Agent skill

Humanize

by cwinvestments in cwinvestments/memstack

A skill your agent uses when the user says 'humanize', 'clean up writing', 'make it sound natural', or wants text to not sound AI-generated.

MITAuto-check passedWriting & Content

Install Humanize

skills CLI
$ npx skills add cwinvestments/memstack --skill humanize -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install cwinvestments/memstack humanize --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/cwinvestments/memstack.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/humanize .claude/skills/humanize && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
humanize
GitHub stars
423
Token cost
~1.2k tokens
SKILL.md length
547 words
Files
1
Skills in repo
87
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user says 'humanize', 'clean up writing', 'make it sound natural', or wants text to not sound AI-generated.

  • Works in 4 steps: Identify AI Patterns → Rewrite → Preserve → …
  • The user says humanize
  • SKILL.md covers Activation, Context Guard, Protocol and Inputs, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Humanize is an agent skill from cwinvestments/memstack. Use when the user says 'humanize', 'clean up writing', 'make it sound natural', or wants text to not sound AI-generated.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Writing & Content, covering Humanizing AI text. The repository describes itself as: Structured skill framework for Claude Code. 130 skills, persistent memory, TokenStack compression, localhost dashboard with 3-agent runner, real-time streaming, MCP tools. The licence is MIT.

When your agent uses it

  • The user says humanize
  • Clean up writing
  • Make it sound natural
  • Wants text to not sound AI-generated

Example prompts

  • “humanize”
  • “clean up writing”
  • “make it sound natural”
  • “/humanize”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Identify AI Patterns
  2. Rewrite
  3. Preserve
  4. Present

What it can do on your machine

Read from SKILL.md and the folder at commit 00370ce. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Humanize loads about 1.2k tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 547 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from cwinvestments/memstack at commit 00370ce, republished under its MIT licence (© cwinvestments). 547 words, ~1,175 tokens.

Download SKILL.mdSave it as .claude/skills/humanize/SKILL.md (or your agent's skills folder).
name
humanize
description
Use when the user says 'humanize', 'clean up writing', 'make it sound natural', or wants text to not sound AI-generated.
version
1.0.0

✍️ Humanize: Rewriting for Natural Voice...

Remove AI tells and rewrite content to sound like a human wrote it.

Activation

When this skill activates, output:

✍️ Humanize: Rewriting for natural voice...

Then execute the protocol below.

Context Guard

ContextStatusPriority
User says "humanize", "make it sound human/natural"ACTIVE: rewrite contentP1
User says "clean up this writing", "remove AI tone"ACTIVE: rewrite contentP1
User says "rewrite for blog/social/client"ACTIVE, rewrite with audience in mindP2
User is writing code or technical docs (API refs, JSDoc)DORMANT, technical writing is fine as-isnone
User is writing commit messages or changelogsDORMANT, these have their own formatnone

Protocol

Step 1: Identify AI Patterns

Scan the content for these common AI writing tells:

Words to eliminate or replace:

AI PatternReplace With
"delve", "delve into""explore", "look at", "dig into"
"leverage""use", "take advantage of"
"utilize""use"
"facilitate""help", "make easier"
"comprehensive"(often removable, or "thorough", "complete")
"robust""solid", "strong", "reliable"
"streamline""simplify", "speed up"
"moreover", "furthermore"(cut entirely or use "also", "and")
"it's important to note"(cut: just state the thing)
"in conclusion"(cut, the reader knows it's the end)
"in today's [X] landscape"(cut entirely)
"game-changer"(be specific about the benefit)
"navigate" (non-literal)"deal with", "handle", "work through"
"paradigm"(use a concrete noun instead)
"synergy""overlap", "combination", "fit"

Structural patterns to fix:

  • Excessive hedging: "It might be worth considering that perhaps..." → Just say the thing
  • Hollow transitions: "Now, let's turn our attention to..." → Cut, or use a heading
  • Overlong intros: "In the ever-evolving world of..." → Start with the point
  • Bullet-point-itis: Every section as bullets → Mix in short paragraphs
  • Triple emphasis: "truly remarkable and incredibly powerful" → Pick one adjective
  • Sycophantic openings: "Great question!" → Don't; just answer
  • Unnecessary qualifiers: "very", "really", "quite", "rather" → Usually cuttable
Show full SKILL.md (254 more words)Show less
Step 2: Rewrite

Apply these principles:

