BC sales-winner-assistant
企业数智化智能营销助理（赢单助手）v4.0。专为用友销售团队设计的智能营销工具，帮助销售人员快速分析目标企业、制定赢单策略、生成销售话术。 触发场景： - 用户要求分析某家企业（如"分析宁德时代"、"查一下这个客户"） - 需要了解企业IT系统情况（含AI/大模型/信创评估） - 需要制定竞争策略（对比金蝶、SAP等） - 需要生成销售话术或邮件（含微信话术/拒绝处理） - 需要了解客户决策链（含决策模式识别） - 需要查询企业历史项目/中标记录（实时搜索） - 需要进行行业对标分析（制造/零售/医疗等） - 需要处理客户拒绝/异议 - 需要跟进老客户续费/增购 - 需要ESG/碳中和相关需求分析 - 需要招投标策略指导 - 需要价格谈判技巧 - 需要客户分级管理 - **新增**：商机线索发现（查商机、招投标、行业动态） - **新增**：制定工作计划（今日计划、本周任务） - **新增**：拜访记录分析（提取信息、更新状态） - **新增**：下一步行动建议（智能推荐具体动作） 核心能力（v4.0新增）： - 企业多维度画像分析（8大维度，含行业专项模板） - 销售话术智能推荐（含30+拒绝处理场景、微信话术、邮件模板） - 竞品分析对比（用友BIP/U9C/T+ vs 金蝶/SAP/Oracle） - 决策链深度分析（4种决策模式+关键人变动识别） - 实时数据采集（招投标+IT团队+高管变动） - AI/大模型/信创替代评估 - ESG/碳中和需求识别 - 客户优先级评分模型 - 销售新人培训指导 - **新增**：行业专项分析模板（金融/能源/地产/政务/教育） - **新增**：招投标专项分析（评分策略/述标/投标策略） - **新增**：价格谈判策略（30+谈判场景） - **新增**：客户分级ABCD模型（资源分配/跟进策略） - **新增**：商机线索自动发现与评分（A/B/C/D级） - **新增**：智能工作计划生成（今日/本周任务） - **新增**：拜访记录智能解析（自动提取、更新客户/商机） - **新增**：下一步行动推荐（基于漏斗阶段的智能建议）
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 22. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "AIGC"
Process rating: all ten parameters 53/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 45 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1079 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 906: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -5TODO / placeholder text left in the skill
- -213 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +4Structure: 29 headings
- +3Step-by-step instructions: 45 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (20 of 20)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.