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Remembering Conversations

Checked
obra·vlatest·other·MIT

This skill allows the AI to recall details from previous turns in a conversation, improving context and creating more natural, sustained interactions.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add obra/episodic-memory --skill remembering-conversations -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

obra

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned obra/episodic-memory at 7e06519357.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
7e06519357
Manifest
skills/remembering-conversations/SKILL.md
Scanned
2 files, 213 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows an AI agent to retain and recall information from previous turns in a conversation. It enables agents to reference earlier statements, maintain context over longer interactions, and avoid repetitive questioning. The agent can store and retrieve details like user preferences, previously discussed topics, or specific instructions given earlier in the session.

When to use it

  • Complex tasks: When guiding a user through multi-step processes where previous choices impact later steps (e.g., booking travel).
  • Personalized interactions: To remember user preferences and tailor responses accordingly (e.g., remembering dietary restrictions for restaurant recommendations).
  • Troubleshooting support: To recall details of an issue described earlier in a conversation to aid in diagnosis.
  • Long-form conversations: When the agent needs to maintain context across extended dialogues, preventing it from "forgetting" what was already discussed.

Key capabilities

  • Stores conversational history.
  • Retrieves information from past turns.
  • Maintains context over multiple interactions.
  • Avoids repetitive questioning by referencing prior input.

Example prompts

  • “Remember that I prefer Italian food.”
  • "What did I say my budget was?"
  • "Can you summarize what we've discussed so far regarding the project requirements?"

Tips & gotchas

The effectiveness of this skill depends on clear and concise communication. Ambiguous or overly complex statements may be difficult for the agent to accurately store and recall.