to-prd
Skill3 starsChanged 10 days agoMITView on GitHub
Turn the current conversation context into a PRD and save it as a markdown file. Use when the user wants to capture a feature plan, design discussion, or implementation idea as a structured PRD. Triggers on "to-prd", "create a PRD", "write a PRD", "save this as a PRD".
132 other projects use a version of this, 92 of them edited.
Adopted by
Most recently taken up by
- ishandutta2007/Awesome-Claude-Skillstheir own version, first seen Nov 8, 2026
- kazemcodes/skill-treeedited, first seen Nov 8, 2026
- paureis/pau-skillsedited, first seen Nov 8, 2026
- snowfluke/tech-lead-skillstheir own version, first seen Nov 8, 2026
- clnnn/playbooktheir own version, first seen Nov 7, 2026
- Integralist/agent-skillstheir own version, first seen Nov 6, 2026
Used with
Projects with it also use decision-mapping, zoom-out and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
FabienDehopreSkilldecision-mapping
Turn a loose idea into a sequenced map of investigation tickets, then drive them to resolution one at a time.
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victorgarciaesgiSkillzoom-out
Tell the agent to zoom out and give broader context or a higher-level perspective. Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture.
Also in 60 projects that use this
simo97Skillrequest-refactor-plan
Use this skill when user wants to create a refactor plan.
Also in 23 projects that use this
simo97Skilledit-article
The user will invoke this skill to help them edit an article.
Also in 23 projects that use this
kennethkeimSkillubiquitous-language
Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to UBIQUITOUS_LANGUAGE.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions "domain model" or "DDD".
Also in 23 projects that use this
AnasX7Skillsetup-pre-commit
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
Also in 34 projects that use this
- +4 more from simo97
Other versions132 projects use a version of this.
Word for word · 0
None found.
Edited · 92
- GreyDGL/PentestGPT★ 16k13% same
- amazingloft999-droid/mattpocock-skills★ 42216% same
- Tiberriver256/mcp-server-azure-devops★ 39913% same
- ninehills/skills★ 28013% same
- InditexTech/weavejs★ 26614% same
- serejaris/personal-corp-os★ 24313% same
- serejaris/ris-claude-code★ 24313% same
- ayoubben18/ab-method★ 19218% same
- yamcodes/arkenv★ 15114% same
- alex-on-ai/WebReaper★ 14914% same
82 more not listed
Wrote their own version · 40
- heyongjun666/AICU-Graph★ 200same name
- alamops/skills★ 53same name
- AlemTuzlak/skills★ 45same name
- aveproject/ave★ 24same name
- Integralist/agent-skills★ 23same name
- GulajavaMinistudio/polya-sdlc-coder★ 16same name
- ishandutta2007/Awesome-Claude-Skills★ 16same name
- flpbalada/fb-skills★ 8same name
- snowfluke/my-tech-lead-flow★ 8same name
- snowfluke/tech-lead-skills★ 8same name
30 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 127 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 24
Ask the user to confirm or correct before continuing.
- Very specific: line 32
Create the prds/ directory if it doesn't exist
- Distinctive: line 36
Use the template below. Be thorough — especially on user stories.
- Distinctive: line 40
After writing the file:
“Common” is measured: kept by at least 6 in 10 of the 127 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
This skill takes the current conversation context and codebase understanding and produces a structured PRD saved as a markdown file. Do NOT interview the user — synthesize what you already know from the conversation.
Process
1. Explore the codebase (if not already done)
Explore the repo to understand the current state of any code relevant to this feature. Identify the major modules that would need to be built or modified.
Actively look for opportunities to extract deep modules — modules that encapsulate a lot of functionality behind a simple, stable, testable interface. Prefer deep modules over shallow ones.
2. Check understanding with the user
Before writing, present:
- A short summary of the problem and proposed solution as you understand it
- A list of the major modules you expect to build or modify
- Which of those modules you'd recommend writing tests for
Ask the user to confirm or correct before continuing.
3. Resolve the output path
Output path: ~/.claude/tasks/<project>/prds/<slug>.md
- Resolve
<project>with:basename "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" - Derive
<slug>from the feature name: lowercase, words separated by hyphens (e.g.,user-profile-caching.md) - Create the
prds/directory if it doesn't exist
4. Write the PRD
Use the template below. Be thorough — especially on user stories. A short PRD is a weak PRD.
5. Confirm and share
After writing the file:
- Show the full resolved path
- Print a short summary (problem + solution, 2–3 sentences)
- Suggest the user share the file path with teammates or attach it to the relevant Jira ticket
PRD Template
# PRD: <Feature Name>
**Project:** <project>
**Date:** <YYYY-MM-DD>
**Status:** Draft
---
## Problem Statement
The problem that the user is facing, from the user's perspective.
---
## Solution
The solution to the problem, from the user's perspective.
---
## User Stories
A numbered list of user stories covering all aspects of the feature. Each in the format:
1. As a <actor>, I want <feature>, so that <benefit>.
Be exhaustive — cover happy paths, edge cases, error states, and admin/operator scenarios.
---
## Implementation Decisions
A list of implementation decisions made during planning. May include:
- Modules to build or modify
- Interface contracts between modules
- Architectural decisions and trade-offs considered
- Schema changes
- API contracts
- Specific interactions and data flows
Do NOT include specific file paths or code snippets — they go stale fast.
---
## Testing Decisions
- What makes a good test for this feature (test external behavior, not implementation details)
- Which modules will have tests written
- Prior art in the codebase (similar test patterns to follow)
---
## Out of Scope
What is explicitly not being built in this iteration.
---
## Further Notes
Anything else worth capturing — open questions, follow-up spikes, links to prior art or related PRDs.Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

