This file explains how to change Humanizer without breaking its package or prompt.
Humanizer is an agent skill written in Markdown. SKILL.md is the prompt that agents read. The repo has no build step.
Keep the skill portable. Do not write instructions that limit it to one or two agent tools.
SKILL.mdis the source of truth and the repo's only skill file. It contains portable YAML metadata, 35 numbered patterns, and their examples.README.mdexplains installation, use, patterns, and version history..claude-plugin/plugin.jsondescribes the Claude plugin and points its skill loader at the rootSKILL.md..claude-plugin/marketplace.jsonlets users add this repo as a Claude marketplace.scripts/validate-package.pychecks package files and shared values.
Keep SKILL.md and README.md in sync.
- Patterns: The skill has 35 numbered patterns. If you add, remove, or renumber a pattern, update the README table, heading, validator, and every pattern reference.
- Version: Keep the same version in
SKILL.mdundermetadata.version, the first README version entry, and.claude-plugin/plugin.json. Do not add a top-levelversionfield to the skill. - Compatibility: Keep install and use instructions neutral across agents. Names such as Claude Code, OpenCode, and Codex are examples, not limits.
- History: Add a short README version note for any behavior change or non-obvious fix.
- Checks: Before publishing, run
python3 scripts/validate-package.py,npx skills add . --list, andclaude plugin validate ..
Use Plain Language in code comments, prompts, documentation, descriptions, validation messages, and progress reports.
- Lead with the main point.
- Use common words and active voice.
- Keep sentences and paragraphs short.
- Use one term for the same item.
- Use
mustfor requirements. - Use headings, lists, and tables when they help the reader.
- Remove repeated or unnecessary words.
- Limit acronyms and explain technical terms.
- Avoid double negatives.
- Keep exact identifiers, commands, paths, schema fields, quotations, watched phrases, and behavior-bearing examples.
- Keep the full technical meaning.
- Keep the YAML metadata valid.
- Treat the prompt below the metadata as the product.
- Prefer a short, clear instruction over another exception or repeated explanation.