AC retail-traffic-analysis
门店客流与转化漏斗分析工具。基于AIoT客户行为数据（customerFunnel + behaviorFunnel）。 核心能力： 1. 双漏斗结合分析（customerFunnel客户分层 + behaviorFunnel试用行为） 2. 五步分析法（获取数据→解析customerFunnel→解析behaviorFunnel→计算转化率→综合诊断） 3. 完整逻辑标注（每个转化率指标包含逻辑说明、计算公式、原因解释、计算过程） 4. 互斥桶模型验证（普通+潜在+意向+成交=有效客户） 5. 核心转化率指标（潜在→意向、意向→成交、试用→成交、深度→成交） 6. 人均指标（人均深度试用、人均成交件数） 触发条件： - 用户询问客流（如"客流怎么样"） - 用户分析转化率（如"转化率下降原因"） - 用户需要漏斗分析（如"客户转化情况"）
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: 3. 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")
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. 36 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1061 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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +3Description length 377: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 36 items
- +4Has examples (11 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.