MCPInstall

copilot-delegate

Delegate a coding task to the GitHub Copilot CLI (copilot) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to delegate implementation work to Copilot - phrasings like "have Copilot implement X", "delegate this to copilot", "run it through Copilot CLI", or "use copilot to implement/fix/refactor" - or wants to run a queue of coding tasks through Copilot 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.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/amelnagdy/delegate-skills --skill copilot-delegate
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads copilot-delegate automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Copilot Delegate

You are the orchestrator. Delegate a bounded coding task to a separate implementer — the GitHub Copilot CLI — then review what it produced and land it yourself. You write the brief and own the judgment; the implementer makes changes in its own session in a clean working tree; you verify and commit.

The loop needs only a shell command and file access, so any comparable orchestrator can drive it.

When NOT to use this

  • The task is small enough to do inline; delegation overhead is not worth it.
  • The copilot CLI is not installed or authenticated.
  • You need a hard sandbox. Copilot exposes sandbox controls, but they are upstream-experimental (MXC-based, controlled via the /sandbox command and settings, disabled by default) — this relay does not configure them. --read-only only disables edit tools (--mode plan); shell commands still run. If project files must not change at all, dispatch against a clean or isolated worktree.

Prerequisites (check once)

  1. Install copilot (npm install -g @github/copilot; the CLI requires Node 22+, the relay itself runs on Node 18+ — the relay probes copilot version).
  2. Authenticate: run copilot login (interactive web/device flow), or set COPILOT_GITHUB_TOKEN / GH_TOKEN / GITHUB_TOKEN in the environment.
  3. Confirm copilot version succeeds.
  4. Work in, or point --cd at, the target git repository.

Choose the model (optional)

Copilot picks a default model (auto). To choose another, pass --model <name>. The relay accepts letters, digits, and . _ : / - only (the value reaches a shell on Windows).

Choose the effort (optional)

Copilot supports a reasoning effort dial: --effort <level> with values low, medium, high, xhigh, or max. The relay rejects any other value before dispatch.

The loop

Run these five steps per task. Steps 1, 4, and 5 require judgment; 2 and 3 are mechanical.

1. Write a brief

Copilot sees only the text you send. It cannot read your conversation: the brief must stand alone with the goal, current state, what to change, what to leave untouched, the project's real gates, and a report contract. Keep each brief to a single task. Write it to a file and pass it as the relay's --brief. See references/writing-the-brief.md.

2. Dispatch

For Codex orchestration of background work, install and configure the separate codex-background support utility first. If its MCP tools or registry are missing, stop and report the setup requirement; do not silently fall back to model-driven polling. Then invoke its registered delegate_run MCP tool once in place of the shell example below. Follow that skill for structured common arguments, unchanged provider flags and reattachment by runId. Keep the request pending until completion, then continue this skill's review and landing steps. Other orchestrators keep the shell workflow below.

Use the bundled relay. It runs copilot -p with --output-format json --no-color --stream off, captures the JSONL event stream, and writes result.json.

node "<skill-dir>/scripts/relay.mjs" --brief brief.txt --cd /path/to/repo
# choose a model:                    add --model <name>
# set reasoning effort:              add --effort <level>
# read-only planning pass:           add --read-only  (forces --mode plan)
# full tool autonomy:                add --allow-all-tools
# hard time limit (watchdog):        add --timeout 2h   (the 30m default suits brief runs)
# resume a session:                  add --session <id>  or  --resume-last
# see all options:                   node .../relay.mjs --help

The child's cwd pins the workspace. The relay writes artifacts under the system temp dir by default and never commits. See references/dispatch-and-poll.md.

3. Wait for completion

Codex using codex-background keeps the original MCP request pending: no model-driven sleep, status or log polling. Use delegate_wait only to reattach after an interrupted request.

The relay blocks until copilot finishes. Run it with the orchestrator's background-command facility, or background it in the shell and poll for result.json. A pre-run usage error exits 2 and writes no result; a missing copilot exits 127 and writes status: "copilot_unavailable".

Completion means the process exited and result.json exists — trust process state and the working tree, not the progress display. Copilot's final assistant message is the finalMessage field of result.json.

4. Review — do not trust the self-report

  • Re-run the project's gates yourself.
  • Read the diff against the brief, starting with touchedFiles.
  • Run relevant guard skills if installed.

See references/review-and-land.md.

5. Land it

If the work is good, commit it. The relay never commits — the diff and result.json are the record; run git status and git diff first to confirm exactly what changed. If the group has a PR flow, make the commit and push a branch; let human review happen. If the diff is wrong or incomplete, re-dispatch a corrected brief in a fresh run and review again.

Autonomy and permissions

Without --allow-all-tools, copilot auto-denies tool calls in headless mode: the process exits 0 but the relay detects the denial events and reports status: "failed" with the CLI's own error message and a hint to pass --allow-all-tools. This is the honest default — the orchestrator sees the failure rather than a silent no-op.

--allow-all-tools explicitly grants full tool autonomy. --read-only selects --mode plan, which disables edit tools so project files can't be changed by direct edits; it works without --allow-all-tools. Shell commands still run in plan mode, so it guards against edits, not against everything. The two flags are mutually exclusive.

Copilot also exposes sandbox controls, but they are upstream-experimental (MXC-based, controlled via the /sandbox command and settings, disabled by default). This relay does not configure them.

Authorization model

Delegation is something the human opts into. Once briefed, copilot works as a tool you approved use of. The boundary is: do not accept conclusions from the self-report; verify everything on disk. For anything touching credentials, production data, or irreversible operations, stop and ask the human first instead of encoding it in a brief.

References

  • references/writing-the-brief.md — structure, scope, gates, brief delivery.
  • references/dispatch-and-poll.md — flags, artifacts, result.json, and failure recovery.
  • references/review-and-land.md — what to verify before calling the diff done, at the end of a run.
  • references/multi-task-queues.md — sequential queues, constraint carry-forward, progress tracking, and the final coherence pass.

FAQ

What does the copilot-delegate skill do?

Delegate a coding task to the GitHub Copilot CLI (copilot) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to delegate implementation work to Copilot - phrasings like "have Copilot implement X", "delegate this to copilot", "run it through Copilot CLI", or "use copilot to implement/fix/refactor" - or wants to run a queue of coding tasks through Copilot 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.

How do I install copilot-delegate?

Run npx skills add https://github.com/amelnagdy/delegate-skills --skill copilot-delegate in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/copilot-delegate/ (personal) or .claude/skills/copilot-delegate/ (project).

Which AI agents can use copilot-delegate?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is copilot-delegate safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains copilot-delegate?

It is published by amelnagdy in amelnagdy/delegate-skills. It has 3,100 recorded installs.

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