Claude Memory vs. Skills: What Each Should Store
Use memory for relevant background and skills for repeatable procedures. Keep changing project decisions separate so neither becomes a stale instruction manual.
Updated 7 min read
Claude memory carries background into later conversations, while skills describe how to perform a repeatable task. Use memory for relevant facts and preferences; use a skill for a process with steps, inputs, and a recognizable result. They solve different parts of the same working session.
A project also needs an exact account of what people approved and what remains unfinished. Tools like fenbs keep that work record outside Claude, alongside shared prompts, so a remembered preference does not have to stand in for a current decision.
What should you put in each?
| Information | Better home | Example |
|---|---|---|
| Background that helps personalize work | Reviewed memory | I usually write for US small businesses. |
| Repeatable method | A skill | Turn an approved outline into a draft, then check citations. |
| Current project agreement | A dated decision in the project record | The client approved the shorter application form. |
| Unfinished work | A task and checkpoint | Draft complete; accessibility review still pending. |
| One-time direction | The current conversation | For this draft, use a more conversational opening. |
The distinction is purpose, not length. A short sentence can be a lasting rule, and a long explanation can be temporary background. Before saving anything, ask whether the next session needs to know a fact, follow a method, or find the current state of a particular job.
Anthropic describes skills (opens in a new tab) as packaged instructions and resources for specialized tasks. Its memory guide (opens in a new tab) describes remembered information you can inspect and change. Neither description makes an inferred preference equivalent to approval from a person.
Which facts belong in remembered background?
Choose facts that remain useful across relevant conversations without needing a lengthy explanation. Your normal audience, preferred reading level, or usual role can be reasonable candidates. Keep the wording narrow enough that an assistant can recognize when the fact applies.
For example, “I edit educational material for adult learners” gives helpful background. “Always simplify every technical term” may be too broad when you also prepare specialist documents. State the audience and let the current task describe how much explanation it needs.
Treat automatically remembered information as something to review. A discussion can include guesses, rejected ideas, and examples that sound like facts when detached from the conversation. Check the saved entry itself before trusting it in a deliverable. The separate memory management guide covers that cleanup workflow.
Avoid asking memory to track a moving approval. A deadline, project owner, or accepted design can change. Keep those details with their source and current status, then retrieve them for the task. That makes a correction visible instead of depending on an assistant to reconcile several remembered versions.
When does a procedure deserve a skill?
A procedure deserves a skill when you repeat the same method and can describe a good outcome. It should explain when to use it, what information is required, the work to perform, and what to check before returning the result. A collection of favorite phrases is usually insufficient.
Consider a proposal-review procedure. It could require checking the requested scope, marking unsupported promises, comparing each deliverable with the approved outline, and returning open questions. The current client name and approved deadline should arrive as inputs rather than being permanently copied into the procedure.
Anthropic’s Agent Skills overview (opens in a new tab) explains that skills load relevant instructions and resources when needed. A skill can contain supporting files or code, so inspect what you install as carefully as you would another tool with access to your work.
Start with one process you can evaluate. Run it against a familiar example and compare the result with your expected checks. For concrete starting points, see Claude skills examples; keep the choice here focused on whether a method belongs in a skill at all.
How do they work together on a real task?
Say you run a small design studio and need a weekly client update. Background explains that your clients prefer plain language. A skill supplies the method: read the current tasks, separate completed work from open questions, and draft a short update. The project record supplies the actual facts for this week’s work.
- Read the current project record and identify the audience and purpose of the update.
- Use relevant background only where it applies to that audience.
- Follow the update procedure without filling missing facts from assumptions.
- Check every completed claim against the task evidence and keep unanswered questions visible.
- Have a person review the update before it is sent to the client.
This arrangement lets you reuse the method without freezing the project. When the client changes direction, update the decision. When the reporting process improves, update the skill. When the usual audience changes, review the remembered background. Each correction has a clear destination.
Try a second audience before treating the procedure as reusable. Ask for an internal update that includes unresolved technical questions, then a client update that explains the effect on delivery. Both should use the same accepted facts while choosing a suitable level of detail. If a remembered preference overrides that explicit audience, narrow the preference or clarify the procedure.
fenbs can supply the tasks and Decisions and rules that the procedure needs, while its Skills and prompts library holds shared guidance; how it works explains that common record.
Give the procedure current project facts
Add the project, its approved decisions, and its unfinished tasks to fenbs. Ask your connected assistant to read that context before applying a reusable procedure. The method can stay consistent while the project facts change.
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What if a remembered fact conflicts with a skill?
Stop at the conflict and inspect both sources. Suppose memory suggests informal updates while the procedure requests a formal client letter. The useful question is which audience and task each instruction describes. Do not ask the assistant to resolve an organizational choice through a guess about which wording sounds stronger.
Correct the narrowest source that is wrong. If the memory overgeneralizes a preference, narrow it. If the skill uses an obsolete review method, revise the procedure and test it again. If two people disagree about an approval, ask them to settle it and record the outcome.
Give a skill a defined boundary. A drafting method should not grant permission to publish, email a client, or change a shared record. Instructions can describe when approval is required, but actual access still needs controls in the tools performing the action.
Assign someone to maintain each shared procedure. When you change it, write down what changed and run a familiar example again. Keep an older example for comparison so a new instruction does not silently remove an important check. Treat the resulting draft as a chance to evaluate the method, rather than proof that every future use will be correct.
Use a negative example in your review: a proposal that includes a tentative deadline, an unresolved question, and an explicitly rejected idea. Check that the procedure keeps all three distinct. A polished result that silently turns them into commitments needs correction before reuse.
Where should shared decisions and checkpoints live?
Keep the accepted answer with the project, including who chose it and what it applies to. Keep the next action with the task. A personal recollection can help an assistant work, but it is a poor place for a teammate to verify whether a client actually approved a change.
The same principle applies when switching tools. Check that a needed procedure is available in the surface you are using; do not assume an installation or a remembered fact follows you everywhere. For coding workflows, Anthropic documents instruction files and automatic notes separately in Claude Code memory (opens in a new tab).
A saved prompt in a shared library also differs from an installed executable skill. The prompt may describe the method, while the skill may include files, scripts, and setup requirements. Label that difference so a teammate knows whether they are reading guidance or installing something that can act.
Keep the approved method beside the work
Use Skills and prompts in fenbs for the shared instructions connected assistants should read. Keep project approvals in Decisions and rules and the next action in Where we left off. fenbs does not install Claude skill packages for you.
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How to do this with fenbs
- Create a free account, free for one person with no credit card, and add one active project.
- Add its current tasks and record the decisions a person has approved. Keep proposals and unanswered questions separate.
- Save a reusable method in Skills and prompts, naming its intended task, required inputs, and review checks.
- Follow the Claude setup guide on Integrations, then ask the connected assistant to read the project context and the relevant prompt before working.
- Review the output and save progress, including what was checked and what the next session should do.
fenbs is not the right fit if you only want Claude to remember a personal writing preference. It also does not replace the software that runs a Claude skill. Use it when shared work needs an explicit, reviewable record beyond one assistant’s background.
Which should you set up first?
Start with the problem that repeats. If every conversation needs the same simple background, review memory. If a particular task repeatedly misses a step, write a small procedure and test it. If people disagree about the latest approved answer, repair the project record before adding more instructions.
Once the distinction is clear, create a Claude skill for one repeatable method. Use the AI memory hub for broader questions about what should persist. A useful setup makes the next task easier to verify as well as easier to start.