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AC anygen-slide

Use this skill any time the user wants to create, design, or produce slide presentations — as standalone files or embedded content. This includes: pitch decks, slide decks, keynote presentations, training materials, project proposals, quarterly reviews, weekly report slides, investor pitches, product launches, team kickoffs, business plans, onboarding decks, strategy presentations, sales pitches, conference talks, and any request involving 'slides' or 'PPT'. Also trigger when: user says 做PPT, 做个汇报, 写个演示文稿, 季度汇报, 竞品分析报告（要PPT）, 产品发布会, 培训材料, 周报. If slides, decks, or presentations need to be produced, use this skill.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 6 files body ≈ 4 081 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Use this skill any time the user wants to create, design, or produce slide presentations — as standalone files or embedded content.

As a process C 63/100 · Has gaps — weak spots: result and completion, consistency

GeneratorPowerPointData and analyticsSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Consistency w 8
40
Tools and files w 18
60
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 63/100

    • 0Result and completion. Does not say what the result is
    • 40Consistency. Frontmatter name (anygen-slide) differs from the folder (anygen-slide-generator)
    • 60Tools and files. Uses tools (read, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Execution cost. Instruction body is 4081 tokens
    • 85Steps. 30 steps, 2 vague phrases
    • 100Failures and branches. 3 branches, has a failure section
    • 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

    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 620: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 30 items
    • +4Has examples (12 code blocks)
    • +3All 3 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.