  1. Lead with the point: Don't build up to it
  2. Shorter sentences: If a sentence has a comma and an "and", consider splitting it
  3. Active voice: "The team built X" not "X was built by the team"
  4. Concrete over abstract: Specific examples beat general claims
  5. Vary rhythm: Mix short punchy sentences with longer ones. Not all the same length.
  6. Cut the filler: If removing a word doesn't change the meaning, remove it
  7. Read it aloud: If it sounds like a press release, rewrite it
Step 3: Preserve

Do NOT change:

  • Technical accuracy or meaning
  • Code examples or technical terms
  • Proper nouns, brand names, acronyms
  • Intentional formatting (headings, lists where appropriate)
  • The author's actual opinions or arguments
Step 4: Present

Show the rewritten version. If the changes are substantial, briefly note what was changed:

  • "Removed hedging and filler from intro"
  • "Replaced passive voice throughout"
  • "Cut 40%: mostly redundant transitions"

Inputs

  • Text content to humanize (from user's prompt, clipboard, or a file)
  • Optional: target audience (blog readers, clients, social media)

Outputs

  • Rewritten content with AI patterns removed
  • Brief summary of changes made

Example Usage

User: "Humanize this paragraph"

In today's rapidly evolving digital landscape, it's important to note that leveraging comprehensive AI solutions can facilitate robust workflow optimization. Moreover, these game-changing tools enable organizations to navigate complex challenges and streamline their operations.

✍️ Humanize: Rewriting for natural voice...

AI tools speed up your workflow. They handle the repetitive stuff so your
team can focus on work that actually matters.

Changes: Cut filler intro, replaced "leverage/facilitate/robust/streamline"
with plain language, removed empty transitions, reduced from 41 words to 22.

Level History

  • Lv.1: Base: AI pattern detection and rewrite protocol. Curated replacement table, structural fixes, voice guidelines. (Origin: MemStack v3.1, Feb 2026)

© cwinvestments, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/humanize of cwinvestments/memstack.

Open the folder on GitHubat commit 00370ce

Compare with similar skills

Humanize next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Humanize compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Humanize this skillcwinvestments/memstack423—~1.2kAutomated safety check: PassMIT
HumanizerAzure-Samples/interview-coach-agent-framework17237 repos~5.8kAutomated safety check: PassMIT
Avoid AI Writingconorbronsdon/avoid-ai-writing4.9k3 repos~8.1kAutomated safety check: PassMIT
User-Facing Text Cleanupguillaumemeyer/watermarks-remover24k—~3.5kAutomated safety check: PassMIT
Install Anti Sloptrycompai/crm11k1 repos~881Automated safety check: PassMIT
Stop SlopXe/site7328 repos~423Automated safety check: PassMIT

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Questions about Humanize

What does Humanize do?

A skill your agent uses when the user says 'humanize', 'clean up writing', 'make it sound natural', or wants text to not sound AI-generated. Humanize is an agent skill from cwinvestments/memstack. Use when the user says 'humanize', 'clean up writing', 'make it sound natural', or wants text to not sound AI-generated.

When should I use Humanize?

Humanize fits situations like: the user says humanize; clean up writing; make it sound natural; wants text to not sound AI-generated.

How do I install Humanize in Claude Code?

Run `npx skills add cwinvestments/memstack --skill humanize -a claude-code`. Or copy the skill folder (skills/humanize in cwinvestments/memstack) into .claude/skills/humanize in your project. Claude Code loads it when a task matches its description.

How do I install Humanize in Codex?

Run `npx skills add cwinvestments/memstack --skill humanize -a codex`. Or copy the skill folder (skills/humanize in cwinvestments/memstack) into .agents/skills/humanize in your project. Codex loads it when a task matches its description.

Can I use Humanize in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cwinvestments/memstack --skill humanize -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/humanize, .gemini/skills/humanize, .github/skills/humanize and .opencode/skills/humanize in your project.

What does Humanize need to run?

SKILL.md names no scripts, command-line tools or credentials: Humanize is instructions for the agent only.

Does Humanize access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Humanize safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Humanize use?

Humanize is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Humanize use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Humanize?

Skills that share tags, products or a category with Humanize: Humanizer (Azure-Samples/interview-coach-agent-framework, 172 stars), Avoid AI Writing (conorbronsdon/avoid-ai-writing, 4.9k stars), User-Facing Text Cleanup (guillaumemeyer/watermarks-remover, 24k stars) and Install Anti Slop (trycompai/crm, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Humanize?

cwinvestments (a GitHub user) maintains it in cwinvestments/memstack, which has 423 GitHub stars. The repository holds 87 skills in this directory. The repository was last updated on September 26, 2026.

Source: cwinvestments/memstack on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.