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CD frontend-slides

Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.

zarazhangrui/frontend-slides Agent Skills author: zarazhangrui MIT 80 files · 2 scripts body ≈ 6 926 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files.

As a process D 49/100 · Unfinished process — References files that are not bundled: STYLE_PRESETS.md, viewport-base.css, scripts/extract-pptx.py

GeneratorPowerPointSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
84/100
safety, quality, tests
Safety 60%
99
Quality 40%
62
Run on models
none yet
Process rating
D
49/100
Unfinished process
References files that are not bundled: STYLE_PRESETS.md, viewport-base.css, scripts/extract-pptx.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token bold-template-pack/templates/cobalt-grid/design.md:348
    High-entropy token-like string (may be an id, hash or a credential)
    The News…400 + Hank…ked + DM-Mono-tracked combination is the system's voice. Switching any of those three face/weight/case rules reads as a different design system. Italic is

Files scanned: 79. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6926 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: STYLE_PRESETS.md
  • warning missing-ref reference to a missing file: viewport-base.css
  • warning missing-ref reference to a missing file: scripts/extract-pptx.py
  • warning missing-ref reference to a missing file: scripts/export-pdf.sh

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: STYLE_PRESETS.md, viewport-base.css, scripts/extract-pptx.py
  • 0Tools and files. 4 referenced file(s) missing: STYLE_PRESETS.md, viewport-base.css, scripts/extract-pptx.py
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 60Steps. 130 steps, 5 vague phrases
  • 70Execution cost. Instruction body is 6926 tokens
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 14 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 top-level sections: this looks like several domains in one skill
  • high The skill tells the model to perform an irreversible action with no human approval

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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +2Single-language instructions
  • +3Description length 311: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 130 items
  • +4Has examples (3 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.