en un clic
dot-ai-prd-start
Start working on a PRD implementation
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
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Start working on a PRD implementation
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
| name | dot-ai-prd-start |
| description | Start working on a PRD implementation |
| user-invocable | true |
You are helping initiate active implementation work on a specific Product Requirements Document (PRD). This command sets up the implementation context (validates readiness, creates branch, prepares environment) then hands off to /prd-next for task identification.
IMPORTANT: Do NOT include time estimates or effort estimates in your responses. Focus on setup and readiness without speculating on duration.
If prdNumber argument is provided ({{prdNumber}}):
If prdNumber argument is NOT provided:
Check if PRD context is already clear from recent conversation:
Skip detection if recent conversation shows:
/prd-update-progress, /prd-start with specific PRDIf context is clear:
If context is unclear:
Auto-detect the target PRD using these context clues (in priority order):
Git Branch Analysis - Check current branch name for PRD patterns:
feature/prd-12-* → PRD 12prd-13-* → PRD 13feature/prd-* → Extract PRD numberRecent Git Commits - Look at recent commit messages for PRD references:
Git Status Analysis - Check modified/staged files for PRD clues:
prds/12-*.md → PRD 12Available PRDs Discovery - List all PRDs in prds/ directory
Fallback to User Choice - Only if context detection fails, ask user to specify
Detection Logic:
feature/prd-12-documentation-testing)If context detection fails, ask the user:
## Which PRD would you like to start implementing?
Please provide the PRD number (e.g., "12", "PRD 12", or "36").
**Not sure which PRD to work on?**
Execute `dot-ai:prds-get` prompt to see all available PRDs organized by priority and readiness.
**Your choice**: [Wait for user input]
Once PRD is identified:
prds/[issue-id]-[feature-name].mdBefore starting implementation, validate that the PRD is ready:
For documentation-first PRDs:
## PRD Readiness Check
- [ ] All functional requirements defined
- [ ] Success criteria measurable
- [ ] Dependencies available
- [ ] Documentation complete
- [ ] Integration points clear
- [ ] Implementation approach decided
If PRD is not ready: Inform the user what's missing and suggest they complete PRD planning first.
⚠️ MANDATORY: Complete this step BEFORE proceeding to Step 4
git branch --show-currentmain or master: Create and switch to feature branch:
git checkout -b feature/prd-[issue-id]-[feature-name]
You MUST display this confirmation before proceeding to Step 4:
## Environment Setup ✅
- **Branch**: `[current-branch-name]` ✅
- **Status**: [Created new branch / Already on correct branch / Staying on main (reason)]
DO NOT proceed to Step 4 until branch setup is confirmed.
Once the implementation context is set up, present this message to the user:
## Ready for Implementation 🚀
**PRD**: [PRD Name] (#[PRD Number])
**Branch**: `[branch-name]`
**Status**: Ready for development
---
To identify and start working on your first task, run `/prd-next`.
⚠️ STOP HERE - DO NOT:
/prd-next handles all task identification and implementation guidance.
This command should:
/prd-next for task identification/prd-next handles all task identification, implementation guidance, and progress trackingRemove all Port integrations, Kubernetes resources, and local files created by /port-setup
Set up Port integrations to sync Kubernetes resources and GitHub Actions to Port.io
Update PRD based on design decisions and strategic changes made during conversations
Kubernetes cluster operations via dot-ai CLI - natural language cluster queries, AI-powered deployment recommendations, issue troubleshooting and remediation, Day 2 operations (scale, update, rollback, delete), resources, namespaces, events, logs, organizational knowledge base (ingest, search, query), organizational patterns/policies/capabilities management, project scaffolding and repo audit, and session history and visualization. Run `dot-ai --help` for commands.
Create a release tag based on accumulated changelog fragments. Run when ready to cut a release.
Create a git worktree for PRD work with a descriptive branch name. Infers PRD from context or asks user.