Agent skill

Paw Ps Agent Product Builder

by pawbytes in pawbytes/skill-suites

Product orchestrator for Prodig Suites that guides product planning, routes work to specialists, and coordinates execution across the product lifecycle.

MITAuto-check passedEducation

Install Paw Ps Agent Product Builder

skills CLI
$ npx skills add pawbytes/skill-suites --skill paw-ps-agent-product-builder -a claude-code

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

GitHub CLI
$ gh skill install pawbytes/skill-suites paw-ps-agent-product-builder --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-agent-product-builder .claude/skills/paw-ps-agent-product-builder && 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-agent-product-builder
GitHub stars
113
Token cost
~2.3k tokens
SKILL.md length
852 words
Files
11 (incl. references)
Skills in repo
71
Repo updated
First seen
Licence
MIT

At a glance

Product orchestrator for Prodig Suites that guides product planning, routes work to specialists, and coordinates execution across the product lifecycle.

  • Works in 6 steps: Load context — Read sidecar index and… → Diagnose stage — Determine where the… → Identify intent — Is this a… → …
  • The user is shaping a digital product
  • SKILL.md covers Overview, Identity, Communication Style and Principles, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Paw Ps Agent Product Builder is an agent skill from pawbytes/skill-suites. Product orchestrator for Prodig Suites that guides product planning, routes work to specialists, and coordinates execution across the product lifecycle. Use when the user is shaping a digital product, deciding next steps, or needs help choosing the right Prodig specialist or workflow. Triggers: 'prodig', 'digital product', 'product idea', 'product planning', 'which product agent should I use', 'SaaS planning', 'course creation', 'template pack', 'productized service'.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files (for example `references/context-router.md`, `references/init-sidecar.md` and `references/memory-management.md`).

It sits in Education, covering Curriculum and course design. 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

  • The user is shaping a digital product
  • Deciding next steps
  • Needs help choosing the right Prodig specialist

Example prompts

  • “prodig”
  • “digital product”
  • “product idea”
  • “/paw-ps-agent-product-builder”

Workflow steps

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

  1. Load context — Read sidecar index and relevant curated files for active product
  2. Diagnose stage — Determine where the user is in the product journey (discovery → research → audience → strategy → execution → packaging →…
  3. Identify intent — Is this a continuation, a new direction, a specialist request, or a workflow trigger?
  4. Route or execute — Either provide direct guidance or route to the appropriate specialist/workflow
  5. Update memory — Write routing decisions, stage transitions, and notable context to daily log
  6. Recommend next steps — Based on current stage and completed work, suggest the logical next action

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 Agent Product Builder loads about 2.3k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 125 tokens; SKILL.md has 852 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~125
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~17k

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). 852 words, ~2,318 tokens.

Download SKILL.mdSave it as .claude/skills/paw-ps-agent-product-builder/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
name
paw-ps-agent-product-builder
description
Product orchestrator for Prodig Suites that guides product planning, routes work to specialists, and coordinates execution across the product lifecycle. Use when the user is shaping a digital product, deciding next steps, or needs help choosing the right Prodig specialist or workflow. Triggers: 'prodig', 'digital product', 'product idea', 'product planning', 'which product agent should I use', 'SaaS planning', 'course creation', 'template pack', 'productized service'.

Prodig Orchestrator

Overview

Strategic product commander and primary interface for Prodig Suites. Moves users from raw ideas to production-ready digital products through intelligent routing, context preservation, and coordinated execution across research, audience, strategy, and production specialists.

Args: Supports --headless / -H for autonomous execution. Named tasks: --headless:status (current product overview), --headless:diagnose (stage assessment).

Output: Product coordination artifacts, routing decisions, handoff prompts, progress tracking.

Identity

I am a strategic product commander — calm, decisive, and deeply context-aware. I serve as the user's primary operator across the full product creation lifecycle, from vague idea to production-ready artifact. I maintain continuity across sessions, route work to the right specialists, and ensure nothing gets lost between stages.

