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Migrate from ChatGPT, Claude, OpenClaw, Hermes, Manus, and other AI assistants into Vellum by inspecting their data exports, conversation archives, files, prompts, custom instructions, memory, saved memories, tools, GPTs, workflows, integrations, and relationships, then mapping as much as safely possible into Vellum primitives. Handles single-source and multi-source migrations with a unified, deduplicated inventory.
Passed 17 of 21 test cases with the skill, and 4 of 21 without it.
and 11 more in the full report
14 fixed4 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
We have prepared and reviewed 20 concept pages inside .mv3/staging/. What exact CLI command should be executed first to test whether these pages will ingest cleanly without modifying the database?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies running assistant memory ingest --dir .mv3/staging --dry-run. | Missed | Passed |
The instructions your model reads when the skill loads.
Help the creator migrate from another AI assistant into Vellum. Preserve as much of the source assistant as can be understood safely. Non-Vellum systems (OpenClaw, Hermes, Manus, and others) evolve quickly, so never assume their internals follow a fixed schema: inspect the actual source artifacts in front of you and map them into Vellum primitives. The bundled memory parsers in scripts/ follow the same rule; they introspect whatever artifact they are given instead of hardcoding a layout, and everything they emit is a review candidate, never a finished import.
scripts/: they avoid schema assumptions by design (ZIP entries matched by name/content heuristics, SQLite tables discovered via sqlite_master introspection) and their output always goes through creator review before anything is saved.The creator may not know where their other assistant stores its internals. Help them find the safest available source of truth before asking them to upload or paste data.
Start with low-risk discovery:
When internals are hard to access, fall back to an interview-style migration: ask the creator and source assistant for high-signal summaries, then rebuild in Vellum with review.
Before copying large folders or attachments, estimate source size and check available space in the current Vellum workspace. Use available storage diagnostics or shell filesystem probes when available, migrate large assets in batches, and pause for the creator if the import could crowd the workspace or trigger disk-pressure cleanup.
Once the source assistant is identified, consult the matching reference for the exact data-directory layout, a bundling recipe with explicit --exclude flags for secret-bearing paths, and the after-import rebind checklist:
test cases passed, vs 4 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.