sparc-methodology

Name: sparc-methodology
Author: spencermarx

301stars24forks

How to install sparc-methodology?

spencermarx/open-code-review/sparc-methodology

$npx -y skills add spencermarx/open-code-review --skill sparc-methodology

Installs into the current project.

Summary

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

Files · 1

View on GitHub

SKILL.md

1	# SPARC Methodology - Comprehensive Development Framework
2
3	## Overview
4
5	SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) is a systematic development methodology integrated with Claude Flow's multi-agent orchestration capabilities. It provides 17 specialized modes for comprehensive software development, from initial research through deployment and monitoring.
6
7	## Table of Contents
8
9	1. [Core Philosophy](#core-philosophy)
10	2. [Development Phases](#development-phases)
11	3. [Available Modes](#available-modes)
12	4. [Activation Methods](#activation-methods)
13	5. [Orchestration Patterns](#orchestration-patterns)
14	6. [TDD Workflows](#tdd-workflows)
15	7. [Best Practices](#best-practices)
16	8. [Integration Examples](#integration-examples)
17	9. [Common Workflows](#common-workflows)
18
19	---
20
21	## Core Philosophy
22
23	SPARC methodology emphasizes:
24
25	- Systematic Approach: Structured phases from specification to completion
26	- Test-Driven Development: Tests written before implementation
27	- Parallel Execution: Concurrent agent coordination for 2.8-4.4x speed improvements
28	- Memory Integration: Persistent knowledge sharing across agents and sessions
29	- Quality First: Comprehensive reviews, testing, and validation
30	- Modular Design: Clean separation of concerns with clear interfaces
31
32	### Key Principles
33
34	1. Specification Before Code: Define requirements and constraints clearly
35	2. Design Before Implementation: Plan architecture and components
36	3. Tests Before Features: Write failing tests, then make them pass
37	4. Review Everything: Code quality, security, and performance checks
38	5. Document Continuously: Maintain current documentation throughout
39
40	---
41
42	## Development Phases
43
44	### Phase 1: Specification
45	Goal: Define requirements, constraints, and success criteria
46
47	- Requirements analysis
48	- User story mapping
49	- Constraint identification
50	- Success metrics definition
51	- Pseudocode planning
52
53	Key Modes: `researcher`, `analyzer`, `memory-manager`
54
55	### Phase 2: Architecture
56	Goal: Design system structure and component interfaces
57
58	- System architecture design
59	- Component interface definition
60	- Database schema planning
61	- API contract specification
62	- Infrastructure planning
63
64	Key Modes: `architect`, `designer`, `orchestrator`
65
66	### Phase 3: Refinement (TDD Implementation)
67	Goal: Implement features with test-first approach
68
69	- Write failing tests
70	- Implement minimum viable code
71	- Make tests pass
72	- Refactor for quality
73	- Iterate until complete
74
75	Key Modes: `tdd`, `coder`, `tester`
76
77	### Phase 4: Review
78	Goal: Ensure code quality, security, and performance
79
80	- Code quality assessment
81	- Security vulnerability scanning
82	- Performance profiling
83	- Best practices validation
84	- Documentation review
85
86	Key Modes: `reviewer`, `optimizer`, `debugger`
87
88	### Phase 5: Completion
89	Goal: Integration, deployment, and monitoring
90
91	- System integration
92	- Deployment automation
93	- Monitoring setup
94	- Documentation finalization
95	- Knowledge capture
96
97	Key Modes: `workflow-manager`, `documenter`, `memory-manager`
98
99	---
100
101	## Available Modes
102
103	### Core Orchestration Modes
104
105	#### `orchestrator`
106	Multi-agent task orchestration with TodoWrite/Task/Memory coordination.
107
108	Capabilities:
109	- Task decomposition into manageable units
110	- Agent coordination and resource allocation
111	- Progress tracking and result synthesis
112	- Adaptive strategy selection
113	- Cross-agent communication
114
115	Usage:
116	```javascript
117	mcp__claude-flow__sparc_mode {
118	mode: "orchestrator",
119	task_description: "coordinate feature development",
120	options: { parallel: true, monitor: true }
121	}
122	```
123
124	#### `swarm-coordinator`
125	Specialized swarm management for complex multi-agent workflows.
126
127	Capabilities:
128	- Topology optimization (mesh, hierarchical, ring, star)
129	- Agent lifecycle management
130	- Dynamic scaling based on workload
131	- Fault tolerance and recovery
132	- Performance monitoring
133
134	#### `workflow-manager`
135	Process automation and workflow orchestration.
136
137	Capabilities:
138	- Workflow definition and execution
139	- Event-driven triggers
140	- Sequential and parallel pipelines
141	- State management
142	- Error handling and retry logic
143
144	#### `batch-executor`
145	Parallel task execution for high-throughput operations.
146
147	Capabilities:
148	- Concurrent file operations
149	- Batch processing optimization
150	- Resource pooling
151	- Load balancing
152	- Progress aggregation
153
154	---
155
156	### Development Modes
157
158	#### `coder`
159	Autonomous code generation with batch file operations.
160
161	Capabilities:
162	- Feature implementation
163	- Code refactoring
164	- Bug fixes and patches
165	- API development
166	- Algorithm implementation
167
168	Quality Standards:
169	- ES2022+ standards
170	- TypeScript type safety
171	- Comprehensive err

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Type

sparc-methodology

301stars24forks

View on GitHub

How to install sparc-methodology?

spencermarx/open-code-review/sparc-methodology

$npx -y skills add spencermarx/open-code-review --skill sparc-methodology

Installs into the current project.

