AD kb-ppt-generator
知识库驱动的高管/职场汇报 PPT 生成器。用于将用户的零散知识库资料（工作记录、项目文档、会议纪要、复盘材料、数据表格、图片素材等）转化为面向职场场景的高质量汇报型 PPT。覆盖用例: 述职, 转正, 晋升答辩, 年终总结, 项目立项/汇报/复盘, 方案汇报, 资源申请, 部门规划, 改善汇报, 管理决策汇报。核心原则: 不直接套模板, 不一上来就生成 PPT；先澄清目标, 形成 SPEC, 确认大纲, 再生成 PPTX。当用户需要制作职场汇报类 PPT 时自动触发。
知识库驱动的高管/职场汇报 PPT 生成器。用于将用户的零散知识库资料（工作记录、项目文档、会议纪要、复盘材料、数据表格、图片素材等）转化为面向职场场景的高质量汇报型 PPT。覆盖用例: 述职, 转正, 晋升答辩, 年终总结, 项目立项/汇报/复盘, 方案汇报, 资源申请, 部门规划, 改善汇报…
As a process D 47/100 · 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: 8. 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 47/100
- 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
- 40Result and completion. Does not say what the result is
- 40Consistency. Frontmatter name (kb-ppt-generator) differs from the folder (zhichang-shuzhi-ppt-assistant)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 183 steps
- 100Execution cost. Instruction body is 1341 tokens
- 100Running it twice. No mutating operations
- low 13 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 237: enough signal without eating the budget
- +4Structure: 32 headings
- +3Step-by-step instructions: 183 items
- +4Has examples (2 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: 78.