📋 Copy Blueprint Command { } Inspect JSON API Ground-Truth Source ↗

⚡ 1-Click Agent & Developer Install

Zero Auth · Ready for Grok Bot, Claude Code & Cursor

### 1. The Workflow Bottleneck & Problem Statement A single monolithic agent prompt often loses focus when asked to research competitors, write production code, and run visual QA in one session. ### 2. Synthesized Agent Architecture & Connected Stack **Hierarchical Multi-Agent Team Orchestration (Research, Code & QA)** (`multi-bot-team-manager`) is a verified production blueprint curated from **@petergyang**'s real-world implementation. - **Primary Capability:** Runs a coordinated 3-bot specialist loop—Research Bot gathers specs, Builder Bot ships the branch, and QA Bot runs Playwright verification before reporting. - **Connected Tool Stack:** Grok Bot Specialists, GitHub MCP, Playwright MCP, Slack - **Execution Governance:** `Read-Only Discovery` → `Deterministic Policy Check` → `Ask-First Human Approval` - **Certified Builder Source:** [@petergyang](https://x.com/petergyang/status/2045385284081266816) ### 3. Step-by-Step Implementation Blueprint 1. **Trigger & Data Ingestion:** Configure your agent routine to watch **Grok Bot Specialists** on a scheduled cadence or event webhook. Treat all external text as untrusted data inside XML fences. 2. **Cross-System Enrichment & Verification:** Query **GitHub MCP** to validate live capacity, account status, or code state before generating recommendations. 3. **Human-in-the-Loop Action Staging:** Post a structured summary card to **Slack** with 1-click approve/edit controls so your team retains full oversight. ### 4. Copy-Paste System Prompt & Routine Configuration ```text Implement the 'Hierarchical Multi-Agent Team Orchestration (Research, Code & QA)' workflow curated with @petergyang. 1. OBJECTIVE: Runs a coordinated 3-bot specialist loop—Research Bot gathers specs, Builder Bot ships the branch, and QA Bot runs Playwright verification before reporting. 2. CONNECTED TOOL STACK: Grok Bot Specialists, GitHub MCP, Playwright MCP, Slack 3. STEP-BY-STEP EXECUTION LOOP: - Step A (Ingest & Ground): Query live inputs from Grok Bot Specialists and cross-reference state in GitHub MCP. - Step B (Analyze & Validate): Apply strict filtering rules, verify schema/policy constraints, and flag any anomalies or missing fields. - Step C (Stage & Report): Prepare the structured output, draft replies/tickets in Slack, and request human confirmation before executing any external send or production write. ``` ### 5. Measured ROI & Production Impact - **Verified Outcome:** Delivers 3x higher first-pass PR merge rates by separating implementation from independent QA verification. - **Builder Portfolio:** [Explore all capabilities by @petergyang →](/u/petergyang)

Tags: #multi-bot-team-manager#use-case#chief-of-staff#petergyang#grok-bot-specialists#github-mcp

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