Skills no longer come from the user's ~/.agents library - most users have none, and the CEO branch that compiled the entire catalogue into its prompt overflowed the model context (1.1MB) and failed every CEO run. - Bundle "built-in skills/" with the app (extraResources) and stage it at startup into <profile>/builtin-skills as one dir-per-skill copy - both bundle shapes (SKILL.md dirs and flat category .md files) normalize into the same importable layout - Import the staged catalogue per org at startup and inside onboarding, so the CEO's first run already carries it - Forced house style: resolveRuntimeSnapshot unions the humanizer skill into every agent's runtime (CEO included) as a resolution rule - no binding row to forget, delete, or bypass; revoke_skill refuses it - CEO staffs hires with skills: hire_agent accepts a skills array, grant_skill/revoke_skill adjust later, list_skills now shows descriptions from skill frontmatter - Kill the c_suite compile-all branch; everyone resolves bindings-only, capped at 200k chars with omissions named in the prompt - Remove the Skills settings page and its import/sync/test IPC surface; drop ~/.agents discovery and the AGENTCOMPANY_NEW_SKILLS_ROOT seam in favor of AGENTCOMPANY_NEW_BUILTIN_SKILLS_DIR - Tests: staging/import/forced-resolution/cap units, real-bundle CI check, e2e asserts the tab is gone and the catalogue self-imports
Humanizer
A Claude Code skill that removes signs of AI-generated writing from text, making it sound more natural and human.
Installation
Recommended (clone directly into Claude Code skills directory)
mkdir -p ~/.claude/skills
git clone https://github.com/blader/humanizer.git ~/.claude/skills/humanizer
Manual install/update (only the skill file)
If you already have this repo cloned (or you downloaded SKILL.md), copy the skill file into Claude Code’s skills directory:
mkdir -p ~/.claude/skills/humanizer
cp SKILL.md ~/.claude/skills/humanizer/
Usage
In Claude Code, invoke the skill:
/humanizer
[paste your text here]
Or ask Claude to humanize text directly:
Please humanize this text: [your text]
Overview
Based on Wikipedia's "Signs of AI writing" guide, maintained by WikiProject AI Cleanup. This comprehensive guide comes from observations of thousands of instances of AI-generated text.
Key Insight from Wikipedia
"LLMs use statistical algorithms to guess what should come next. The result tends toward the most statistically likely result that applies to the widest variety of cases."
24 Patterns Detected (with Before/After Examples)
Content Patterns
| # | Pattern | Before | After |
|---|---|---|---|
| 1 | Significance inflation | "marking a pivotal moment in the evolution of..." | "was established in 1989 to collect regional statistics" |
| 2 | Notability name-dropping | "cited in NYT, BBC, FT, and The Hindu" | "In a 2024 NYT interview, she argued..." |
| 3 | Superficial -ing analyses | "symbolizing... reflecting... showcasing..." | Remove or expand with actual sources |
| 4 | Promotional language | "nestled within the breathtaking region" | "is a town in the Gonder region" |
| 5 | Vague attributions | "Experts believe it plays a crucial role" | "according to a 2019 survey by..." |
| 6 | Formulaic challenges | "Despite challenges... continues to thrive" | Specific facts about actual challenges |
Language Patterns
| # | Pattern | Before | After |
|---|---|---|---|
| 7 | AI vocabulary | "Additionally... testament... landscape... showcasing" | "also... remain common" |
| 8 | Copula avoidance | "serves as... features... boasts" | "is... has" |
| 9 | Negative parallelisms | "It's not just X, it's Y" | State the point directly |
| 10 | Rule of three | "innovation, inspiration, and insights" | Use natural number of items |
| 11 | Synonym cycling | "protagonist... main character... central figure... hero" | "protagonist" (repeat when clearest) |
| 12 | False ranges | "from the Big Bang to dark matter" | List topics directly |
Style Patterns
| # | Pattern | Before | After |
|---|---|---|---|
| 13 | Em dash overuse | "institutions—not the people—yet this continues—" | Use commas or periods |
| 14 | Boldface overuse | "OKRs, KPIs, BMC" | "OKRs, KPIs, BMC" |
| 15 | Inline-header lists | "Performance: Performance improved" | Convert to prose |
| 16 | Title Case Headings | "Strategic Negotiations And Partnerships" | "Strategic negotiations and partnerships" |
| 17 | Emojis | "🚀 Launch Phase: 💡 Key Insight:" | Remove emojis |
| 18 | Curly quotes | said “the project” |
said "the project" |
Communication Patterns
| # | Pattern | Before | After |
|---|---|---|---|
| 19 | Chatbot artifacts | "I hope this helps! Let me know if..." | Remove entirely |
| 20 | Cutoff disclaimers | "While details are limited in available sources..." | Find sources or remove |
| 21 | Sycophantic tone | "Great question! You're absolutely right!" | Respond directly |
Filler and Hedging
| # | Pattern | Before | After |
|---|---|---|---|
| 22 | Filler phrases | "In order to", "Due to the fact that" | "To", "Because" |
| 23 | Excessive hedging | "could potentially possibly" | "may" |
| 24 | Generic conclusions | "The future looks bright" | Specific plans or facts |
Full Example
Before (AI-sounding):
The new software update serves as a testament to the company's commitment to innovation. Moreover, it provides a seamless, intuitive, and powerful user experience—ensuring that users can accomplish their goals efficiently. It's not just an update, it's a revolution in how we think about productivity. Industry experts believe this will have a lasting impact on the entire sector, highlighting the company's pivotal role in the evolving technological landscape.
After (Humanized):
The software update adds batch processing, keyboard shortcuts, and offline mode. Early feedback from beta testers has been positive, with most reporting faster task completion.
References
- Wikipedia: Signs of AI writing - Primary source
- WikiProject AI Cleanup - Maintaining organization
Version History
- 2.1.1 - Fixed pattern #18 example (curly quotes vs straight quotes)
- 2.1.0 - Added before/after examples for all 24 patterns
- 2.0.0 - Complete rewrite based on raw Wikipedia article content
- 1.0.0 - Initial release
License
MIT