A sophisticated orchestration skill that automates the generation of influencer marketing plans by retrieving rules, cases, and pricing from RAGTOP knowledge bases.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ragtop-planner
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ragtop-planner using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Ragtop Planner?
The Ragtop Planner is a professional-grade automation tool built for the Openclaw ecosystem. It streamlines the complex process of influencer (KOL) promotion planning by interfacing with RAGTOP APIs to perform structured data retrieval across multiple knowledge domains. This skill eliminates manual research by distilling brand rules, summarizing successful campaign patterns, and filtering influencer databases to produce comprehensive, data-backed marketing strategies.
By integrating these Openclaw Skills into your workflow, you can ensure that every promotion plan is not only creative but also strictly compliant with internal guidelines and budget constraints. The skill handles the technical heavy lifting of API authentication, multi-path retrieval, and data synthesis, allowing developers and marketers to focus on high-level strategy rather than manual data gathering.
Ragtop Planner Use Cases
- Automating the creation of influencer marketing proposals based on internal brand guidelines.
- Conducting rapid competitive analysis by summarizing historical campaign cases.
- Filtering and selecting KOLs from large pricing databases while maintaining strict budget compliance.
- Generating traceable and verifiable promotion checklists for external agency management.
How Ragtop Planner Works
- The skill first invokes the list_kb tool to identify and map the required knowledge bases: Strategy (方案), Cases (案例), and Pricing (价格).
- It executes a RULES_SUMMARY phase to extract and distill execution checklists from the strategy database.
- It performs CASE_SUMMARY retrieval to identify success patterns and proven tactics from historical documentation.
- It triggers the KOL_SELECTOR tool to fetch influencer data, generate an HTML comparison table, and verify pricing.
- Finally, the PLAN_GENERATION phase synthesizes all gathered intelligence into a structured promotion plan that matches user requirements.
Ragtop Planner Setup
To deploy this skill within your environment, configure the following environment variables:
export RAGTOP_API_TOKEN="your_api_token_here"
# Optional: Defaults to http://10.71.10.71:9380 if not set
export RAGTOP_API_URL="your_api_base_url"
Ensure that your RAGTOP instance contains knowledge bases explicitly named Strategy (方案), Cases (案例), and Pricing (价格) for the automated mapping to function correctly.
Ragtop Planner Data Schema & Taxonomy
The skill organizes data through a multi-stage RAG pipeline. Below is the mapping of how these Openclaw Skills interact with your data:
| Stage | Target Knowledge Base | Key Output |
|---|---|---|
| Rules Distillation | Strategy (方案) | Execution checklist |
| Pattern Recognition | Cases (案例) | Success model summary |
| Influencer Selection | Pricing (价格) | HTML selection table |
| Final Synthesis | All | Budget-compliant plan |
All conclusions are appended with source citations (document names or record IDs) to ensure total traceability.
Ragtop Planner Advanced Features
- Multi-query retrieval support to increase recall accuracy across complex knowledge base structures.
- Automated budget compliance engine that prunes low-priority candidates until the total cost meets user constraints.
- Granular document filtering using doc_ids for targeted retrieval within specific campaigns.
- Fallback mechanisms for authentication failures and empty retrieval sets with actionable user feedback.
SKILL.md
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