sparc-methodology
SPARC methodology for multi-agent development: systematic Specification, Pseudocode, Architecture, Refinement, and Completion workflows via Claude Flow orchestration.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
372 skills found
SPARC methodology for multi-agent development: systematic Specification, Pseudocode, Architecture, Refinement, and Completion workflows via Claude Flow orchestration.
Production-ready Scrum Master assistant for sprint management, capacity planning, and real-time team analytics.
Expert Rust analysis for ownership, borrowing, and lifetime errors, including E0382, E0597, and memory safety patterns.
Design and document REST or GraphQL APIs, including endpoint definitions, pagination, filtering, versioning, and OpenAPI/Swagger specifications.
Format and lint JS, TS, and JSON files on the current branch using Biome. Useful for code cleanup before commits or PRs.
Syntax and construction guide for HashQL J-Expr queries, supporting #literal, #struct, #list, and function call patterns for HashQL files.
Explains complex concepts using master teaching frameworks like Feynman, Socratic, and Cognitive Load theory to ensure deep, clear understanding.
A collection of design patterns for the Langroid multi-agent framework, covering agent configuration, tool handling, task orchestration, and external integrations.
Optimize Apache Spark jobs with partitioning strategies, memory management, shuffle tuning, and data skew mitigation for high-performance data processing pipelines.
Master modern React state management. Learn to implement Redux Toolkit, Zustand, Jotai, and React Query for global, server, and local state.
React Native performance optimization guide covering FPS, TTI, bundle size, memory leaks, and profiling patterns based on Callstack's industry-standard expertise.
Analyze source code for security vulnerabilities based on OWASP Top 10 guidelines and suggest remediation strategies.