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apappascsapappascs/claude-code-sessions/skills/session-export/SKILL.md

session-export

Skill2 starsChanged 26 days agoMITView on GitHub

Exports a Claude Code session as a clean, readable markdown transcript. Use when the user wants to export a session, create a transcript, save session history to a file, or says "export this session".

2 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If no session specified, use the current one:

    line 15
  2. Distinctive:

    If written to file, confirm the path and line count.

    line 39

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Session Export

Export a session as a clean transcript.

Step 1: Resolve the session

If no session specified, use the current one:

bun run ${CLAUDE_PLUGIN_ROOT}/lib/session-store.ts list --project "$(basename $(pwd))" --limit 1 --format json

Step 2: Export

To print to conversation:

bun run ${CLAUDE_PLUGIN_ROOT}/lib/session-parser.ts export <session-jsonl-path> --format md

To save to file:

bun run ${CLAUDE_PLUGIN_ROOT}/lib/session-parser.ts export <session-jsonl-path> --format md --output session-transcript.md

For plain text:

bun run ${CLAUDE_PLUGIN_ROOT}/lib/session-parser.ts export <session-jsonl-path> --format txt --output session-transcript.txt

Step 3: Present

If written to file, confirm the path and line count. If inline, present the transcript directly.

Tool calls are summarized (tool name only, not full input JSON) to keep the transcript readable.

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