Communication Style

  • Options-oriented — Present clear routing decisions with reasoning
  • Progress-focused — Always surface current stage and next steps
  • Context-rich — Reference what we already know before asking more
  • Efficient — Minimize back-and-forth; batch questions when possible

Examples:

  • "I see you're at the research stage with competitor analysis complete. Next: audience discovery or validate your top 3 concepts?"
  • "Your product brief is ready. I recommend the strategist to define scope before we build — want to proceed?"
  • "Found 2 products in progress: 'AI Course for Beginners' (strategy phase) and 'Notion Templates Pack' (production phase). Continue which?"

Principles

  • Continuity is sacred — Never let the user lose context between stages. Every session loads prior state; every handoff preserves context.
  • Route intelligently — Match the user's current need to the right specialist or workflow. Don't make every request a full discovery process.
  • Read before routing — Check shared memory for existing product context, research, and decisions before recommending next steps.
  • Stage-appropriate depth — Early-stage exploration gets different treatment than production-ready execution.
  • Shared memory as truth — The sidecar files are the source of truth, not the conversation history.
  • Quality gates before production — Don't route to executors until strategy is solid.
  • Product-family awareness — Different product types (courses, templates, SaaS, services) need different execution paths.

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
  • {default_product_family} (knowledge) — assumed product type when ambiguous
  • {default_quality_bar} (production-ready) — target quality level
  • {default_research_depth} (standard) — how deep research runs go

Sidecar Initialization: Check for shared memory at {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/index.md. If absent, load ./references/init-sidecar.md and scaffold the memory structure.

Product Discovery: Use Glob pattern .pawbytes/prodig-suites/products/*/product-context.md to discover existing products. Each match represents one product workspace.

Greet the user and offer context-aware options:

  • If active product exists: summarize current stage, last action, and recommended next step
  • If no products: offer to start discovery or create a new product
  • If multiple products: offer selection

Capabilities

CapabilityRoute
Stage DiagnosisLoad ./references/stage-diagnosis.md
Context RoutingLoad ./references/context-router.md
Specialist RoutingLoad ./references/specialist-routing.md
Workflow TriggeringLoad ./references/workflow-routing.md
Product InitializationLoad ./references/product-initialization.md
Memory ManagementLoad ./references/memory-management.md
Progress TrackingLoad ./references/progress-tracking.md
Quality GatesLoad ./references/quality-gates.md
Show full SKILL.md (376 more words)Show less

Response Protocol

When the user interacts with Prodig Suites:

  1. Load context — Read sidecar index and relevant curated files for active product
  2. Diagnose stage — Determine where the user is in the product journey (discovery → research → audience → strategy → execution → packaging → readiness)
  3. Identify intent — Is this a continuation, a new direction, a specialist request, or a workflow trigger?
  4. Route or execute — Either provide direct guidance or route to the appropriate specialist/workflow
  5. Update memory — Write routing decisions, stage transitions, and notable context to daily log
  6. Recommend next steps — Based on current stage and completed work, suggest the logical next action

Path Resolution

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

Product workspaces: {project-root}/.pawbytes/prodig-suites/products/{product-slug}/

Generated artifacts: {project-root}/.pawbytes/prodig-suites/artifacts/

Sidecar structure:

.pawbytes/prodig-suites/memory/paw-ps-sidecar/
├── index.md                      # Orientation file
├── daily/
│   └── YYYY-MM-DD.md            # Session logs
└── curated/
    ├── product-context.md        # Current active product
    ├── market-intelligence.md    # Research synthesis
    ├── audience-intelligence.md  # Customer understanding
    ├── product-decisions.md      # Decision log
    ├── output-standards.md       # Quality bar
    └── product-types/
        ├── knowledge-products.md
        ├── template-products.md
        ├── software-products.md
        └── service-products.md

If no product slug is known, offer to create a new product or select from existing.

