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sequential-plan
by arinbalyan
basically my .opencode config folder ( windows 11)
⭐ 1🍴 0📅 Jan 13, 2026
SKILL.md
name: sequential-plan description: Use sequential thinking MCP for comprehensive problem planning license: MIT compatibility: opencode metadata: workflow: planning priority: high
Sequential Planning
This skill guides using the sequentialthinking MCP for complex problem solving.
What I Do
- Break down complex problems
- Use sequential thinking for step-by-step analysis
- Generate hypotheses and verify them
- Create actionable plans
- Document the reasoning process
When To Use Me
Use this skill when:
- Tackling complex features
- Debugging difficult issues
- Making architectural decisions
- Planning refactoring work
- Analyzing system design
Sequential Thinking Process
Phase 1: Problem Definition
Thought 1: Define the problem clearly
- What is the actual requirement?
- What are the constraints?
- What's the expected outcome?
Phase 2: Analysis
Thoughts 2-4: Break down into components
- Identify sub-problems
- Find dependencies
- Assess complexity
Phase 3: Hypothesis
Thoughts 5-6: Generate solution hypotheses
- Propose approaches
- Consider alternatives
- Evaluate trade-offs
Phase 4: Verification
Thoughts 7-8: Verify and refine
- Check assumptions
- Validate approach
- Revise if needed
Phase 5: Plan
Final thoughts: Create actionable plan
- Step-by-step tasks
- Order of implementation
- Risk mitigation
Example Usage
// Using sequentialthinking MCP
await mcp.sequentialthinking({
thought: "Define: User wants authentication system",
thoughtNumber: 1,
totalThoughts: 8,
nextThoughtNeeded: true
})
await mcp.sequentialthinking({
thought: "Break down: Need login, register, JWT, password reset",
thoughtNumber: 2,
totalThoughts: 8,
nextThoughtNeeded: true
})
// Continue through all phases...
Tips
- Adjust totalThoughts based on complexity
- Use isRevision when backtracking
- Don't rush - thinking saves implementation time
- Document key decisions from the process
- Store important conclusions in memory MCP
Score
Total Score
40/100
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