prd is agent-read markdown (skill) from jellydn/my-ai-tools: Generate Product Requirements Documents from feature ideas — plans specs and requirements.
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
# PRD Generator
Create detailed Product Requirements Documents that are clear, actionable, and suitable for implementation.
---
## The Job
1. Receive a feature description from the user
2. Ask 3-5 essential clarifying questions (with lettered options)
3. Generate a structured PRD based on answers
4. Save to `tasks/prd-[feature-name].md`
**Important:** Do NOT start implementing. Just create the PRD.
---
## Step 1: Clarifying Questions
Ask only critical questions where the initial prompt is ambiguous. Focus on:
- **Problem/Goal:** What problem does this solve?
- **Core Functionality:** What are the key actions?
- **Scope/Boundaries:** What should it NOT do?
- **Success Criteria:** How do we know it's done?
### Format Questions Like This:
```
1. What is the primary goal of this feature?
A. Improve user onboarding experience
B. Increase user retention
C. Reduce support burden
D. Other: [please specify]
2. Who is the target user?
A. New users only
B. Existing users only
C. All users
D. Admin users only
3. What is the scope?
A. Minimal viable version
B. Full-featured implementation
C. Just the backend/API
D. Just the UI
```
…
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 (7299 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_yn3doorsuepjw7sh
GET https://markdownregistry.com/api/v1/resolve?ref=jellydn/my-ai-tools/prd
GET https://markdownregistry.com/api/v1/blob/84e07e89b051c8995e982b3bb9ebafa0a294c2c370ba47255f4375f25580c909
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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