framework-architecture
Design and evolve the architecture of the Paracle multi-agent framework. Use when discussing system design, architecture decisions, component structure, or technical debt.
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Design and evolve the architecture of the Paracle multi-agent framework. Use when discussing system design, architecture decisions, component structure, or technical debt.
Optimize API performance, database queries, caching, and profiling. Use when improving system performance to meet
Expert-level git workflow management, conventional commits, branching strategies, and merge operations. Use for git operations, branch management, and commit standardization.
Develop, test, and maintain the Paracle framework codebase. Use when implementing features, fixing bugs, writing tests, or refactoring framework code.
Continuous learning and improvement system for paracle_meta. Use when you need to record feedback, track quality metrics, or improve generation templates over time.
Write comprehensive tests (unit, integration, e2e), manage test coverage, and ensure code quality. Use when writing tests, improving coverage, or debugging test failures.
Design and implement DAG-based workflows with parallel execution, retries, and error handling. Use when building complex multi-step agent workflows.
Configure agent specs, inheritance, skills, and tools in .parac/ workspace. Use when setting up or customizing agents.
Configure agent specs, inheritance, skills, and tools in .parac/ workspace. Use when setting up or customizing agents.
Advanced AI capabilities for paracle_meta including web search, code execution, MCP integration, and autonomous agent spawning. Use when you need enhanced AI functionality beyond basic generation.
Comprehensive security implementation covering authentication, authorization, input validation, vulnerability detection, compliance, and security standards (OWASP, ISO 27001, SOC2, CWE). Use when securing appli...
Implement authentication, authorization, input validation, and security best practices. Use when securing API endpoints and data.
Design and implement DAG-based workflows with parallel execution, retries, and error handling. Use when building complex multi-step agent workflows.
Optimize API performance, database queries, caching, and profiling. Use when improving system performance to meet
Design and implement REST APIs using FastAPI. Use when creating endpoints, request/response schemas, middleware, error handling, or API documentation.
Create custom tools, integrate external APIs, and manage tool registry. Use when extending agent capabilities with new tools.
Design and implement DAG-based workflows with parallel execution, retries, and error handling. Use when building complex multi-step agent workflows.
Implement authentication, authorization, input validation, and security best practices. Use when securing API endpoints and data.
Design and evolve the architecture of the Paracle multi-agent framework. Use when discussing system design, architecture decisions, component structure, or technical debt.
Expert-level semantic versioning, package publishing, changelog generation, and release orchestration. Use for version management, PyPI/Docker releases, and deployment automation.
Write comprehensive tests (unit, integration, e2e), manage test coverage, and ensure code quality. Use when writing tests, improving coverage, or debugging test failures.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.