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By Taoidle
Orchestrate complex projects by generating mega-plans that break them into dependency-driven features, auto-creating PRDs with prioritized stories, technical design docs, and executing parallel development in isolated git worktrees using multi-AI agents, with progress monitoring and automated merges.
npx claudepluginhub taoidle/plan-cascade --plugin plan-cascadeApprove the current PRD and begin parallel story execution. Analyzes dependencies, creates execution batches, launches background Task agents for each story, and monitors progress. Usage: /plan-cascade:approve [--flow <quick|standard|full>] [--tdd <off|on|auto>] [--confirm] [--no-confirm] [--agent <name>] [--impl-agent <name>] [--retry-agent <name>] [--no-verify] [--verify-agent <name>] [--no-review] [--no-fallback] [--auto-run]
AI auto strategy executor. Analyzes task and automatically selects and executes the best strategy: direct execution, hybrid-auto PRD generation, hybrid-worktree isolated development, or mega-plan multi-feature orchestration.
Check and update .gitignore to exclude Plan Cascade temporary files. Ensures planning files won't be accidentally committed to version control.
Complete a worktree task. Verifies all phases are complete, commits code changes (excluding planning files), merges to target branch, and removes worktree. Can be run from any directory. Usage: /plan-cascade:complete [target-branch]
Show execution status dashboard. Usage: /plan-cascade:dashboard [--verbose|-v] [--json]
Hybrid architecture combining Ralph's PRD format with Planning-with-Files' structured approach. Auto-generates PRDs from task descriptions, manages parallel story execution with dependency resolution, and provides context-filtered agents for efficient multi-story development.
Project-level multi-task orchestration system. Manages multiple hybrid:worktree features in parallel with dependency resolution, coordinated PRD generation, and unified merge workflow.
Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls. Now with automatic session recovery after /clear and optional Git worktree mode.
No model invocation
Executes directly as bash, bypassing the AI model
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Spec-driven development for big features. When features get too big, plan mode gets too vague—leading to hallucinations during implementation. ShipSpec replaces vague plans with structured PRDs, technical designs, and ordered tasks that keep Claude grounded.
Specification-driven development workflow: specify → plan → tasks → implement
AI Coding Agent - PRD to tasks to implementation loop
Structured project planning and execution through brainstorm, spec, and build phases across three execution tiers: sequential, delegated sub-agents, and full agent teams
Plan and autonomously build a software task end-to-end. Recons the codebase, applies preloaded memory, decomposes into the right number of phases, gets one confirmation, then prepares a single ready-to-paste /goal command — one paste between you and done — that drives execution to completion with built-in retry, fix-spec recovery, and per-phase memory writeback. Works on Claude Code and Codex.
End-to-end development workflow: design → draft-plan → orchestrate → review → pr-create → pr-review → pr-merge
使用 Git 同步 Claude Code 配置文件,支持 Git LFS 和自定义同步模式 - Sync Claude Code configurations using Git with LFS and custom mode support
AI-Powered Cascading Development Framework
Transform complex projects into parallel executable tasks with intelligent decomposition and multi-provider execution
| Component | Version | Status | Description |
|---|---|---|---|
| Plugin | Claude Code integration | ||
| Desktop | Local-first AI workstation | ||
| CLI | Command-line interface | ||
| MCP Server | Model Context Protocol |
Why Plan Cascade? • Product Editions • Quick Start • Architecture
Traditional AI coding assistants hit a wall with large, complex projects:
| Challenge | Conventional AI | Plan Cascade |
|---|---|---|
| Complexity | Gets lost in large codebases | Decomposes into manageable units |
| Parallelism | Sequential, one-at-a-time | Independent tasks run in parallel |
| Context | Lost during long sessions | Design docs + durable context survive compaction |
| Quality | Manual verification needed | Automated testing & linting at each step |
| Control | Black box execution | Transparent, inspectable workflow |
┌─────────────────────────────────────────────────────────────────────┐
│ Your Project Goal │
│ "Build a REST API with authentication" │
└─────────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────────┐
│ Level 1: Mega Plan │
│ ───────────────────── │
│ Project-level orchestration → Manages multiple features in batches │
│ Output: mega-plan.json + design_doc.json │
└─────────────────────────────────────────────────────────────────────┘
│
┌───────────────────┼───────────────────┐
▼ ▼ ▼
┌─────────────────────┐ ┌─────────────────────┐ ┌─────────────────────┐
│ Feature: Auth │ │ Feature: API │ │ Feature: Database │
│ ─────────────── │ │ ─────────────── │ │ ─────────────── │
│ PRD + Design Doc │ │ PRD + Design Doc │ │ PRD + Design Doc │
└─────────────────────┘ └─────────────────────┘ └─────────────────────┘
│ │ │
▼ ▼ ▼
┌─────────────────────┐ ┌─────────────────────┐ ┌─────────────────────┐
│ Stories (Parallel) │ │ Stories (Parallel) │ │ Stories (Parallel) │
│ ───────────────── │ │ ───────────────── │ │ ───────────────── │
│ □ JWT Implementation│ │ □ CRUD Endpoints │ │ □ Schema Design │
│ □ Password Hashing │ │ □ Rate Limiting │ │ □ Migrations │
│ □ Session Management│ │ □ Input Validation │ │ □ Connection Pool │
└─────────────────────┘ └─────────────────────┘ └─────────────────────┘
│
▼
┌─────────────────┐
│ Quality Gates │
│ ───────────── │
│ ✓ DoR / DoD │
│ ✓ Test Coverage │
│ ✓ Lint / Format │
└─────────────────┘
Plan Cascade is available in three editions to suit different workflows: