design-generate

A command that generates a structured technical design document from either a project plan or a feature plan. The document records architecture, shared patterns, data models, API standards, and architectural decisions.

In plain words
What is it for?
Use it to create project-level or feature-level design documentation before story execution.
Why use it?
It turns a high-level plan into written technical guidance that agents can use while implementing stories.

Command

Part of the plan-cascade plugin — 7 skills, 33 commands shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add commands/taoidle/plan-cascade/design-generate
Clone the repo
git clone --depth 1 https://github.com/Taoidle/plan-cascade

Or install plan-cascade, the plugin that ships this one along with the rest of its 7 skills, 33 commands.

Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,685 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00034 $0.02685
Opus 5 $0.00017 $0.01342
Sonnet 5 $0.00007 $0.00537
Haiku 4.5 $0.00003 $0.00268

Measured 3d ago against content hash 7ba83c6ed891, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

design-generate scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

commands/design-generate.md · 381 lines

How it starts

The opening of the file, as written. The whole thing — 381 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan Cascade - Generate Design Document

Generate a structured technical design document (design_doc.json). Auto-detects the appropriate level based on available files.

Path Storage Modes

This command works with both new and legacy path storage modes:

New Mode (Default)

  • mega-plan.json: In ~/.plan-cascade/<project-id>/
  • prd.json: In worktree directory or ~/.plan-cascade/<project-id>/
  • design_doc.json: Always created in project root (user-visible file)

Legacy Mode

  • All files in project root or worktree directory

Note: design_doc.json is a user-visible documentation file and always stays in the working directory.

Two-Level Design Document System

┌─────────────────────────────────────────────────────────────┐
│ Level 1: Project Design (from mega-plan.json)               │
│ ─────────────────────────────────────────────────────────── │
│ • Global architecture and system overview                   │
│ • Cross-feature components and patterns                     │
│ • Project-wide ADRs (architectural decisions)               │
│ • Feature mappings (which patterns/decisions apply where)   │
│ • Shared data models and API standards                      │
└─────────────────────────────────────────────────────────────┘
                          │
                          │ inheritance
                          ▼
┌─────────────────────────────────────────────────────────────┐
│ Level 2: Feature Design (from prd.json)                     │
│ ─────────────────────────────────────────────────────────── │
│ • Feature-specific components                               │
│ • Feature-specific APIs and data models                     │
│ • Feature-specific ADRs (prefixed ADR-F###)                 │
│ • Story mappings (which components/decisions per story)     │
│ • Inherits patterns/decisions from project level            │
└─────────────────────────────────────────────────────────────┘

Tool Usage Policy (CRITICAL)

To avoid command confirmation prompts:

Read the full file on GitHub · 381 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 381 lines · 34 tokens per session scan A 7ba83c6ed891

Subscribe to this mod's changes

design-generate is a command published in the GitHub repository Taoidle/plan-cascade (131 stars, last pushed 5mo ago), licensed MIT. It adds 34 tokens to every session and 2,685 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.