Agent skill

Delegate Setup

by sickn33 in sickn33/agentic-awesome-skills

Configure approved delegation lanes across installed implementer CLIs, including optional model and effort choices, then write global or project config only after explicit user approval.

MITAuto-check passedAgent Workflows

Install Delegate Setup

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill delegate-setup -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills delegate-setup --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/delegate-setup .claude/skills/delegate-setup && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
delegate-setup
GitHub stars
47k
Used in
1 other repo
Token cost
~2.8k tokens
SKILL.md length
1,474 words
Files
3 (incl. references)
Skills in repo
1,394
Repo updated
First seen
Licence
MIT

At a glance

Configure approved delegation lanes across installed implementer CLIs, including optional model and effort choices, then write global or project config only after explicit user approval.

  • Works in 6 steps: Discover → Load existing (effective map) → Propose → …
  • Agent Workflows work in your project
  • SKILL.md covers When to Use, When NOT to use this, Hard rules and Flow, plus 2 more sections
  • Calls node

What it does

Delegate Setup is an agent skill from sickn33/agentic-awesome-skills. Configure approved delegation lanes across installed implementer CLIs, including optional model and effort choices, then write global or project config only after explicit user approval.

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/schema.md` and `references/setup-dialogue.md`). Compatibility notes: Requires Node 18+. No implementer CLIs are required — the skill discovers what is available.

It sits in Agent Workflows. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Agent Workflows work in your project

Example prompts

  • “/delegate-setup”

Requirements

  • Compatibility (from SKILL.md): Requires Node 18+. No implementer CLIs are required — the skill discovers what is available.

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Discover
  2. Load existing (effective map)
  3. Propose
  4. Scope
  5. Approve and write
  6. Ready to delegate

What it can do on your machine

Read from SKILL.md and the folder at commit 1e53ce2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • node

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires Node 18+. No implementer CLIs are required — the skill discovers what is available.

    From compatibility in the SKILL.md frontmatter.

Context cost

Delegate Setup loads about 2.8k tokens when it runs, and up to ~5.8k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 1,474 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 1,474 words, ~2,826 tokens.

Download SKILL.mdSave it as .claude/skills/delegate-setup/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
delegate-setup
description
Configure approved delegation lanes across installed implementer CLIs, including optional model and effort choices, then write global or project config only after explicit user approval.
compatibility
Requires Node 18+. No implementer CLIs are required — the skill discovers what is available.
risk
safe
category
agent-orchestration
source
https://github.com/amElnagdy/delegate-skills
source_repo
amElnagdy/delegate-skills
source_type
community
date_added
2026-08-26
license
MIT
license_source
https://github.com/amElnagdy/delegate-skills/blob/master/LICENSE
metadata.version
0.5.0

Delegate Setup

When to Use

  • You want to configure which implementer CLI handles which kind of work (fleet lanes).
  • You need to discover installed implementers and write lane config after user approval.

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 scan → node "<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.
Show full SKILL.md (442 more words)Show less

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—
testscodex——usage data—
uiclaude——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.

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.

Limitations

  • Never dispatches work itself — only discovers CLIs and writes config after explicit approval.
  • Docs-only import — executable helpers (scripts/) not included; see upstream for full runtime. Requires Node 18+.

Adapted from amElnagdy/delegate-skills (MIT) — docs-only, runtime not bundled.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/delegate-setup of sickn33/agentic-awesome-skills.

  • SKILL.md
  • references/schema.md
  • references/setup-dialogue.md

Open the folder on GitHubat commit 1e53ce2

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

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Categories

Questions about Delegate Setup

What does Delegate Setup do?

Configure approved delegation lanes across installed implementer CLIs, including optional model and effort choices, then write global or project config only after explicit user approval. Delegate Setup is an agent skill from sickn33/agentic-awesome-skills. Configure approved delegation lanes across installed implementer CLIs, including optional model and effort choices, then write global or project config only after explicit user approval.

When should I use Delegate Setup?

Delegate Setup fits situations like: agent Workflows work in your project.

How do I install Delegate Setup in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill delegate-setup -a claude-code`. Or copy the skill folder (skills/delegate-setup in sickn33/agentic-awesome-skills) into .claude/skills/delegate-setup in your project. Claude Code loads it when a task matches its description.

How do I install Delegate Setup in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill delegate-setup -a codex`. Or copy the skill folder (skills/delegate-setup in sickn33/agentic-awesome-skills) into .agents/skills/delegate-setup in your project. Codex loads it when a task matches its description.

Can I use Delegate Setup in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill delegate-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/delegate-setup, .gemini/skills/delegate-setup, .github/skills/delegate-setup and .opencode/skills/delegate-setup in your project.

What does Delegate Setup need to run?

Going by SKILL.md and its folder, Delegate Setup needs the command-line tools its instructions call (node). Compatibility (from SKILL.md): Requires Node 18+. No implementer CLIs are required — the skill discovers what is available..

Does Delegate Setup access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Delegate Setup safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Delegate Setup use?

Delegate Setup is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Delegate Setup use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3k tokens, read only when the agent opens those files.

What are the alternatives to Delegate Setup?

Skills that share tags, products or a category with Delegate Setup: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 37k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Delegate Setup?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.