generate-visual-plan

generate-visual-plan is a command for Claude Code from luanmorenommaciel/agentspec. It costs 20 tokens per session (1,444 once invoked), scanned A, a copy of generate-visual-plan, MIT.

A command that turns a feature request and codebase investigation into a visual HTML implementation plan. The plan can describe behavior, states, code examples, edge cases, and related files.

In plain words
What is it for?
Planning complex features, documenting implementation decisions, and communicating how a change should fit into an existing codebase.
Why use it?
It gives developers a shared, inspectable design before implementation begins, reducing missed requirements and integration surprises.

Command for Claude Code

Written for Claude Code: installed under .claude/.

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/luanmorenommaciel/agentspec/generate-visual-plan
Clone the repo
git clone --depth 1 https://github.com/luanmorenommaciel/agentspec

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for generate-visual-plan

README.md
[![agentmods](https://agentmods.dev/badge/commands/luanmorenommaciel/agentspec/generate-visual-plan.svg)](https://agentmods.dev/commands/luanmorenommaciel/agentspec/generate-visual-plan)
Your own site
<a href="https://agentmods.dev/commands/luanmorenommaciel/agentspec/generate-visual-plan"><img src="https://agentmods.dev/badge/commands/luanmorenommaciel/agentspec/generate-visual-plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,444 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 5.1 $0.00020 $0.01444
Opus 5 $0.00010 $0.00722
Sonnet 5 $0.00004 $0.00289
Haiku 4.5 $0.00002 $0.00144

Measured 4d ago against content hash 1988ae78139f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

generate-visual-plan 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 4d 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.

Origin

This is a copy

100% identical to generate-visual-plan — 38 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/commands/visual-explainer/generate-visual-plan.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Load the visual-explainer skill, then generate a comprehensive visual implementation plan for $@ as a self-contained HTML page.

Follow the visual-explainer skill workflow. Read the reference template, CSS patterns, and mermaid theming references before generating. Use an editorial or blueprint aesthetic, but vary fonts and palette from previous diagrams.

Data gathering phase — understand the context before designing:

  1. Parse the feature request. Extract:

    • The core problem being solved
    • Desired user-facing behavior
    • Any constraints or requirements mentioned
    • Scope boundaries (what's explicitly out of scope)
  2. Read the relevant codebase. Identify:

    • Files that will need modification
    • Existing patterns to follow (code style, architecture, naming conventions)
    • Related functionality that the feature should integrate with
    • Types, interfaces, and APIs the feature must conform to
  3. Understand the extension points. Look for:

    • Hook points, event systems, or plugin architectures
    • Configuration options or flags
    • Public APIs that might need extension
    • Test patterns used in the codebase
  4. Check for prior art. Search for:

    • Similar features already implemented
    • Related issues or discussions
    • Existing code that can be reused or extended

Design phase — work through the implementation before writing HTML:

  1. State design. What new state variables are needed? What existing state is affected? Draw the state machine if behavior has multiple modes.

  2. API design. What commands, functions, or endpoints are added? What are the signatures? What are the error cases?

  3. Integration design. How does this feature interact with existing functionality? What hooks or events are involved?

  4. Edge cases. Walk through unusual scenarios: concurrent operations, error conditions, boundary values, user mistakes.

Verification checkpoint — before generating HTML, produce a structured fact sheet:

  • Every state variable (new and modified) with its type and purpose
  • Every function/command/API with its signature
  • Every file that needs modification with the specific changes
  • Every edge case with expected behavior
  • Every assumption about the codebase that the plan relies on Verify each against the code. If something cannot be verified, mark it as uncertain. This fact sheet is your source of truth during HTML generation.

Diagram structure — the page should include:

  1. Header — feature name, one-line description, scope summary. Visual treatment: use a distinctive header with monospace label ("Feature Plan", "Implementation Spec", etc.), large italic title, and muted subtitle. Set the tone for the page.

  2. The Problem — side-by-side comparison panels showing current behavior vs. desired behavior. Use concrete examples, not abstract descriptions. Show what the user experiences or what the code does, step by step. Visual treatment: two-column grid with rose-tinted "Before" header and sage-tinted "After" header. Numbered flow steps with arrows between them.

  3. State Machine — Mermaid flowchart or stateDiagram showing the states and transitions. Label edges with the triggers (commands, events, conditions). Wrap in .mermaid-wrap with zoom controls (+/−/reset/expand) and click-to-expand. Use flowchart TD instead of stateDiagram-v2 if labels need special characters like colons or parentheses. Add explanatory caption below the diagram.

  4. State Variables — card grid showing new state and existing state (if modified). Use code blocks with proper white-space: pre-wrap. Visual treatment: two cards side-by-side, elevated depth, monospace labels.

  5. Modified Functions — for each function that needs changes, show:

    • Function name and file path
    • Key code snippet (not full implementation — 10-20 lines showing the pattern)
    • Explanation of what changed and why Visual treatment: file path as monospace dim text above code block, code in recessed card with accent-dim background.

Read the full file on GitHub · 108 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. 4d ago First seen · 108 lines · 20 tokens per session scan A 1988ae78139f

Subscribe to this mod's changes

generate-visual-plan is a command published in the GitHub repository luanmorenommaciel/agentspec (245 stars, last pushed 3d ago), licensed MIT. It adds 20 tokens to every session and 1,444 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to generate-visual-plan, differing in 38 lines, and is treated as a copy.