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Smart Ralph

Community
tzachbon
smart-ralph

Core Smart Ralph skill defining common arguments, execution modes, and shared behaviors across all Ralph plugins.

Overview

Publishertzachbon
Repositorysmart-ralph
Skill namesmart-ralph
Stars
559
Forks
50
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Smart Ralph 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-speckit/skills/smart-ralph
  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-speckit/skills/smart-ralph .claude/skills/smart-ralph
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Smart Ralph 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 Smart Ralph 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 Smart Ralph 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.

Smart Ralph

Core skill for all Ralph plugins. Defines common arguments, execution modes, and shared behaviors.

Common Arguments

All Ralph commands support these standard arguments:

ArgumentShortDescriptionDefault
--quick-qSkip interactive phases, auto-generate artifacts, start execution immediatelyfalse
--commit-cCommit and push spec/feature files after generationtrue (normal), false (quick)
--no-commitExplicitly disable committing files-
--max-task-iterations-mMax retries per failed task before stopping5
--fresh-fForce new spec/feature, overwrite if existsfalse

Argument Parsing Rules

text
Priority Order (highest to lowest):
1. --no-commit (explicit disable)
2. --commit (explicit enable)
3. --quick mode default (false)
4. Normal mode default (true)

Parsing Logic

text
commitSpec = true  // default

if "--no-commit" in args:
  commitSpec = false
else if "--commit" in args:
  commitSpec = true
else if "--quick" in args:
  commitSpec = false  // quick mode defaults to no commit
// else keep default (true)

Execution Modes

Normal Mode (Interactive)

  • User reviews artifacts between phases
  • Phase transitions require explicit commands
  • Each phase sets awaitingApproval: true
  • Commits spec files by default

Quick Mode (--quick)

  • Skips all interactive prompts and interviews
  • Auto-generates all artifacts in sequence
  • Immediately starts execution after generation
  • Does NOT commit by default (use --commit to override)
  • Still delegates to subagents (delegation is mandatory)

State File Structure

All Ralph plugins use a state file with common fields:

json
{
  "phase": "research|requirements|design|tasks|execution",
  "taskIndex": 0,
  "totalTasks": 0,
  "taskIteration": 1,
  "maxTaskIterations": 5,
  "awaitingApproval": false
}

Plugins may extend with additional fields.

Commit Behavior

When commitSpec is true:

  1. Stage spec/feature files after generation
  2. Commit with message: chore(<plugin>): commit spec files before implementation
  3. Push to current branch

When commitSpec is false:

  • Files remain uncommitted
  • User can manually commit later

Execution Loop (Self-Contained)

The execution loop is self-contained via the built-in stop-hook. No external plugins are required.

text
1. Coordinator outputs task delegation prompt
2. Stop-hook detects task completion signals
3. Stop-hook outputs continuation prompt for next task
4. Loop ends when coordinator outputs ALL_TASKS_COMPLETE

Coordinator Prompt

The implement command includes the coordinator prompt inline. The stop-hook (hooks/scripts/stop-watcher.sh) reads .speckit-state.json to determine continuation behavior.

Task Completion Protocol

Executor Signals

SignalMeaning
TASK_COMPLETETask finished successfully
VERIFICATION_PASSVerification task passed
VERIFICATION_FAILVerification failed, needs retry

Coordinator Signals

SignalMeaning
ALL_TASKS_COMPLETEAll tasks done, end loop

Error Handling

Max Retries

When taskIteration exceeds maxTaskIterations:

  1. Output error with task index and attempt count
  2. Include last failure reason
  3. Suggest manual intervention
  4. Do NOT output ALL_TASKS_COMPLETE
  5. Do NOT continue execution

State Corruption

If state file missing or invalid:

  1. Output error with state file path
  2. Suggest re-running the implement command
  3. Do NOT continue execution

Branch Management

All Ralph plugins follow consistent branch strategy:

  1. Check current branch before starting
  2. If on default branch (main/master): prompt for branch strategy
  3. If on feature branch: offer to continue or create new
  4. Quick mode: auto-create branch, no prompts

Frequently asked questions

What does the Smart Ralph AI skill do?

Core Smart Ralph skill defining common arguments, execution modes, and shared behaviors across all Ralph plugins.

Why use Smart Ralph on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tzachbon/smart-ralph/tree/main/plugins/ralph-speckit/skills/smart-ralph. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Smart Ralph?

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 Smart Ralph?

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

Is the Smart Ralph 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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