life-controlOrchestrate the Life Control CLI skill for OpenClaw agent fleets: initialize the Life Control database, register agent personas, wire Telegram bots, and run daily routines (Morning Alignment, Body Protocol, Financial Pulse, Social Radar, Work Priming, Shutdown). Use when a user asks to create or run a Life Control system, OpenClaw skill integration, or agent persona automation for personal life tracking.
Install via ClawdBot CLI:
clawdbot install RachitSharma123/life-controlSet up and operate the Life Control CLI so OpenClaw can run agent personas that track life domains (wellness, finance, fashion, career, relationships, spiritual growth) with routines and Telegram notifications.
skills/life-control/scripts/bootstrap.sh.lc dashboard, lc list, and routine scripts to coordinate.If you need persona mappings or OpenClaw-specific notes, load references/openclaw.md.
skills/life-control/scripts/bootstrap.sh.lc fleet.lc add and lc log for structured tracking.qlog for quick metrics (protein, water, workout, expense, meditate).routines/ (Morning Alignment, Body Protocol, Financial Pulse, Social Radar, Work Priming, Shutdown).crontab-template.txt entries for automatic scheduling.lc notify to queue messages per agent.telegram-sender.sh via cron to deliver to each bot.bootstrap.sh: initializes the DB and registers persona agents by calling setup-agents.sh.openclaw.md: persona mapping + OpenClaw integration notes.AI Usage Analysis
Analysis is being generated… refresh in a few seconds.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Search and analyze your own session logs (older/parent conversations) using jq.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linking related objects, enforcing constraints, planning multi-step actions as graph transformations, or when skills need to share state. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", entity CRUD, or cross-skill data access.
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection