Paw Wbc Webinar Creation logo

Paw Wbc Webinar Creation

Organization
pawbytes
paw-wbc-webinar-creation

Guided webinar creation pipeline from vague idea to production-ready deliverables. Use when creating a webinar from scratch. Triggers: 'create a webinar', 'build a webinar', 'webinar creation', 'new webinar', 'help me make a webinar'.

Overview

Publisherpawbytes
Repositoryskill-suites
Skill namepaw-wbc-webinar-creation
Stars
117
Forks
20
Bundled files
4
LicenseMIT
Links
  • 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.

  • 4 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 Wbc Webinar Creation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/pawbytes/skill-suites/tree/main/src/webinar/paw-wbc-webinar-creation
  4. 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.
2

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/webinar/paw-wbc-webinar-creation .claude/skills/paw-wbc-webinar-creation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paw Wbc Webinar Creation 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 Wbc Webinar Creation 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 Wbc Webinar Creation 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.

Webinar Creation Pipeline

Overview

The Webinar Creation Pipeline is a guided workflow that takes solo creators from a vague webinar idea to production-ready deliverables. Users experience one continuous journey through discovery research and production — no agent selection required.

Args: Interactive only. This workflow is designed for guided conversation.

Output: Complete webinar package including slide deck outline, script, and recommendations saved to .pawbytes/webinar-suites/webinars/{webinar-slug}/.

Principles

  • One continuous conversation — User never needs to decide "which agent do I need"
  • Clear progress indication — Always show "Stage X of 4" status
  • Gates between phases — User confirms readiness before proceeding
  • Resumable — If user pauses, workflow can resume from last checkpoint
  • Transparent handoffs — When calling agents, briefly explain what's happening
  • Output-focused — Every step serves the final deliverable

Pipeline

Stage 1: Brief Intake

Load ./references/01-brief-intake.md

Purpose: Capture the user's initial idea, audience context, and goals. Create the foundation for discovery research.

Progression: Brief is captured and saved to brief.md. User confirms readiness to proceed to discovery.


Stage 2: Discovery Phase

Load ./references/02-discovery-phase.md

Purpose: Transform vague idea into clear, defensible hook backed by research.

Activities:

  1. Invoke paw-wbc-agent-discovery
  2. Brief expansion and enrichment
  3. Webinar kind detection (auto-detect + user approval)
  4. Deep research on topic landscape
  5. Research compression for production use
  6. Hook generation (5-10 distinct angles)
  7. Hook selection with user
  8. Gate assessment: "Ready for production?"

Progression: User selects hook and confirms readiness for production phase. Discovery outputs saved to research-context.md and hook-selected.md.


Stage 3: Production Phase

Load ./references/03-production-phase.md

Purpose: Transform research and hook into production-ready deliverables.

Activities:

  1. Invoke paw-wbc-agent-producer
  2. Load discovery context (brief, research, hook)
  3. Structure the webinar narrative
  4. Generate slide deck outline (detailed, LLM-ready)
  5. Write script (full script for key moments, talking points elsewhere)
  6. Surface recommendations for Q&A or backup

Progression: All production outputs generated and saved. User reviews deliverables.


Stage 4: Output Delivery

Load ./references/04-output-delivery.md

Purpose: Present final deliverables clearly and guide next steps.

Activities:

  1. Summarize what was created
  2. List all files and their purposes
  3. Provide next-step recommendations
  4. Log completion to daily activity

Progression: Workflow complete. User has everything needed to build and deliver their webinar.


Path Resolution

Module root: {project-root}/.pawbytes/webinar-suites/

Webinar workspace: {project-root}/.pawbytes/webinar-suites/webinars/{webinar-slug}/

Output files:

FilePurposeCreated By
brief.mdInitial brief + audience contextStage 1
research-context.mdCompressed research findingsStage 2
hook-selected.mdChosen hook + reasoningStage 2
slide-deck-outline.mdLLM-ready slide structureStage 3
script.mdFull script + talking pointsStage 3
recommendations.mdSurfaced insightsStage 3

Daily log: {project-root}/.pawbytes/webinar-suites/daily/{YYYY-MM-DD}.md

If no webinar slug exists, generate one using the slug generation algorithm.

See: paw-wbc-agent-discovery SKILL.md "Slug Generation Algorithm" section for full specification including unicode normalization (NFKD), keyword extraction, punctuation removal, truncation (41-char base for 50-char final), and uniqueness checks.

Reference Lookup Protocol

Each stage loads its detailed guidance from ./references/ on demand:

  1. Stage begins → Load corresponding reference file
  2. Follow guidance for that stage
  3. Complete progression criteria → Move to next stage

Escalation Routes

SignalRoutes To
User wants visual slide designpaw-cra-agent-designer
User wants webinar promotion strategypaw-mkt-agent-agency
User wants to run discovery onlypaw-wbc-agent-discovery
User wants to run production only (has research)paw-wbc-agent-producer

Output Contract

Every completed webinar creation includes:

  • Action type: Full webinar creation pipeline
  • Webinar slug: Identifier for this webinar project
  • Webinar kind: Detected and approved type
  • Selected hook: Chosen angle with reasoning
  • Files saved:
    • brief.md — enriched brief and audience context
    • research-context.md — compressed research findings
    • hook-selected.md — chosen hook and reasoning
    • slide-deck-outline.md — detailed slide-by-slide with content points and visual direction
    • script.md — full script for key moments, talking points elsewhere
    • recommendations.md — research insights for Q&A or backup
  • File saved to: {project-root}/.pawbytes/webinar-suites/webinars/{webinar-slug}/
  • Next recommended actions: Rehearse, design slides, refine sections, promote

Resumption Support

If user returns mid-pipeline:

  1. Check for existing files in {webinar-slug}/ directory
  2. Identify last completed stage by presence of outputs:
    • brief.md only → Resume at Stage 2
    • brief.md + research-context.md + hook-selected.md → Resume at Stage 3
    • All outputs present → Offer to start new webinar or review existing
  3. Acknowledge resumption: "Welcome back! You're in Stage X of 4 (Stage Name) of your webinar on [topic]. Let's continue."

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 Wbc Webinar Creation AI skill do?

Guided webinar creation pipeline from vague idea to production-ready deliverables. Use when creating a webinar from scratch. Triggers: 'create a webinar', 'build a webinar', 'webinar creation', 'new webinar', 'help me make a webinar'.

Why use Paw Wbc Webinar Creation on TypingMind?

Because you install it once and use it with any model. Paw Wbc Webinar Creation 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 Wbc Webinar Creation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pawbytes/skill-suites/tree/main/src/webinar/paw-wbc-webinar-creation. 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 Wbc Webinar Creation?

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 Wbc Webinar Creation?

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

Is the Paw Wbc Webinar Creation 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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