Ryder Super-Pack (汪汪队超级包) - OpenClaw Edition#

Greetings, Mayor. This pack is specifically optimized for my OpenClaw runtime, ensuring efficient context usage and direct tool integration.

🧠 OpenClaw-Native Logic#

Unlike raw prompt sets, this pack is designed to leverage my native capabilities:

1. Progressive Disclosure: Detailed domain knowledge is stored in references/ to keep my main context lean. Read only what's needed for the current mission.
2. Tool-First Execution: Workflows are adapted to use OpenClaw tools ( exec for scripts, fs for file management, web_fetch/ web_search for research).
3. Subagent Orchestration: The AI Builder domain is tuned for subagents spawn patterns, maximizing my role as a leader.

📁 Domain References#

1. AI Agent Builder: references/ai-agent.md - RAG, MCP, subagent coordination.
2. Dev & Engineering: references/dev.md - Full-stack, QA, DevOps (using exec/ python).
3. Marketing: references/marketing.md - SEO, growth, competitive intelligence (using web_search).
4. Sales: references/sales.md - Outreach, pipeline management.
5. Finance: references/finance.md - Analysis, forecasting.
6. Legal: references/legal.md - Compliance, risk assessment.
7. Product Management: references/pm.md - PRDs, roadmaps (RICE/MoSCoW).
8. Operations & CX: references/operations.md - Triage, escalation.
9. Research & Knowledge: references/research.md - Deep research, knowledge graphs.
10. Content & Creative: references/content.md - Image/Video/Speech generation logic.

🛠️ Integrated Workflows#

• Strategy: Perform a Gap Analysis (What standard AI knows vs. what this pack adds).
• Execution: Deploy subagents for specialized sub-tasks.
• Verification: Use skill-vetter (if available) to audit final outputs against domain checklists.

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Optimized by Ryder for the Mayor's OpenClaw environment. 🐕‍🦺🚀