JsonLee12138

workflow-orchestrator

Governance-only workflow plan entry for controller and human sessions. Use when the user asks to generate, approve, activate, or close workflow plans through `agent-team workflow plan`.

worker-reply-main

Worker-first reporting entry for sending completion, blocker, or decision-needed messages back to main through `agent-team reply-main`.

worker-recovery

Worker-first recovery entry for resuming the current assignment from file artifacts. Use when a worker needs to recover task context, continue work, or re-anchor after a pause.

worker-inspector

Read-only worker inspection skill for controller and human sessions. Use when the user wants to view worker status without opening a worker or sending a reply.

worker-dispatch

Controller-side worker dispatch entry for opening workers, checking targeted worker status, and replying to workers with existing `agent-team worker` and `agent-team reply` commands.

Acceptance-first TDD workflow for solo implementation work. Use when handling a coding change directly and you want to follow a disciplined sequence: read context, define acceptance criteria, write failing tests when feasible, implement, verify, and conclude with passed, failed, or skipped with reason.

task-splitting

Decompose requirement, design, or brainstorming documents into reviewable task drafts with one function per task and one file per task, then create `agent-team` task packages only after explicit approval. Use when turning a document into tasks, splitting oversized tasks, validating task boundaries, or preparing approved task files for `agent-team task create`.

task-orchestrator

Scenario-first task lifecycle entry for controller and human sessions. Use when the user asks to create, assign, complete, archive, or inspect task flow through `agent-team task` commands.

task-inspector

Read-only task inspection skill for controller, worker, and human sessions. Use when the user wants to view task status, inspect a task, or list tasks without changing lifecycle state.

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

测试与质量

skill-maintenance

Skill cache maintenance skill for checking, updating, and cleaning installed skill artifacts. Use when the user asks to inspect or refresh skill cache state.

rules-maintenance

Rule refresh skill for syncing built-in rule templates and generated rule artifacts. Use when the user asks to sync rules or fix rule drift.

role-repo-manager

Role source management skill for finding, adding, listing, checking, updating, and removing role repositories. Use when the user is managing where roles come from rather than browsing the catalog.

role-creator

Create or update role-specific skill packages with deterministic files. Supports output to skills/ (open-source publishing) or .agent-team/teams/ (team use). Triggers: 创建角色, 新建 role, create role, 更新 role scope, edit role, update role, add role skill, 修改角色配置. Use when the user asks to create, update, or edit frontend/backend/product (or custom) role skills with auto-generated role fields, guided brainstorming fallback, and curated skills selection.

前端开发Skill与智能体开发

role-browser

Read-only local role browsing skill for controller, worker, and human sessions. Use when the user wants to list available local roles without creating roles or managing repositories.

qa-expert

This skill should be used when establishing comprehensive QA testing processes for any software project. Use when creating test strategies, writing test cases following Google Testing Standards, executing test plans, tracking bugs with P0-P4 classification, calculating quality metrics, or generating progress reports. Includes autonomous execution capability via master prompts and complete documentation templates for third-party QA team handoffs. Implements OWASP security testing and achieves 90% coverage targets.

内容创作者测试与质量写作与文案

prompt-engineering-patterns

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.