Summary

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

Files · 1

View on GitHub

SKILL.md

1	# SPARC Methodology - Comprehensive Development Framework
2
3	## Overview
4
5	SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) is a systematic development methodology integrated with Claude Flow's multi-agent orchestration capabilities. It provides 17 specialized modes for comprehensive software development, from initial research through deployment and monitoring.
6
7	## Table of Contents
8
9	1. [Core Philosophy](#core-philosophy)
10	2. [Development Phases](#development-phases)
11	3. [Available Modes](#available-modes)
12	4. [Activation Methods](#activation-methods)
13	5. [Orchestration Patterns](#orchestration-patterns)
14	6. [TDD Workflows](#tdd-workflows)
15	7. [Best Practices](#best-practices)
16	8. [Integration Examples](#integration-examples)
17	9. [Common Workflows](#common-workflows)
18
19	---
20
21	## Core Philosophy
22
23	SPARC methodology emphasizes:
24
25	- Systematic Approach: Structured phases from specification to completion
26	- Test-Driven Development: Tests written before implementation
27	- Parallel Execution: Concurrent agent coordination for 2.8-4.4x speed improvements
28	- Memory Integration: Persistent knowledge sharing across agents and sessions
29	- Quality First: Comprehensive reviews, testing, and validation
30	- Modular Design: Clean separation of concerns with clear interfaces
31
32	### Key Principles
33
34	1. Specification Before Code: Define requirements and constraints clearly
35	2. Design Before Implementation: Plan architecture and components
36	3. Tests Before Features: Write failing tests, then make them pass
37	4. Review Everything: Code quality, security, and performance checks
38	5. Document Continuously: Maintain current documentation throughout
39
40	---
41
42	## Development Phases
43
44	### Phase 1: Specification
45	Goal: Define requirements, constraints, and success criteria
46
47	- Requirements analysis
48	- User story mapping
49	- Constraint identification
50	- Success metrics definition
51	- Pseudocode planning
52
53	Key Modes: `researcher`, `analyzer`, `memory-manager`
54
55	### Phase 2: Architecture
56	Goal: Design system structure and component interfaces
57
58	- System architecture design
59	- Component interface definition
60	- Database schema planning
61	- API contract specification
62	- Infrastructure planning
63
64	Key Modes: `architect`, `designer`, `orchestrator`
65
66	### Phase 3: Refinement (TDD Implementation)
67	Goal: Implement features with test-first approach
68
69	- Write failing tests
70	- Implement minimum viable code
71	- Make tests pass
72	- Refactor for quality
73	- Iterate until complete
74
75	Key Modes: `tdd`, `coder`, `tester`
76
77	### Phase 4: Review
78	Goal: Ensure code quality, security, and performance
79
80	- Code quality assessment
81	- Security vulnerability scanning
82	- Performance profiling
83	- Best practices validation
84	- Documentation review
85
86	Key Modes: `reviewer`, `optimizer`, `debugger`
87
88	### Phase 5: Completion
89	Goal: Integration, deployment, and monitoring
90
91	- System integration
92	- Deployment automation
93	- Monitoring setup
94	- Documentation finalization
95	- Knowledge capture
96
97	Key Modes: `workflow-manager`, `documenter`, `memory-manager`
98
99	---
100
101	## Available Modes
102
103	### Core Orchestration Modes
104
105	#### `orchestrator`
106	Multi-agent task orchestration with TodoWrite/Task/Memory coordination.
107
108	Capabilities:
109	- Task decomposition into manageable units
110	- Agent coordination and resource allocation
111	- Progress tracking and result synthesis
112	- Adaptive strategy selection
113	- Cross-agent communication
114
115	Usage:
116	```javascript
117	mcp__claude-flow__sparc_mode {
118	mode: "orchestrator",
119	task_description: "coordinate feature development",
120	options: { parallel: true, monitor: true }
121	}
122	```
123
124	#### `swarm-coordinator`
125	Specialized swarm management for complex multi-agent workflows.
126
127	Capabilities:
128	- Topology optimization (mesh, hierarchical, ring, star)
129	- Agent lifecycle management
130	- Dynamic scaling based on workload
131	- Fault tolerance and recovery
132	- Performance monitoring
133
134	#### `workflow-manager`
135	Process automation and workflow orchestration.
136
137	Capabilities:
138	- Workflow definition and execution
139	- Event-driven triggers
140	- Sequential and parallel pipelines
141	- State management
142	- Error handling and retry logic
143
144	#### `batch-executor`
145	Parallel task execution for high-throughput operations.
146
147	Capabilities:
148	- Concurrent file operations
149	- Batch processing optimization
150	- Resource pooling
151	- Load balancing
152	- Progress aggregation
153
154	---
155
156	### Development Modes
157
158	#### `coder`
159	Autonomous code generation with batch file operations.
160
161	Capabilities:
162	- Feature implementation
163	- Code refactoring
164	- Bug fixes and patches
165	- API development
166	- Algorithm implementation
167
168	Quality Standards:
169	- ES2022+ standards
170	- TypeScript type safety
171	- Comprehensive err

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6 picks

Type