23blocks-OS
GitHub profile for 23blocks-OS 50 skills
Projects
23blocks-OS / graph-query
Queries a code graph database to analyze component relationships and dependencies, enhancing code understanding and modification.
- Quality Score: Excellent · Mar 19, 2026
- Discovery: 3
- Implementation: 3
- Structure: 3
- Expertise: 3
- Security Score: Audited on Feb 28, 2026 - 64/100 (1 high, 4 medium, 1 low)
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23blocks-OS / docs-search
Facilitates efficient codebase documentation searches for function signatures, API details, and class definitions to ensure accurate implementation.
- Quality Score: Excellent · Mar 19, 2026
- Discovery: 3
- Implementation: 3
- Structure: 3
- Expertise: 2
- Security Score: Audited on Feb 28, 2026 - 64/100 (1 high, 4 medium, 1 low)
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23blocks-OS / memory-search
Enables AI agents to search conversation history and semantic memory for context, enhancing user interactions and decision-making.
- Quality Score: Excellent · Mar 19, 2026
- Discovery: 3
- Implementation: 3
- Structure: 3
- Expertise: 2
- Security Score: Audited on Feb 28, 2026 - 80/100 (4 medium) Read full quality review | Read full security audit
23blocks-OS / planning
Enhances task execution by creating persistent markdown files to track goals, findings, and progress during complex projects.
- Quality Score: Excellent · Mar 19, 2026
- Discovery: 3
- Implementation: 3
- Structure: 2
- Expertise: 2
- Security Score: Audited on Feb 28, 2026 - 66/100 (6 medium, 4 low) Read full quality review | Read full security audit
23blocks-OS / agent-messaging
Facilitates secure messaging between AI agents using the Agent Messaging Protocol, enabling efficient inter-agent communication.
- Quality Score: Excellent · Mar 19, 2026
- Discovery: 2
- Implementation: 3
- Structure: 3
- Expertise: 2
- Security Score: Audited on Feb 28, 2026 - 82/100 (1 high, 3 low) Read full quality review | Read full security audit
23blocks-OS / ai-maestro-agents-management
Manages AI agents through the AI Maestro CLI, enabling creation, updating, and lifecycle management of agents efficiently.
- Quality Score: Excellent · Mar 19, 2026
- Discovery: 3
- Implementation: 3
- Structure: 2
- Expertise: 2
- Security Score: Audited on Feb 28, 2026 - 63/100 (6 medium, 7 low) Read full quality review | Read full security audit