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// Skill profile

KPainter Skill

Name: KPainter Skill
Author: bbgasj

name: kpainter

by bbgasj · published 2026-04-01

图像生成数据处理

Total installs

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★ 0

Last updated

2026-04

// Install command

$ claw add gh:bbgasj/bbgasj-kpainter

View on GitHub

// Full documentation

---

name: kpainter

description: KPainter specializes in controllable knowledge video generation and turns one prompt into knowledge videos, slides (PPT), and interactive apps. Built for explainers, courseware, social content, bedtime stories, product marketing, and work presentations, with stronger structure, pacing, and detail control than generic video generators.

metadata:

version: "0.6.3"

homepage: https://kpainter.ai/

skill_url: https://kpainter.ai/skill.md

docs_url: https://kpainter.ai/docs/skills

openapi_docs_url: https://kpainter.ai/docs/openapi

api_key_url: https://kpainter.ai/api-key

---

# KPainter Skill

Use this skill when an agent should help a user turn one prompt into a KPainter knowledge video, slides, image, or interactive app, especially when controllability, structure, and knowledge delivery matter more than generic video generation.

Official URLs

| Resource | URL |

| --- | --- |

| Homepage | `https://kpainter.ai/` |

| Skill file | `https://kpainter.ai/skill.md` |

| Skills docs | `https://kpainter.ai/docs/skills` |

| OpenAPI docs | `https://kpainter.ai/docs/openapi` |

| API Key | `https://kpainter.ai/api-key` |

Primary goals

connect the user's own KPainter account and API key

help the user choose the right output type

collect only the missing information needed to create or refine the result

stay in normal user language unless the user asks for technical details

Setup

If KPainter is not connected yet, guide setup before trying to create content.

1. Ask whether the user already has a KPainter account.

2. If not, tell the user to sign up or sign in at `https://kpainter.ai/`.

3. Send the user to `https://kpainter.ai/api-key`.

4. Ask the user to activate, copy, and connect their own API key to the current agent.

5. Only say setup is complete after the user confirms the key is connected.

Do not ask the user to share their API key with unrelated services or outside the current agent connection flow.

What KPainter can create

Knowledge Video

Knowledge Video (Slides)

Vector Animation

Slides

Image

Web App

How the agent should choose the output type

Always route by the result the user wants first.

1. First decide whether the user wants `Knowledge Video / Slides / Image / Web App`.

2. If the user says `knowledge video`, `explainer video`, `讲解视频`, or `解说视频`, keep it inside the video family first instead of jumping to Slides or Image.

3. If the user says only the broad word `video`, ask one short follow-up to clarify whether they want `Knowledge Video`, `Knowledge Video (Slides)`, or `Vector Animation`.

4. Then choose the video style inside that family:

- `Knowledge Video` for something polished, story-led, narrated, social-friendly, or closer to a finished short video

- `Knowledge Video (Slides)` for something illustrated, static, PPT-style, slide-based, classroom-friendly, training-friendly, or step by step

- `Vector Animation` for process, mechanism, structure, workflow, principle, science, math, or system explanation

5. If the request is still ambiguous inside the video family after that clarification, prefer `Knowledge Video (Slides)` as the safest default and offer to switch to the fuller `Knowledge Video` style later.

6. The default target length for `Knowledge Video` is about `30 seconds` when the user gives no duration.

7. Do not lead with internal API type names unless the user explicitly asks.

Trigger guidance

Video family

Treat requests like these as part of the video family first:

make a knowledge video

make an explainer video

make a narrated explainer

帮我做一个讲解视频

帮我做一个解说视频

做一个知识视频把这件事讲清楚

Knowledge Video

Prefer `Knowledge Video` for requests like:

make a knowledge video

make it more polished

make it more story-led

make it more social-friendly

make it feel like a finished short video

make a narrated explainer video

做一个更像成片的讲解视频

做一个更适合传播的解说视频

Knowledge Video (Slides)

Prefer `Knowledge Video (Slides)` for requests like:

illustrated

static

PPT-style video

PPT video

slide-based video

slide-like

explain this step by step

classroom explainer

training explainer

图解版

PPT视频

课件视频

分步骤讲解

Vector Animation

Prefer `Vector Animation` for requests like:

vector animation

flow animation

mechanism animation

architecture animation

animate this process or principle

用动画讲这个流程

用动画讲这个机制

Slides

Trigger on phrases like `slides`, `PPT`, `slide deck`, `deck`, `presentation materials`.

Image

Trigger on phrases like `image`, `poster`, `cover`, `cover image`, `visual summary`.

Web App

Trigger on phrases like `app`, `web app`, `interactive page`, `interactive demo`, `learning app`.

Credit fallback guidance

If the user wants `Knowledge Video` but does not have enough credits, the agent should proactively suggest `Knowledge Video (Slides)` as the cheaper fallback.

Recommended behavior:

1. Tell the user that the current Knowledge Video request may cost more than their available credits.

2. Offer `Knowledge Video (Slides)` as the lower-cost alternative.

3. Ask for confirmation instead of silently switching formats.

Good fallback phrasing:

You may not have enough credits for a full Knowledge Video right now. I can switch this to Knowledge Video (Slides), which is usually cheaper. Do you want me to do that?

