teamlead

Orchestrates full-cycle billing tasks by routing work across backend, frontend, testing, and reviewer roles.

Updated Jun 2, 2026
One-click install
npx skills add https://github.com/lfuuu/claude-rules --skill teamlead-lfuuu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: teamlead
Source: https://github.com/lfuuu/claude-rules/tree/main/ai-billing/skills/teamlead
Command: npx skills add https://github.com/lfuuu/claude-rules --skill teamlead-lfuuu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Coordinating multi-role development work on a billing project is error-prone: tasks touch money-related logic, span backend and frontend, and require review and testing discipline. This Skill acts as a teamlead orchestrator that decomposes full-cycle tasks and routes them to the right role skills without writing code itself. ## Core Features & Use Cases - Role-based routing: A routing table maps task signals (pricing, Prisma, UI components, docs, tests, diffs) to the correct delegate skill: /backend, /frontend, /techwriter, /testing, /reviewer. - Billing-specific guardrails: Enforces backend-first sequencing for fullstack work, mandatory review for money-related changes, a 2-round reviewer iteration limit, and escalation to the Architect for ambiguous or business-rule changes. - Pipeline governance: Inherits a core pipeline (stages 0-11) with defined stop points for plan approval, automatic feature-branch commits, and Architect approval for merges to master. - Use Case: You receive a task to add a new usage-based pricing tier. Invoke this Skill to have it decomposed, implemented by backend then frontend, validated by testing, reviewed, and reported end to end. ## Quick Start Invoke the teamlead skill with a task description or a path to a todo file such as docs/todo/NNN-slug.md to have it decomposed and routed through the project roles.

Frequently Asked Questions about teamlead

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

FAQPage Schema
How do I orchestrate a fullstack feature across multiple AI agent roles?

Invoke the teamlead skill with a task description or a todo file path. It decomposes the work, routes backend changes first as the source of truth, then frontend, and finishes with testing and review before reporting.

How does the teamlead skill decide which role handles a task?

It uses a routing table based on task signals: pricing and Prisma work goes to backend, UI pages and forms to frontend, docs to techwriter, test runs to testing, and diff review to reviewer. Ambiguous or architectural tasks escalate to the Architect.

Can backend and frontend roles run in parallel for fullstack tasks?

No. The skill explicitly forbids parallel execution for fullstack work. Backend runs first as the source of truth for billing logic, and frontend follows sequentially.

What happens when the reviewer keeps requesting changes?

The skill allows a maximum of two CHANGES_REQUESTED rounds. If blocking issues remain after the second round, the task escalates to the Architect instead of looping further.

When does the teamlead skill stop and wait for human approval?

It stops for plan approval at the planning stage and requires Architect permission to merge into master. Commits and pushes to feature branches happen automatically, and production database access is always forbidden.