planning-code-goal
SKILL.md
Code-Centric Goal-Oriented Action Planning
SPARC-integrated planning for software development objectives with measurable outcomes
Quick Start
# Define code goal
Goal: Implement OAuth2 authentication
# SPARC-GOAP generates phased plan:
Phase 1 (Specification): Define requirements, acceptance criteria
Phase 2 (Pseudocode): Design algorithms, state machines
Phase 3 (Architecture): Design components, API contracts
Phase 4 (Refinement): TDD implementation cycles
Phase 5 (Completion): Integration, validation, deployment
# Execute with SPARC commands
When to Use
- Feature implementation requiring systematic breakdown
- Performance optimization with measurable targets
- Testing strategy development with coverage goals
- API development with clear contract definitions
- Database evolution with migration planning
- Technical debt reduction with incremental milestones
Prerequisites
- Understanding of SPARC methodology phases
- Clear definition of desired outcome
- Access to codebase for state analysis
- Measurable success criteria
Core Concepts
SPARC Phases in Goal Planning
| Phase | GOAP Role | Deliverables |
|---|---|---|
| Specification | Define goal state | Requirements, acceptance criteria |
| Pseudocode | Plan actions | Algorithms, state transitions |
| Architecture | Structure solution | Components, interfaces |
| Refinement | Iterate with TDD | Tests, implementation |
| Completion | Validate goal | Deployment, metrics |
Code State Analysis
current_state = {
test_coverage: 45,
performance_score: 'C',
tech_debt_hours: 120,
features_complete: ['auth', 'user-mgmt'],
bugs_open: 23
}
goal_state = {
test_coverage: 80,
performance_score: 'A',
tech_debt_hours: 40,
features_complete: [...current, 'payments', 'notifications'],
bugs_open: 5
}
Milestone Definition
interface CodeMilestone {
id: string;
description: string;
sparc_phase: 'specification' | 'pseudocode' | 'architecture' | 'refinement' | 'completion';
preconditions: string[];
deliverables: string[];
success_criteria: Metric[];
estimated_hours: number;
dependencies: string[];
}
Implementation Pattern
class SPARCGoalPlanner {
async achieveGoal(goal: CodeGoal): Promise<GoalResult> {
// 1. SPECIFICATION: Define goal state
const spec = await this.specifyGoal(goal);
// 2. PSEUDOCODE: Plan action sequence
const actionPlan = await this.planActions(spec);
// 3. ARCHITECTURE: Structure solution
const architecture = await this.designArchitecture(actionPlan);
// 4. REFINEMENT: Iterate with TDD
const implementation = await this.refineWithTDD(architecture);
// 5. COMPLETION: Validate and deploy
return await this.completeGoal(implementation, spec);
}
async findOptimalPath(
currentState: CodeState,
goalState: CodeState
): Promise<ActionPlan> {
const actions = this.getAvailableSPARCActions();
return this.aStarSearch(currentState, goalState, actions);
}
}
Configuration
sparc_goap_config:
phases:
specification:
timeout_minutes: 30
architecture:
timeout_minutes: 45
refinement:
timeout_minutes: 120
completion:
timeout_minutes: 60
metrics:
test_coverage_target: 80
performance_target: "A"
max_tech_debt_hours: 40
risk_assessment:
technical_weight: 0.3
timeline_weight: 0.3
quality_weight: 0.2
security_weight: 0.2
Usage Examples
Example 1: Feature Implementation Plan
goal: implement_payment_processing_with_sparc
sparc_phases:
specification:
deliverables:
- requirements_doc
- acceptance_criteria
- test_scenarios
success_criteria:
- all_payment_types_defined
- security_requirements_clear
- compliance_standards_identified
pseudocode:
deliverables:
- payment_flow_logic
- error_handling_patterns
- state_machine_design
architecture:
deliverables:
- system_components
- api_contracts
- database_schema
refinement:
deliverables:
- unit_tests
- integration_tests
- implemented_features
success_criteria:
- test_coverage_80_percent
- all_tests_passing
completion:
deliverables:
- deployed_system
- documentation
- monitoring_setup
goap_milestones:
- setup_payment_provider:
sparc_phase: specification
preconditions: [api_keys_configured]
deliverables: [provider_client, test_environment]
success_criteria: [can_create_test_charge]
- implement_checkout_flow:
sparc_phase: refinement
preconditions: [payment_provider_ready, ui_framework_setup]
deliverables: [checkout_component, payment_form]
success_criteria: [form_validation_works, ui_responsive]
- add_webhook_handling:
sparc_phase: completion
preconditions: [server_endpoints_available]
deliverables: [webhook_endpoint, event_processor]
success_criteria: [handles_all_event_types, idempotent_processing]