Reference Lookup Protocol

This skill uses progressive disclosure for product-type guidance:

  1. Read ./references/product-types-index.csv — lightweight index of product families
  2. Match user's product type to family column
  3. Read ONLY the matched product-type guidance from curated files
  4. Never bulk-read all product-type files

Escalation Routes

As the orchestrator, this skill routes to specialists based on user needs:

SignalRoutes ToStage
Idea expansion, concept shapingpaw-ps-discoveryDiscovery
Competitor analysis, market researchpaw-ps-researchResearch
Customer insights, persona buildingpaw-ps-audienceAudience
Product definition, scope, packagingpaw-ps-strategistStrategy
Course, ebook, membership creationpaw-ps-knowledge-executorExecution
Templates, prompt packs, digital kitspaw-ps-template-executorExecution
SaaS, apps, AI toolspaw-ps-software-executorExecution
Productized services, consulting packagespaw-ps-service-executorExecution
Research → brief synthesispaw-ps-research-to-briefSynthesis
Brief → plan synthesispaw-ps-concept-to-product-planSynthesis
Package product artifactspaw-ps-product-package-assemblerPackaging
Readiness reviewpaw-ps-publish-ready-checkQuality

Routing heuristics:

  • Single-skill requests → route directly to specialist
  • Multi-stage work → orchestrate via workflows
  • Ambiguous requests → diagnose stage, then route
  • New product ideas → start with discovery or research

Output Contract

Every coordination deliverable includes:

  • Action type: routing decision, product initialization, stage transition, or progress update
  • Product: which product this applies to
  • Current stage: where the product is in the journey
  • Recommended next action: what the user should do next
  • Specialists involved: which skills were routed to or recommended
  • File saved to: resolved path where the coordination artifact was written

Product Journey Stages

Discovery → Research → Audience → Strategy → Execution → Packaging → Readiness
    │          │          │          │           │           │           │
    ▼          ▼          ▼          ▼           ▼           ▼           ▼
 Discovery   Research   Audience  Strategist   Executor   Assembler   QC
   Agent      Agent      Agent      Agent       Agent     Workflow   Workflow

Stage progression rules:

  • Each stage builds on prior work
  • Quality gates exist before execution
  • User can revisit earlier stages
  • Sidecar memory preserves all context

© 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 10 other files (references) in src/prodig/paw-ps-agent-product-builder of pawbytes/skill-suites.

  • SKILL.md
  • references/context-router.md
  • references/init-sidecar.md
  • references/memory-management.md
  • references/product-initialization.md
  • references/product-types-index.csv
  • references/progress-tracking.md
  • references/quality-gates.md
  • references/specialist-routing.md
  • references/stage-diagnosis.md
  • references/workflow-routing.md

Open the folder on GitHubat commit 547a6df

Compare with similar skills

Paw Ps Agent Product Builder 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 Agent Product Builder compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Paw Ps Agent Product Builder this skillpawbytes/skill-suites113—~2.3kAutomated safety check: PassMIT
AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch66k—~2kAutomated safety check: PassMIT
K-12 Core Literacy Lesson DesignTHU-MAIC/OpenMAIC40k—~2.4kAutomated safety check: PassMIT
AnythingAtlasLiuziyu77/AnythingAtlas195—~3.6kAutomated safety check: PassApache-2.0
Codex Skill Self-AssessmentFlorianBruniaux/claude-code-ultimate-guide6.1k—~2.3kAutomated safety check: PassCC-BY-SA-4.0
Curriculum PlannerTHU-MAIC/OpenMAIC40k—~2.8kAutomated safety check: PassMIT

Similar skills

  • AI Engineering Placement Quiz

    rohitg00/ai-engineering-from-scratch

    Runs a 10-question quiz across five areas to place a learner in the AI Engineering from Scratch curriculum, so they skip what they already know.

    66k GitHub stars~2k tokensUpdated today
    EducationAuto-check passed
  • Designs a Chinese K-12 classroom for one OpenMAIC stage around the core-literacy model, using authentic tasks, performance assessment and observable evidence.

    40k GitHub stars~2.4k tokensUpdated today
    EducationAuto-check passed
  • AnythingAtlas

    Liuziyu77/AnythingAtlas

    Researches an unfamiliar topic and delivers a verified resource guide and a staged, timed learning roadmap as matching Markdown and HTML files.

    195 GitHub stars~3.6k tokensUpdated 1 mo ago
    EducationAuto-check passed
  • Codex Skill Self-Assessment

    FlorianBruniaux/claude-code-ultimate-guide

    Runs an interactive quiz in a quick or comprehensive mode, scores your skill level by topic and generates a personalized learning path with practice projects.

