Sparc Implement
Run the SPARC Pseudocode and Architecture phases (2 and 3) — write algorithm pseudocode, design module boundaries and API contracts, then implement
- Skill ID
- ruvnet/ruflo/sparc-implement
- Publisher
- ruvnet
- Repository
- ruflo
- Installs
- 0
- Files
- 1
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
ruvnet/ruflo/sparc-implementInstalls these files- SKILL.md
What this skill tells the agent
SPARC Architecture + Implementation
Run Phases 2 and 3 of the SPARC methodology: design algorithms with pseudocode, then establish architecture with module boundaries and API contracts.
When to use
After the Specification phase is complete and its gate has been passed. This skill covers both the Pseudocode and Architecture phases as they are tightly coupled — algorithm design informs module boundaries and vice versa.
Steps
- Retrieve specification — call
mcp__plugin_ruflo-core_ruflo__memory_searchwith namespacesparc-phasesand query for the feature's spec. Extract requirements, acceptance criteria, constraints, and edge cases.
- Retrieve phase state — call
mcp__plugin_ruflo-core_ruflo__memory_searchwith namespacesparc-stateand query for the feature to confirm we are in Phase 2 or 3.
- Search for architectural patterns — call
mcp__plugin_ruflo-core_ruflo__neural_predictwith the feature description to find relevant architectural decisions from past projects
- Phase 2 — Pseudocode Design: a. For each acceptance criterion, write language-agnostic pseudocode that satisfies it b. Define core data structures with type annotations c. Map control flow including:
- Happy path
- Error/exception paths for each edge case
- Concurrent access handling if applicable d. Annotate algorithmic complexity (time and space) for critical paths e. Store pseudocode artifact:
- Call
mcp__plugin_ruflo-core_ruflo__memory_storewith namespacesparc-phases, keypseudo-{feature-slug} - Value:
{ status: "complete", algorithms: [...], dataStructures: [...], controlFlow: [...], complexity: {...} }
- Phase 3 — Architecture Design: a. Define bounded contexts and aggregate roots following DDD patterns:
- Identify entity boundaries and value objects
- Define aggregate invariants
- Map domain events b. Design API contracts:
- Request/response schemas with TypeScript interfaces
- Error response codes and formats
- Versioning strategy if applicable c. Plan module boundaries:
- Directory structure
- Dependency direction rules (no circular dependencies)
- Public vs internal interfaces d. Specify infrastructure concerns:
- Persistence strategy (database, cache, file)
- Messaging patterns (sync, async, event-driven)
- Configuration and environment requirements e. Store architecture artifact:
- Call
mcp__plugin_ruflo-core_ruflo__memory_storewith namespacesparc-phases, keyarch-{feature-slug} - Value:
{ status: "complete", boundedContexts: [...], apiContracts: [...], moduleBoundaries: {...}, infrastructure: {...} }
- Update phase state — call
mcp__plugin_ruflo-core_ruflo__memory_storewith namespacesparc-state, updating current phase to 3 (Architecture) with both artifacts recorded
- Record trajectory step — call
mcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-stepwith architecture summary
- Begin implementation — if the user confirms, proceed to write production code: a. Create files following the defined module boundaries b. Implement interfaces and types first c. Implement core logic following the pseudocode d. Write unit tests alongside implementation (TDD when possible) e. Run tests to verify acceptance criteria
- Present architecture — display the architecture decision record and suggest running
/sparc advanceto pass the Phase 3 gate
Output format
# Pseudocode: {Feature Name}
## Core Algorithms
### Algorithm 1: {name}FUNCTION processRequest(input): VALIDATE input against schema IF invalid THEN THROW ValidationError result <- TRANSFORM input STORE result RETURN result
Complexity: O(n) time, O(1) space
## Data Structures
- {StructName}: { field1: type, field2: type }
---
# Architecture: {Feature Name}
## Bounded Contexts
- {ContextName}: {description}
- Aggregates: {list}
- Events: {list}
## API Contracts
### POST /api/{resource}
- Request: { field1: string, field2: number }
- Response: { id: string, ...fields }
- Errors: 400 (validation), 409 (conflict), 500 (internal)
## Module Structuresrc/{feature}/ {feature}.types.ts # Interfaces and types {feature}.service.ts # Business logic {feature}.controller.ts # HTTP handling {feature}.repository.ts # Data access {feature}.test.ts # Tests
## Infrastructure
- Persistence: {strategy}
- Caching: {strategy}
- Events: {strategy}
---
Phases 2-3 complete. Run `/sparc advance` to pass the gate check.More from ruvnet
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