Create a conventional commit for all uncommitted changes
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
git status
git diff HEAD
Add untracked and changed files. Be selective - never stage files that contain secrets (.env, credentials, etc.).
.proto files changed: ./manage.py proto./manage.py lint -s backend./manage.py lint -s uiConventional commit format with a Uniffy domain scope:
<type>(<scope>): <short description>
<optional body with more detail>
Types: feat, fix, refactor, docs, test, chore, perf, style
Scopes (match domain directory names):
auth, users, organizations, groups, notes, files, calendar, projects, tasks, search, bookmarks, permissions, settings, attachments, agents, chat, calls, audit, platform, mailui, theme, editorproto, db, worker, config, cicore, sharedExamples:
feat(notes): add collaborative editing support
fix(calendar): correct timezone offset in recurring events
refactor(auth): extract token validation into shared utility
chore(proto): regenerate protobuf definitions
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Create a Product Requirements Document from the current conversation and save it under `.agents/local/plans/`. Use when the user asks for a PRD, product specification, or requirements document for an Uniffy feature.
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Execute or resume an implementation plan from `.agents/local/plans/`, keeping its companion backlog and validation evidence current. Use when the user asks to implement a saved plan or continue planned multi-phase work.
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Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
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Audit the in-tree model catalog against each provider's live API (Anthropic, OpenAI, Google, OpenRouter, xAI) using the keys in .env. Surfaces new models the catalog is missing, catalog models a provider no longer returns, and price/context drift on the curated OpenRouter subset, so the catalog stays current. Works on both stacks (docker containers or host venv). Run periodically or when a provider ships new models / changes pricing.
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Create a comprehensive Uniffy feature plan in `.agents/local/plans/` through deep codebase analysis, applicable rules, verified patterns, risks, tests, and executable validation steps. Use when the user asks to plan a feature or prepare implementation work without writing product code.
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Check the current branch for an existing PR and either update or create one with an auto-generated description based on all commits since diverging from main.
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