offeru

name	offeru
description	Use when operating OfferU through Claude Code or another external agent. Provides CLI-first discovery, atomic operations, safe workflow planning, and human-confirmed side-effect execution.

OfferU Agent-Native Operating Skill

Work from backend/ unless the user asks for frontend or extension work.

First commands

Run these before controlling the product:

python -m app.cli doctor --pretty
python -m app.cli manifest --pretty
python -m app.cli run agent_playbook --arg detail=full --pretty

Use the returned JSON as the live source of truth. Do not guess API paths or operation parameters.

Control rules

• Prefer python -m app.cli run <operation> over raw HTTP.
• One CLI call performs one atomic operation.
• Discover operations with python -m app.cli ops --pretty.
• Inspect parameters with python -m app.cli schema <operation> --pretty.
• Use python -m app.cli run workflow_catalog --pretty to see built-in workflows.
• Use python -m app.cli run workflow_plan --arg goal="<goal>" --pretty to generate a command sequence.
• Read operations execute directly.
• Operations with write, llm, or external side effects must be dry-run first.
• Never auto-submit applications, send emails, or message external parties.

Core workflows

• Daily review: workflow_plan --arg goal="今日岗位概览"
• Batch triage: workflow_plan --arg goal="批量筛选岗位"
• Tailored resume: workflow_plan --arg goal="定制简历"
• Application pipeline: workflow_plan --arg goal="创建投递待办"
• Workspace handoff: workflow_plan --arg goal="当前页面上下文接管"

Validation

After changing backend agent/CLI behavior, run:

python -m compileall app tests
python -m unittest tests.test_cli_ops -v