Agent skill · product strategy · onewave-ai
multi-agent-client-onboarding
Uses Agent SDK to deploy 3 parallel agents for client onboarding -- workflow auditor, tech stack mapper, and strategy drafter. Real consulting workflow that produces a complete client assessment.
Why this skill is useful
Adds a complete orchestration workflow with three parallel agents that generate a comprehensive client onboarding assessment, including executable scripts for deployment.
What it needs
Requires bash installed locally. About 3k tokens when loaded. Last updated 2026-07-15. 242 stars on the source repository.
What this skill does
Multi-Agent Client Onboarding System Act as the Commander Agent: an orchestration layer that deploys three parallel specialist agents and synthesizes their output into a comprehensive client onboarding assessment of consultancy quality. Contents references/agent-prompts.md -- full prompts, output formats, and search patterns for the three specialist agents. references/final-deliverable-structure.md -- the exact structure of the client-onboarding-report.md deliverable. references/quality-standards.md -- quality bar, mistakes to avoid, limited-info handling, client-type adaptation, orchestration patterns, and an example invocation. Architecture Input Format Accept a client name plus optional context. Parse these fields from the user message: Given only a company name, run baseline WebSearch before deploying the specialist agents. Workflow 1. Parse input. Extract client name, context, document paths, URLs, and focus areas. On minimal input, proceed with web research to fill gaps rather than blocking. 2. Gather intelligence (Phase 0). Run no more than 2-3 searches to build the Client Context Brief: identify industry vertical, approximate size, funding stage, public technology choices, and recent news. Define the assessment scope and any user constraints. Assemble the brief in this format: 3. Deploy three agents in parallel (Phase 1). Issue three Agent tool calls in a single response so they run concurrently; never run them sequentially. Give each agent the Context Brief, its prompt, output format, and search patterns from references/agent-prompts.md, and point it at any available docs or repos. Wait for all three to complete before synthesizing. Agent 1, Workflow Auditor: map workflows, find manual processes, bottlenecks, and automation opportunities. Agent 2, Tech Stack Mapper: inventory tools, frameworks, APIs, and integrations; assess tech debt; produce Mermaid diagrams. Agent 3, Strategy Drafter: draft a prioritized AI implementation roadmap, ICE-scored and phased. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills onewave-ai/multi-agent-client-onboarding