复制安装命令
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
This is the open-source content repository behind
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
来源文件:README.md
This is the open-source content repository behind Skill Store. It stores every approved Agent Skill, the records that go with it, and the automated security audits published with each skill.
This repo is a companion to the Skill Store platform, not the place to submit skills. Skills are added through skillstore.io — its review pipeline writes to this repo automatically. Please do not open a pull request here to add a skill; PRs adding skills will be closed. See Contributing a skill below.
The recommended way to install any skill is the skillstore CLI — one command works for both Claude Code and Codex:
npx skillstore add author/skill-name
For example:
npx skillstore add aiskillstore/code-review
It downloads the skill and drops it into the right skills/ directory for your tool. Claude Code auto-discovers it; for Codex, restart the session.
Prefer to do it by hand, or installing via Claude Web? See the full Installation Guides for every method (CLI, manual, and ZIP upload) and the scope directories (~/.agents/skills/, .claude/skills/, ~/.claude/skills/, .codex/skills/, …).
Submit through the platform — not through a pull request:
SKILL.md.SKILL.md — the skill definition (required, per the Agent Skills spec)LICENSE (recommended)Every submission is scanned automatically before it can be published. The audit flags things like:
eval, exec, raw system commands)Security analysis is report-only: findings inform maintainers and users, but a risk result does not automatically block an otherwise approved skill from being published. See our Security Trust Center for the methodology, limitations, and risk-level definitions.
Live Security Passport example:
.
├── skills/ # Approved, published skills (one folder each, with SKILL.md)
├── pending/ # Submissions awaiting review
├── packages/
│ ├── cli/ # The `skillstore` CLI (npx skillstore add …)
│ └── skillstore/
├── schemas/ # JSON schemas for skill records
├── scripts/ # Maintenance & scoring scripts
└── .github/workflows/ # Submission, audit, and sync automation
The contents of this repo are maintained by Skill Store's automated pipeline. Manual changes are limited to maintainers.
The marketplace catalog is MIT-licensed. Individual skills carry their own licenses — check each skill's LICENSE file.
name: file-converter
description: This skill handles file format conversions across documents (PDF, DOCX,
Markdown, HTML, TXT), data files (JSON, CSV, YAML, XML, TOML), and images (PNG,
JPG, WebP, SVG, GIF). Use when the user requests converting, transforming, or exporting
files between formats. Generates conversion code dynamically based on the specific
request.
author: Joseph OBrien
status: unpublished
updated: '2025-12-23'
version: 1.0.1
tag: skill
type: skillConvert files between formats across three categories: documents, data files, and images. Generate Python code dynamically for each conversion request, selecting appropriate libraries and handling edge cases.
| From | To | Recommended Library |
|---|---|---|
| Markdown | HTML | markdown or mistune |
| HTML | Markdown | markdownify or html2text |
| HTML | weasyprint or pdfkit (requires wkhtmltopdf) | |
| Text | pypdf or pdfplumber | |
| DOCX | Markdown | mammoth |
| DOCX | docx2pdf (Windows/macOS) or LibreOffice CLI | |
| Markdown | Convert via HTML first, then to PDF |
| From | To | Recommended Library |
|---|---|---|
| JSON | YAML | pyyaml |
| YAML | JSON | pyyaml |
| JSON | CSV | pandas or stdlib csv + json |
| CSV | JSON | pandas or stdlib csv + json |
| JSON | TOML | tomli/tomllib (read) + tomli-w (write) |
| XML | JSON | xmltodict |
| JSON | XML | dicttoxml or xmltodict.unparse |
| From | To | Recommended Library |
|---|---|---|
| PNG/JPG/WebP/GIF | Any raster | Pillow (PIL) |
| SVG | PNG/JPG | cairosvg or svglib + reportlab |
| PNG | SVG | potrace (CLI) for tracing, limited fidelity |
references/ for format-specific guidanceimport json
import yaml
with open("input.json") as f:
data = json.load(f)
with open("output.yaml", "w") as f:
yaml.dump(data, f, default_flow_style=False, allow_unicode=True)
import csv
import json
with open("input.csv") as f:
reader = csv.DictReader(f)
data = list(reader)
with open("output.json", "w") as f:
json.dump(data, f, indent=2)
import markdown
with open("input.md") as f:
md_content = f.read()
html = markdown.markdown(md_content, extensions=["tables", "fenced_code"])
with open("output.html", "w") as f:
f.write(html)
from PIL import Image
img = Image.open("input.png")
img.save("output.webp", "WEBP", quality=85)
import cairosvg
cairosvg.svg2png(url="input.svg", write_to="output.png", scale=2)
Detailed guidance for complex conversions is in references/:
references/document-conversions.md - PDF handling, encoding issues, styling preservationreferences/data-conversions.md - Schema handling, type coercion, nested structuresreferences/image-conversions.md - Quality settings, transparency, color profilesConsult these references when handling edge cases or when the user has specific quality/fidelity requirements.
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