/remember
Explicitly save important knowledge to auto-memory with timestamp and context. Use when a discovery is too important to rely on auto-capture.
One skill from claude-skills.
shell
$ npx -y skills add alirezarezvani/claude-skills --skill remember --agent claude-codeInstalls just this skill. Get the whole plugin for auto-invocation.
How it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/remember
Context preview
The summary Claude sees to decide when to auto-load this skill.
Explicitly save important knowledge to auto-memory with timestamp and context. Use when a discovery is too important to rely on auto-capture.
Stats
Stars23,060
Forks3,139
LanguagePython
LicenseMIT
Ships with claude-skills
SKILL.md
remember.SKILL.md
--- name: "remember" description: "Explicitly save important knowledge to auto-memory with timestamp and context. Use when a discovery is too important to rely on auto-capture." --- # /si:remember — Save Knowledge Explicitly Writes an explicit entry to auto-memory when something is important enough that you don't want to rely on Claude noticing it automatically. ## Usage ``` /si:remember <what to remember> /si:remember "This project's CI requires Node 20 LTS — v22 breaks the build" /si:remember "The /api/auth endpoint uses a custom JWT library, not passport" /si:remember "Reza prefers explicit error handling over try-catch-all patterns" ``` ## When to Use | Situation | Example | |-----------|---------| | Hard-won debugging insight | "CORS errors on /api/upload are caused by the CDN, not the backend" | | Project convention not in CLAUDE.md | "We use barrel exports in src/components/" | | Tool-specific gotcha | "Jest needs `--forceExit` flag or it hangs on DB tests" | | Architecture decision | "We chose Drizzle over Prisma for type-safe SQL" | | Preference you want Claude to learn | "Don't add comments explaining obvious code" | ## Workflow ### Step 1: Parse the knowledge