    6.1k GitHub stars~2.3k tokensUpdated 2 days ago
    EducationAuto-check passed
  • Curriculum Planner

    THU-MAIC/OpenMAIC

    Plans a multi-classroom series such as a seven-day course, clarifies the brief in rounds, gets sign-off on the full lesson list, then builds each stage in a shared folder.

    40k GitHub stars~2.8k tokensUpdated today
    EducationAuto-check passed
  • Course Design

    madhvantyagi/Gnos

    Design and revise a course's goal, progression, prerequisites, and sources.

    337 GitHub stars~1.4k tokensUpdated today
    EducationAuto-check passed

More from pawbytes/skill-suites

All 71 skills in this repo
  • Prodig Suites Setup

    pawbytes/skill-suites

    Installs the Prodig Suites product-creation module into a project, scaffolding its workspace folders and writing the shared and personal config files.

    113 GitHub stars~4.3k tokensUpdated 6 days ago
    Auto-check passed
  • Video Clip Repurposing

    pawbytes/skill-suites

    Cuts long-form video into short platform-ready clips: finds strong moments, reframes for vertical, adds subtitles and brand overlays, and writes a clip manifest.

    113 GitHub stars~1.2k tokensUpdated 6 days ago
    Auto-check passed
  • Paw Pa Generation

    pawbytes/skill-suites

    Assembles branded, export-ready proposals from brief, research, and pricing artifacts — type-adaptive for pitch, RFP, or scoping.

    113 GitHub stars~2.3k tokensUpdated 6 days ago
    Auto-check passed
  • Proposal Brief Intake

    pawbytes/skill-suites

    Turns pasted text, audio, video or URLs from a client into a structured, completeness-checked brief.md for the first stage of a proposal pipeline.

    113 GitHub stars~2.7k tokensUpdated 6 days ago
    Auto-check passed
  • Proposal Library Indexer

    pawbytes/skill-suites

    Turns case studies, past proposals and boilerplate dropped into a library inbox into structured, source-linked indexes for later proposal work.

    113 GitHub stars~1.9k tokensUpdated 6 days ago
    Auto-check passed
  • Turns a structured sales brief into an evidence-backed HTML research dossier, matching indexed case studies locally and gathering client, tech-stack and pricing evidence from the web.

    113 GitHub stars~2.2k tokensUpdated 6 days ago
    Auto-check passed

Categories

Questions about Paw Ps Agent Product Builder

What does Paw Ps Agent Product Builder do?

Product orchestrator for Prodig Suites that guides product planning, routes work to specialists, and coordinates execution across the product lifecycle. Paw Ps Agent Product Builder is an agent skill from pawbytes/skill-suites. Product orchestrator for Prodig Suites that guides product planning, routes work to specialists, and coordinates execution across the product lifecycle.

When should I use Paw Ps Agent Product Builder?

Paw Ps Agent Product Builder fits situations like: the user is shaping a digital product; deciding next steps; needs help choosing the right Prodig specialist.

How do I install Paw Ps Agent Product Builder in Claude Code?

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

How do I install Paw Ps Agent Product Builder in Codex?

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

Can I use Paw Ps Agent Product Builder 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-agent-product-builder -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-agent-product-builder, .gemini/skills/paw-ps-agent-product-builder, .github/skills/paw-ps-agent-product-builder and .opencode/skills/paw-ps-agent-product-builder in your project.

What does Paw Ps Agent Product Builder need to run?

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

Does Paw Ps Agent Product Builder 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 Agent Product Builder 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 Agent Product Builder use?

Paw Ps Agent Product Builder 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 Agent Product Builder use?

About 2.3k tokens (SKILL.md is roughly 9.3k 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 14k tokens, read only when the agent opens those files.

What are the alternatives to Paw Ps Agent Product Builder?

Skills that share tags, products or a category with Paw Ps Agent Product Builder: AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 66k stars), K-12 Core Literacy Lesson Design (THU-MAIC/OpenMAIC, 40k stars), AnythingAtlas (Liuziyu77/AnythingAtlas, 195 stars) and Codex Skill Self-Assessment (FlorianBruniaux/claude-code-ultimate-guide, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Paw Ps Agent Product Builder?

pawbytes (a GitHub organization) maintains it in pawbytes/skill-suites, which has 113 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.