Export the homepage design from Figma so Shafqat can rebuild it offline with AI tools (Path A / local MCP). You only need Figma edit access and the Framelink Exporter plugin. You do not need WordPress, tokens, or any project tooling.
| Item | Value |
|---|
Export the homepage design from Figma so Shafqat can rebuild it offline with AI tools (Path A / local MCP). You only need Figma edit access and the Framelink Exporter plugin. You do not need WordPress, tokens, or any project tooling.
| Item | Value |
|---|
Purpose: Executable system prompt for an AI coding agent. Converted from the canonical human+agent guide
FIGMA2WP.mdwith no information loss.
Naming: Use Alumnium (alumnium.ai). If you see “Aluminum” in older notes, it means Alumnium.
Self-contained: No Silver Bullet / Sidekick. Path A is mandated. Path B is appendix-only.
Companions: Prefer on-diskqa/files when present; if missing, write them from the inlined sources in this prompt before running.
| { | |
| "$schema": "https://opencode.ai/config.json", | |
| "agent": { | |
| "ocg-minimax-m3": { | |
| "mode": "subagent", | |
| "model": "opencode-go/minimax-m3", | |
| "description": "OCG subagent on opencode-go/minimax-m3 (top-tier MiniMax M-series). General-purpose; pick this when the parent wants minimax-m3 specifically." | |
| }, | |
| "ocg-qwen3.7-max": { |
| { | |
| "$schema": "https://opencode.ai/config.json", | |
| "mcp": { | |
| "agentmemory": { | |
| "command": [ | |
| "npx", | |
| "-y", | |
| "@agentmemory/mcp" | |
| ], | |
| "environment": { |
Figma: hGzBbWvAx1jTNEPtgS3jDV / Node 222-1554 → Target: jobready.global
Responses synthesized from: Gemini, Claude, ChatGPT, Copilot, Perplexity, Grok & DeepSeek
OpenCode is a terminal-based AI coding agent (similar to Claude Code/Cursor) that operates in your local dev environment. MiniMax M3 is a multimodal LLM with vision + deep reasoning that can be used as OpenCode's underlying model. Figma MCP (Model Context Protocol) is a standardized bridge that allows the AI agent to directly read Figma design data (layers, tokens, spacing, colors, typography) without manual export — this is the key to pixel-perfect output.
Scope: Pure capability and feature comparison only — no Silver Bullet migration cost, hooks/gates enforcement policy, licensing, pricing, or adoption recommendations. Baseline: LeanCTX as a single product vs the RTK + Context Mode + agentmemory + Graphify composable stack. Evidence: ultradeep matrix audit (2026-07-05), 200 feature rows × 5 columns, 1000 cells verified (audit-report.md).
LeanCTX is not a full replacement for the four-tool stack. It overlaps heavily on compression, sandbox analysis, hooks, memory, and code-graph surfaces, but the audited matrix and replacement pass show residual hard gaps (especially agentmemory orchestration and Context Mode fetch/hook depth) and many partial (¹) / composable (²) cells where LeanCTX matches intent yet not parity.