ralph is agent-read markdown (skill) from jellydn/my-ai-tools: Convert PRDs to prd.json format for the Ralph autonomous agent system.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Ralph PRD Converter
Converts existing PRDs to the prd.json format that Ralph uses for autonomous execution.
---
## The Job
Take a PRD (markdown file or text) and convert it to `prd.json` in your ralph directory.
---
## Output Format
```json
{
"project": "[Project Name]",
"branchName": "ralph/[feature-name-kebab-case]",
"description": "[Feature description from PRD title/intro]",
"userStories": [
{
"id": "US-001",
"title": "[Story title]",
"description": "As a [user], I want [feature] so that [benefit]",
"acceptanceCriteria": ["Criterion 1", "Criterion 2", "Typecheck passes"],
"priority": 1,
"passes": false,
"notes": ""
}
]
}
```
---
## Story Size: The Number One Rule
**Each story must be completable in ONE Ralph iteration (one context window).**
Ralph spawns a fresh Amp instance per iteration with no memory of previous work. If a story is too big, the LLM runs out of context before finishing and produces broken code.
### Right-sized stories:
- Add a database column and migration
- Add a UI component to an existing page
- Update a server action with new logic
- Add a filter dropdown to a list
### Too big (split these):
…
Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
A 17 of 17 checks passed. Deterministic, no model, same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (7355 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
jellydn/my-ai-tools · 121 stars · license MIT · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_itelkvaikacf5whn
GET https://markdownregistry.com/api/v1/resolve?ref=jellydn/my-ai-tools/ralph
GET https://markdownregistry.com/api/v1/blob/f6b5a9f15d21a34a4f5af2d42241d72c0556c8ded66913a99282471eaa9b2b22
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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chainlesschain/chainlesschain · desktop-app-vue/src/main/ai-engine/cowork/skills/builtin/ralph/SKILL.md · Drive an approved plan to completion as a single persistent owner. Third step of the canonical coding workflow.
naimkatiman/continuous-improvement · plugins/continuous-improvement/skills/ralph/SKILL.md · Enforces Law 6 (Iterate Means One Thing) of the 7 Laws of AI Agent Discipline at PRD scale. Ralph is an autonomous AI…
