Sparc Methodology

npx @claude-flow/cli hooks route --task "specification: [requirements]"

Example:

npx @claude-flow/cli hooks route --task "specification: user authentication with OAuth2, MFA, and session management"

Pseudocode Phase

Write high-level pseudocode for the implementation

npx @claude-flow/cli hooks route --task "pseudocode: [feature]"

Example:

npx @claude-flow/cli hooks route --task "pseudocode: OAuth2 login flow with token refresh"

Architecture Phase

Design system structure, interfaces, and dependencies

npx @claude-flow/cli hooks route --task "architecture: [design]"

Example:

npx @claude-flow/cli hooks route --task "architecture: auth module with service layer, repository, and API endpoints"

Refinement Phase

Iterate on the design based on feedback

npx @claude-flow/cli hooks route --task "refinement: [feedback]"

Example:

npx @claude-flow/cli hooks route --task "refinement: add rate limiting and brute force protection"

Completion Phase

Finalize implementation with tests and documentation

npx @claude-flow/cli hooks route --task "completion: [final checks]"

Example:

npx @claude-flow/cli hooks route --task "completion: verify all tests pass, update API docs, security review"

SPARC Coordinator

Spawn SPARC coordinator agent

npx @claude-flow/cli agent spawn --type sparc-coord --name sparc-lead

Scripts

References

Best Practices

1. Check memory for existing patterns before starting
2. Use hierarchical topology for coordination
3. Store successful patterns after completion
4. Document any new learnings