/sc-work
Build, fix, or modify code - handles all implementation tasks
> /plugin marketplace add kylesnowschwartz/SimpleClaudeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/sc-work
Context preview
What this command does when you run it.
Build, fix, or modify code - handles all implementation tasks
Command definition
sc-work.mdname: sc-work
description: Build, fix, or modify code - handles all implementation tasks
argument-hint: Description of what to build, fix, or modify
sc-work: Universal Implementation Command
**Purpose**: I need to build/fix/modify something - handles all implementation tasks from creating new features to fixing bugs to refactoring code
Agent Orchestration and Deployment Strategy
**Efficiency First:** Handle tasks directly when possible. Use agents only when genuinely needed for:
- Multi-step coordination requiring handoffs
- Specialized domain expertise beyond general capability
- Parallel work streams with interdependencies
- Complex analysis requiring multiple perspectives
- Operations that produce verbose intermediate output
**Direct Agent Rules (ALWAYS delegate these):**
- **Deep codebase analysis** → Use `sc-code-explorer`
- **Architecture design** → Use `sc-code-architect`
- **Code quality review** → Use `sc-code-reviewer`
**Available Agents:**
- `sc-code-explorer` - Deeply analyzes existing codebase features by tracing execution paths and mapping architecture
- `sc-code-architect` - Designs feature architectures by analyzing existing patterns and providing implementation blueprints
- `sc-code-reviewer` - Reviews code for bugs, security vulnerabilities, and adherence to project conventions
**Context Preservation:**
- **Keep only**: user request, actionable recommendations, code changes, summary, next steps
- **Discard**: intermediate outputs, full docs, verbose logs, exploratory reads
**Processing Pipeline**: Parse → Classify → Validate → Route → Execute → Synthesize
Intent Recognition and Semantic Transformation
This command interprets natural language requests that express the intent: "I need to build/fix/modify something" - implementation work including creating, modifying, fixing, refactoring, optimizing, or enhancing code.
**Command Execution:**
**Empty $ARGUMENTS**: Display usage suggestions → stop **Has content**: Parse intent → apply strategy → route execution
**Intent Processing:** Extract intent → Apply strategy matrix → Validate → Execute
**Strategy Matrix:**
| Condition | Direct Handling | Agent Required | | --------- | ------------------- | ------------------------------ | | Task Type | Simple, single-step | See "Direct Agent Rules" above | | Domain | Single, familiar | Multi-tech, unknown | | Context | Available locally | External research needed | | Output | Concise, focused | Verbose, needs filtering |
Transforms: $ARGUMENTS into structured execution:
- Intent: [implementation-goal-and-scope]
- Approach: [direct-implementation OR research-then-implement]
- Agents: [none OR minimal-viable-set]
Output Template
## Response
[Direct answer or action taken - 1-3 sentences addressing the core request]
## Details
[Main content based on command type:
- Plan: Strategy breakdown with phases
- Work: Code changes and implementation steps
- Explore: Research findings and analysis
- Review: Issues found and quality assessment]
## Next Actions
[What to do next:
- Plan: Implementation steps to begin
- Work: Testing and validation needed
- Explore: Areas for deeper investigation
- Review: Fixes and improvements to make]
## Notes
[Optional - context, warnings, alternatives, or additional considerations]
---
**User Request**: $ARGUMENTS
Read more
name: sc-work description: Build, fix, or modify code - handles all implementation tasks argument-hint: Description of what to build, fix, or modify
sc-work: Universal Implementation Command
**Purpose**: I need to build/fix/modify something - handles all implementation tasks from creating new features to fixing bugs to refactoring code
Agent Orchestration and Deployment Strategy
**Efficiency First:** Handle tasks directly when possible. Use agents only when genuinely needed for:
- Multi-step coordination requiring handoffs
- Specialized domain expertise beyond general capability
- Parallel work streams with interdependencies
- Complex analysis requiring multiple perspectives
- Operations that produce verbose intermediate output
**Direct Agent Rules (ALWAYS delegate these):**
- **Deep codebase analysis** → Use `sc-code-explorer`
- **Architecture design** → Use `sc-code-architect`
- **Code quality review** → Use `sc-code-reviewer`
**Available Agents:**
- `sc-code-explorer` - Deeply analyzes existing codebase features by tracing execution paths and mapping architecture
- `sc-code-architect` - Designs feature architectures by analyzing existing patterns and providing implementation blueprints
- `sc-code-reviewer` - Reviews code for bugs, security vulnerabilities, and adherence to project conventions
**Context Preservation:**
- **Keep only**: user request, actionable recommendations, code changes, summary, next steps
- **Discard**: intermediate outputs, full docs, verbose logs, exploratory reads
**Processing Pipeline**: Parse → Classify → Validate → Route → Execute → Synthesize
Intent Recognition and Semantic Transformation
This command interprets natural language requests that express the intent: "I need to build/fix/modify something" - implementation work including creating, modifying, fixing, refactoring, optimizing, or enhancing code.
**Command Execution:**
**Empty $ARGUMENTS**: Display usage suggestions → stop **Has content**: Parse intent → apply strategy → route execution
**Intent Processing:** Extract intent → Apply strategy matrix → Validate → Execute
**Strategy Matrix:**
| Condition | Direct Handling | Agent Required | | --------- | ------------------- | ------------------------------ | | Task Type | Simple, single-step | See "Direct Agent Rules" above | | Domain | Single, familiar | Multi-tech, unknown | | Context | Available locally | External research needed | | Output | Concise, focused | Verbose, needs filtering |
Transforms: $ARGUMENTS into structured execution:
- Intent: [implementation-goal-and-scope]
- Approach: [direct-implementation OR research-then-implement]
- Agents: [none OR minimal-viable-set]
Output Template
## Response [Direct answer or action taken - 1-3 sentences addressing the core request] ## Details [Main content based on command type: - Plan: Strategy breakdown with phases - Work: Code changes and implementation steps - Explore: Research findings and analysis - Review: Issues found and quality assessment] ## Next Actions [What to do next: - Plan: Implementation steps to begin - Work: Testing and validation needed - Explore: Areas for deeper investigation - Review: Fixes and improvements to make] ## Notes [Optional - context, warnings, alternatives, or additional considerations]
---
**User Request**: $ARGUMENTS
A practical minimalist AI assistant framework that transforms complex AI interactions into natural conversations. Comes with a set of user-commands, sub-agents, hooks, and utilities designed for real-world software development tasks.
Other commands on simpleclaude.
sc-plan
Strategic planning and analysis for requirements and roadmaps
sc-review
Verify code quality, security, performance, and architecture
sc-workflow
Guided feature development with codebase understanding and architecture focus
sc-adversarial-hunt
General-purpose adversarial analysis with competing finder, skeptic, and arbiter agents. Works on code, plans, docs, configs, or…
sc-answer
Re-elicit the questions from your last message via the AskUserQuestion tool

