AD experience-extraction-course-pro
将项目复盘、专家访谈、岗位流程、制度规范、产品知识、旧课件、培训笔记或课程主题， 深度萃取为可直接授课的企业培训课程。先判断资料类型和成熟度，再按需使用 STAR 与 PRM 手脑心，完成知识降维、方法论、案例、练习、题库、PPT 逐页稿和讲师手册； 支持关键追问、外网扩展和多轮精修，兼顾课程质量与生成效率。
将项目复盘、专家访谈、岗位流程、制度规范、产品知识、旧课件、培训笔记或课程主题， 深度萃取为可直接授课的企业培训课程。先判断资料类型和成熟度，再按需使用 STAR 与 PRM 手脑心，完成知识降维、方法论、案例、练习、题库、PPT 逐页稿和讲师手册； 支持关键追问、外网扩展和多轮精修，兼顾课程质量与生成效率。
As a process D 46/100 · Unfinished process — 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: 5. 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 "agent_created"
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 90 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1435 tokens
- 100Running it twice. No mutating operations
- low 20 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
- +2Single-language instructions
- +3Description length 155: enough signal without eating the budget
- +4Structure: 28 headings
- +3Step-by-step instructions: 90 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.