MCPInstall

conversation-json-to-md

by yangsonhungAI & Agents

Use when converting chat export JSON into per-conversation Markdown files with preserved user-assistant Q/A and normalized headings.

Installs
64
Last 24h
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/yangsonhung/awesome-agent-skills --skill conversation-json-to-md
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads conversation-json-to-md automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Conversation JSON To MD

Overview

Convert a user-provided chat-export JSON into multiple Markdown files with consistent Q/A formatting. The workflow keeps only user-assistant exchanges, writes one conversation per Markdown file, preserves answer Markdown, and runs a second pass to normalize filenames and heading structure.

When to Use

Use this skill when the user asks for:

  • Splitting one JSON chat export into many .md files
  • One conversation per markdown file
  • Keeping only question/answer content from user and assistant
  • Renaming response sections to Answer
  • Normalizing exported files with a second formatting pass

Do not use

Do not use this skill for:

  • Plain text transformation that does not involve JSON chat exports
  • Non-conversation JSON processing tasks
  • Requests requiring semantic summarization instead of structural conversion

Instructions

  1. Read the input file path provided by the user. Do not assume default file names.
  2. Detect conversation/message structure automatically.
  3. Export one markdown file per conversation.
  4. Keep only user/assistant Q&A content.
  5. Format each Q/A block as:
    • ## <question text>
    • ### Answer
  6. Preserve answer markdown and demote answer-internal heading levels by one level.
  7. Run an independent second-pass formatting check and fix naming/title structure before final delivery.

Supported Input Structures

The bundled script supports common export formats including:

  • DeepSeek/ChatGPT-like mapping tree (mapping/root/children/fragments)
  • Qwen-like exports (data[].chat.messages[], content_list with phase=answer)
  • Claude web export style (list[{ name, chat_messages: [...] }])
  • Generic message arrays (messages, history, conversations, dialog, turns)
  • Pair fields (question-answer, prompt-response, input-output)

If format detection fails, stop and ask the user for a sample snippet, then extend parsing rules.

Run Script

python3 scripts/convert_conversations.py \
  --input /path/to/<user-provided>.json \
  --output-dir /path/to/output_md \
  --clean

Output Format

Each output file uses this structure:

# <conversation title>

## <user question 1>
### Answer
<assistant answer markdown>

## <user question 2>
### Answer
<assistant answer markdown>

Second-Pass Formatting (Required)

After export, run a second-pass check/fix on output files:

  1. Filename normalization:
  • Keep title-only naming
  • Remove illegal filename characters
  • Resolve duplicates with (2), (3)...
  1. Heading normalization:
  • Keep only one H1: # <conversation title>
  • Ensure questions are H2
  • Ensure responses are exactly ### Answer
  1. Body normalization:
  • Keep answer body markdown
  • Keep answer-internal heading demotion
  1. Final verification:
  • Confirm no files still violate naming or heading rules

Validation Checklist

  • File count equals detected conversation count
  • No random suffixes in filenames
  • No ## REQUEST or ## RESPONSE headers in output
  • Response blocks are present as ### Answer
  • Output preserves markdown rendering correctly

FAQ

What does the conversation-json-to-md skill do?

Use when converting chat export JSON into per-conversation Markdown files with preserved user-assistant Q/A and normalized headings.

How do I install conversation-json-to-md?

Run npx skills add https://github.com/yangsonhung/awesome-agent-skills --skill conversation-json-to-md in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/conversation-json-to-md/ (personal) or .claude/skills/conversation-json-to-md/ (project).

Which AI agents can use conversation-json-to-md?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is conversation-json-to-md safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains conversation-json-to-md?

It is published by yangsonhung in yangsonhung/awesome-agent-skills. It has 64 recorded installs.

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