Skill

Configure AI implementer lanes for delegated coding work

Discover installed implementer CLIs and configure named delegate-skills lanes with model/effort dials, writing config only after explicit approval.

Works with opencodecodexclaude

91
Spark score
out of 100
Updated 5 days ago
Source checked Sep 16, 2026
Version 17.3.0

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Why it matters

Set up and manage the routing configuration that determines which AI coding assistant (implementer CLI) handles which type of development work, creating a fleet of specialized lanes with appropriate model and effort settings based on discovery, usage patterns, or user preferences.

Outcomes

What it gets done

01

Discover installed implementer CLIs and check their authentication status and available models

02

Propose a lane configuration based on quick defaults, user interview responses, or usage scan data

03

Generate human-readable lane tables showing implementer, model, effort/variant, and basis for each work type

04

Write approved lane configuration to global or project-level config files after explicit user consent

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-delegate-setup | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

Delegate Setup

Discovers installed implementer CLIs, proposes a labeled map of named delegation lanes (which CLI, model, and effort dial handles which kind of work) grounded in the user's own answers or usage data, and writes global or project config only after explicit approval. Use when configuring which implementer CLI should handle which class of delegated work; not for actually dispatching a task (use the matching *-delegate skill) or for a one-off model override on a single run.

What it does

Runs a discover-propose-approve-write flow that configures which implementer CLI (Claude, Codex, Cline, Grok, OpenCode, and 12 others) handles which kind of delegated work, for the whole family of companion *-delegate skills. It never dispatches coding work itself - only discovers CLIs and writes the lane map. Discovery (node discover.mjs) reports which implementers are installed, their auth status (true/false/null for unknown - notably agy and pi expose no status command, so null there means no probe is wired, not a failed login), and whether their model list was actually reported, curated as aliases, unsupported, or failed to load; an optional --usage pass adds session counts and last-used dates read from local session-file metadata only, never conversation content. Before proposing anything it asks one grounding question with three options - quick defaults (the orchestrator's own labeled opinion), an interview (four allocation-policy questions: what work gets delegated most, which subscriptions to burn versus spare, which CLI is already trusted or has burned the user, and fast-cheap versus slow-thorough), or a usage scan letting session numbers place the lanes - and every dial in interview or usage-scan mode is gated: set only from the user's actual answer or a schema requirement, never invented, since omitting a dial is always safe (the CLI's or relay's own configured default applies).

Every proposal shows a human-readable lane table with a mandatory Basis column (your answer / usage data / repo / my opinion / schema requirement) and the complete delegate-fleet.v1 JSON before any write, and re-shows both after every tweak; a write happens only on an explicit "yes"/"approve"/"write it", to whichever scope the user chose - global ($XDG_CONFIG_HOME/delegate-skills/config.json or ~/.config/delegate-skills/config.json) or per-project (<git-root>/.delegate/config.json), built from that scope's own raw file rather than the merged effective view, so a project write can never silently shadow a global-only lane or vice versa. A project lane only takes effect once its exact content matches an approval hash recorded at write time; any later edit or a cloned config fails closed until it is reviewed and re-approved through this same skill. Delegation economics guide the proposal itself: bounded, objectively-gated work (tests, mechanical refactors) is steered toward capable, authenticated, low-usage CLIs to keep spend off the subscriptions the user is protecting, while work whose output IS the product (debate, architecture, research) or that touches security/concurrency/migrations is bound to stronger implementers instead, since review limits damage but cannot manufacture a good first attempt.

When to use - and when NOT to

Use it to configure which implementer CLI handles which kind of work (fleet lanes), or to discover installed implementers and write lane config after user approval. Do NOT use it when the user wants a task actually implemented - use the matching *-delegate skill instead - or for a one-off model change on a single dispatch, which just needs --model/--effort/--variant passed directly to that relay rather than a persisted lane.

Inputs and outputs

Input is the user's answers to the grounding menu (or "quick defaults") plus what discover.mjs finds installed. Output is a delegate-fleet.v1 JSON document, {"version": "delegate-fleet.v1", "lanes": {"<name>": {"implementer": "<key>", ...dials}}}, written to disk only after explicit approval via:

node "<skill-dir>/scripts/config.mjs" validate "<lanes-json>"
node "<skill-dir>/scripts/config.mjs" write --scope global "<lanes-json>"

Each lane requires an implementer key from a fixed registry (claude, cline, codex, commandcode, opencode, agy, grok, kimi, qoder, vibe, cursor, pi, omp, aider, copilot, warp, zcode), and only the dials that implementer's own *-delegate relay supports - OpenCode uses variant instead of effort and requires a provider/model string; Oh My Pi's effort dial maps to its own --thinking levels; ZCode's permissionMode accepts only plan/yolo headless, since build/edit block every write tool with no permission client to answer them. Later, a *-delegate relay resolves --lane <name> through node lane.mjs resolve, which fails loudly on a missing lane, an untrusted project config, or an implementer mismatch.

Integrations

Requires only Node 18+ - no implementer CLI is required to run the skill itself, since it discovers what is actually available. Produces the configuration every companion *-delegate skill (claude-delegate, codex-delegate, cline-delegate, commandcode-delegate, grok-delegate, kimi-delegate, omp-delegate, pi-delegate, aider-delegate, vibe-delegate, warp-delegate, and others) reads via --lane, and never edits a repo's own AGENTS.md, CLAUDE.md, or other agent-instruction files.

Who it's for

Orchestrating agents and the humans directing them who want a deliberate, evidence-labeled map of which CLI implementer handles which class of delegated coding work, instead of guessing model choice per dispatch or letting an orchestrator invent dials on the user's quota. Adapted from the community amElnagdy/delegate-skills repository under the MIT license; this catalog entry is a docs-only import, since the executable scripts/ helpers are not bundled here.

FAQ

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