export

SkillDocs & knowledge

Bundle the canonical memory set into one structured Markdown document for external-LLM review, audit, or dashboard download.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the export skill

What this skill tells your AI

The instructions your AI receives, as published by fjwood69/mori in skills/export/SKILL.md and read by ahel’s review.

If the Mori server is unreachable (a tool call returns a connection error, ECONNREFUSED, or timeout), do not show a stack trace. Tell the user the Mori server appears to be down and that a running Mori server is required. Point them to the quickstart at https://github.com/fjwood69/mori#quickstart and suggest checking the server URL in plugin settings. Then stop.

When the user runs /export, call mori-export_canon with the parsed arguments and present the result. Internal provenance/PII is stripped by the server by default — the export is safe to upload to an external model.

Argument parsing

  • --project <name> — filter to a project tag (e.g. mori, bifrost)
  • --type <type> — filter by memory type (decision, pattern, standard, …)
  • --format <fmt> — one of:
    • standard (default) — grouped, readable Markdown with a reproducibility pin header
    • consult — the same content prefixed by a coherence-review rubric, ready to paste into Kimi/Qwen/Opus (alongside /consult) for a canon audit
    • json — raw structured JSON
  • --output <path> — write the result to a file instead of returning it inline
  • --include-working — include working-tier memories as well as canonical

Execution

  1. Parse the arguments above.
  2. Call mori-export_canon with project / type / format / include_working.
  3. If --output <path> was given, write the returned string to that path and report the path + size; otherwise present the export directly.
  4. For --format consult, tell the user it's ready to paste into an external model alongside /consult for a coherence audit (the rubric scores internal coherence — contradictions, redundancy, clarity — not whether claims match the live codebase).

Signals

GitHub stars
28
Forks
5
Last commit
Sep 2026
Advanced
Item type
skill
Key
export-fjwood69
Source
github.com/fjwood69/mori