Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Implement ONE tdmcp tool from a spec — the canonical file pattern (Zod schema + …Impl + register… ToolRegistrar), a bridge Python payload via buildPayloadScript, and an offline msw unit test — touching only new files, never shared registries. Use when coding/implementing/writing a tdmcp tool, generator, effect, control, CHOP/TOP/SOP builder, or Python bridge work, especially when several features are built in parallel.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Implement exactly what the spec says, in your own files, green in isolation. The parallel-build contract is simple: new files only; never edit anything shared (layer*/index.ts, tools/index.ts, cli/agent.ts, docs). That isolation is what lets builders run concurrently.
Every tool file exports a pure …Impl and a register…. Mirror a neighbour in the same layer, but the shape is:
import { z } from "zod";
import type { ToolRegistrar } from "../types.js"; // note the .js extension
import { runBuild, errorResult } from "../result.js";
export const fooSchema = z.object({
name: z.string().default("foo"),
intensity: z.number().min(0).max(1).default(0.5),
});
export async function fooImpl(ctx: ToolContext, args: z.infer<typeof fooSchema>) {
// build via the client; never throw — return errorResult / runBuild on failure
}
export const registerFoo: ToolRegistrar = (server, ctx) =>
server.registerTool(
"create_foo",
{ title: "…", description: "…", inputSchema: fooSchema.shape },
(args) => fooImpl(ctx, args),
);
ctx is the ToolContext ({ client, knowledge, recipes, logger, vault?, allowRawPython }). …Impl is pure and unit-testable with a mocked client.
isError results with errorResult / runBuild / friendlyTdError. Return, don't throw..js import extensions on every relative import (ESM/NodeNext). noUncheckedIndexedAccess is on — guard indexed access../node_modules/.bin/biome check <yourfiles> directly — npm run lint fails with a false ESLint parse error under the RTK proxy.tests/unit/<feature>.test.ts. Do not touch shared files; report your export names to the integrator instead.buildPayloadScript (encodes args as __PAYLOAD_B64__), execute through the client, parse the reply with parsePythonReport.executePythonScript payload must assign a result variable — the bridge reads it back.td/ modules: keep TD-globals (op, app, project) inside functions so modules import cleanly, and run python3 -m py_compile on changed files.gain — use brightness1. There is no ParMode.out vec4 fragColor;; there is no built-in uTime (add your own uniform); avoid preamble #define collisions (F1/F2). KB shader snippets are references, not drop-in.msw (no live TouchDesigner). Assert the real returned shape — operators created, params set, wiring, and isError paths — not a cast-away generic.npx vitest run tests/unit/<feature>.test.ts. Green + biome-clean = done. You do NOT run the full build (the integrator does after wiring).The new tool file + test file, plus a note at _workspace/02_build_<feature>.md: files created, exported symbols (<feature>Impl, register<Feature>), target layer index, what the test asserts, and any spec deviation + reason. Then tell td-integrator the export names.
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Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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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.
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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.
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Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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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.
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