porcupine.md
Official@porcupine-md
A modular orchestration framework for multi-phase software development, providing structured scaffolding, deployment lifecycle management, and systematic testing protocols for enterprise engineering teams.
Agent Skills by porcupine.md
Showing 54 vetted skills indexed across 1 GitHub repositories.
jonggrang
Orchestrate AI software development through a 16-phase pipeline with persistent state.
brainstorm-feature-options
Guide one-question-at-a-time design exploration without modifying code.
breadboarding-workflow
Map UI and code affordances to reveal feature connections and data flows.
persisting-progress-across-sessions
Resume interrupted orchestration runs from MANIFEST.yaml without re-running completed phases.
gateway-testing
Route unit, integration, and coverage testing tasks to specialized library skills.
reviewing-product-strategy
Reframe product problems into CEO-level strategy and identify a 10-star product.
auth
Scaffold authentication flows with user models, routes, middleware, and tests.
dispatching-parallel-agents
Identify independent tasks and dispatch them to multiple agents in parallel.
reviewing-architecture
Review architecture and data flow, then save decisions to architecture-review.md.
gateway-deploy
Route deployment tasks to matching library skill file paths by intent.
component
Generate React TypeScript UI component scaffolds with tests and optional Storybook stories.
scaffold-library
Generate a Node and TypeScript library skeleton with build config, exports, and tests.
testing
Generate targeted unit, integration, and end-to-end test suites for existing codebases.
orchestrating-feature
Coordinate multi-phase feature delivery across specialized AI agents.
shaping-requirements
Guide teams through problem shaping and generate a pitch.md file.
prd
Convert feature intent into a structured PRD with user stories and acceptance criteria.
documenting-release
Analyze project diffs to update README, ARCHITECTURE, and CHANGELOG documentation.
gateway-frontend
Route frontend task intents to library SKILL.md paths without executing code.
scaffold-cli
Generate CLI command scaffolds with parsing, handler, help text, and tests.
persisting-agent-outputs
Define a universal write protocol for agent outputs with standardized JSON headers.
scaffold-deploy
Generate deployment configuration files for Docker, Vercel, and other targets.
migration
Detect ORMs, update schemas, generate migrations, and validate changes.
gateway-api
Route API design and implementation tasks to specialized library skills.
scaffold-tui
Generate framework-specific TUI screens with model-view-update structure and tests.
Frequently Asked Questions About porcupine.md
FAQPage SchemaWhat specific development tasks can be managed using these capabilities?▼
These capabilities enable end-to-end feature delivery, including PRD generation, React component scaffolding, database migration management, and multi-phase deployment orchestration. It supports structured debugging, TDD implementation, and standardized error handling patterns across Node.js and TypeScript environments.
Which engineering personas benefit most from this framework?▼
Full-stack engineers, technical leads, and DevOps practitioners benefit from the structured orchestration of complex development lifecycles. It is designed for teams requiring consistent architectural reviews, automated deployment protocols, and rigorous testing standards across distributed codebases.
What are the core prerequisites for integrating these deployment capabilities?▼
Integration requires a Node.js and TypeScript environment with access to target infrastructure providers like AWS, Cloudflare, or Kubernetes. Users must maintain a MANIFEST.yaml file to track state across the sixteen-phase orchestration lifecycle and ensure compatibility with the defined library skill paths.