Agent skill

when-using-sparc-methodology-use-sparc-workflow

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/when-using-sparc-methodology-use-sparc-workflow

SKILL.md

/============================================================================/ /* SKILL SKILL :: VERILINGUA x VERIX EDITION / /============================================================================*/


name: skill version: 1.0.0 description: | [assert|neutral] skill skill for orchestration workflows [ground:given] [conf:0.95] [state:confirmed] category: orchestration tags:

  • general author: system cognitive_frame: primary: aspectual goal_analysis: first_order: "Execute skill workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic orchestration processes"

/----------------------------------------------------------------------------/ /* S0 META-IDENTITY / /----------------------------------------------------------------------------*/

[define|neutral] SKILL := { name: "skill", category: "orchestration", version: "1.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed]

/----------------------------------------------------------------------------/ /* S1 COGNITIVE FRAME / /----------------------------------------------------------------------------*/

[define|neutral] COGNITIVE_FRAME := { frame: "Aspectual", source: "Russian", force: "Complete or ongoing?" } [ground:cognitive-science] [conf:0.92] [state:confirmed]

Kanitsal Cerceve (Evidential Frame Activation)

Kaynak dogrulama modu etkin.

/----------------------------------------------------------------------------/ /* S2 TRIGGER CONDITIONS / /----------------------------------------------------------------------------*/

[define|neutral] TRIGGER_POSITIVE := { keywords: ["skill", "orchestration", "workflow"], context: "user needs skill capability" } [ground:given] [conf:1.0] [state:confirmed]

/----------------------------------------------------------------------------/ /* S3 CORE CONTENT / /----------------------------------------------------------------------------*/

When Using SPARC Methodology Use SPARC Workflow

Kanitsal Cerceve (Evidential Frame Activation)

Kaynak dogrulama modu etkin.


name: when-using-sparc-methodology-use-sparc-workflow trigger: "when user requests SPARC methodology, systematic development, or TDD workflow" description: "Complete SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) methodology workflow with multi-agent coordination for systematic test-driven development" version: 2.0.0 author: Base Template Generator category: methodology tags:

  • sparc
  • methodology
  • tdd
  • systematic-development
  • multi-phase agents:
  • researcher (specification)
  • planner (pseudocode)
  • system-architect (architecture)
  • coder (refinement)
  • tester (validation)
  • reviewer (quality)
  • api-docs (documentation) coordinator: hierarchical-coordinator memory_patterns:
  • swarm/sparc/specification
  • swarm/sparc/pseudocode
  • swarm/sparc/architecture
  • swarm/sparc/refinement
  • swarm/sparc/completion success_criteria:
  • Detailed specification documented
  • Pseudocode algorithm designed
  • System architecture defined
  • Implementation refined through TDD
  • All tests passing with ≥90% coverage
  • Integration complete and validated
  • Comprehensive documentation generated

Trigger Conditions

Use this skill when:

  • User requests SPARC methodology application
  • Systematic development workflow needed
  • Test-driven development (TDD) approach required
  • Complex feature requiring phased approach
  • Architecture-first development desired
  • Quality gates and validation at each phase needed
  • Comprehensive documentation required
  • Multi-agent coordinated development

Skill Overview

SPARC is a systematic development methodology with 5 phases: Specification (requirements), Pseudocode (algorithm design), Architecture (system design), Refinement (TDD implementation), and Completion (integration & documentation). This skill orchestrates all phases with specialized agents coordinating through hierarchical topology and shared memory.

