SKILLEMALL.ai

AB ppt-from-template

Generate presentations by extracting visual style from a reference template and recreating slides from scratch using PptxGenJS. Use when: user provides a PPT/PDF as style reference and wants new slides in that style; user says "按这个风格做PPT", "模仿这个模板", "参考这个PDF做演示", "make slides like this", "use this template", "做个PPT", "用这个模板做课件", "帮我做演示文稿"; user uploads a .pptx file as template. Supports: template directory auto-discovery, user upload, multi-template selection, image/video placeholders, large decks (30-100+ pages via batched generation). Requires: pptx skill (PptxGenJS), python-pptx, pdftoppm (poppler-utils). NOT for: editing existing PPT (use pptx skill), creating slides without style reference (use pptx skill directly).

ClawHub Agent Skills author: Garming v2.0.0 MIT-0 6 files · 1 script body ≈ 1 322 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 68/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

GeneratorPowerPointSoftware developmentInfrastructureMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
100/100
safety, quality, tests
Safety 60%
100
Quality 40%
100
Run on models
none yet
Process rating
B
68/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    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: 6. 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 68/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 2 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 21 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1322 tokens

    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

    • +1No license
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 730: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 21 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 3 scripts are documented

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

    External checks

    ClawHub: clean
    This skill coherently creates new presentations from reference templates, but users should understand it runs local conversion scripts and stores uploaded templates for reuse.
    LLM: benign (high) · VirusTotal: · 29 May 2026