/sc-plan
Strategic planning and analysis for requirements and roadmaps
> /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-plan
Context preview
What this command does when you run it.
Strategic planning and analysis for requirements and roadmaps
Command definition
sc-plan.mdname: sc-plan
description: Strategic planning and analysis for requirements and roadmaps
argument-hint: Planning task or requirement to analyze
sc-plan: Strategic Planning and Analysis
**Purpose**: I need to think through something - analyzes requirements, creates actionable roadmaps, and establishes clear direction for development work
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`
**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 → Prior Work Context → Classify → Validate → Route → Execute → Synthesize
Prior Work Context (Optional)
Before planning, check if the `.agent-history/` directory exists in the project root:
- **If present and relevant**: Read it and incorporate direct references with absolute paths into your plan. Note any conflicted areas where human judgment is needed.
- **If it does not exist**: Proceed normally. Do not block planning on prior-work context.
Prior work context is supplementary — it improves plan quality but is never required.
Intent Recognition and Semantic Transformation
This command interprets natural language requests that express the intent: "I need to think through something" - planning, analysis, strategy, roadmap creation, or architectural decision-making.
**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: $AGENTS into structured execution:
- Intent: [recognized-user-intent]
- Approach: [direct/agent with reasoning]
- 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-plan description: Strategic planning and analysis for requirements and roadmaps argument-hint: Planning task or requirement to analyze
sc-plan: Strategic Planning and Analysis
**Purpose**: I need to think through something - analyzes requirements, creates actionable roadmaps, and establishes clear direction for development work
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`
**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 → Prior Work Context → Classify → Validate → Route → Execute → Synthesize
Prior Work Context (Optional)
Before planning, check if the `.agent-history/` directory exists in the project root:
- **If present and relevant**: Read it and incorporate direct references with absolute paths into your plan. Note any conflicted areas where human judgment is needed.
- **If it does not exist**: Proceed normally. Do not block planning on prior-work context.
Prior work context is supplementary — it improves plan quality but is never required.
Intent Recognition and Semantic Transformation
This command interprets natural language requests that express the intent: "I need to think through something" - planning, analysis, strategy, roadmap creation, or architectural decision-making.
**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: $AGENTS into structured execution:
- Intent: [recognized-user-intent]
- Approach: [direct/agent with reasoning]
- 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.
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sc-workflow
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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

