team-lifecycle-v4

Orchestrate multi-agent software development from specification through validation with role routing and checkpoints.

1|Updated May 12, 2026
One-click install
npx skills add https://github.com/tcytan/tecton --skill team-lifecycle-v4-tcytan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team-lifecycle-v4
Source: https://github.com/tcytan/tecton/tree/main/.claude/skills/team-lifecycle-v4
Command: npx skills add https://github.com/tcytan/tecton --skill team-lifecycle-v4-tcytan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill coordinates a complete multi-agent software development lifecycle—turning a user’s task request into specifications, an implementation plan, code changes, testing, and reviews—while maintaining structured dependencies and checkpoints.

Core Features & Use Cases

  • Plan-to-execution orchestration: Routes work through analyst, writer, planner, executor, tester, reviewer, and supervisor roles with a dependency DAG.
  • Checkpoint supervision for spec and plan consistency: Uses a resident supervisor agent to validate consistency between spec artifacts and to block or warn when quality thresholds are not met.
  • Sessionized collaboration and knowledge transfer: Maintains a session directory with artifacts, wisdom, and an exploration cache so later tasks can reuse earlier findings.

Quick Start

Kick off a full lifecycle workflow by giving the Skill a clear task description and (optionally) a desired role using the prompt: "Implement an end-to-end unified gateway flow for API and AI requests with route classification, auth, shared policies, and access logging, matching V1 scope."

Frequently Asked Questions about team-lifecycle-v4

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate multi-agent software development from specification to testing?

Multi-agent software development orchestration routes work through analyst, writer, planner, executor, tester, reviewer, and supervisor roles using a dependency DAG. This coordinates the complete lifecycle from specifications to code changes, testing, and reviews while maintaining structured dependencies and supervised checkpoints.

What is checkpoint supervision for spec and plan consistency?

Checkpoint supervision for spec and plan consistency uses a resident supervisor agent to validate alignment between specification artifacts and implementation plans. It blocks or warns execution when quality thresholds are not met, ensuring structured dependencies are respected throughout the workflow.

How do I start an end-to-end multi-agent development workflow?

To start an end-to-end multi-agent development workflow, provide a clear task description and optionally specify a desired role. The orchestration routes work through analyst, planner, executor, tester, and reviewer roles, managing session artifacts and checkpoint verdicts automatically.

Does multi-agent workflow orchestration support role routing for specific tasks?

Multi-agent workflow orchestration supports role routing via the --role parameter, allowing you to designate specific agents like writer, planner, or executor for targeted tasks. This ensures dependency-respecting execution across the full software development lifecycle.

Can I reuse findings from earlier multi-agent development sessions?

You can reuse findings from earlier multi-agent development sessions through sessionized collaboration and knowledge transfer. The workflow maintains a session directory containing artifacts, wisdom, and an exploration cache so later tasks can build upon earlier discoveries.