10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
Skill: Persistent User Memory
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install eyadhrif/persistent-user-memoryInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Version: 1.0.0
Author: community
Tags: memory, personalization, context, learning, stateful
Requires: file system access, optional: vector store or SQLite
This skill gives OpenClaw a long-term, structured memory of the user it works with. Unlike session-scoped context, this memory persists across restarts, learns from patterns over time, and is actively consulted before every significant action.
The goal: make OpenClaw behave less like a capable stranger and more like a trusted assistant who actually knows you.
All memory is stored in a local file:
~/.openclaw/memory/user_profile.json
Never store memory in a temp directory. Never delete this file unless the user explicitly says "reset my memory" or "forget everything".
{
"identity": {
"name": "",
"timezone": "",
"language": "en",
"preferred_name": ""
},
"preferences": {
"communication": {
"email_tone": "formal | casual | neutral",
"response_length": "concise | detailed",
"sign_off": ""
},
"scheduling": {
"protected_hours": [],
"preferred_meeting_times": [],
"buffer_between_meetings_minutes": 15
},
"work": {
"tools": [],
"stacks": [],
"working_hours": { "start": "", "end": "" }
}
},
"relationships": {
"contacts": [
{
"name": "",
"alias": [],
"relationship": "boss | colleague | client | friend | family",
"communication_notes": "",
"last_interaction": ""
}
]
},
"patterns": {
"recurring_tasks": [],
"common_mistakes": [],
"frequent_requests": []
},
"episodic": [
{
"date": "",
"summary": "",
"outcome": "",
"tags": []
}
],
"meta": {
"created_at": "",
"last_updated": "",
"version": "1.0.0"
}
}
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
An OpenClaw skill that makes your agent actually remember you.
Every time OpenClaw starts a new session, it forgets everything.
It doesn't know your name. It doesn't know that you hate morning meetings, that "Sarah" means Ms. Chen your most important client, or that the last deployment failed because of a missing env var. You repeat yourself constantly, and the agent never gets better at working with you specifically.
That's what this skill fixes.
persistent-user-memory gives OpenClaw a structured, local memory of you that grows over time:
The agent reads this memory before acting and updates it after learning — silently, without interrupting your workflow.
claw skill install persistent-user-memory
Or manually:
mkdir -p ~/.openclaw/skills/persistent-user-memory
cp SKILL.md ~/.openclaw/skills/persistent-user-memory/SKILL.md
The agent loads your profile and applies relevant context automatically.
You ask it to email "David" → it checks your contacts, finds two Davids, asks which one rather than guessing.
When you correct the agent, state a preference, or complete a recurring task, memory is updated.
You say "never schedule before 9:30am" → stored immediately, respected forever.
The agent surfaces past context when it's genuinely useful — not constantly.
"Last time you ran this deploy it failed due to a missing env var — want me to check first?"
# Skill: Persistent User Memory
**Version:** 1.0.0
**Author:** community
**Tags:** `memory`, `personalization`, `context`, `learning`, `stateful`
**Requires:** file system access, optional: vector store or SQLite
---
## Overview
This skill gives OpenClaw a long-term, structured memory of the user it works with. Unlike session-scoped context, this memory persists across restarts, learns from patterns over time, and is actively consulted before every significant action.
The goal: make OpenClaw behave less like a capable stranger and more like a trusted assistant who actually knows you.
---
## Memory Store Location
All memory is stored in a local file:
```
~/.openclaw/memory/user_profile.json
```
Never store memory in a temp directory. Never delete this file unless the user explicitly says `"reset my memory"` or `"forget everything"`.
---
## Memory Schema
```json
{
"identity": {
"name": "",
"timezone": "",
"language": "en",
"preferred_name": ""
},
"preferences": {
"communication": {
"email_tone": "formal | casual | neutral",
"response_length": "concise | detailed",
"sign_off": ""
},
"scheduling": {
"protected_hours": [],
"preferred_meeting_times": [],
"buffer_between_meetings_minutes": 15
},
"work": {
"tools": [],
"stacks": [],
"working_hours": { "start": "", "end": "" }
}
},
"relationships": {
"contacts": [
{
"name": "",
"alias": [],
"relationship": "boss | colleague | client | friend | family",
"communication_notes": "",
"last_interaction": ""
}
]
},
"patterns": {
"recurring_tasks": [],
"common_mistakes": [],
"frequent_requests": []
},
"episodic": [
{
"date": "",
"summary": "",
"outcome": "",
"tags": []
}
],
"meta": {
"created_at": "",
"last_updated": "",
"version": "1.0.0"
}
}
```
---
## Core Behaviors
### 1. Read...# 🧠 persistent-user-memory > An OpenClaw skill that makes your agent actually remember you. --- ## The Problem Every time OpenClaw starts a new session, it forgets everything. It doesn't know your name. It doesn't know that you hate morning meetings, that "Sarah" means Ms. Chen your most important client, or that the last deployment failed because of a missing env var. You repeat yourself constantly, and the agent never gets better at working *with you specifically*. **That's what this skill fixes.** --- ## What It Does `persistent-user-memory` gives OpenClaw a structured, local memory of you that grows over time: - 👤 **Identity & preferences** — tone, schedule, tools, working hours - 🤝 **Relationships** — who your contacts are, how to communicate with them - 🔁 **Patterns** — recurring tasks, common mistakes, frequent requests - 📓 **Episodic log** — a running summary of significant past interactions The agent reads this memory before acting and updates it after learning — silently, without interrupting your workflow. --- ## Install ```bash claw skill install persistent-user-memory ``` Or manually: ```bash mkdir -p ~/.openclaw/skills/persistent-user-memory cp SKILL.md ~/.openclaw/skills/persistent-user-memory/SKILL.md ``` --- ## How It Works ### Before every significant action The agent loads your profile and applies relevant context automatically. > You ask it to email "David" → it checks your contacts, finds two Davids, asks which one rather than guessing. ### After every learning moment When you correct the agent, state a preference, or complete a recurring task, memory is updated. > You say "never schedule before 9:30am" → stored immediately, respected forever. ### Proactively, when it matters The agent surfaces past context when it's genuinely useful — not constantly. > "Last time you ran this deploy it failed due to a missing env var — want me to check first?" --- ## Privacy - ✅ All memory stored **locally only** at `~/.openclaw...
generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
Productivity system based on Maya calendar with 13 natural tones for project management and personal development
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.