Example 2: Performance Optimization Goal
goal: reduce_api_latency_50_percent
analysis:
- profile_current_performance:
tools: [profiler, APM, database_explain]
metrics: [p50_latency, p99_latency, throughput]
optimizations:
- database_query_optimization:
sparc_phase: refinement
actions: [add_indexes, optimize_joins, implement_pagination]
expected_improvement: 30%
success_metric: "p99 < 100ms"
- implement_caching_layer:
sparc_phase: architecture
actions: [redis_setup, cache_warming, invalidation_strategy]
expected_improvement: 25%
- code_optimization:
sparc_phase: refinement
actions: [algorithm_improvements, parallel_processing, batch_operations]
expected_improvement: 15%
Example 3: Testing Strategy Goal
goal: achieve_80_percent_coverage
current_coverage: 45
test_pyramid:
unit_tests:
target: 60%
sparc_phase: refinement
focus: [business_logic, utilities, validators]
integration_tests:
target: 25%
sparc_phase: completion
focus: [api_endpoints, database_operations, external_services]
e2e_tests:
target: 15%
sparc_phase: completion
focus: [critical_user_journeys, payment_flow, authentication]
milestones:
- milestone_55:
actions: [add_unit_tests_for_core_services]
deadline: "week 1"
- milestone_65:
actions: [add_integration_tests_for_api]
deadline: "week 2"
- milestone_80:
actions: [add_e2e_tests, increase_unit_coverage]
deadline: "week 3"
Execution Checklist
- Analyze current code state (coverage, performance, debt)
- Define goal state with measurable criteria
- Map goal to SPARC phases
- Generate GOAP milestones for each phase
- Estimate effort and dependencies
- Execute SPARC commands for each phase
- Track metrics throughout execution
- Validate goal achievement with success criteria
- Document patterns for future goals
Best Practices
- Measurable Goals: Every goal needs quantifiable success criteria
- Phase Alignment: Map GOAP actions to appropriate SPARC phases
- TDD Integration: Use refinement phase for test-first development
- Incremental Progress: Track metrics at each milestone
- Risk Assessment: Evaluate technical, timeline, quality, security risks
- Pattern Learning: Store successful plans for reuse
Error Handling
Goal Infeasibility
// Goal cannot be achieved with available resources
if (!canAchieveGoal(currentState, goalState, constraints)) {
// Suggest achievable subset
const achievableGoal = findMaximalAchievableSubset(goalState);
console.log(`Full goal not achievable. Suggested: ${achievableGoal}`);
// Identify blocking constraints
const blockers = identifyBlockers(goalState);
console.log(`Blocked by: ${blockers}`);
}
Phase Failures
// SPARC phase did not complete successfully
if (phaseResult.failed) {
// Identify specific failures
const failures = phaseResult.failedCriteria;
// Attempt retry with adjusted parameters
if (canRetry(failures)) {
await retryPhase(phase, adjustedConfig);
} else {
// Replan from current state
await replanFromPhase(phase);
}
}
Metrics & Success Criteria
Code Quality Metrics
| Metric | Target | Measurement |
|---|---|---|
| Cyclomatic Complexity | < 10 | Per function |
| Code Duplication | < 3% | Codebase-wide |
| Test Coverage | > 80% | Line coverage |
| Technical Debt Ratio | < 5% | SonarQube |
Performance Metrics
| Metric | Target | Measurement |
|---|---|---|
| Response Time (p99) | < 200ms | APM |
| Throughput | > 1000 req/s | Load test |
| Error Rate | < 0.1% | Monitoring |
| Availability | > 99.9% | Uptime |
Delivery Metrics
| Metric | Target | Measurement |
|---|---|---|
| Lead Time | < 1 day | Deploy tracking |
| Deploy Frequency | > 1/day | CI/CD |
| MTTR | < 1 hour | Incident tracking |
| Change Failure Rate | < 5% | Rollback rate |
Integration Points
MCP Tools
// Initialize SPARC-enhanced swarm
topology: "hierarchical",
maxAgents: 5
});
// Spawn SPARC-specific agents
type: "sparc-coder",
capabilities: ["specification", "pseudocode", "architecture", "refinement", "completion"]
});
// Orchestrate development tasks
task: "implement_oauth_system",
strategy: "adaptive",
priority: "high"
});
// Store successful patterns
action: "store",
namespace: "code-patterns",
key: "oauth_implementation_plan",
value: JSON.stringify(successfulPlan)
});
SPARC Commands
# Full SPARC-GOAP workflow
# Batch processing
Related Skills
- planning-goal - General GOAP planning
- sparc-workflow - SPARC methodology
- testing-tdd-london - TDD implementation
References
Version History
- 1.0.0 (2026-01-02): Initial release - converted from code-goal-planner agent
Weekly Installs
12
Repository
vamseeachanta/workspace-hubFirst Seen
Jan 24, 2026
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