Agent skill

Humanize Ppt

by infometa in infometa/workbuddyskills

AST-based outline director for human-centered AI presentation workflows.

MITAuto-check passedDocuments & Office

Install Humanize Ppt

skills CLI
$ npx skills add infometa/workbuddyskills --skill humanize-ppt -a claude-code

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

GitHub CLI
$ gh skill install infometa/workbuddyskills humanize-ppt --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/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experts/humanize-ppt-team/skills/humanize-ppt .claude/skills/humanize-ppt && 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-ppt
GitHub stars
344
Token cost
~908 tokens
SKILL.md length
386 words
Files
54 (incl. scripts, references)
Skills in repo
212
Repo updated
First seen
Licence
MIT

At a glance

AST-based outline director for human-centered AI presentation workflows.

  • Works in 6 steps: deck_brief.md — audience, goal, tension,… → ast_outline.md — AST map and narrative… → slide_plan.json — slide-by-slide plan. → …
  • Tasks that involve Humanizing AI text
  • SKILL.md covers Positioning, AST theory, Required output contract and Recommended OPC workflow, plus 3 more sections
  • Calls python3

What it does

Humanize Ppt is an agent skill from infometa/workbuddyskills. AST-based outline director for human-centered AI presentation workflows. Use before generating PPT/HTML slides from raw material.

Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 56 other files, including scripts and reference files (for example `README.en.md`, `README.md` and `adapters/guizang-bridge-notes.md`).

It sits in Documents & Office, covering Humanizing AI text and Slides and decks. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study. The licence is MIT.

When your agent uses it

  • Tasks that involve Humanizing AI text
  • Tasks that involve Slides and decks

Example prompts

  • “/humanize-ppt”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. deck_brief.md — audience, goal, tension, success criteria.
  2. ast_outline.md — AST map and narrative arc.
  3. slide_plan.json — slide-by-slide plan.
  4. speaker_intent.md — what the speaker should do on each slide.
  5. asset_manifest.md — screenshots, charts, images, video needs.
  6. video_slots.json — optional HyperFrames / video insertion plan.

What it can do on your machine

Read from SKILL.md and the folder at commit 75a5ad9. 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

    Ships 1 file in scripts/, which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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 Ppt loads about 908 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 386 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~908
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.7k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from infometa/workbuddyskills at commit 75a5ad9, republished under its MIT licence (© infometa). 386 words, ~908 tokens.

Download SKILL.mdSave it as .claude/skills/humanize-ppt/SKILL.md (or your agent's skills folder). This skill also uses 53 other files; get the full folder from GitHub.
name
humanize-ppt
description
AST-based outline director for human-centered AI presentation workflows. Use before generating PPT/HTML slides from raw material.
version
0.1.0
author
LearnPrompt
license
MIT
metadata.tags
presentation, ppt, html-slides, humanizer, ast, workflow

Humanize PPT

Use this skill when a user wants to turn raw material, notes, voice transcripts, documents, links, or old PPTs into a presentation-ready outline before rendering slides.

Positioning

Humanize PPT is an Outline Director and Agent Teams Orchestrator, not a slide renderer.

It should run before downstream PPT / HTML slide skills. Its job is to produce a clean AST-based production brief so renderers do not ingest raw noisy material directly.

In Agent Teams mode, the main Humanize PPT Agent loads this skill and controls specialist agents:

  • Guizang Agent for Chinese stable rendering.
  • Zara Agent for style exploration, HTML production, and deploy.
  • HyperFrames Agent for video slots.
  • Presenter Agent for presenter mode after the deck is finalized.
  • QA Agent for content, visual, path, and delivery checks.

AST theory

AST means Audience-State-Transfer.

  • Audience: who is listening, what they know, what they resist, and why they would keep listening.
  • State: the audience state before and after the deck, plus the core tension that blocks the transition.
  • Transfer: the slide-by-slide path that moves the audience from initial state to desired state.

Core sentence:

PPT is not an information container. PPT is an audience state-transfer artifact.

