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Move saved prompts as a controlled export, field-by-field mapping, import, and test—not as a simple copy of one account archive into another. First separate prompt text from memory, chats, files, variables, tags, and tool settings; keep an untouched source backup; use a native importer only when it explicitly supports your source and item type; then test representative prompts before retiring the old manager.
There is no universal prompt-manager interchange format established in the current official documentation. A data export and an import feature may be unrelated, and a workspace merge can change who controls your content. The safest migration preserves a readable master copy and records every field or dependency that did not transfer.
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What counts as a saved prompt?
“Saved prompts” can mean several different data classes. A prompt manager may store a reusable instruction, while an AI assistant may separately store learned memory, custom instructions, chat history, project files, variables, examples, tags, connected tools, or authentication details. Treating all of these as one library is the most common cause of an incomplete migration.
| Data class | Typical contents | Migration question |
|---|---|---|
| Reusable prompt | Title, instruction text, examples, output format, and version notes | Does the destination importer accept this item type? |
| Variables and placeholders | Names such as {{topic}}, command arguments, shell interpolation, or file-path tokens |
Will the destination use the same syntax and substitution timing? |
| Memory and personalization | Learned preferences, saved facts, custom instructions, and project-scoped context | Is there a separate memory import, or must entries be recreated? |
| Chats and examples | Conversation history used to demonstrate a desired answer | Are chats imported, and are dates or attachments retained? |
| Projects and files | Project instructions, reference documents, uploaded files, and folder structure | Do files transfer, and are links or permissions still valid? |
| Tools and connections | Plugins, connectors, hooks, API credentials, and authentication | Must each integration be reauthorized or rebuilt? |
| Organization metadata | Tags, folders, owners, sharing rules, and access permissions | Does the destination preserve structure and ownership? |
Make this inventory before exporting. A prompt that appears to be one text block may depend on a project file, a connector, a saved memory, or a variable that is stored elsewhere.
#1 Best Overall
Prepare an inventory and an untouched backup
- List every source location. Record prompt folders, templates, projects, custom instructions, memory entries, chat examples, uploaded references, and tool or connector settings. Note which items are personal and which belong to a team or workspace.
- Assign an owner and status. For each item, record its title, last-modified date, version, intended model or tool, and whether it is still used. Mark obsolete prompts rather than deleting them before the move.
- Export or copy without transforming. Save the native export, then make a second human-readable copy (plain text or Markdown) that can be opened without the original manager. Do not clean up placeholders or rewrite instructions in this first copy.
- Preserve attachments separately. Download reference files and note their original filenames, relative paths, and the prompts that use them. A prompt export may contain only a filename or an internal identifier, not the file itself.
- Record access conditions. Write down the source account, workspace, plan, and any sharing or retention policy. This matters if a personal workspace is merged into an organization that controls access to migrated content.
- Store the backup outside the migration session. Keep at least one copy that will not be modified by an import, merge, or account deletion. Anthropic advises preserving memory entries in a Markdown file, and OpenAI advises saving important content before a workspace migration.
Use the untouched copy as your rollback point. Any normalized or converted version should have a different filename and a change log that identifies what was altered.
Choose a transfer route by coverage and reversibility
Compare the available route against the exact item classes in your inventory. The existence of an export button does not prove that another product can read the resulting archive.
| Route | What it can cover | Important limits | Reversibility |
|---|---|---|---|
| Native prompt export and destination importer | Prompt records when both products explicitly support the same source and item type | No common CSV, JSON, or Markdown standard is established; unsupported fields may be dropped | Usually high if the source account remains active |
| Manual copy into a new library | Prompt text, names, examples, and a hand-built tag or version scheme | Slow; tools, memories, files, and hidden metadata must be rebuilt | High |
| Claude memory import | Memory and learned context supplied as copyable text | Separate from account export; experimental and may not incorporate every entry | High, provided the source copy is retained |
| Claude account-data export | Account information and chat history for eligible individual plans | Export cannot be imported into another personal Claude account | High for archival use, not for direct personal-account transfer |
| ChatGPT personal-workspace merge | Supported conversations, eligible Library files, projects, supported automations, saved memories, and eligible personalization | Personal workspace is deactivated; organization controls access; no undo back to personal workspace; some data is excluded | Low after merge |
| Import from another agent | Supported instructions, skills, plugins, projects, and recent work in ChatGPT desktop or Codex CLI | Only listed source applications are supported; dynamic templates need review | Moderate; keep the original agent until testing is complete |
| File download from a library | Saved files used to carry a prompt collection or references | Temporary Chat uploads are not saved to the Library; downloaded files still require mapping | High |
Use a native importer only for documented source types
Before selecting Import, read the destination’s current support list. Confirm the source application, account type, workspace, and item classes. If the documentation names agents, projects, or memories but not reusable prompt records, do not assume a prompt archive is accepted.
