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AF nano-pdf-edit

Edit PDF files visually using natural language with the nano-pdf CLI tool, powered by Google's Gemini 3 Pro Image (Nano Banana). Use this skill whenever the user wants to edit, modify, or update PDF slides or pages using AI — including fixing typos, updating charts/graphs, changing colors or branding, adding new slides, modifying text, or making any visual change to a PDF deck or report. Also trigger when the user mentions "nano-pdf", "nano pdf", "edit my pdf", "update my slides", "fix my deck", or wants AI-powered changes to PDF content. Even if the user just says "change the title on page 3" or "fix the typo on slide 5" for a PDF file, this skill applies. Do NOT use for extracting text, merging/splitting PDFs, filling forms, or other non-visual PDF operations.

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 1 248 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Edit PDF files visually using natural language with the nano-pdf CLI tool, powered by Google's Gemini 3 Pro Image (Nano Banana).

As a process F 57/100 · Will not run — References files that are not bundled: references/options.md, references/examples.md

IntegrationPDFWriting and documentsMarketingAI and agentstype 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
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
F
57/100
Will not run
References files that are not bundled: references/options.md, references/examples.md
Tools and files w 18
0
Result and completion w 14
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. 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 · 0

✓ No critical or high findings

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/options.md
  • warning missing-ref reference to a missing file: references/examples.md

Process rating: all ten parameters 57/100

Will not run. References files that are not bundled: references/options.md, references/examples.md
  • 0Tools and files. 2 referenced file(s) missing: references/options.md, references/examples.md
  • 0Result and completion. Does not say what the result is
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (nano-pdf-edit) differs from the folder (nano-banana-pdf-skill)
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 22 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 1 branches, has a failure section
  • 100Execution cost. Instruction body is 1248 tokens
  • 100Progress reporting. Reports progress

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

  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +4Description says when NOT to use the skill
  • +3Description length 772: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.