Agent skill

Paw Ps Knowledge Executor

by pawbytes in pawbytes/skill-suites

Builder of knowledge products such as courses, ebooks, guides, memberships, and educational assets.

MITAuto-check passedDocuments & Office

Install Paw Ps Knowledge Executor

skills CLI
$ npx skills add pawbytes/skill-suites --skill paw-ps-knowledge-executor -a claude-code

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

GitHub CLI
$ gh skill install pawbytes/skill-suites paw-ps-knowledge-executor --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/pawbytes/skill-suites.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/prodig/paw-ps-knowledge-executor .claude/skills/paw-ps-knowledge-executor && 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
paw-ps-knowledge-executor
GitHub stars
110
Token cost
~1.8k tokens
SKILL.md length
651 words
Files
8 (incl. references)
Skills in repo
71
Repo updated
First seen
Licence
MIT

At a glance

Builder of knowledge products such as courses, ebooks, guides, memberships, and educational assets.

  • Works in 3 steps: Load sidecar memory index from… → Load input files from curated memory → Load…
  • Course creation
  • SKILL.md covers Overview, Identity, Communication Style and Principles, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Paw Ps Knowledge Executor is an agent skill from pawbytes/skill-suites. 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.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `references/autonomous-wake.md`, `references/course-creation.md` and `references/ebook-creation.md`).

It sits in Documents & Office, covering Curriculum and course design and Educational content. The repository describes itself as: 50+ AI agent skills for Claude, Codex, OpenClaw etc — agentic marketing automation, AI creative agency, and developer productivity tools. The licence is MIT.

When your agent uses it

  • Course creation
  • Guide development
  • Membership design
  • Curriculum building

Example prompts

  • “/paw-ps-knowledge-executor”

Workflow steps

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

  1. Load sidecar memory index from {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/index.md
  2. Load input files from curated memory
  3. Load ./references/learning-design-principles.md for foundational design approach

What it can do on your machine

Read from SKILL.md and the folder at commit 547a6df. 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

Paw Ps Knowledge Executor loads about 1.8k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 651 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~12k

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 pawbytes/skill-suites at commit 547a6df, republished under its MIT licence (© pawbytes). 651 words, ~1,770 tokens.

Download SKILL.mdSave it as .claude/skills/paw-ps-knowledge-executor/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
paw-ps-knowledge-executor
description
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.

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:

  1. Load sidecar memory index from {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/index.md
  2. 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)
  3. 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.

Show full SKILL.md (240 more words)Show less

Capabilities

CapabilityRoute
Course CreationLoad ./references/course-creation.md
Ebook/Guide CreationLoad ./references/ebook-creation.md
Membership DesignLoad ./references/membership-design.md
Learning Design PrinciplesLoad ./references/learning-design-principles.md
Save MemoryLoad ./references/save-memory.md

Response Protocol

When the user requests a knowledge product:

  1. Assess context — Determine product type (course, ebook, membership) and check for required inputs (product context, audience intelligence, output standards).
  2. Load guidance — Read the appropriate capability reference for the product type.
  3. Design structure — Create the architecture: curriculum, chapter outline, or membership framework.
  4. Produce content — Build out the artifacts with appropriate depth and detail.
  5. Save artifacts — Write to product workspace and update curated memory.
  6. Log activity — Append to daily log with artifacts created.
  7. 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

SignalRoutes ToPurpose
Missing product contextpaw-ps-strategistProduct definition needed
Missing audience intelligencepaw-ps-audienceAudience research needed
Product decision conflictspaw-ps-strategistResolve strategic ambiguity
Packaging and pricingpaw-ps-strategistCommercial decisions
Multi-product coordinationpaw-ps-agent-product-builderCoordinate 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

© pawbytes, 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 7 other files (references) in src/prodig/paw-ps-knowledge-executor of pawbytes/skill-suites.

  • SKILL.md
  • references/autonomous-wake.md
  • references/course-creation.md
  • references/ebook-creation.md
  • references/knowledge-product-template.md
  • references/learning-design-principles.md
  • references/membership-design.md
  • references/save-memory.md

Open the folder on GitHubat commit 547a6df

Compare with similar skills

Paw Ps Knowledge Executor 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.

Paw Ps Knowledge Executor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Paw Ps Knowledge Executor this skillpawbytes/skill-suites110—~1.8kAutomated safety check: PassMIT
Curriculum PlannerTHU-MAIC/OpenMAIC40k—~2.8kAutomated safety check: PassMIT
Deep Interactive Course DesignTHU-MAIC/OpenMAIC40k—~681Automated safety check: PassMIT
Document Generationbionic-gpt/bionic-gpt2.4k—~1.1kAutomated safety check: PassApache-2.0
Excel Unmerge Before WriteHKUDS/OpenSpace7.7k—~820Automated safety check: PassMIT
Coverage AuditGarethManning/education-agent-skills830—~4.4kAutomated safety check: PassCustom licence

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Questions about Paw Ps Knowledge Executor

What does Paw Ps Knowledge Executor do?

Builder of knowledge products such as courses, ebooks, guides, memberships, and educational assets. Paw Ps Knowledge Executor is an agent skill from pawbytes/skill-suites. Builder of knowledge products such as courses, ebooks, guides, memberships, and educational assets.

When should I use Paw Ps Knowledge Executor?

Paw Ps Knowledge Executor fits situations like: course creation; guide development; membership design; curriculum building.

How do I install Paw Ps Knowledge Executor in Claude Code?

Run `npx skills add pawbytes/skill-suites --skill paw-ps-knowledge-executor -a claude-code`. Or copy the skill folder (src/prodig/paw-ps-knowledge-executor in pawbytes/skill-suites) into .claude/skills/paw-ps-knowledge-executor in your project. Claude Code loads it when a task matches its description.

How do I install Paw Ps Knowledge Executor in Codex?

Run `npx skills add pawbytes/skill-suites --skill paw-ps-knowledge-executor -a codex`. Or copy the skill folder (src/prodig/paw-ps-knowledge-executor in pawbytes/skill-suites) into .agents/skills/paw-ps-knowledge-executor in your project. Codex loads it when a task matches its description.

Can I use Paw Ps Knowledge Executor 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 pawbytes/skill-suites --skill paw-ps-knowledge-executor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paw-ps-knowledge-executor, .gemini/skills/paw-ps-knowledge-executor, .github/skills/paw-ps-knowledge-executor and .opencode/skills/paw-ps-knowledge-executor in your project.

What does Paw Ps Knowledge Executor need to run?

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

Does Paw Ps Knowledge Executor 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 Paw Ps Knowledge Executor 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 Paw Ps Knowledge Executor use?

Paw Ps Knowledge Executor 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 Paw Ps Knowledge Executor use?

About 1.8k tokens (SKILL.md is roughly 7.1k 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 10k tokens, read only when the agent opens those files.

What are the alternatives to Paw Ps Knowledge Executor?

Skills that share tags, products or a category with Paw Ps Knowledge Executor: Curriculum Planner (THU-MAIC/OpenMAIC, 40k stars), Deep Interactive Course Design (THU-MAIC/OpenMAIC, 40k stars), Document Generation (bionic-gpt/bionic-gpt, 2.4k stars) and Excel Unmerge Before Write (HKUDS/OpenSpace, 7.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Paw Ps Knowledge Executor?

pawbytes (a GitHub organization) maintains it in pawbytes/skill-suites, which has 110 GitHub stars. The repository holds 71 skills in this directory. The repository was last updated on October 3, 2026.

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