When no native prompt import exists
Create a canonical folder of one record per prompt. Keep the original export untouched, then convert a copy into the destination’s format. A practical record contains:
- Stable ID: a short identifier that will not change if the title is edited.
- Name and purpose: the display title and one sentence describing when to use it.
- System or instruction text: the exact reusable instruction, preserving line breaks.
- Inputs: variable names, expected types, defaults, and examples.
- Output contract: required sections, format, length, and failure behavior.
- Dependencies: model features, tools, connectors, files, paths, or memories.
- Organization: tags, folder, owner, version, and last review date.
- Known differences: fields flattened, omitted, or rewritten for the destination.
Use a visible delimiter between fields when the destination has only one large text box. Do not silently combine system instructions, user examples, and tool configuration; that makes later debugging difficult.
Claude memory and account-data workflows
Importing memory as copyable text
Anthropic’s September 2, 2026 help article describes a memory-import flow for Free, Pro, Max, and Team plans on the web and Claude Desktop. It is designed for memory and learned context, not as a universal prompt-library importer.
- Ask the source service to output its memories and learned context as copyable text.
- Review that text against your inventory. Remove secrets, stale preferences, and anything that should not be transferred.
- In Claude on the web or Claude Desktop, open Settings > Memory > Start import.
- Paste the prepared text and submit it.
- Review the extracted entries afterward and correct omissions or misinterpretations.
Anthropic labels memory imports experimental and warns that Claude may not always successfully incorporate imported memories. Keep the source list as the authoritative record and do not treat a successful submission as proof that every entry is active.
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Anthropic’s July 8, 2026 export instructions say individual Free, Pro, and Max users can request account information and chat history from Settings > Privacy on the web or in Claude Desktop. The download link arrives by email and expires 24 hours after delivery. The resulting export is an archive for access and records; Anthropic states that it cannot be imported into another personal Claude account.
Anthropic documents a separate direct migration into a Team or Enterprise organization. Treat that as an organization move with its own access rules, not as evidence that an individual export can populate a new personal account.
ChatGPT personal-workspace merges: check the consequences first
OpenAI documents a native merge from a personal ChatGPT workspace into Business or Enterprise. This is a workspace transfer, not a generic prompt-manager file format. The personal workspace is deactivated after the merge, the organization controls access to migrated content, and the documented process has no undo that moves content back into the personal workspace.
Supported or eligible content can include cloud conversations, Library files, project settings and instructions, project files, supported personal automations, saved memories, and eligible personalization. The same documentation lists exclusions and qualifications:
- Project-scoped memories do not transfer with saved memory.
- Memory and tool settings are not copied as personalization.
- Custom plugins do not transfer.
- Connected apps may be blocked by workspace policies or require reauthentication.
- Sites do not transfer.
- Content may appear gradually, so a few visible chats do not prove that every section has finished migrating.
Before starting, save important prompts, files, and memories outside the account. After the merge, inspect conversations, Library, projects, memories, and automations separately, then confirm which integrations need new authorization. If retaining personal control is a requirement, do not use a one-way workspace merge merely to move a prompt collection.
Importing agent setup into ChatGPT or Codex
OpenAI’s current “Import from another agent” documentation describes a different path for setup built in coding or agent environments. The ChatGPT desktop app supports imports from Claude Code, Claude Cowork, and Cursor. Codex CLI supports imports from Claude Code and Cursor. Depending on the source and destination, the import can include supported setup, instructions, skills, plugins, projects, and recent work.
The Codex CLI importer can bring in up to 50 chats from the last 30 days. That is a product limit for this importer, not a general migration capacity or a guarantee that older chats or every prompt will transfer.
- Confirm that your source agent appears in the destination’s supported-source list.
- Start the documented import in the ChatGPT desktop app or Codex CLI and select the account or workspace that should receive the content.
- Review the import summary for items that require setup.
- Reconfigure permissions, authentication, hooks, plugins, and connections instead of assuming credentials were copied.
- Inspect every imported prompt template or command-style prompt that uses arguments, shell interpolation, or file-path placeholders.
- Run representative tasks before deleting or disabling the source agent.
Dynamic templates are especially risky. An imported command may display correctly while passing an empty argument, escaping a shell token differently, or resolving a path relative to the wrong project.
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Move saved files and references safely
ChatGPT Library provides a way to find, organize, and download saved files. Select the relevant Library files and use the download action, then compare the downloaded filenames and contents with your inventory. Temporary Chat uploads are not saved to the Library, so check the original conversation or local backup for those references.
After importing files into a destination project, update each prompt’s dependency record. A file with the same name may have different access permissions, encoding, location, or version. Test prompts that cite a file by path, filename, or internal ID rather than assuming the reference resolved.
