trading-memory-managementManage and standardize trading decision records, extract lessons, and support history retrieval and comparison within the PAI trading system.
Install via ClawdBot CLI:
clawdbot install wuzimaki/trading-memory-managementGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 22, 2026
This skill helps traders standardize decision logs and track performance metrics for daily crypto trades. It automatically extracts lessons from past trades to improve future strategies and supports retrieval of historical decisions for analysis.
Integrate this skill into automated trading bots to maintain structured logs of BUY/SELL/HOLD decisions with timestamps and confidence levels. It enables periodic evaluation of rule effectiveness and error tracking to refine algorithms.
Use this skill to create a learning tool that logs student trading simulations, analyzes mistakes, and provides feedback based on historical rules and outcomes. It helps users build disciplined trading habits through structured memory management.
Advisors can employ this skill to document client trading recommendations and outcomes, ensuring consistency and accountability. It supports weekly reviews to archive old data and update performance statistics for reporting.
Offer this skill as a cloud-based service where users pay a monthly fee for access to memory management tools, automated evaluations, and secure storage of trading logs. Revenue comes from tiered plans based on usage or features.
Sell licenses to financial institutions or trading firms for integrating the skill into their proprietary systems. Provide customization and support services, generating revenue through one-time fees or annual contracts.
Offer a free version with basic memory logging and retrieval, while charging for advanced features like auto-memory management, detailed analytics, and priority support. Revenue is driven by upgrades and add-ons.
💬 Integration Tip
Ensure compatibility with existing trading APIs and data formats; schedule automated tasks like daily evaluations to align with the skill's maintenance protocols.
Scored Jun 19, 2026
Structured reasoning through sequential thinking — break complex problems into steps, solve each independently, verify consistency, synthesize conclusions wi...
Loads and manages company context for all C-suite advisor skills. Reads ~/.claude/company-context.md, detects stale context (>90 days), enriches context duri...
Automatically prune and compact agent memory files to prevent unbounded growth. Circular buffer for logs, importance-based retention for state, and configura...
Founder onboarding interview that captures company context across 7 dimensions. Invoke with /cs:setup for initial interview or /cs:update for quarterly refre...
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vib...
Expert skill for memory-lancedb-pro — a production-grade LanceDB-backed long-term memory plugin for OpenClaw agents with hybrid retrieval, cross-encoder rera...