跳到正文
cccskills
免费在 GitHub 公开

td-feature-design

Design a tdmcp feature into an implementable spec before any code is written — choose the layer, define the Zod input schema, lay out the TD network topology, plan the bridge/Python approach, sketch a UI wireframe when relevant, and list probe-first risks + the test plan. Use whenever a tdmcp feature idea needs a design/wireframe/spec, or when someone asks to plan/scope/architect a new tool, generator, effect, control, or AI prompt for the TouchDesigner MCP server.

中文简介正在准备中。当前显示原文说明。

实测评分 未实测

查看安装方法

包含的文件(1)

  • SKILL.md4.0 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

td-feature-design — turn an idea into an implementable spec

A spec is good when a builder can implement it in one file + one test without re-deciding anything. Aim for that bar.

Procedure

  1. Read the context first. docs/ROADMAP.md (the idea is usually already scoped there), AGENTS.md (the conventions), and 1–2 neighbour tools in the target src/tools/layer*/ for the exact file pattern.
  2. Pick the layer / altitude:
    • Layer 1 (src/tools/layer1/) — an artist tool that builds a whole wired+arranged network (goes through orchestration.ts).
    • Layer 2 (src/tools/layer2/) — a building block (connect, control panel, animate, external IO).
    • Layer 3 (src/tools/layer3/) — atomic node CRUD / inspection / raw-Python escape hatch.
    • src/tools/vault/ — Obsidian-vault bridge. A src/prompts/ entry — when the value is guidance to the model, not a deterministic build (multimodal / natural-language / critique ship as prompts).
    • Decide the file path now: src/tools/layer<N>/<camelCaseName>.ts.
  3. Design the Zod input schema — a param table: name, type, default, enum values, notes. Defaults matter: device-sourced inputs (camera/audio) default to a synthetic/file source (live device is opt-in) because device capture can hang TD on a macOS permission modal.
  4. Lay out the TD network topology — the operators it creates, how they wire, and the live controls it exposes. Reactive features must end on a Null CHOP ready for bind_to_channel, reusing the shipped binding path instead of inventing one. Verify every operator type against the KB (tdmcp://operators/… or search_operators) — never invent a type.
  5. Plan the bridge approach — almost always a Python payload via buildPayloadScript (__PAYLOAD_B64__) executed through the client and parsed with parsePythonReport. Propose a new REST endpoint only when streaming or performance genuinely demands it.
  6. Sketch a UI wireframe when the feature has a surface (control panel / control surface / phone remote / web dashboard / chat UI): an ASCII layout or component list naming each control and what parameter it drives.
  7. List probe-first risks — anything to validate live before locking the API: platform-specific operators (Syphon/Spout/NDI/Video-Stream-Out exist only on some OS/licenses), KB-missing operators (the KB lags ~14 recent ops; ~22 dir(td) names aren't createable), device permissions, and time-dependent chains that read 0 on a paused timeline.
  8. Write the test plan — what the offline msw unit test should assert (operators created, params set, wiring, the returned shape).
  9. Write integration notes — exactly which shared files the integrator must edit (layer*/index.ts, src/cli/agent.ts command name + flags, docs regenerate automatically).

Output

One file per feature at _workspace/01_design_<feature>.md with these sections in order: Summary · Layer + target path · Input schema (param table) · Network topology · Bridge/Python approach · UI wireframe (if any) · Probe-first risks · Test plan · Integration notes.

Anti-patterns

  • Don't design a feature that needs the builder to edit shared files — that's the integrator's job; note it instead.
  • Don't specify operators you haven't confirmed exist; mark them UNVERIFIED — probe live.
  • Don't rebuild a shipped primitive (binding, tempo clock, preset/cue engine) — wire into it.
  • Don't over-specify defensive params for states that can't occur; match the feature's real surface.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.

中文简介正在准备中。当前显示原文说明。

hybridlabor-api/aos62026年10月16日 更新

Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

中文简介正在准备中。当前显示原文说明。

hybridlabor-api/aos62026年10月16日 更新

Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.

中文简介正在准备中。当前显示原文说明。

hybridlabor-api/aos62026年10月16日 更新

Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.

中文简介正在准备中。当前显示原文说明。

hybridlabor-api/aos62026年10月16日 更新

Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.

中文简介正在准备中。当前显示原文说明。

hybridlabor-api/aos62026年10月16日 更新

agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.

中文简介正在准备中。当前显示原文说明。

hybridlabor-api/aos62026年10月16日 更新

查看 hybridlabor-api 的全部技能

报告此技能的问题