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team-lifecycle-v3团队生命周期 v3

Agent Skill

team-lifecycle-v3 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

233

周安装

10

GitHub Stars

1,922

下载量

82
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:team-lifecycle-v3(团队生命周期 v3)
来源仓库:https://github.com/catlog22/claude-code-workflow
仓库路径:skills/team-lifecycle-v3
安装命令:
npx skills add https://github.com/catlog22/claude-code-workflow --skill team-lifecycle-v3
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/catlog22/claude-code-workflow --skill team-lifecycle-v3

简介

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。

  • 可结合来源仓库、安装命令和原始 README 继续核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 适用于团队生命周期管理、阶段划分或演进策略等场景。
  • 支持多宿主环境,便于在不同 AI 工具间迁移使用。

SKILL.md

Team Lifecycle v3

Enhanced lifecycle: specification → implementation → testing → review with parallel execution, conditional routing, and dynamic specialist role injection.

Purpose

Team Lifecycle v3 orchestrates multi-agent software development workflows from initial requirements through implementation, testing, and review. It automatically coordinates specialized agents, manages artifact dependencies, validates quality gates, and dynamically injects expert roles based on task complexity.

Key Capabilities:

  • Parallel execution of independent tasks
  • Dynamic specialist role injection (security, performance, data, devops, ML)
  • Artifact-based validation gating
  • Conditional routing based on complexity assessment
  • Priority-based task scheduling (P0/P1/P2)
  • Quality checkpoints with user feedback loops

Problem Statement

Complex software development tasks require diverse expertise—security audits, performance optimization, data pipeline design, DevOps configuration, and ML model integration. Coordinating multiple specialized agents manually is error-prone, inefficient, and difficult to scale. Developers face several challenges:

  1. Manual Coordination Overhead: Tracking dependencies between agents, ensuring artifacts are validated before downstream work begins, and managing parallel execution requires constant human oversight.
  2. Expertise Gaps: Not all tasks require all specialists. Injecting the right expert roles at the right time based on task complexity and keywords is a manual, subjective process prone to under- or over-staffing.
  3. Quality Assurance Bottlenecks: Without automated quality gates and validation checkpoints, defects propagate downstream, requiring expensive rework.
  4. Lack of Observability: Understanding where a multi-agent workflow is stalled, which artifacts are blocking progress, and what actions are needed requires manual inspection of scattered state.

Team Lifecycle v3 solves these problems by providing an event-driven orchestration system that automatically manages agent coordination, artifact validation, specialist injection, and quality checkpoints—turning multi-agent workflows into a repeatable, observable, and scalable process.

Goals

  • Automated Agent Coordination: Spawn workers based on task dependencies, manage parallel execution, and handle completion callbacks without manual intervention.
  • Artifact-Based Validation Gating: Block downstream work until upstream artifacts pass validation, preventing defect propagation.
  • Dynamic Specialist Injection: Analyze task descriptions and complexity to automatically inject expert roles (security, performance, data, devops, ML) when needed.
  • Conditional Routing: Route tasks to appropriate implementation strategies (direct, orchestrated, architecture-first) based on quantifiable complexity assessment.
  • Priority-Based Scheduling: Execute critical-path tasks (P0) before dependent tasks (P1/P2), optimizing workflow throughput.
  • Quality Checkpoints: Pause at key milestones for user review, with actionable commands (resume, improve, revise, recheck) to maintain quality.
  • Session Persistence: Support pause/resume across process restarts, preserving artifact registry and task state.
  • Observability: Provide clear status reporting, task state visibility, and actionable error messages.

Non-Goals

  • General-Purpose Workflow Engine: Team Lifecycle v3 is specialized for software development workflows with agent coordination. It is not a generic DAG executor or distributed job scheduler.
  • Project Management Tool: The system does not manage backlogs, sprints, or roadmaps. It executes individual tasks with clear requirements.
  • Prescriptive Agent Implementations: The skill defines role specifications and contracts but does not mandate specific agent implementations or tools.
  • Ticket/PR Management: State transitions, comments, and PR creation are the responsibility of individual agents using their own tools, not the orchestrator.
  • Approval/Sandbox Policies: The skill does not enforce specific approval workflows or sandboxing. Implementations may add these based on their trust model.
  • Real-Time Collaboration: The system is event-driven with asynchronous agent execution, not a real-time collaborative editing environment.

