AC resume-optimizer
求职简历三阶段优化引擎+效果对比报告：先全局评估（含JD匹配度雷达图），再简历改写（工作经验STAR+项目经验软性叙述+数据补全追问），最后效果对比+Word/PDF导出。 Use when user asks to 优化简历、改简历、简历润色、STAR改写、JD定制、根据职位改简历、 简历关键词优化、ATS优化、AI筛选优化、简历诊断、简历评分、简历匹配、帮我看看简历、 简历改一下、简历提升、英文简历优化、中英双语简历、简历翻译、导出简历、简历导出、 简历转Word、简历转PDF、生成简历文件、项目经验改写、项目经历优化、简历评分对比. 不适用于从头凭空生成简历（用户未提供任何基础材料）、求职信/自荐信撰写、简历模板设计.
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 9. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
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. 107 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3993 tokens
- 100Running it twice. No mutating operations
- low 15 top-level sections: this looks like several domains in one skill
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
- +5Description has no quoted example phrases that should trigger the skill
- +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
- +3Description length 316: enough signal without eating the budget
- +4Structure: 56 headings
- +3Step-by-step instructions: 107 items
- +4Has examples (15 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.