memory-management
Guide the agent to recall, remember, and route durable learning into Memory, Skills, Scheduled Tasks, or Tape.
npx skills add ThinkInAIXYZ/deepchat --skill memory-management --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Memory Management Use this skill when a task may produce durable learning or when the user asks you to recall, remember, continue earlier work, preserve an exact statement, capture a reusable procedure, or handle a recurring need. ## Recall Rely on automatic memory injection for ordinary context. Use `memory_recall` when the user refers to previous work with cues such as again, last time, before, continue, same project, remember, or asks what you already know. Use `tape_search` and then `tape_context` when the user needs source evidence, exact wording, logs, command output, file snippets, or why a prior decision was made. Memory is a durable conclusion layer, not the raw transcript. ## Remember Use `memory_remember` only for durable conclusions that should change future behavior. Choose the most specific category: - `user_preference`: stable user preferences, constraints, communication style, environment choices. - `project_fact`: durable project conventions, architecture entry points, commands, dependencies, paths, or operational constraints. - `task_outcome`: completed, blocked, or deliberately deferred task results. Include status, outcome, and blocker in prose when relevant.
- Recall
- Remember
- Verbatim Scope
- Procedures -> Skill
- Recurring -> Scheduled Task
- End-of-task Learning Check
What does the memory-management skill do?
Guide the agent to recall, remember, and route durable learning into Memory, Skills, Scheduled Tasks, or Tape.
How do I install it?
Run `npx skills add ThinkInAIXYZ/deepchat --skill memory-management --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ThinkInAIXYZ/deepchat, a repository with 6,191 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.