aider-delegate – skill Lập trình cho agent AI
Giao tác vụ lập trình cho Aider (`aider`) chỉ khi người dùng yêu cầu rõ ràng, trong khi orchestrator giữ trách nhiệm review và đưa kết quả vào.
Cài skill aider-delegate bằng một lệnh
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Claude Code
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Gọi trong Claude Code: /aider-delegate – rồi mô tả công việc bạn muốn làm.
Codex
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Gọi trong Codex: $aider-delegate – rồi mô tả công việc bạn muốn làm.
Hermes Agent
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Gọi trong Hermes Agent: /aider-delegate – rồi mô tả công việc bạn muốn làm.
DeepSeek
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Gọi trong DeepSeek: /aider-delegate – rồi mô tả công việc bạn muốn làm.
Nội dung SKILL.md
Nội dung SKILL.md gốc bằng tiếng Anh.
Aider Delegate
When to Use
- You want to delegate a bounded coding task to a separate
aiderimplementer (Aider) and then review its diff yourself. - The user explicitly asked for delegation to this implementer.
You are the orchestrator. Hand a bounded coding task to a separate implementer - Aider - then
review what it produced and land it yourself. You write the brief and own the judgment; Aider does the
typing in its own run; you verify and commit.
The loop needs only a shell command and file access, so any comparable orchestrator can drive it.
Runtime availability and authorization
This tracked bundle has documentation only: scripts/relay.mjs is absent. Do not run the documented path or automatically install it/Aider. Use an already reviewed installed runtime, or stop that execution path and prepare a separately authorized pinned installation. CLI flags/defaults and result semantics below describe an upstream version, not locally verified behavior. Review actual runtime/config/hooks before dispatch.
Delegation sends selected code, brief and repository context to the configured provider; confirm the intended endpoint/data policy and cost limit. Use a non-secret placeholder only for a trusted local endpoint that ignores credentials, never send a real provider key to an arbitrary api-base. Logs/history can retain private code and keys; protect paths and retention. Disable or review repository lint/test commands before execution. A dry run can still write history/cache and incur model costs. The orchestrator retains publication/commit authority from the actual task; this skill alone does not grant it.
The one thing to know about Aider
Aider commits by default. Two of its defaults would destroy the reviewable diff this skill exists
to produce:
--auto-commits(defaultTrue) - Aider commits its own edits after each exchange.--dirty-commits(defaultTrue) - Aider commits your pre-existing uncommitted work before it
starts editing.
The relay always passes --no-auto-commits and --no-dirty-commits, and neither is configurable
through it. If you ever drive aider by hand instead of through the relay, pass both yourself, or the
work lands as commits you never reviewed. The relay also passes --no-gitignore, because Aider
otherwise writes .aider* into .gitignore on startup and dirties the tree you are about to read.
When NOT to use this
- The task is small enough to do inline; delegation overhead is not worth it.
- The
aiderCLI is not installed, or no model is configured for it. - You want the implementer to manage its own commits. Aider can, but this skill deliberately turns
that off - the diff is the deliverable.
Prerequisites (check once)
1. Install Aider - python -m pip install aider-chat, or the standalone installer from the
[Aider install docs](https://aider.chat/docs/install.html).
2. Configure a model. Aider reads provider keys from the environment (OPENAI_API_KEY,
ANTHROPIC_API_KEY, …) or its own config; see [Aider's model docs](https://aider.chat/docs/llms.html).
3. Confirm aider --version succeeds.
4. Work in, or point --cd at, the target git repository.
Choose the model
Aider uses its own configured model when --model is omitted. Pass --model <name> to pick another.
Local and self-hosted models
Aider talks to any OpenAI-compatible endpoint, so this is also the skill for delegating to a model
running on the user's own hardware - llama.cpp's server, Ollama, vLLM, LM Studio, or anything else
that serves the same API. Pair --model with --api-base:
node "<skill-dir>/scripts/relay.mjs" --brief brief.txt --cd /path/to/repo \
--model openai/<served-model-name> --api-base http://127.0.0.1:<port>/v1Three things differ from a hosted provider:
- The
openai/prefix is required. It tells Aider to speak the OpenAI protocol to your endpoint;
the part after it is whatever name your server reports, not a provider catalog name.
