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Prd Implementation Precheck

Community
zhaono1
prd-implementation-precheck

Precheck a PRD or feature specification before implementation, resolving material blockers while continuing directly when requirements are clear.

Overview

Publisherzhaono1
Repositoryagent-playbook
Skill nameprd-implementation-precheck
Stars
79
Forks
12
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 zhaono1 on GitHub. Read the source before you install it.

Installation

Install the Prd Implementation Precheck 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/zhaono1/agent-playbook.git /tmp/agent-playbook
mkdir -p .claude/skills
cp -r /tmp/agent-playbook/skills/prd-implementation-precheck .claude/skills/prd-implementation-precheck
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prd Implementation Precheck 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 Prd Implementation Precheck 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 Prd Implementation Precheck 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.

PRD Implementation Precheck

Overview

Perform a short PRD precheck, surface material issues, then implement. Ask the user only when a missing choice would materially change behavior, architecture, data, or external side effects.

Workflow

  1. Locate the PRD and any referenced files.
  2. Precheck the PRD and summarize intent in 1-2 sentences.
  3. List findings and questions with blockers first. If there are no material blockers, state assumptions and continue.
  4. When a blocker exists, resolve it with the user before implementation.
  5. Validate (tests or manual steps) or state what was not run.

Precheck Checklist

Basic Checks

  • Scope: Identify over-broad changes; suggest a smaller, targeted approach.
  • Alignment: Flag conflicts with existing patterns or architecture; propose alternatives.
  • Dependencies: Note missing hooks/providers/data sources or unclear ownership.
  • Behavior: Verify flows and edge cases are specified; ask for gaps.
  • Risks: Call out performance, regressions, or migration risks.
  • Testing: Check success criteria and test coverage; request specifics if vague.

Edge Case Coverage Checks

Verify the PRD addresses these edge cases (mark as ⚠️ if missing):

Data Boundaries
  • Null/Empty handling - What happens with empty inputs or null values?
  • Boundary values - Are min/max limits defined? What happens at boundaries?
  • Duplicate data - How are duplicates detected and handled?
  • Data format - Are input formats validated? What about special characters?
State Boundaries
  • State transitions - Are all valid state transitions defined?
  • Invalid transitions - What happens on illegal state changes?
  • Concurrent modifications - How are simultaneous edits handled?
  • Rollback scenarios - Can operations be undone? How?
Error Boundaries
  • Network failures - What happens when API calls fail?
  • Timeout behavior - Are timeouts defined? What's the retry strategy?
  • Partial failures - If step 2 of 3 fails, what happens to step 1?
  • Error messages - Are user-facing error messages defined?
UX Boundaries
  • Empty states - What does the user see with no data?
  • Loading states - How is loading indicated?
  • Success feedback - How does the user know the action succeeded?
  • Permission denied - What happens when user lacks permission?

Codebase Consistency Checks

Scan the codebase to verify PRD aligns with existing patterns:

bash
# Check if PRD's proposed patterns match existing code
grep -r "pattern_from_prd" src/ --include="*.ts"
  • Delete strategy - Does PRD match existing soft/hard delete pattern?
  • Error handling - Does PRD use the same error display mechanism?
  • Component reuse - Does PRD leverage existing components?
  • API patterns - Does PRD follow existing API conventions?

Output Format

Precheck Report Template

markdown
## PRD Precheck Report

### Summary
{1-2 sentence summary of what the PRD aims to achieve}

### ✅ Covered Edge Cases
- {List edge cases that are well-defined in the PRD}

### ⚠️ Missing Edge Cases
| Edge Case | Category | Suggested Default | Needs Confirmation |
|-----------|----------|-------------------|-------------------|
| Empty list display | UX | Use existing EmptyState | No |
| Concurrent edit | State | Last write wins | **Yes** |

### 🔴 Blockers
- {Critical issues that must be resolved before implementation}

### 🟡 Warnings
- {Non-critical issues that should be addressed}

### Questions for User
1. {Specific question about missing edge case}
2. {Specific question about ambiguous requirement}

---

**Proceed as-is, or update the PRD?**

Output Expectations

  • Provide a concise precheck report with questions and risks.
  • Ask "Proceed as-is, or update the PRD?" only when the answer changes the implementation materially.
  • If there are no blockers, state assumptions and continue without a redundant confirmation round.

Frequently asked questions

What does the Prd Implementation Precheck AI skill do?

Precheck a PRD or feature specification before implementation, resolving material blockers while continuing directly when requirements are clear.

Why use Prd Implementation Precheck on TypingMind?

Because you install it once and use it with any model. Prd Implementation Precheck 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 Prd Implementation Precheck in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaono1/agent-playbook/tree/main/skills/prd-implementation-precheck. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Prd Implementation Precheck?

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 Prd Implementation Precheck?

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

Is the Prd Implementation Precheck AI skill free?

Yes. It is published on GitHub by zhaono1 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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