Required output contract

For every Humanize PPT run, produce:

  1. deck_brief.md — audience, goal, tension, success criteria.
  2. ast_outline.md — AST map and narrative arc.
  3. slide_plan.json — slide-by-slide plan.
  4. speaker_intent.md — what the speaker should do on each slide.
  5. asset_manifest.md — screenshots, charts, images, video needs.
  6. video_slots.json — optional HyperFrames / video insertion plan.
Show full SKILL.md (143 more words)Show less
text
O — Outline Director
  Humanize PPT: raw material → AST outline + production brief

P — Presentation Production
  guizang path: Chinese stable HTML PPT
  Zara path: style exploration and HTML production

C — Complete / Control
  HyperFrames video adapter
  Presenter Adapter shell
  Deploy / export adapter
  QA checklist

Rules

  1. Do not let slide renderers consume raw material directly when Humanize PPT can first produce the AST contract.
  2. Keep presenter mode as a post-processing adapter, not a style.
  3. Separate deployment from presenter mode.
  4. Absorb AI-writing cleanup principles from humanizer tools, but do not reduce Humanize PPT to text polishing.
  5. Prefer a small verified workflow over a broad unverified promise.
  6. For public Skill releases, create/push the repo, install from GitHub locally, run one safe full sample, verify style exploration + presenter mode + deploy URL, and only then polish README details.
  7. For Agent Teams development, emit router_plan.json, run_manifest.json, bounded commands/*.md, and separate outputs/<agent>/ directories before wiring real downstream Skills.

Operational references

  • references/agent-teams-public-preview.md — Agent Teams architecture, specialist-agent command protocol, public preview release loop, and README split convention.

Local demo

If this repository is installed locally, run:

bash
python3 scripts/humanize_ppt_v1.py \
  --source examples/01-ai-tool-update/source.md \
  --out .humanize-ppt-runs/ai-tool-update \
  --title "AI 工具更新,不只是功能清单"

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

Files

SKILL.md and 53 other files (scripts, references) in experts/humanize-ppt-team/skills/humanize-ppt of infometa/workbuddyskills.

  • SKILL.md
  • .gitignore
  • LICENSE
  • README.en.md
  • README.md
  • adapters/guizang-bridge-notes.md
  • adapters/presenter-adapter-spec.md
  • adapters/zara-bridge-notes.md
  • contracts/asset-manifest.template.md
  • contracts/ast-outline.schema.md
  • contracts/deck-brief.template.md
  • contracts/slide-plan.schema.json
  • contracts/speaker-intent.template.md
  • contracts/video-slots.schema.json
  • docs/AST-theory.md
  • docs/OPC-workflow.md
  • docs/agent-teams.md
  • docs/demo
  • … and 36 more

Open the folder on GitHubat commit 75a5ad9

Compare with similar skills

Humanize Ppt 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 Ppt compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Humanize Ppt this skillinfometa/workbuddyskills344—~908Automated safety check: PassMIT
Ig Caption Writersergebulaev/instagram-skills3081 repos~1.7kAutomated safety check: PassMIT
Ig Humanizersergebulaev/instagram-skills308—~4kAutomated safety check: PassMIT
Human Reviewpetergyang/human-review1.4k—~2.1kAutomated safety check: PassMIT
Persian Writingali2000hos/persian-writing361—~4.4kAutomated safety check: WarnMIT
Hermes3000 WritingHybridAIOne/hybridclaw158—~2.7kAutomated safety check: PassMIT

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Questions about Humanize Ppt

What does Humanize Ppt do?

AST-based outline director for human-centered AI presentation workflows. Humanize Ppt is an agent skill from infometa/workbuddyskills. AST-based outline director for human-centered AI presentation workflows.

When should I use Humanize Ppt?

Humanize Ppt fits situations like: tasks that involve Humanizing AI text; tasks that involve Slides and decks.

How do I install Humanize Ppt in Claude Code?

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

How do I install Humanize Ppt in Codex?

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

Can I use Humanize Ppt 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 infometa/workbuddyskills --skill humanize-ppt -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-ppt, .gemini/skills/humanize-ppt, .github/skills/humanize-ppt and .opencode/skills/humanize-ppt in your project.

What does Humanize Ppt need to run?

Going by SKILL.md and its folder, Humanize Ppt needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Humanize Ppt 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 Ppt 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Humanize Ppt use?

Humanize Ppt is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Humanize Ppt use?

About 908 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 747 tokens, read only when the agent opens those files.

What are the alternatives to Humanize Ppt?

Skills that share tags, products or a category with Humanize Ppt: Ig Caption Writer (sergebulaev/instagram-skills, 308 stars), Ig Humanizer (sergebulaev/instagram-skills, 308 stars), Human Review (petergyang/human-review, 1.4k stars) and Persian Writing (ali2000hos/persian-writing, 361 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Humanize Ppt?

infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 344 GitHub stars. The repository holds 212 skills in this directory. The repository was last updated on October 7, 2026.

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