SPARC Methodology Overview

S - Specification: Capture requirements and define success criteria P - Pseudocode: Design algorithm and logic flow A - Architecture: Design system structure and components R - Refinement: Implement through TDD with iterative improvement C - Completion: Integration, validation, and documentation

7-Phase Skill-Forge Methodology

Phase 1: Specification (Requirements Analysis)

Objective: Capture comprehensive requirements and define success criteria

Agent: researcher (specification specialist)

Activities:

  • Gather and analyze user requirements
  • Define functional and non-functional requirements
  • Identify constraints and dependencies
  • Define acceptance criteria and test scenarios
  • Document edge cases and error conditions
  • Create requirements specification document
  • Store specification in memory

Memory Keys:

  • swarm/sparc/specification/requirements
  • swarm/sparc/specification/acceptance-criteria
  • swarm/sparc/specification/constraints
  • swarm/sparc/specification/edge-cases

Script:

bash
npx claude-flow@alpha hooks pre-task --description "SPARC Phase 1: Specification"
npx claude-flow@alpha hooks session-restore --session-id "sparc-${PROJECT_ID}"

# Capture requirements
cat > docs/sparc/01-specification.md << 'EOF'
# SPARC Phase 1: Specification

## Project: ${PROJECT_NAME}

### Functional Requirements
1. [FR1] User authentication with email/password
2. [FR2] JWT token-based session management
3. [FR3] Password reset via email
4. [FR4] Role-based access control (RBAC)

### Non-Functional Requirements
1. [NFR1] Response time < 200ms for auth endpoints
2. [NFR2] Support 1000 concurrent users
3. [NFR3] 99.9% uptime SLA

### Constraints
- Must use existing PostgreSQL database
- Must integrate with existing email service
- Must follow OWASP security guidelines

### Acceptance Criteria
- User can register with em

/*----------------------------------------------------------------------------*/
/* S4 SUCCESS CRITERIA                                                         */
/*----------------------------------------------------------------------------*/

[define|neutral] SUCCESS_CRITERIA := {
  primary: "Skill execution completes successfully",
  quality: "Output meets quality thresholds",
  verification: "Results validated against requirements"
} [ground:given] [conf:1.0] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* S5 MCP INTEGRATION                                                          */
/*----------------------------------------------------------------------------*/

[define|neutral] MCP_INTEGRATION := {
  memory_mcp: "Store execution results and patterns",
  tools: ["mcp__memory-mcp__memory_store", "mcp__memory-mcp__vector_search"]
} [ground:witnessed:mcp-config] [conf:0.95] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* S6 MEMORY NAMESPACE                                                         */
/*----------------------------------------------------------------------------*/

[define|neutral] MEMORY_NAMESPACE := {
  pattern: "skills/orchestration/skill/{project}/{timestamp}",
  store: ["executions", "decisions", "patterns"],
  retrieve: ["similar_tasks", "proven_patterns"]
} [ground:system-policy] [conf:1.0] [state:confirmed]

[define|neutral] MEMORY_TAGGING := {
  WHO: "skill-{session_id}",
  WHEN: "ISO8601_timestamp",
  PROJECT: "{project_name}",
  WHY: "skill-execution"
} [ground:system-policy] [conf:1.0] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* S7 SKILL COMPLETION VERIFICATION                                            */
/*----------------------------------------------------------------------------*/

[direct|emphatic] COMPLETION_CHECKLIST := {
  agent_spawning: "Spawn agents via Task()",
  registry_validation: "Use registry agents only",
  todowrite_called: "Track progress with TodoWrite",
  work_delegation: "Delegate to specialized agents"
} [ground:system-policy] [conf:1.0] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* S8 ABSOLUTE RULES                                                           */
/*----------------------------------------------------------------------------*/

[direct|emphatic] RULE_NO_UNICODE := forall(output): NOT(unicode_outside_ascii) [ground:windows-compatibility] [conf:1.0] [state:confirmed]

[direct|emphatic] RULE_EVIDENCE := forall(claim): has(ground) AND has(confidence) [ground:verix-spec] [conf:1.0] [state:confirmed]

[direct|emphatic] RULE_REGISTRY := forall(agent): agent IN AGENT_REGISTRY [ground:system-policy] [conf:1.0] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* PROMISE                                                                     */
/*----------------------------------------------------------------------------*/

[commit|confident] <promise>SKILL_VERILINGUA_VERIX_COMPLIANT</promise> [ground:self-validation] [conf:0.99] [state:confirmed]

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