Thanos Management
System maintenance, memory queries, and pattern analysis. USE WHEN user mentions system, memory, patterns, history, past conversations, what did I, or meta-level system questions.
Best use case
Thanos Management is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
System maintenance, memory queries, and pattern analysis. USE WHEN user mentions system, memory, patterns, history, past conversations, what did I, or meta-level system questions.
Teams using Thanos Management should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/Thanos/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Thanos Management Compares
| Feature / Agent | Thanos Management | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
System maintenance, memory queries, and pattern analysis. USE WHEN user mentions system, memory, patterns, history, past conversations, what did I, or meta-level system questions.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Thanos Management Skill ## System Overview Thanos is Jeremy's external prefrontal cortex - managing tasks, tracking commitments, surfacing patterns, and providing total recall across all life domains. ## Core Components - **State/**: Current state (focus, commitments, waiting-for) - **History/**: All past sessions, logs, decisions - **Memory/**: Vector store for semantic search - **Skills/**: Domain expertise and workflows - **Agents/**: Specialized personas (Ops, Coach, Health, Strategy) - **Inbox/**: Mobile capture landing zone ## Workflow Routing - System maintenance → Workflows/SystemMaintenance.md - Memory queries → Workflows/MemoryQuery.md - Pattern analysis → Workflows/PatternAnalysis.md ## Memory System - **Storage**: ChromaDB for vector embeddings - **Collections**: conversations, commitments, decisions, daily_logs, learnings - **Query**: Natural language search across all history ### Memory Query Examples - "What did I decide about X?" - "When did I last talk about Y?" - "What patterns do I have around Z?" - "What commitments have I made to Ashley?" - "What were my energy levels like last week?" ## Pattern Detection The system watches for: - Recurring avoidance behaviors - Energy patterns (best times, crash patterns) - Commitment follow-through rates - Client interaction patterns - Relationship maintenance gaps ## System Health Checks - [ ] State files current? (updated today) - [ ] Inbox empty? (processed) - [ ] Memory indexed? (recent sessions captured) - [ ] Commitments reviewed? (nothing stale) - [ ] Weekly review done? (this week) ## Maintenance Tasks ### Daily - Process Inbox/ - Update State/Today.md - Log to History/DailyLogs/ ### Weekly - Full weekly review - Pattern analysis - Memory cleanup if needed - State file refresh ### Monthly - Archive old sessions - Review and prune commitments - System performance check - Backup Memory/ ## Troubleshooting - **Memory not finding things**: Check if sessions are being indexed - **Patterns not surfacing**: Need more history data - **State feels stale**: Run SystemMaintenance workflow - **Inbox overflowing**: Schedule processing time
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