- A placeholder key is still needed. Export any non-empty
OPENAI_API_KEY. The client library
requires the header even when the server ignores its value.
- Ask for a smaller edit format. Local models often fail Aider's default
diffformat, which
requires exact search/replace blocks. --edit-format whole trades tokens for reliability; keep the
brief's scope tight with --file so whole-file rewrites stay cheap.
A local endpoint that is not running looks like a hang, not an error: Aider retries the connection
until the relay's --timeout watchdog fires and reports status: "timeout". Confirm the server is up
before dispatching a long brief.
Staying offline
The listed flags reduce known automatic requests; they do not prove offline operation. Model requests, repository config/lint/hooks and dependencies may still use the network. Enforce egress outside the child when offline behavior is required.
No account or provider registration is involved: Aider is a pip install, the endpoint is yours, and
OPENAI_API_KEY only has to be non-empty. The relay pins the flags that would otherwise reach the
network on their own - --no-check-update, --no-analytics (Aider's own default is random, which
opts some sessions in by itself), and --no-detect-urls, without which Aider offers to scrape any URL
in the brief and --yes-always accepts that offer silently.
--no-suggest-shell-commands closes the remaining path by which a run could reach the network without
being asked to. What stays outside the relay's control is the brief itself: instructions that tell
Aider to install a package or call an API will still be carried out, and --auto-lint runs the
repository's own tooling. Offline here means nothing in the dispatch path reaches out on its own - not
that a sandbox is stopping it.
The loop
Run these five steps per task. Steps 1, 4, and 5 require judgment; 2 and 3 are mechanical.
1. Write the brief
Aider sees only the text you send plus the files in its editing scope - no chat history or shared
context. Include the goal, current state, what to change, what to leave untouched, the project's
actual gates, and a report contract. Keep one task per brief. See
[references/writing-the-brief.md](references/writing-the-brief.md).
2. Dispatch
Use the bundled helper. It wraps Aider's headless --message-file mode, captures the run, and writes
result.json. (<skill-dir> is the installed folder containing this SKILL.md.)
node "<skill-dir>/scripts/relay.mjs" --brief brief.txt --cd /path/to/repo
# choose a model: add --model <name>
# point at an OpenAI-compatible server: add --api-base <url>
# scope the edit surface: add --file <path> (repeatable), --read <path> for context only
# dry run, no files modified: add --read-only
# continue the previous chat: add --resume-last (delta brief only)
# hard time limit (watchdog): add --timeout 2h (the 30m default suits short runs; implementation briefs routinely need 1-2h)
# see all options: node .../relay.mjs --helpThe child process's cwd pins the workspace. The brief is delivered with --message-file, so it never
rides argv: it stays out of the host process list and clear of the OS argument size cap. The relay
writes artifacts under the system temp dir by default and never commits. See
[references/dispatch-and-poll.md](references/dispatch-and-poll.md).
3. Wait for completion
The helper blocks until Aider 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 aider exits 127 and writes status: "aider_unavailable".
Trust process state and the working tree over a progress display. Completion means the process exited
and result.json exists. Aider's report is the finalMessage field in result.json (also printed in
full on stdout between the report markers).
Aider exits 0 even when it never reached a model, so the relay scans the run for Aider's own endpoint
and authentication errors and reports status: "failed" when it finds one. Treat a failed status
with an error mentioning the endpoint as a configuration problem, not a coding failure.
4. Review - do not trust the self-report
Treat Aider's final message and gate claims as claims:
- Re-run the project's gates yourself.
- Read the diff against the brief, starting with
touchedFiles. - Run relevant guard skills if installed.
- Round-trip migrations and grep for dangling references after removals or renames.
Aider's --auto-lint is on by default, so it may have already run a linter and fixed its own
complaints. That is Aider's lint, not your gates - run yours anyway. See
[references/review-and-land.md](references/review-and-land.md).
5. Land it
The implementer edits the working tree; **the
… (nội dung đầy đủ có trong gói tải về)
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