Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
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Delegate coding tasks to Aider (`aider`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
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설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
aider implementer (Aider) and then review its diff yourself.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.
Aider commits by default. Two of its defaults would destroy the reviewable diff this skill exists to produce:
--auto-commits (default True) - Aider commits its own edits after each exchange.--dirty-commits (default True) - 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.
aider CLI is not installed, or no model is configured for it.python -m pip install aider-chat, or the standalone installer from the
Aider install docs.OPENAI_API_KEY,
ANTHROPIC_API_KEY, …) or its own config; see Aider's model docs.aider --version succeeds.--cd at, the target git repository.Aider uses its own configured model when --model is omitted. Pass --model <name> to pick another.
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>/v1
Three things differ from a hosted provider:
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.OPENAI_API_KEY. The client library
requires the header even when the server ignores its value.diff format, 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.
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.
Run these five steps per task. Steps 1, 4, and 5 require judgment; 2 and 3 are mechanical.
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.
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Automate 2chat tasks via Rube MCP (Composio). Always search tools first for current schemas.
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Usar al iniciar o mejorar un proyecto de IA: diagnostica código y restricciones, propone skills existentes y redacta tareas y un plan de implementación en español.
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Usar para crear o mejorar una skill de Andru.ia: define entradas y resultados, redacta SKILL.md con ejemplos y límites, valida la estructura y prepara una PR.
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Usar tras definir el sector de un proyecto: prepara un dossier en español con contexto, normas aplicables, patrones UX y riesgos, distinguiendo fuentes verificadas de hipótesis.
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AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style, summarize documents into decks, add AI voice narration, and export pages/audio. Use f
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