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Ralph Json Create Issues

Community
richtabor
ralph-json-create-issues

Converts a PRD or plan markdown file into prd.json format for ralph-json-start-loop to execute autonomously. Use when user wants to convert a PRD or plan to JSON stories.

Overview

Publisherrichtabor
Repositoryagent-skills
Skill nameralph-json-create-issues
Stars
70
Forks
11
Bundled files
Instructions only
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 richtabor on GitHub. Read the source before you install it.

Installation

Install the Ralph Json Create Issues 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.
  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/richtabor/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/ralph-json-create-issues .claude/skills/ralph-json-create-issues
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ralph Json Create Issues 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 Json Create Issues 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 Json Create Issues 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.

Create PRD JSON

Convert a Product Requirements Document or plan file into JSON for Ralph.

Input

Check these locations in order:

  1. .claude/plans/ — Where plan mode saves approved plans. Primary source.
  2. plans/ — Project-level plans directory.
  3. prds/ — Standalone PRDs not generated from plan mode.

If files exist in multiple locations, list all and ask which to convert. If only one file is found, use it directly. If no files are found in any location, ask the user for the path to their PRD/plan file.

Conversion Rules

Story Sizing (Critical)

Each story MUST complete in ONE Ralph iteration (one context window).

Right-sized:

  • Add a database column
  • Create a single UI component
  • Add one API endpoint
  • Add form validation
  • Update a server action

Too large (must split):

❌ "Build entire auth system"
✅ "Add login form"
✅ "Add email validation"
✅ "Add auth server action"

Dependency Ordering

Stories execute sequentially by priority:

  1. Database/schema changes
  2. Backend logic
  3. API endpoints
  4. UI components

Cross-PRD Dependencies (Critical)

Ralph respects dependsOn to sequence PRDs. Before generating JSON:

  1. Scan existing PRDs — Read all prds/*.json to know what features exist
  2. Detect dependencies — Look for references in the markdown PRD:
    • Explicit: "See elevenlabs-integration.md", "Depends on morning brief"
    • Implicit: Story notes mentioning other features
    • Technical: Uses tables/APIs defined in another PRD
  3. Populate dependsOn — Array of PRD names (without .json extension)

Examples of dependency detection:

markdown
# In evening-ritual.md:
"See `elevenlabs-integration.md` for shared infrastructure"
→ dependsOn: ["elevenlabs-integration"]

"Depends on morning brief feature for regeneration"
→ dependsOn: ["elevenlabs-integration", "morning-brief"]

If no dependencies detected:

json
"dependsOn": []

Acceptance Criteria (Critical)

Must be explicit and verifiable:

Good:

- Email/password fields present
- Validates email format
- Shows error on invalid input
- Typecheck passes
- Verify at localhost:3000/login

Bad:

- Users can log in (vague)
- Works correctly (vague)
- Good UX (subjective)

Required in every story:

  • "Typecheck passes"
  • "Lint passes"

Required for UI stories:

  • "Verify at localhost:3000/[path]"

Output Format

Generate prds/[feature-name].json:

json
{
  "projectName": "Feature Name",
  "branchName": "ralph/feature-name",
  "description": "Brief description",
  "dependsOn": ["other-feature", "another-feature"],
  "status": "pending",
  "completedAt": null,
  "userStories": [
    {
      "id": "US-001",
      "title": "Add login form",
      "description": "As a user, I want to see a login form so I can authenticate",
      "acceptanceCriteria": [
        "Email/password fields present",
        "Form submits on enter",
        "Typecheck passes",
        "Lint passes",
        "Verify at localhost:3000/login"
      ],
      "priority": 1,
      "passes": false,
      "notes": ""
    }
  ]
}

Process

  1. Scan existing PRDs — Read prds/*.json to understand the dependency landscape
  2. Read the PRD/plan markdown file from .claude/plans/, plans/, or prds/
  3. Derive feature name from filename (e.g., auth-flow.mdauth-flow)
  4. Detect dependencies — Check for references to other PRDs in the markdown
  5. Break into right-sized stories starting at US-001
  6. Order by dependency (set priority)
  7. Add explicit acceptance criteria
  8. Save to prds/[feature-name].json

Pre-Save Checklist

Before saving, verify:

  • Each story completable in one iteration
  • Stories ordered by dependency
  • All criteria include "Typecheck passes"
  • UI stories include "Verify at localhost:3000/..."
  • No vague criteria ("works", "good", "correct")
  • Story IDs are sequential (US-001, US-002, ...)
  • dependsOn is populated (empty array if no dependencies)
  • Dependencies reference existing PRD names (without extension)

After Conversion

Created prds/[feature-name].json with [N] stories
Dependencies: [list or "none"]
Branch: ralph/[feature-name]

Run: /ralph-json-start-loop

Frequently asked questions

What does the Ralph Json Create Issues AI skill do?

Converts a PRD or plan markdown file into prd.json format for ralph-json-start-loop to execute autonomously. Use when user wants to convert a PRD or plan to JSON stories.

Why use Ralph Json Create Issues on TypingMind?

Because you install it once and use it with any model. Ralph Json Create Issues 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 Json Create Issues in TypingMind?

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

Which AI models can use Ralph Json Create Issues?

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 Json Create Issues?

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

Is the Ralph Json Create Issues AI skill free?

It is published on GitHub by richtabor. Check the repository for licensing terms. 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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