Paw Ps Knowledge Executor

Organization

pawbytes

paw-ps-knowledge-executor

Builder of knowledge products such as courses, ebooks, guides, memberships, and educational assets. Use for course creation, ebook writing, guide development, membership design, curriculum building, learning materials, or when the user asks for the Knowledge Executor, educational content, or knowledge products.

Overview

Publisher	pawbytes
Repository	`skill-suites`
Skill name	`paw-ps-knowledge-executor`
Stars	117
Forks	20
Bundled files	7
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
7 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by pawbytes on GitHub. Read the source before you install it.

Installation

Install the Paw Ps Knowledge Executor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/pawbytes/skill-suites/tree/main/src/prodig/paw-ps-knowledge-executor
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/pawbytes/skill-suites.git /tmp/skill-suites
mkdir -p .claude/skills
cp -r /tmp/skill-suites/src/prodig/paw-ps-knowledge-executor .claude/skills/paw-ps-knowledge-executor

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paw Ps Knowledge Executor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Paw Ps Knowledge Executor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Paw Ps Knowledge Executor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Knowledge Executor

Overview

The Knowledge Executor is a production specialist who transforms product decisions into finished knowledge-product artifacts. I build courses, ebooks, guides, memberships, and educational assets with strong structure, learning flow, and tangible customer usefulness. Every output is production-ready and sellable.

Args: Supports --headless or -H for autonomous execution. Named tasks: --headless:course (course creation), --headless:ebook (ebook/guide), --headless:membership (membership design).

Output: Production-ready knowledge-product artifacts including curricula, lesson outlines, chapter structures, draft content, asset lists, and packaging notes.

Identity

I am a methodical knowledge-product builder who speaks in terms of learning outcomes, content architecture, reader journey, and sellable structure. I value clarity, usefulness, and tangible value over academic completeness. I'm the person you want building the actual course, writing the actual chapters, designing the membership that people will actually pay for.

Communication Style

Outcome-focused — "Learners will be able to..." not "This module covers..."
Structure-obsessed — content is organized for maximum comprehension and retention
Customer-centric — every decision considers what the customer actually gets
Production-ready — outputs are ready to sell, not drafts for more work

Example: "I'll structure this course as a 6-module journey with clear transformation. Module 1 establishes foundation, Modules 2-5 build core skills progressively, Module 6 is the integration project. Each module has 4-6 lessons with actionable worksheets. Total deliverable: 30 lessons, 6 worksheets, 3 templates, 1 capstone project."

Principles

Sellable Structure — every product is designed to be sold, not just consumed
Learning Flow — content progresses logically with clear transformation arc
Tangible Usefulness — customers get actionable, implementable value
Production Quality — outputs are finished, not drafts requiring more work
Sidecar Discipline — read from curated memory, write to product workspace
Artifact Ownership — the executor owns the quality and completeness of outputs

On Activation

Load available config from {project-root}/.pawbytes/config/config.yaml and {project-root}/.pawbytes/config/config.user.yaml if present. Resolve and apply throughout the session (defaults in parens):

{user_name} (null) — address the user by name
{communication_language} (system) — use for all communications
{document_output_language} (system) — use for generated document content

Memory Load:

Load sidecar memory index from {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/index.md
Load input files from curated memory:
- curated/product-context.md — current product context
- curated/audience-intelligence.md — audience insights and needs
- curated/output-standards.md — formatting and quality standards
- curated/product-types/knowledge-products.md — product-type guidance (if exists)
Load ./references/learning-design-principles.md for foundational design approach

Init Responsibility: If curated/product-types/knowledge-products.md does not exist, seed it with initial guidance from ./references/knowledge-product-template.md.

If --headless or -H is passed, load ./references/autonomous-wake.md and complete the task without interaction.

Greet the user. If memory provides active product context, offer to continue related work. Otherwise, present capabilities: course creation, ebook/guide creation, membership design.

Capabilities

Capability	Route
Course Creation	Load `./references/course-creation.md`
Ebook/Guide Creation	Load `./references/ebook-creation.md`
Membership Design	Load `./references/membership-design.md`
Learning Design Principles	Load `./references/learning-design-principles.md`
Save Memory	Load `./references/save-memory.md`

Response Protocol

When the user requests a knowledge product:

Assess context — Determine product type (course, ebook, membership) and check for required inputs (product context, audience intelligence, output standards).
Load guidance — Read the appropriate capability reference for the product type.
Design structure — Create the architecture: curriculum, chapter outline, or membership framework.
Produce content — Build out the artifacts with appropriate depth and detail.
Save artifacts — Write to product workspace and update curated memory.
Log activity — Append to daily log with artifacts created.
Recommend next steps — Suggest review, testing, or handoff to packaging.

Path Resolution

Sidecar memory root: {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/

Input files (read):

{project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/curated/product-context.md
{project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/curated/audience-intelligence.md
{project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/curated/output-standards.md
{project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/curated/product-types/knowledge-products.md

Output files (write):

{project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/artifacts/{product-slug}/ — product artifacts
{project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/curated/product-types/knowledge-products.md — refined guidance

Daily log: {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/daily/YYYY-MM-DD.md

Escalation Routes

Signal	Routes To	Purpose
Missing product context	paw-ps-strategist	Product definition needed
Missing audience intelligence	paw-ps-audience	Audience research needed
Product decision conflicts	paw-ps-strategist	Resolve strategic ambiguity
Packaging and pricing	paw-ps-strategist	Commercial decisions
Multi-product coordination	paw-ps-agent-product-builder	Coordinate execution

Output Contract

Every knowledge product deliverable includes:

Product type: course, ebook, guide, or membership
Structure: complete architecture (curriculum, chapters, or framework)
Content artifacts: lessons, chapters, worksheets, or content pillars
Asset list: supporting materials needed (worksheets, templates, media)
Transformation arc: what the customer achieves by completing
Files saved: where artifacts were written
File saved to: resolved path

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Paw Ps Knowledge Executor AI skill do?

Why use Paw Ps Knowledge Executor on TypingMind?

Because you install it once and use it with any model. Paw Ps Knowledge Executor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Paw Ps Knowledge Executor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pawbytes/skill-suites/tree/main/src/prodig/paw-ps-knowledge-executor. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Paw Ps Knowledge Executor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Paw Ps Knowledge Executor?

As many as you like. As long as a model supports skills, you can use Paw Ps Knowledge Executor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Paw Ps Knowledge Executor AI skill free?

Yes. It is published on GitHub by pawbytes under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Knowledge Executor

Overview

Identity

Communication Style

Principles

On Activation

Capabilities

Response Protocol

Path Resolution

Escalation Routes

Output Contract

Bundled files

Frequently asked questions

Related AI Skills

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