Builder Readiness Stinger logo

Builder Readiness Stinger

Organization
legioncodeinc
builder-readiness-stinger

Help new coders prepare to build: clarify one goal, learning prerequisites, roles, expectations, unknowns and a first-slice proposal. Read README.md for the guide map.

Overview

Publisherlegioncodeinc
Repositoryvibe-coding-tools
Skill namebuilder-readiness-stinger
Stars
94
Forks
44
Bundled files
17
LicenseAGPL-3.0-or-later
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.

  • 17 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by legioncodeinc on GitHub. Read the source before you install it.

Installation

Install the Builder Readiness Stinger 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/legioncodeinc/vibe-coding-tools/tree/main/plugins/developer-learning-tools/skills/builder-readiness-stinger
  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/legioncodeinc/vibe-coding-tools.git /tmp/vibe-coding-tools
mkdir -p .claude/skills
cp -r /tmp/vibe-coding-tools/plugins/developer-learning-tools/skills/builder-readiness-stinger .claude/skills/builder-readiness-stinger
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Builder Readiness Stinger 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 Builder Readiness Stinger 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 Builder Readiness Stinger 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.

Builder readiness

Purpose

Help a new coder turn a product idea into one scoped readiness recommendation, learning prerequisites, responsibilities, unknowns and a first representative slice proposal. Explain what to expect at grade 8 without pretending an interview proves competence or production readiness.

When to use

  • "I want to build an app/site/desktop app/integration/plugin/tool; what should I know and expect?"
  • "How should I think and work as a software team while learning?"
  • "What should my role be while AI helps me build?"
  • "What is a sensible first behavior to learn and qualify?"
  • "What security responsibilities do I have when AI helps me build?"
  • "Should this be an app, website, integration, plugin or tool?"

When not to use

  • Market validation (/validate-idea, Discovery Research), stack/infra choice, actual account preparation, pricing/cost calculation or completion forecasts: route to their actual selected owners.
  • App scaffold, implementation, installation or release: separate accepted scope and action authority required.
  • Declaring competence/security/production readiness: require actual understanding and review/runtime evidence.
  • Initializing a repository/library: Core/App Primer owners retain that work.

Procedure

  1. Read README.md and interview-goal. Ask only material user/job/platform/milestone/experience/data/budget/time questions missing from supplied context; do not force a generic questionnaire.
  2. Fill the readiness worksheet. Keep reported experience separate from observed exercises and unknowns that change decisions. No credentials/live-user data are needed.
  3. Use expectations and roles reference. Explain human product decisions, AI drafting, actual implementation, independent review and operations. Use one bounded analogy; preserve the factual explanation.
  4. For product-form questions, use choose product form and its worksheet/cases. Recommend one provisional form from supplied job/constraints; selected platform/stack/integration owners retain feasibility and implementation.
  5. For beginner security questions, use security responsibilities, the map and worksheet. Actual controls and reviews remain with selected owners; unknown roles/permissions and learner understanding stay pending.
  6. Follow first slice. Propose ONE useful behavior with input/output/failure and acceptance owner, scoped to learning or the supplied milestone. Defer irrelevant features/providers.
  7. Follow route readiness. Resolve actual selected Discovery Research (/validate-idea), Web Stack Selection, Launch Assets, Estimation/Pricing/Operating Cost and App Primer when their decisions are needed. Do not duplicate unavailable specialists or invent rates/durations.
  8. Review against worked cases. Return one advisory recommendation or the precise blocked question, learning next step, responsibilities, first-slice proposal and owner handoff. Ask one non-shaming teach-back question and mark understanding pending until a reader response supplies evidence.

References map

  • Digest, source ledger: grounding, dated captures and limits.
  • Envelope checker: archive/links/encoded boundary checks, not assessment of a learner.
  • Paired Drone: delegation scope.

Runtime is research-only. Ship Gate removed: intake/readiness advice does not implement application code. Parent source promotion/registration and separately authorized commits follow ordered review gates. Reading the learning manual does not authorize installing or onboarding the user.

Critical Directive

  • You must read all files and context contained within your skill.
  • In the event your core knowledge does not provide sufficient guidance you must make every attempt to search the internet, related knowledge base documentation files, and other available resources to supplement your knowledge prior to proceeding with your task.
  • Additional related skills can be found here:
    • Related-owner resolution: use actual selected learning/decision/asset/economic/App Primer owners through trusted Core rather than cached sibling paths or invented roles.

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 Builder Readiness Stinger AI skill do?

Help new coders prepare to build: clarify one goal, learning prerequisites, roles, expectations, unknowns and a first-slice proposal. Read README.md for the guide map.

Why use Builder Readiness Stinger on TypingMind?

Because you install it once and use it with any model. Builder Readiness Stinger 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 Builder Readiness Stinger in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/legioncodeinc/vibe-coding-tools/tree/main/plugins/developer-learning-tools/skills/builder-readiness-stinger. 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 Builder Readiness Stinger?

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 Builder Readiness Stinger?

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

Is the Builder Readiness Stinger AI skill free?

Yes. It is published on GitHub by legioncodeinc under the AGPL-3.0-or-later 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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