WorkBuddy AI Client Visit Proposal Generator
Paste the following prompt into your AI chat to install this skill:
Please install @user_463e8e26/agent-proposal-pdf according to the official guide at https://skillhub.cn/install/skillhub.md.
About this skill
Real-World Challenges in Client Visit Proposal Generation
In B2B contexts, preparing for key client visits demands deep enterprise research, business mainline analysis, and tailored scenario design. Manual processes are time-consuming and prone to missing business details, often leading to generic templates that fail to address specific stakeholder concerns (e.g., CEO focus on ROI, CIO on architecture). How to quickly produce a demonstrable, targeted HTML proposal becomes a core challenge for improving visit effectiveness.
AI Agent-Driven Proposal Generation Workflow
This skill automates key steps via AI Agent to generate a dual-mode HTML proposal:
- Deep Research and Dynamic Mainline Mapping: Leverages WebSearch and WebFetch to collect enterprise information, dynamically deriving business mainlines (e.g., procurement→production→sales) without preset templates.
- Scenario Design and Capability Mapping: Based on mainline nodes, each scenario is matched with WorkBuddy's 9 core capabilities (e.g., writing, calculating, system automation), and linked to expert knowledge bases for practical implementation.
- Dual-Mode HTML Generation: Outputs an HTML document supporting document mode and presentation mode (toggle via ?mode=presentation), including scenario details, department panorama matrix, and management overview to cater to diverse audiences.
Each scenario includes a Live Demo Package with concise prompts (containing only task essentials, as industry knowledge is expert-embedded) and demo scripts, enabling direct replication and execution in WorkBuddy.
Applicability Boundaries and Considerations
Built on the WorkBuddy platform, key boundaries apply:
- Feasibility Grading: Scenarios are classified as P0 (native support, e.g., report generation), P1 (requires extensions, e.g., connector integration), P2 (interface clarification needed), and P3 (not recommended, e.g., real-time control).
- Safety Grading: Industrial algorithms adopt a "suggestion + human confirmation" model to avoid auto-loop risks; strong-regulated sectors like finance or healthcare are limited to future extensions.
- On-Demand Material Generation: Demo files are generated only when scenarios process documents, with prompts referencing accessible paths to ensure usability.
The design philosophy is a guiding framework: it provides principles and standards while allowing runtime decisions on mainline quantity, scenario depth (L1/L2/L3), etc., to prevent homogenization. Ideal for business operations, it supports efficient, targeted client engagements.
Use Cases
- After researching a manufacturing client, dynamically map their procurement-to-delivery business mainlines, generating an HTML proposal with L2 deep-analysis scenarios for CTO technical evaluation.
- Before a sales visit, use the skill to create a demo package with concise prompts and scripts, live demonstrating how WorkBuddy automates data entry via the `system automation` capability.
- Design a department panorama matrix for business ops teams, mapping specific scenarios across sales and finance departments, enabling quick location of capabilities like `data analysis`.
- Generate a concise talk-reference document outlining communication mainlines and boundary reminders for meeting a CEO, ensuring no promises of P3-level capabilities like real-time control.
Best For
- Sales manager who needs to quickly generate customized HTML proposals based on enterprise research to convince decision-makers and demonstrate AI solution feasibility during visits.
- Enterprise CIO or CTO evaluating the technical architecture and integration boundaries of AI tools, focusing on scenario depth (e.g., L3 decision support) and accurate capability mapping.
- Business operations specialist responsible for mapping client business mainlines and designing executable scenarios, seeking a structured framework to avoid templated proposals.
- Consultant or project manager preparing client visit materials efficiently, including demo packages and talk-references, to ensure smooth on-site demonstrations with clear boundaries.
Related Skills
Bid Proposal Verification Tool is used to verify the consistency between bid proposals and tender documents, checking table of contents, page numbers, attachments, and seals, based on Shibot Technology's bid data API.
An AI engine built on extensive bidding data to precisely search for tender projects and potential clients using natural language or structured criteria.
Automates bid document, response table, and material list generation from bid files and enterprise data using Shibuo Technology API.
An AI assistant built on Shibona Tech's full-spectrum bid data API for analyzing market intelligence, competitor moves, client preferences, and regional trends, with natural language querying and deep insights.