
Delegate Setup
FreeStreamline your delegation lanes with ease.
Free · Opens the source repo
What Delegate Setup does
Delegate Setup is a skill designed for orchestrators who need to configure delegation lanes for their implementer CLIs. This tool allows users to discover installed CLIs, propose a fleet of lanes, and write the necessary configuration only after receiving explicit approval from the user. The skill emphasizes a structured approach to delegation, ensuring that every lane is well-defined and aligned with the user's preferences.
The core concept within Delegate Setup is the idea of lanes. Each lane specifies which implementer CLI will handle specific types of work, such as features or tests, and can include optional parameters like models and variants. For example, a lane might designate the opencode implementer for feature work, using a specific model and variant settings. This skill does not dispatch coding tasks; rather, it focuses on authoring the lane map that dictates how work is allocated among the available implementers.
Users can engage with Delegate Setup through a series of well-defined steps: discovering the installed CLIs, loading existing configurations, and proposing new lane maps based on user input. The skill offers different methods to determine lane configurations, including quick defaults, interviews, and usage scans, allowing for a tailored setup experience. The explicit approval process ensures that users have control over their configurations, making it a reliable choice for managing delegation in a project or globally.
This skill is particularly useful for developers and teams looking to optimize their workflow by clearly defining how tasks are delegated among various implementers. By using Delegate Setup, users can ensure that their delegation strategy is efficient and aligned with their project needs, minimizing the risk of miscommunication or misallocation of tasks.
When to use it
Use this skill when you need to set up or reconfigure delegation lanes for your implementers, ensuring that work is distributed according to your preferences.
When not to use it
Do not use this skill if you need to dispatch a coding task to an implementer; use the appropriate `*-delegate` skill instead.
What you can build with it
Setting Up a New Project
When starting a new project, use Delegate Setup to define how tasks will be allocated among your implementers.
Reconfiguring Existing Lanes
If your project needs to adjust how work is distributed, Delegate Setup allows you to easily reconfigure your delegation lanes.
Optimizing Task Allocation
Use Delegate Setup to analyze and optimize how tasks are delegated, ensuring efficient use of your implementer CLIs.
How to install Delegate Setup
View source1. Install with the skills CLI
npx skills add amelnagdy/delegate-skills/delegate-setup --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by amelnagdyDelegate Setup
You are the orchestrator in setup mode. Discover installed implementer CLIs, propose a fleet of lanes, and write configuration only after the user approves.
This skill does not dispatch coding work. It only authors the lane map.
One concept: lanes. Never say “routes.”
Example lane: feature → implementer opencode, model opencode/grok, variant high
(OpenCode uses variant for reasoning intensity, not effort).
When NOT to use this
- The user wants a task implemented — use the matching
*-delegateskill instead. - A one-off model change on a single dispatch — pass
--model/--effort/--varianton that relay.
Hard rules
- Every lane must include
implementer. - Put dials on the same object (
model,effortorvariant, …) only if that implementer supports them — see references/schema.md. - Show a human-readable lane table and the full JSON before every write; re-show after every tweak.
- Write only after an explicit approval (“yes”, “approve”, “write it”).
- Ask scope unless already clear: global (all projects) vs this repo only. Never create a project file just because cwd is a git repo. If there is no git repo, default to global and say so.
- Do not invent model identifiers.
- In interview or usage-scan mode, never write any dial the user did not give you and the schema does not require — omit it, so the CLI’s or relay’s own default applies.
- Prefer 3–5 useful lanes over a kitchen-sink map.
- Never edit
AGENTS.md,CLAUDE.md, or other user agent-instruction files. - Never run a
*-delegaterelay from this skill.
(<skill-dir> is this skill’s install directory — the folder that contains this SKILL.md.)
Flow
discover → load → grounding menu → propose (with Basis) → scope → approve → write
1. Discover
node "<skill-dir>/scripts/discover.mjs"
Summarize installed vs missing, auth (true / false / null = unknown), and whether models were
reported, aliases (curated aliases in the registry, not live discovery — full model names also
work), unsupported, or failed.
2. Load existing (effective map)
node "<skill-dir>/scripts/config.mjs" load --cwd "$PWD"
- Neither present → “No lanes configured yet.”
- Otherwise → table of effective lanes with a Source column (
global/project). Do not paste both raw files unless asked. - If
projectPresentis true andprojectTrustedis false, label the project lanes untrusted. They cannot dispatch until the user reviews and approves a project write.
3. Propose
Discovery reports capability, never task fit. So ask one grounding question before proposing anything — one question, three options, not a wizard:
How should I pick the lanes? (1) Quick defaults — I decide, no questions. (2) Interview — about four questions on how you want work allocated. (3) Usage scan — I re-read your CLIs’ local session folders (counts and dates only, never the conversations) and let the numbers place your lanes — if one CLI dominates, expect one question about its role. Happy to do 2 and 3 together.
- Quick defaults → propose immediately.
- Interview → the four questions (allocation policy, never model rankings) and how to ask them (one medium per round) live in references/setup-dialogue.md — read it before you ask.
- Usage scan →
node "<skill-dir>/scripts/discover.mjs" --usage. Tell the user it is metadata only before running it. Each discovered CLI gainsusage: { sessions, lastUsed };nullmeans no probe is wired — unknown, not unused. - Both → run the scan first, then ask only what the numbers cannot answer.
