Bidding Document Analyzer
Paste the following prompt into your AI chat to install this skill:
Please follow https://skillhub.cn/install/skillhub.md to install @user_e9af5021/bidding-analyzer.
About this skill
Problem
Bid documents often create friction because requirements, hidden disqualification clauses, scoring weights, and internal company evidence are scattered. bidding-analyzer is aimed at enterprise bidding workflows. It turns tender text, budget, company_kb, and optional competitor_kb into a reviewable analysis pipeline: identify hard gates and procurement needs, then produce preparation checklists, a technical draft, risks, and scoring estimates, reducing missed items and ad hoc proposal writing.
Core workflow
It processes input in fixed steps:
- Tender parsing: extracts project name, budget/price limit, deadlines, purchaser, evaluation method, qualification/track record, deposit, and submission/sealing rules, then locates technical specs, delivery windows, and acceptance criteria.
- Checklist generation: breaks work into qualification/commercial/technical/pricing/process controls, with owner, deliverables, prerequisites, and deadline; missing items are marked [needs manual confirmation].
- Budget-driven technical plan: maps budget range to expected depth, matches each requirement to products/modules, and outputs full/partial/deviation responses; core sections cannot be compressed with 'see appendix' or 'same as above'.
- Risk and scoring: extracts disqualification clauses, scoring weaknesses, and process traps, grades them red/yellow/green; when scoring mode is enabled, estimates dimension scores, gaps, and win probability, and builds a competitor matrix from competitor_kb.
Boundaries
It is suited for tender analysis, bid preparation, and first drafts of technical proposals, but it does not replace legal, procurement, pre-sales, or engineering review. Qualifications, financials, case evidence, API parameters, and SLA commitments still require human verification against certificates, test reports, and contracts. If company_kb is missing, the output relies more on manual evidence and should not be used directly for formal bidding.
Use Cases
- A bid manager converts qualification thresholds, deposit rules, and submission requirements into an owner checklist before the deadline.
- A pre-sales engineer maps procurement requirements to company modules and drafts a budget-driven technical plan for a 3M-5M budget.
- A bidding lead extracts disqualification clauses, scoring weaknesses, and process traps into a red/yellow/green risk list.
- A commercial specialist estimates dimension scores in scoring mode and proposes pricing and differentiation strategy from the gaps.
Best For
- Bid manager: needs to break tender documents into qualification, commercial, technical, pricing, and process checklists before deadline.
- Pre-sales engineer: needs to map procurement requirements to company modules and draft a technical plan at the required budget depth.
- Commercial specialist: needs to analyze scoring rules, estimate score gaps, and propose pricing and differentiation strategy.
- Bidding lead: needs to identify disqualification clauses and process traps, then list items requiring manual confirmation.
Related Skills
Guides WeChat merchant payment integration by routing JSAPI, Mini Program, APP, H5, Native, and payment-code scenarios to the right product.
AI agent tool for generating HTML proposals for client visit business scenarios, featuring deep research and dynamic mainline mapping.
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.