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Generate Project Plan

Skill Verified Active

Generate a FigJam project plan board from a PRD plus codebase context. Interactive flow: research → propose sections → per-section deep research → per-section content + block-shape proposal → create FigJam → skeleton → fill → diagrams → wrap. Each content block (section, nested section, intro callout, table, multi-column text, sticky column, diagram section, metadata strip) has its own subskill reference file. Use when the user asks for 'project plan in FigJam', 'interactive project plan', '/generate-project-plan', or provides a PRD and wants per-section confirmation on content + rendering.

Purpose

To streamline project planning by automatically generating interactive FigJam project plan boards from PRDs and codebase context, saving significant manual effort.

Features

  • Generate FigJam project plan boards from PRDs and codebase context.
  • Interactive workflow: research → propose → confirm → create → fill → diagram → wrap.
  • Supports diverse content blocks: sections, callouts, tables, multi-column text, diagrams.
  • Detailed visual and structural conventions for FigJam elements.
  • Integrates with Figma MCP tools for canvas manipulation.

Use Cases

  • Use when asked to generate an 'interactive project plan in FigJam'.
  • Use when provided with a PRD and needing confirmation on content and rendering for each section.
  • Use to create a structured project plan board from existing design documentation.
  • Use to visualize project scope, goals, dependencies, and rollout plans.

Non-Goals

  • Generating project plans in formats other than FigJam.
  • Handling PRDs without structured content or clear objectives.
  • Performing deep code analysis beyond extracting context for diagrams.
  • Automating the entire project execution lifecycle; it focuses solely on plan board generation.

Installation

npx skills add figma/mcp-server-guide

Runs the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.

Quality Score

Verified
98 /100
Analyzed about 16 hours ago

Trust Signals

Last commitabout 23 hours ago
Stars1.4k
Status
View Source

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