learning_ai_common_plat/AI.dev/PROMPTS
saravanakumardb 32c7b1ba7e docs(prompts): add 14 reusable AI prompts for ecosystem-wide workflows
- roadmap-execution: phased roadmap execution with checkpoints
- new-product-scaffold: scaffold new ByteLyst product repos
- prd-to-implementation: convert PRDs to concrete plans
- cross-repo-debug: systematic multi-repo debugging
- backend-module-crud: Fastify CRUD modules (types/repo/routes/tests)
- platform-integration: wire products into common platform
- refactor-with-tests: test-first safe refactoring
- test-gap-analysis: coverage gap identification and remediation
- type-safety-sweep: TypeScript error triage and fix
- dependency-health-check: cross-repo dependency audit
- pre-release-validation: comprehensive release checklist
- docker-production-prep: production Docker images
- agents-md-sync: keep AI instruction files accurate
- ecosystem-audit: full ecosystem health dashboard
2026-05-17 16:48:58 -07:00
..
agents-md-sync.md docs(prompts): add 14 reusable AI prompts for ecosystem-wide workflows 2026-05-17 16:48:58 -07:00
backend-module-crud.md docs(prompts): add 14 reusable AI prompts for ecosystem-wide workflows 2026-05-17 16:48:58 -07:00
cross-repo-debug.md docs(prompts): add 14 reusable AI prompts for ecosystem-wide workflows 2026-05-17 16:48:58 -07:00
dependency-health-check.md docs(prompts): add 14 reusable AI prompts for ecosystem-wide workflows 2026-05-17 16:48:58 -07:00
docker-production-prep.md docs(prompts): add 14 reusable AI prompts for ecosystem-wide workflows 2026-05-17 16:48:58 -07:00
ecosystem-audit.md docs(prompts): add 14 reusable AI prompts for ecosystem-wide workflows 2026-05-17 16:48:58 -07:00
new-product-scaffold.md docs(prompts): add 14 reusable AI prompts for ecosystem-wide workflows 2026-05-17 16:48:58 -07:00
platform-integration.md docs(prompts): add 14 reusable AI prompts for ecosystem-wide workflows 2026-05-17 16:48:58 -07:00
prd-to-implementation.md docs(prompts): add 14 reusable AI prompts for ecosystem-wide workflows 2026-05-17 16:48:58 -07:00
pre-release-validation.md docs(prompts): add 14 reusable AI prompts for ecosystem-wide workflows 2026-05-17 16:48:58 -07:00
README.md docs(prompts): add 14 reusable AI prompts for ecosystem-wide workflows 2026-05-17 16:48:58 -07:00
refactor-with-tests.md docs(prompts): add 14 reusable AI prompts for ecosystem-wide workflows 2026-05-17 16:48:58 -07:00
roadmap_execution.md Add roadmap execution guidelines for full-stack engineers 2026-05-17 16:37:51 -07:00
roadmap-execution.md docs(prompts): add 14 reusable AI prompts for ecosystem-wide workflows 2026-05-17 16:48:58 -07:00
test-gap-analysis.md docs(prompts): add 14 reusable AI prompts for ecosystem-wide workflows 2026-05-17 16:48:58 -07:00
type-safety-sweep.md docs(prompts): add 14 reusable AI prompts for ecosystem-wide workflows 2026-05-17 16:48:58 -07:00

ByteLyst Ecosystem — Reusable AI Prompts

Location: AI.dev/PROMPTS/ Audience: Claude Code, Codex, Cursor, Copilot, Windsurf Cascade, Gemini, and any AI coding agent. Scope: All 37 repos in D:\BYTELYST\CODE\ — common platform, product repos, tooling repos.


How to Use

Copy-paste a prompt into your AI assistant, or reference it by path:

@file AI.dev/PROMPTS/roadmap-execution.md

Each prompt is self-contained — it includes the context the agent needs without requiring you to manually explain the ecosystem every time.

Prompt Index

🗺️ Planning & Roadmap

Prompt Purpose
roadmap-execution.md Execute a phased roadmap with checkpoints, commits, and validation
new-product-scaffold.md Scaffold a new ByteLyst product repo from scratch
prd-to-implementation.md Convert a PRD into a concrete, phased implementation plan

🔧 Development & Debugging

Prompt Purpose
cross-repo-debug.md Systematically debug issues spanning multiple repos
backend-module-crud.md Add a complete Fastify CRUD module (types → repo → routes → tests)
platform-integration.md Wire a product repo into the common platform ecosystem
refactor-with-tests.md Safely refactor code with test-first methodology

🧪 Quality & Testing

Prompt Purpose
test-gap-analysis.md Identify and fill test coverage gaps in any repo
type-safety-sweep.md Fix TypeScript errors across a repo or the workspace
dependency-health-check.md Audit and update dependencies across repos

📦 Release & Ops

Prompt Purpose
pre-release-validation.md Full pre-release checklist: build, test, lint, security
docker-production-prep.md Prepare Docker images for production deployment

📚 Documentation

Prompt Purpose
agents-md-sync.md Update AGENTS.md across all repos to match current state
ecosystem-audit.md Full ecosystem health audit with actionable report

Conventions

  • Agent-agnostic: Prompts work across Claude, Copilot, Cursor, Windsurf, Gemini.
  • Ecosystem-aware: Each prompt embeds the key ByteLyst conventions (productId, Fastify module pattern, @bytelyst/* packages, pnpm workspace).
  • Commit-friendly: Prompts that produce code changes include commit message guidance.
  • Incremental: Each prompt favors small, validated, committed steps over big-bang changes.

Adding a New Prompt

  1. Create AI.dev/PROMPTS/<prompt-name>.md
  2. Include a YAML-style header with name, description, argument-hint
  3. Add it to this index
  4. Commit: docs(prompts): add <prompt-name> reusable prompt