Normalize variables, formatting, and dependencies
Prompt text is usually the easiest part to move. Behavior often changes because placeholder syntax, escaping, or tool context differs.
| Element to review | What to preserve | What to test |
|---|---|---|
| Variables | Name, type, required status, default, and an example value | Is substitution performed before the prompt runs, and does an unset value fail clearly? |
| Command arguments | Argument order, quoting rules, and allowed characters | Do spaces, quotes, and empty arguments remain intact? |
| Shell interpolation | Escaping and whether execution is allowed at all | Does the destination treat the token as text, a variable, or an executable command? |
| File paths | Relative or absolute path assumptions and required files | Does the destination project have the same root and permissions? |
| Output format | Headings, schema, code fences, length limits, and refusal behavior | Does the model still produce parseable output under the destination’s defaults? |
| Tool calls | Tool name, input schema, authentication, and fallback behavior | Is the tool available, authorized, and invoked only when intended? |
| Examples | Representative inputs and known-good outputs | Does the destination follow the example without copying accidental errors? |
Keep a migration map with one row per prompt: source ID, destination ID, fields transferred, fields omitted, dependency changes, and validation status. If a destination has no tags or version field, encode that metadata in a naming convention or a companion index rather than losing it silently.
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Validate with a representative test set
Do not test only the simplest prompt. Select a sample that exercises every behavior your library relies on. A useful set includes a plain instruction, a variable-driven template, a strict formatting prompt, a prompt with a file reference, a tool-enabled prompt, and a long prompt near the destination’s context limit.
- Freeze baselines. Save known-good inputs and outputs from the source. Remove personal or confidential data before storing test fixtures.
- Run identical inputs. Use the same model settings where the destination permits. Record differences rather than judging from memory.
- Check structure first. Verify that required sections, fields, delimiters, and code blocks are present and parseable.
- Check dependencies. Confirm that files load, tools authenticate, connectors return data, and variables are populated.
- Check edge cases. Try empty values, long values, non-ASCII text, quotes, multiline input, and a missing file or unavailable tool.
- Repair and retest. Change one mapping or instruction at a time, update the migration map, and rerun the affected cases.
| Test case | Pass condition | Typical failure |
|---|---|---|
| Plain prompt | Core instruction and output format match the baseline intent | System and user text were concatenated in the wrong order |
| Variable prompt | Every supplied value appears in the intended location | Placeholder remains literal or is interpreted as another syntax |
| Strict schema | Output validates against the required fields and types | Destination adds prose or changes delimiters |
| File-dependent prompt | Correct file and version are read | Path, permission, or encoding mismatch |
| Tool-dependent prompt | Tool is called with valid arguments or a safe fallback occurs | Connection requires reauthentication or tool name changed |
| Missing dependency | Prompt reports the missing input instead of hallucinating a result | Old hidden context is no longer available |
Official import guidance recommends reviewing imported setup and dynamic templates, but it does not define a universal test protocol. The test set above is a practical control for your own library; document the cases that matter to your work.
Troubleshoot common migration failures
Only some prompts appear
Check whether the importer supports the source item type, whether content is still processing, and whether filters or workspace selection hid items. For a workspace migration, inspect conversations, files, projects, memories, and automations independently. Seeing a few records is not proof that every class is complete.
The export downloaded but cannot be imported
Confirm that the destination explicitly accepts that export. An account archive may be intended for personal access or legal records rather than rehydration. Convert the untouched archive into individual canonical records and import only the fields the destination documents.
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Compare the source delimiter, destination delimiter, and substitution stage. Replace unsupported syntax with the destination’s documented variable mechanism, add a default or required-value check, and test empty and special-character inputs.
Best Value
Formatting or behavior changed
Look for lost system-level instructions, altered line breaks, model defaults, context-window differences, or examples that were omitted. Restore the missing field and rerun the baseline test rather than adding more instructions blindly.
A file or tool is unavailable
Re-upload or relink the file, verify project permissions, and reauthenticate connected apps. Recreate plugins, hooks, and tool schemas when the importer identifies them as requiring setup. Add an explicit fallback instruction so the prompt does not invent data when the dependency is missing.
Access changed after a merge
Review the destination organization’s ownership, retention, and workspace policy. If the personal workspace was deactivated, the organization—not the former personal account—controls access to migrated content. Keep your pre-merge backup for records and recovery.
Cut over only after verification
Keep the old manager available while the destination passes your test set and while every high-value prompt has a destination ID and dependency record. Announce a freeze date so edits are not made in two places. Export one final delta from the source, map only changes made since the first backup, and rerun affected tests.
- Mark each prompt as validated, needs repair, or intentionally not migrated.
- Store the canonical backup and migration map in a location independent of either manager.
- Confirm who can access the destination and how retention or deletion works.
- Revoke obsolete tokens or connections only after the new setup succeeds.
- Schedule a later review because product import behavior, limits, and UI labels can change.
The reliable result is not merely a set of copied instruction paragraphs. It is a documented destination library whose prompts, variables, files, tools, ownership, and known differences have all been checked against an untouched source.
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