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Qoder Delegate

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amElnagdy
qoder-delegate

Delegate a coding task to the Qoder CLI (`qodercli`) as a background implementer, then review its diff and land it yourself. Use this whenever the user asks to have Qoder implement, fix, refactor, or run a queue of coding tasks while the orchestrator remains the reviewer. DO NOT USE for tasks small enough to do inline, or when the user wants code written directly without delegation.

Overview

PublisheramElnagdy
Repositorydelegate-skills
Skill nameqoder-delegate
Stars
2.1K
Forks
167
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by amElnagdy on GitHub. Read the source before you install it.

Installation

Install the Qoder Delegate AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/amElnagdy/delegate-skills.git /tmp/delegate-skills
mkdir -p .claude/skills
cp -r /tmp/delegate-skills/skills/qoder-delegate .claude/skills/qoder-delegate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Qoder Delegate in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Qoder Delegate on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Qoder Delegate is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Qoder Delegate

You are the orchestrator. Delegate one bounded coding task to a separate implementer - Qoder CLI - then review what it produced and land it yourself. You write the brief and own the judgment; Qoder edits the working tree in its session; you verify and commit.

The loop needs only shell 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.
  • qodercli is not installed or authenticated.
  • You want to write the code yourself or need only an interactive Qoder session.

Prerequisites (check once)

bash
command -v qodercli
qodercli --version
qodercli --list-models

If the binary is missing, install it from Qoder's official Quick Start. Authenticate with qodercli login, or set QODER_PERSONAL_ACCESS_TOKEN for automation. A successful --list-models confirms the current account can return its live model catalog.

Choose model and context window

Qoder's available models can change. If the human requests a model, use its exact current value from qodercli --list-models; never invent or pin a catalog entry. Otherwise omit --model and let Qoder use its current default.

--context-window <n> is optional. Pass a positive integer only when the human requests a size or the task needs an explicit budget. Qoder applies it only to supported models; surface an unsupported model/size error instead of silently choosing another value.

The loop

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

1. Write the brief

Qoder sees the brief plus what it can inspect in the workspace, not this chat. Include the goal, current state, what to change, what to leave untouched, the project's actual gates, and a closing report contract. Tell Qoder not to commit. Keep one task per brief. See references/writing-the-brief.md.

2. Dispatch

Use the bundled relay. It wraps Qoder's non-interactive stream-json mode and writes result.json. <skill-dir> is the installed folder containing this SKILL.md.

bash
node "<skill-dir>/scripts/relay.mjs" --brief brief.txt --cd /path/to/repo
# choose a live model:                 add --model "<value from qodercli --list-models>"
# request a supported context window: add --context-window 32768
# resume the latest session:          add --resume-last  # delta brief only
# resume a specific session:          add --resume <id>  # delta brief only
# see every option:                   node .../relay.mjs --help

Implementation runs default to Qoder's auto permission mode. The relay never bypasses permissions unless the caller explicitly requests it, and it never commits. See references/dispatch-and-poll.md.

3. Wait for completion

The relay blocks until Qoder exits. Run it with the orchestrator's background-command facility, or background it in the shell and wait for result.json. Completion means the process exited and the file contains a status; do not trust a progress display.

A pre-run usage error exits 2 and writes no result. Missing qodercli exits 127 and writes status: "qoder_unavailable" with installation guidance.

Native Windows relay launch is not yet verified; do not claim it until a native Windows smoke passes.

4. Review - do not trust the self-report

Treat Qoder's final message and gate outcomes as claims:

  • Re-run the project's gates yourself.
  • Read the diff against the brief, starting with touchedFiles.
  • Check any --add-dir workspaces separately; their changes are not in the primary tree report.
  • Run relevant guard skills if installed.
  • Round-trip migrations and grep for dangling references after removals or renames.

See references/review-and-land.md.

5. Land it

The implementer edits; the orchestrator commits. Commit only after the gates pass and the diff holds. If rework is needed, send a delta brief with --resume-last or --resume <id>, then review again.

Permission model

Qoder print mode cannot show approval prompts. The relay defaults to auto, which makes non-interactive allow/deny decisions. default can deny actions that would require a prompt; accept_edits permits workspace edits but may deny shell actions; dont_ask fails closed; plan maps to default plus Qoder's Plan work state; and bypass_permissions is for explicitly trusted runs only.

Qoder falls back to default when a non-default mode is requested outside a trusted directory. Check actualPermissionMode in result.json; no requested mode replaces diff review.

Authorization model

Delegation is something the human opts into. Once they ask for it, landing verified, gate-passing work is the contract. Two limits remain: surface, do not absorb (report Qoder's design decisions and non-blocking deviations) and stop for scope changes (ask before expanding beyond the brief). See references/review-and-land.md.

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Qoder Delegate AI skill do?

Delegate a coding task to the Qoder CLI (`qodercli`) as a background implementer, then review its diff and land it yourself. Use this whenever the user asks to have Qoder implement, fix, refactor, or run a queue of coding tasks while the orchestrator remains the reviewer. DO NOT USE for tasks small enough to do inline, or when the user wants code written directly without delegation.

Why use Qoder Delegate on TypingMind?

Because you install it once and use it with any model. Qoder Delegate is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Qoder Delegate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/amElnagdy/delegate-skills/tree/master/skills/qoder-delegate. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Qoder Delegate?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Qoder Delegate?

As many as you like. As long as a model supports skills, you can use Qoder Delegate with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Qoder Delegate AI skill free?

Yes. It is published on GitHub by amElnagdy under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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