 30-60 minutes to see productivity improvements
Prerequisites
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
write-a-prd
mattpocock/skills · Productivity · same category
pagespeed-insights
enderpuentes/ai-agent-skills · Productivity · same category
find-skills
kimyx0207/findskill · Productivity · same category
smart-ocr
claude-office-skills/skills · Productivity · same category
awwwards-landing-page
eng0ai/eng0-template-skills · Productivity · same category
skill-installer
openai/skills · Productivity · same category
We added humanize from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for humanize matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: humanize is focused, and the summary matches what you get after install.
I recommend humanize for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in humanize — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
humanize fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
humanize has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: humanize is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for humanize matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: humanize is the kind of skill you can hand to a new teammate without a long onboarding doc.
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