amelnagdy/delegate-skills

delegate-setup

- Configure delegation fleet lanes: which implementer CLI handles which kind of work, with optional model and effort (or variant) dials.

Ver código fuente
Documento original del Skill

Contenido del repositorio de origen con títulos, ejemplos, código, tablas, enlaces e imágenes preservados.

Delegate 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 *-delegate skill instead.
  • A one-off model change on a single dispatch — pass --model / --effort / --variant on that relay.

Hard rules

  1. Every lane must include implementer.
  2. Put dials on the same object (model, effort or variant, …) only if that implementer supports them — see references/schema.md.
  3. Show a human-readable lane table and the full JSON before every write; re-show after every tweak.
  4. Write only after an explicit approval (“yes”, “approve”, “write it”).
  5. 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.
  6. Do not invent model identifiers.
  7. 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.
  8. Prefer 3–5 useful lanes over a kitchen-sink map.
  9. Never edit AGENTS.md, CLAUDE.md, or other user agent-instruction files.
  10. Never run a *-delegate relay 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

bash
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)

bash
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 projectPresent is true and projectTrusted is 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 scannode "<skill-dir>/scripts/discover.mjs" --usage. Tell the user it is metadata

only before running it. Each discovered CLI gains usage: { sessions, lastUsed }; null means 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 repo basis.

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 — Basis my 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:

LaneImplementerModelEffort / variantBasisSource (if updating)
featureopencodeopencode/grokvariant: highyour answer + schema requirement
testscodexusage data
uiclaudemy 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.

bash
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.

del mismo repositorio

Más Skills

Todos los Skills
amelnagdy
Comunidad

claude-delegate

- Delegate a coding task to a separate Claude Code CLI process or another Claude session as an implementer, then review its diff and land it yourself. Use only when the user explicitly asks to delegate implementation to Claude Code, another Claude session, or the claude CLI — for example, "have another Claude implement this", "delegate this to Claude Code", or "run this queue through a separate Claude session." Do not trigger merely because the current orchestrator is Claude, and do not use when the user asks the current Claude to implement directly without delegation.

instalaciones
2
GitHub Stars
1,8 mil
Actualizado
31 ago
amelnagdy
Comunidad

cline-delegate

- Delegate a coding task to the Cline coding agent CLI (cline) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to delegate implementation work to Cline - phrasings like "have Cline implement X", "delegate this to cline", "run it through Cline", or "use cline to implement/fix/refactor" - or wants to run a queue of coding tasks through Cline while staying the reviewer. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating.

instalaciones
2
GitHub Stars
1,8 mil
Actualizado
31 ago
amelnagdy
Comunidad

zcode-delegate

- Delegate a coding task to the Z.AI ZCode CLI as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to ZCode — phrasings like "have ZCode do X", "delegate this to ZCode", "run it through ZCode", or "use ZCode to implement/fix/refactor" — or to run a queue of coding tasks through ZCode while staying the reviewer. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating.

instalaciones
2
GitHub Stars
1,8 mil
Actualizado
31 ago
amelnagdy
Comunidad

aider-delegate

- Delegate a coding task to Aider (aider) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Aider - phrasings like "have Aider do X", "delegate this to aider", "run it through Aider", or "use Aider to implement/fix/refactor" - or wants to run a queue of coding tasks through Aider while staying the reviewer. This includes asking Aider to drive a local or self-hosted OpenAI-compatible endpoint ("have Aider use my local model", "run Aider against llama.cpp / Ollama / vLLM / LM Studio"), which Aider reaches via --api-base. DO NOT USE for local-model or coding requests that do not name Aider, for tasks small enough to do inline, or when the user wants the code written directly without delegating.

instalaciones
6
GitHub Stars
1,8 mil
Actualizado
31 ago