SKILLEMALL.ai

AC aippt-generator

AI 驱动的专业 PPT 生成能力。当用户需要制作工作汇报、客户提案、季度总结、项目汇报、培训分享等商务演示文稿时触发此技能。通过结构化诊断收集用户核心业务内容,运用金字塔逻辑 Prompt 架构生成含原生图表的完整 PPT 成稿,并导出为可编辑的 .pptx 文件。触发词包括:做PPT、生成PPT、写汇报PPT、做演示文稿、生成幻灯片、AI做PPT、制作演示、汇报材料、proposal slides、presentation。

ClawHub Agent Skills author: Vincent v1.0.0 MIT-0 7 files body ≈ 891 tokens Open the sourceclawhub.ai analyzed 2 d ago

AI 驱动的专业 PPT 生成能力。当用户需要制作工作汇报、客户提案、季度总结、项目汇报、培训分享等商务演示文稿时触发此技能。通过结构化诊断收集用户核心业务内容,运用金字塔逻辑 Prompt 架构生成含原生图表的完整 PPT 成稿,并导出为可编辑的 .pptx…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorPowerPointAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • 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: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description 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. 30 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 891 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

  • +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 216: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: clean
This skill appears to be a normal PowerPoint-generation workflow that turns user-provided business content into a local .pptx file.
LLM: benign (high) · VirusTotal: · 10 Jul 2026