Mandatory Reading

Before using this skill, read these documents to understand the foundational concepts:

DocumentPurposePriority
specs/core-concepts.mdFoundational principles: team-worker architecture, artifact contracts, quality gating, dynamic role injection, priority schedulingP0 - Critical
specs/artifact-contract-spec.mdArtifact manifest schema and validation rulesP0 - Critical
specs/execution-flow.mdEnd-to-end execution walkthrough with pipeline definitionsP1 - High

Documentation Structure

This skill is organized into the following directories:

/roles - Agent Role Specifications

  • coordinator/: Orchestrator agent that manages workflow, task dependencies, and role injection

- role.md: Coordinator specification - commands/: User command handlers (dispatch, monitor)

  • pipeline/: Core pipeline roles (always present)

- analyst.md, writer.md, planner.md, executor.md, tester.md, reviewer.md - architect.md, fe-developer.md, fe-qa.md (consulting roles)

  • specialists/: Specialist roles (dynamically injected)

- orchestrator.role.md, security-expert.role.md, performance-optimizer.role.md - data-engineer.role.md, devops-engineer.role.md, ml-engineer.role.md

/specs - Specifications and Standards

  • core-concepts.md: Foundational principles (mandatory reading)
  • execution-flow.md: End-to-end execution walkthrough
  • artifact-contract-spec.md: Artifact manifest schema
  • quality-gates.md: Quality validation criteria
  • document-standards.md: Document formatting standards
  • team-config.json: Role registry and pipeline definitions

/templates - Document Templates

  • product-brief.md: DRAFT-001 template
  • requirements-prd.md: DRAFT-002 template
  • architecture-doc.md: DRAFT-003 template
  • epics-template.md: DRAFT-004 template

/subagents - Utility Subagents

  • discuss-subagent.md: 3-round discussion protocol
  • explorer-subagent.md: Shared exploration with cache
  • doc-generator-subagent.md: Template-based doc generation

Quick Start

Basic Usage

Skill(skill="team-lifecycle-v3", args="<task description>")

Example:

Skill(skill="team-lifecycle-v3", args="Implement user authentication with OAuth2")

Execution Flow

  1. User provides task description → Coordinator clarifies requirements
  2. Coordinator creates team → TeamCreate with session folder
  3. Coordinator analyzes complexity → Injects specialist roles if needed
  4. Coordinator creates task chain → Based on pipeline selection (spec-only, impl-only, full-lifecycle)
  5. Coordinator spawns first batch → Workers execute in background
  6. Workers report completion → SendMessage callback to coordinator
  7. Coordinator advances pipeline → Spawns next ready tasks
  8. Quality checkpoints → User can review, improve, or revise
  9. Coordinator generates report → Final summary and completion action

User Commands

During execution, you can use these commands:

CommandAction
check / statusView current execution status
resume / continueAdvance to next step
revise <TASK-ID> [feedback]Revise specific task with feedback
feedback <text>Provide feedback for targeted revision
recheckRe-run quality check
improve [dimension]Auto-improve weakest quality dimension

Pipeline Options

The coordinator selects the appropriate pipeline based on task requirements:

Spec-only Pipeline (6 tasks)

RESEARCH-001 → DRAFT-001 → DRAFT-002 → DRAFT-003 → DRAFT-004 → QUALITY-001

Use for: Documentation, requirements gathering, design work

Impl-only Pipeline (4 tasks)

PLAN-001 → IMPL-001 → TEST-001 + REVIEW-001

Use for: Quick implementations with clear requirements

Full-lifecycle Pipeline (10 tasks)

[Spec pipeline] → PLAN-001 → IMPL-001 → TEST-001 + REVIEW-001

Use for: Complete feature development from requirements to implementation

Advanced Features

Dynamic Role Injection

Specialist roles are automatically injected based on keywords in task description:

  • security, vulnerability, OWASPsecurity-expert
  • performance, optimization, bottleneckperformance-optimizer
  • data, pipeline, ETL, schemadata-engineer
  • devops, CI/CD, deployment, dockerdevops-engineer
  • ML, model, training, inferenceml-engineer

Conditional Routing

PLAN-001 assesses complexity and routes to appropriate implementation strategy:

  • Low complexity (1-2 modules) → Direct implementation
  • Medium complexity (3-4 modules) → Orchestrated parallel implementation
  • High complexity (5+ modules) → Architecture design + orchestrated implementation

Quality Checkpoints

At key milestones, the coordinator pauses for user review:

  • Spec Phase Complete (QUALITY-001): Review specification quality, choose to proceed, improve, or revise
  • Implementation Complete: Review code quality and test coverage

Troubleshooting

Common Issues

IssueSolution
Pipeline stalledUse status to check task states, resume to advance
Quality gate failedUse improve to auto-improve or revise <TASK-ID> to manually fix
Wrong specialist injectedProvide clearer keywords in task description
Session lost after restartUse session resume to restore from .workflow/.team/TLS-*

Error Handling

ScenarioResolution
Unknown commandError with available command list
Role spec file not foundError with expected path
Artifact validation failsBlock downstream, trigger fix loop
Dynamic role injection failsLog warning, continue with core roles
Parallel merge timeoutReport stall, prompt user intervention

Reference Documents

For detailed information, see:

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02

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能力概览

能力 1

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能力 2

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能力 3

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能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

32.7%
按下载量换算27

Claude

29.17%
按下载量换算24

Cursor

20.49%
按下载量换算17

Gemini CLI

8.99%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/catlog22/claude-code-workflow --skill team-lifecycle-v3 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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