菜单
Generates 3D interior models from photos and injects them into Mapbox GL JS map instances.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | 3d-modeler |
| description | Generates 3D interior models from photos and injects them into Mapbox GL JS map instances. |
| version | 1.0.0 |
| author | Ahmed Qaddoura |
| dependencies | ["@lumaai/luma-web","three","threebox-plugin"] |
This skill allows agents to convert photographs of interiors into 3D models (GLB/GLTF) and inject them into web-based Mapbox 3D styles using Three.js and the Threebox plugin.
photoTo3D.js to call 3D reconstruction APIs (e.g., Luma AI / Polycam) to process an image and return a URL to a GLB file.mapboxInjector.js to prepare a GLB file for Mapbox insertion, calculating the necessary MercatorCoordinates and Three.js scale/rotation matrices to align the interior model perfectly with the real-world map.When a user uploads a photo of a room and asks to place it on the map, trigger this skill:
photoTo3D.js. Wait for the 3D generation to complete.mapboxInjector.js to get the integration payload.Generates dynamic video montages and edits video content for social distribution.
The cold-start protocol for an AI agent PICKING UP a handoff bundle (the receiving half of `handoff`). Triggers when a fresh session is pointed at a handoff directory or pasted a handoff block — e.g. "read this handoff", "take over from this bundle", "you're picking up <path>", "continue this work", or when the first message is a handoff block. Boots the agent loaded: reads the bundle README + manifest, runs Prime from it, confirms understanding and locked decisions BEFORE writing code, and refuses to start on a bundle with no manifest/mission. Works in any tool (Claude, Cursor, Copilot, Codex, Gemini, Aider, Windsurf).
The mandatory completion-report skill. When an agent finishes (or is blocked on) a handoff bundle or delegated task, it MUST write the outcome to files — never only into chat. Triggers on "I'm done", "this is shipped", "wrap up", "close out this task", "I'm blocked", or automatically at the end of any `handoff-receiver` / `execute` run. Writes a `<bundle>-shipped/handoff.md` report with a fixed schema (commit SHA, what shipped, files touched, test/smoke results, deferred items, new open questions) and sets the source bundle's `manifest.json` status to `shipped · <SHA>` or `blocked · <reason>`. This is the file-based feedback loop that lets a control plane track every agent across tools.
Lightweight mid-flight progress logging for long agent runs. Where `report-back` writes the final outcome, status-beacon drops short, timestamped progress notes to a file DURING the work so a human or orchestrator can check in without interrupting. Triggers on long/multi-phase tasks, or when the user says "keep a log", "leave progress notes", "beacon this", "let me track this". Appends to a `progress.md` inside the active bundle/work dir. Honest about uncertainty — notes are signals, not guarantees. Works across Claude, Cursor, Copilot, Codex, Gemini, Aider, Windsurf.
Captures insights, rules, and learnings from any AI coding conversation into the user's personal ai-doctrine.md file — a single source of truth that is then auto-synced into Claude Code, Cursor, Copilot, Codex, Gemini CLI, and Windsurf so every tool the user opens reads the same hard-won rules. Use this skill whenever the user says "add to doctrine", "save this rule", "capture this learning", "this should be a rule", "doctrine this", "remember this", or asks to record an insight from a prompt/response. Also triggers when the user shares a hard-won learning, a prompt pattern that worked unusually well, a failure mode to avoid, or any rule they want to remember across tools.
Delegates real work to a coding agent (Claude Code, Cursor agent mode, Codex, Aider) and tracks the run end-to-end. Triggers on "execute", "run agent", "ship this", "delegate this", "hand off to Claude Code". Creates a run reference, watches for completion signals, links output back into the conversation, and offers to save successful execution patterns to ~/ai-doctrine.md so the same delegation playbook works across every agentic tool the user has installed.