- Inside a git repo, repo signals (languages, test weight, frontend share) are a fourth source of
evidence. They do not change the menu; they feed the proposal and the
repobasis.
That menu is also the consent surface — the option chosen sets how much of the map is yours to decide:
- Quick defaults — the user hired your opinion. A full map is legitimate, dials included; label
every lane
my opinion, say plainly that the map is your opinion, and keep it cheap to revise. - Interview / usage scan — evidence modes, so every dial is gated (rule 7): set one only from
the user’s answer, or where the schema requires it (opencode lanes require
model). Omitting is always safe — every dial has a default the user already lives with, and a CLI’s configured default is their standing choice, better evidence than your priors. Choosing which installed implementer gets a lane is still yours — Basismy opinion— but a dial that raises spend is not: offer your dial picks only as an addendum after the proposal, see references/setup-dialogue.md. - An unanswered question shrinks the map; it never licenses a substitution. Propose fewer, more conservative lanes, name the axis you are blind on (no quota answer → say the map is quota-blind), and invite the answer anytime. Re-ask once at most; never backfill silence with priors.
Delegation economics. The orchestrator reviews and lands every result — the review is the quality gate, so optimize total cost, not implementer prestige:
- Prefer capable, authenticated, burnable, low-usage CLIs for bounded, objectively gated work (tests, mechanical refactors, straightforward fixes) when their reliability keeps review and rework economical — lanes push token burn away from the subscriptions the user is protecting. Low usage alone does not establish burnable: discovery cannot see plans, limits, or per-run cost, and a rarely-used CLI may be metered or deliberately avoided. Burnable comes from the user's quota answer — or, in quick defaults, from your labeled opinion.
- Avoid binding a lane to a CLI the user is protecting or orchestrates from, by default; bind it only when the user asks for it or no acceptable alternative exists. Lanes are orchestrator-blind: the same lane fires from every seat the user drives from, and from that CLI's own seat it dispatches the CLI to itself.
- Surplus placement breaks down when rework and review cost exceed the savings; when the implementer is flaky; when correctness rides on security, concurrency, migrations, or unstated domain knowledge; and when the output is the product (debate, architecture, research) — review limits damage, it does not manufacture a good first attempt. Bind those lanes to stronger implementers.
- An explicit "spare X" answer removes X from proposed lanes by default, and overrides blanket posture answers on any lane the user explicitly retains for X — ask whether the posture applies there; omit the dial if unanswered. Never silently stretch one answer across an axis it conflicts with.
Question phrasings for the burn/spare and trust interview live in references/setup-dialogue.md.
Then propose the lanes. Name them after the work the user described; fall back to feature, tests,
ui, fast, complex. Installed implementers only.
Show:
| Lane | Implementer | Model | Effort / variant | Basis | Source (if updating) |
|---|---|---|---|---|---|
| feature | opencode | opencode/grok | variant: high | your answer + schema requirement | — |
| tests | codex | — | — | usage data | — |
| ui | claude | — | — | my opinion (implementer) | — |
Basis is mandatory on every lane: your answer / usage data / repo / my opinion /
schema requirement (a dial the schema forces is neither evidence nor opinion — say so). A lane you
picked from model-quality priors is my opinion — never present it as something the tooling
determined, and “installed and authenticated” is capability, not evidence of fit. When a lane’s
implementer and its dials come from different places, split the label — see
references/setup-dialogue.md.
Then the complete JSON (version: delegate-fleet.v1). One line of why per lane; flag auth or
model uncertainty.
Schema and dial table: references/schema.md.
4. Scope
- User said global / all projects / outside the project →
global. - No git repo →
global(say so). - Else ask once: global vs this repo only.
5. Approve and write
On explicit yes, write only the chosen scope (validate first). Build the payload from that
scope’s raw file (or an empty lanes object if new) — not from the effective merged load view,
or a project write will shadow global-only lanes and a global write will promote project-only ones.
Create a uniquely named file under the platform temporary directory ($TMPDIR, %TEMP%, or Node
os.tmpdir(); never hard-code /tmp, which breaks on native Windows), write the exact approved
JSON into it with the orchestrator's file-writing tool, and use that populated path as
<lanes-json> below. Never validate an empty temp file. Remove the temp file after the
validation/write attempt, whether it succeeds or fails.
node "<skill-dir>/scripts/config.mjs" validate "<lanes-json>"
node "<skill-dir>/scripts/config.mjs" write --scope global "<lanes-json>"
# or: write --scope project --cwd /path/to/repo "<lanes-json>"
Re-read with load, then confirm the path written and the active lane names. Project writes bind
approval to the exact config content; later changes fail closed until re-approved. On update, a short
before/after is enough.
6. Ready to delegate
Stop after confirming. Tell the user the map is ready. For later work: read the lane’s
implementer, load that *-delegate skill, and dispatch with --lane <name> (explicit
--model / --effort / --variant still win when passed). Do not start a delegate task
unless they ask.
Reconfigure
Same flow. Show the effective current map, propose changes, approve, write one scope’s file. Reinstalling the skills package must not rewrite these files — they live outside the package.
Frequently asked questions about Delegate Setup
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