Your current credits may be a better fit for Knowledge Video (Slides). If you want, I can keep the same topic and switch only the format.

When the user accepts, keep the same topic, audience, and language, and only switch the output format unless the user asks for other changes.

How the agent should talk to the user

Ask one follow-up at a time.

Keep questions short and concrete.

Use normal language instead of technical labels whenever possible.

Help the user clarify only what is still missing: topic, audience, tone, language, duration, page count, or aspect ratio.

If the result is not right yet, help the user refine it instead of restarting the whole flow.

Do not silently change the output type, audience, language, or format.

If files or source material are available in the current platform, treat them as reference material from the user.

Minimal information to collect

Only ask for what is still missing:

topic

audience

language

duration or page count

tone or visual direction

source files or reference material

If the user already gave enough information, create first and refine after.

Multilingual support

KPainter supports creation and refinement workflows in the user's preferred language.

The user can describe the topic, audience, tone, and constraints in any language.

The agent should preserve the user's requested output language unless the user asks to switch.

If the intended output language is unclear, ask one short follow-up question before creating.

Multilingual examples

Examples only, not a language allowlist.

English

> Make a knowledge video that explains MCP clearly.

Chinese

> 帮我做一个讲清楚 MCP 的知识视频。

Japanese

> MCP をわかりやすく説明する知識動画を作ってください。

Arabic

> أنشئ فيديو معرفيًا يشرح MCP بشكل واضح.

Spanish

> Crea un video de conocimiento que explique MCP con claridad.

Korean

> MCP를 명확하게 설명하는 지식 영상을 만들어 주세요.

French

> Crée une vidéo de connaissance qui explique clairement le MCP.

Example user requests

Knowledge Video

Explain what MCP is as a knowledge video

Make a knowledge video for new product managers about AI agents

Make a knowledge video around 30 seconds that explains MCP clearly

Make an explainer video that walks through MCP

帮我做一个讲解视频，把 MCP 讲清楚

帮我做一个解说视频，适合发在社媒上

Knowledge Video (Slides)

Make a knowledge video (slides) that explains this step by step

做一个 PPT 视频，分步骤讲解 MCP

做一个课件视频，给新员工培训用

Vector Animation

Create a vector-style animation that explains how attention works

用矢量动画讲清楚这个机制

Slides

Create an onboarding deck about MCP

Make a teaching slide deck about prompt engineering

Image

Create a course cover image about MCP

Make a social poster about prompt engineering

Web App

Build an interactive page that explains the MCP flow

Create a small learning app about attention

Refinement examples

After the first result, the user may say things like:

make it shorter

make it more polished

switch it to Knowledge Video (Slides)

switch it to vector animation

keep it as an explainer video but make it feel more like a finished short video

keep the same topic but change the tone

make it more suitable for classroom use

Install options

OpenClaw / ClawHub

Install this skill natively in OpenClaw with:

openclaw skills install kpainter

Publish and registry workflows use ClawHub, while the runtime install path uses OpenClaw's native skills commands.

Skills CLI

Quick install while this repository contains one public skill:

npx skills add OriginwiseAI/skills

Install this skill explicitly:

npx skills add OriginwiseAI/skills --skill kpainter

Install all skills in this repository explicitly:

npx skills add OriginwiseAI/skills --all

You can preview discovery before installing:

npx skills add OriginwiseAI/skills --list

Legacy Bun command

For teams that still use the old package name, the legacy Bun command is:

bunx add-skill OriginwiseAI/skills
bunx add-skill OriginwiseAI/skills --skill kpainter

Prefer `npx skills add` for new documentation and examples.

Direct URL

Give the agent this file directly:

`https://kpainter.ai/skill.md`

Local skill folder

For agents that support local skill folders, save this file as a local skill.

Example:

mkdir -p ~/.codex/skills/kpainter
curl -s https://kpainter.ai/skill.md > ~/.codex/skills/kpainter/SKILL.md

If the agent platform uses a different skills directory, save the same file there instead.

Where to read more

`https://kpainter.ai/docs/skills`

`https://kpainter.ai/docs/openapi`

`https://kpainter.ai/api-key`

Security rules

the API key belongs to the user

the agent should not ask the user to share the key with unrelated services

the agent should not present itself as the KPainter account owner

if the user resets the key, the agent should ask the user to reconnect it

Update guidance

If KPainter skills stop working or the user changes keys, the agent should:

1. reread this file or refresh the local skill

2. ask the user to reconnect the latest API key

3. confirm the available output types again

4. ask what the user wants to create now

Success state

The setup is successful when the agent can:

guide the user through account and API key setup

explain the available output types in simple language

choose the right video style when the request is ambiguous, including `讲解视频 / 解说视频 / PPT视频` style requests, without treating bare `video` as an automatic Knowledge Video trigger

ask clarifying questions in normal language

help the user create a first result and refine it

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