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Ralph Specum Help

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tzachbon
ralph-specum-help

This skill should be used only when the user explicitly asks to use `$ralph-specum-help`, or explicitly asks Ralph Specum in Codex for help or command guidance.

Overview

Publishertzachbon
Repositorysmart-ralph
Skill nameralph-specum-help
Stars
559
Forks
50
Bundled files
1
LicenseMIT
Links
Skill sourceRepository
  • 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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Ralph Specum Help 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/tzachbon/smart-ralph/tree/main/plugins/ralph-specum-codex/skills/ralph-specum-help
  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/tzachbon/smart-ralph.git /tmp/smart-ralph
mkdir -p .claude/skills
cp -r /tmp/smart-ralph/plugins/ralph-specum-codex/skills/ralph-specum-help .claude/skills/ralph-specum-help
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ralph Specum Help 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 Ralph Specum Help 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 Ralph Specum Help 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.

Ralph Specum Help

Use this to explain the Ralph Specum surface in Codex.

Cover

  • Primary skill: $ralph-specum
  • Helper skills: $ralph-specum-start, $ralph-specum-triage, $ralph-specum-research, $ralph-specum-requirements, $ralph-specum-design, $ralph-specum-tasks, $ralph-specum-prototype, $ralph-specum-implement, $ralph-specum-status, $ralph-specum-switch, $ralph-specum-cancel, $ralph-specum-index, $ralph-specum-refactor, $ralph-specum-feedback, $ralph-specum-help
  • Normal flow: start goal grill, approval, research, artifact approval, requirements grill, approval, design grill, approval, tasks grill, approval, implement
  • Large effort flow: triage, then start each unblocked spec
  • Quick mode: only exact --quick bypasses interview questions; exact --interactive clears it. Discovery, skill loads, and artifact write gates still run
  • Disk contract: ./specs or configured roots, .current-spec, optional .current-epic, per-spec markdown files, .ralph-state.json

Optional Prototype Overlay

  • Direct mode: invoke $ralph-specum-prototype from research, requirements, design, tasks, or execution. Preserve the main phase and current checkout.
  • Suggested mode: research or requirements may offer continue to prototype, then return to the next normal phase.
  • Resume mode: use $ralph-specum-prototype --resume <id>. One active entry resumes automatically; several are listed deterministically for selection.
  • Quick mode: run exactly one agent-owned request after requirements, ask no prototype questions, take over the oldest design blocker or select the highest-risk grounded, falsifiable question when no blocker exists, own verdict and handoff decisions, and continue to design for every result.
  • Cancel mode: use $ralph-specum-prototype --cancel <id> or safe spec cancellation. Stop at a safe boundary, publish a reviewed immutable cancelled record, and preserve source and partial implementation.

Store terminal records under the resolved <basePath>/prototypes/. Run source work in a sibling worktree or eligible scratch area without switching the current checkout or copying unapproved dirty paths. Keep source, evidence, records, and branches local. Require separate authorization for every push, PR or issue change, and other remote action. Require exact-path and local-branch confirmation before local deletion; never delete a remote branch during prototype cleanup.

Guidance

  • Recommend $ralph-specum as the default entrypoint.
  • Recommend $ralph-specum-triage when the user describes a large, multi-part, or dependency-heavy effort.
  • Mention helper skills when the user wants explicit phase control.
  • Explain that Ralph does not self-advance by default. The user must approve the current artifact, request changes, or explicitly continue to the next step.
  • Explain that safe cancel deletes execution state only after verified immutable cancellation records exist. Full spec deletion and each prototype source deletion are separate exact-target confirmations.
  • Explain that $ralph-specum-status reports active entries, candidates, immutable finals, quarantines, blockers, return phase/task, and source disposition.
  • Mention optional bootstrap assets only when the user wants repo-local guidance.

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 Ralph Specum Help AI skill do?

This skill should be used only when the user explicitly asks to use `$ralph-specum-help`, or explicitly asks Ralph Specum in Codex for help or command guidance.

Why use Ralph Specum Help on TypingMind?

Because you install it once and use it with any model. Ralph Specum Help 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 Ralph Specum Help in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tzachbon/smart-ralph/tree/main/plugins/ralph-specum-codex/skills/ralph-specum-help. 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 Ralph Specum Help?

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 Ralph Specum Help?

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

Is the Ralph Specum Help AI skill free?

Yes. It is published on GitHub by tzachbon 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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