adf-json-example
Fetch raw ADF JSON data from a Confluence page URL. Use this skill when you need to see real-world ADF examples, understand how Confluence represents specific elements, debug ADF parsing, or create test samples.
Best use case
adf-json-example is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Fetch raw ADF JSON data from a Confluence page URL. Use this skill when you need to see real-world ADF examples, understand how Confluence represents specific elements, debug ADF parsing, or create test samples.
Teams using adf-json-example should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/adf-json-example/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How adf-json-example Compares
| Feature / Agent | adf-json-example | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Fetch raw ADF JSON data from a Confluence page URL. Use this skill when you need to see real-world ADF examples, understand how Confluence represents specific elements, debug ADF parsing, or create test samples.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# ADF JSON Example Query Skill This skill fetches the raw Atlassian Document Format (ADF) JSON data from a Confluence page. Use this when you need to understand the actual ADF structure of a real Confluence page, inspect how specific elements are represented in ADF, or debug ADF parsing issues. ## Purpose When working with ADF data, you often need to see real-world examples of how Confluence represents content. This skill: - Fetches the complete ADF JSON body from any accessible Confluence page - Displays the raw JSON structure with proper formatting - Caches results locally to avoid repeated API calls ## Prerequisites The Confluence API credentials must be configured. See `atlas_doc_parser/tests/data/client.py` for authentication setup. ## Command Fetch ADF JSON from a Confluence page URL: ```bash .venv/bin/python .claude/skills/adf-json-example/scripts/adf_json_example_cli.py get_example "<confluence_page_url>" ``` ### Parameters - `confluence_page_url`: Full URL to a Confluence page (e.g., `https://your-domain.atlassian.net/wiki/spaces/SPACE/pages/123456/Page+Title`) ### Example ```bash .venv/bin/python .claude/skills/adf-json-example/scripts/adf_json_example_cli.py get_example "https://sanhehu.atlassian.net/wiki/spaces/GitHubMacHuGWU/pages/654049306/Mark+-+strong" ``` This outputs the full ADF JSON structure of the page, showing how nodes and marks are organized. ## Output The command prints formatted JSON to stdout, containing the full ADF document structure with: - `version`: ADF format version (typically 1) - `type`: Document type (typically "doc") - `content`: Array of top-level nodes (paragraphs, headings, tables, etc.) Each node contains its type, attributes, and nested content/marks.
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