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aitbc/.windsurf/meta/SKILL_ANALYSIS.md
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Update documentation to reflect 12 atomic skills and current service ports
2026-05-02 14:38:19 +02:00

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description, title, version
description title version
Analyze AITBC blockchain operations skill for weaknesses and refactoring opportunities AITBC Blockchain Skill Analysis 1.0

AITBC Blockchain Skill Analysis

Current Skill Analysis

File: aitbc-blockchain.md (archived legacy)

IDENTIFIED WEAKNESSES:

  1. Mixed Responsibilities - 13,313 bytes covering:

    • Wallet management
    • Transactions
    • AI operations
    • Marketplace operations
    • Node coordination
    • Cross-node operations
    • Analytics
    • Mining operations
  2. Vague Instructions - No clear activation criteria or input/output schemas

  3. Missing Constraints - No limits on scope, tokens, or tool usage

  4. Unclear Output Format - No structured output definition

  5. Missing Environment Assumptions - Inconsistent prerequisite validation

  1. aitbc-wallet-manager - Wallet creation, listing, balance checking
  2. aitbc-transaction-processor - Transaction execution and validation
  3. aitbc-ai-operator - AI job submission and monitoring
  4. aitbc-marketplace-participant - Marketplace operations and listings
  5. aitbc-node-coordinator - Cross-node coordination and messaging
  6. aitbc-analytics-analyzer - Blockchain analytics and performance metrics

CURRENT ACTIVE SKILL SET

The active OpenClaw-style split skills now live in .windsurf/skills/ and include:

  • openclaw-agent-communicator
  • openclaw-session-manager
  • openclaw-coordination-orchestrator
  • openclaw-performance-optimizer
  • openclaw-error-handler
  • openclaw-agent-testing-skill

Current Skill Analysis

File: openclaw-aitbc.md (archived legacy)

IDENTIFIED WEAKNESSES:

  1. Deprecated Status - Marked as legacy with split skills
  2. No Clear Purpose - Migration guide without actionable content
  3. Mixed Documentation - Combines migration guide with skill definition
  • ARCHIVE - This skill is deprecated and serves no purpose
  • Migration already completed - The active skill set now uses the atomic OpenClaw skills listed below

CURRENT ACTIVE SKILL SET

  • openclaw-agent-communicator
  • openclaw-session-manager
  • openclaw-coordination-orchestrator
  • openclaw-performance-optimizer
  • openclaw-error-handler
  • openclaw-agent-testing-skill

Current Skill Analysis

File: openclaw-management.md (archived legacy)

IDENTIFIED WEAKNESSES:

  1. Mixed Responsibilities - 11,662 bytes covering:

    • Agent communication
    • Session management
    • Multi-agent coordination
    • Performance optimization
    • Error handling
    • Debugging
  2. No Output Schema - Missing structured output definition

  3. Vague Activation - Unclear when to trigger this skill

  4. Missing Constraints - No limits on agent operations

  1. openclaw-agent-communicator - Agent message handling and responses
  2. openclaw-session-manager - Session creation and context management
  3. openclaw-coordination-orchestrator - Multi-agent workflow coordination
  4. openclaw-performance-optimizer - Agent performance tuning and optimization
  5. openclaw-error-handler - Error detection and recovery procedures

CURRENT ACTIVE SKILL SET

These are the actual active files in .windsurf/skills/:

  • openclaw-agent-communicator
  • openclaw-session-manager
  • openclaw-coordination-orchestrator
  • openclaw-performance-optimizer
  • openclaw-error-handler
  • openclaw-agent-testing-skill

Refactoring Strategy

PRINCIPLES:

  1. One Responsibility Per Skill - Each skill handles one specific domain
  2. Deterministic Outputs - JSON schemas for predictable results
  3. Clear Activation - Explicit trigger conditions
  4. Structured Process - Analyze → Plan → Execute → Validate
  5. Model Routing - Appropriate model selection for each task

NEXT STEPS:

  1. Create 11 atomic skills with proper structure
  2. Define JSON output schemas for each skill
  3. Specify activation conditions and constraints
  4. Suggest model routing for optimal performance
  5. Generate usage examples and expected outputs