problem-solving
Universal sequential thinking patterns for complex problem analysis
Quellinformationen
- Repository
- jr2804/mcp-config-converter
- Letzte Quellaktivität
- 9. Januar 2026 um 00:36
- Erkannte Sprache von SKILL.md
- Englisch
- Sterne
- 4
- Forks
- 1
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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau- name
- problem-solving
- description
- Universal sequential thinking patterns for complex problem analysis
- license
- MIT
- compatibility
- opencode
- metadata
- {"related_knowledge_management":"For storing problem-solving insights, use skill `knowledge-management`","related_issue_tracking":"For tracking problem-solving tasks, use skill `issue-tracking`"}
# Problem Solving
## What I Do
Provide universal patterns for structured problem analysis and solution development that work across different domains and projects.
## Universal Problem-Solving Framework
### Sequential Thinking Process
```python
# Universal problem-solving workflow
from sequential_thinking import sequential_thinking
result = sequential_thinking(
thought="Analyze the problem from multiple angles",
nextThoughtNeeded=True,
thoughtNumber=1,
totalThoughts=5,
isRevision=False
)
```
### Universal Thought Patterns
**Analysis Patterns:**
- **Decomposition**: Break problems into smaller components
- **Abstraction**: Identify core principles independent of implementation
- **Analogy**: Find similar problems with known solutions
- **Verification**: Test hypotheses systematically
### Cross-Domain Examples
```python
# Universal problem analysis
thoughts = [
{
"thought": "Identify core requirements independent of technology",
"type": "abstraction"
},
{
"thought": "Break into UI, logic, and data components",
"type": "decomposition"
},
{
"thought": "Compare with similar authentication systems",
"type": "analogy"
}
]
```
## When to Use Me
Use this skill when:
- Analyzing complex, cross-domain problems
- Creating reusable solution patterns
- Standardizing problem-solving approaches
- Building organizational problem-solving frameworks
## Universal Integration
### Decision Documentation
```python
# Universal decision recording
store_memory(
type="decision",
title="Universal architecture choice",
content="Chose X over Y because of Z reasons",
tags=["architecture", "decision", "universal"],
relationships=["ADDRESSES:problem-123"]
)
```
### Pattern Extraction
```python
# Universal pattern extraction
if solution_is_reusable:
store_memory(
type="code_pattern",
title="Universal solution pattern",
content="Reusable code and explanation",
tags=["pattern", "universal", domain_tags]
)
```
## Best Practices
1. **Standardization**: Use consistent thought patterns across projects
1. **Documentation**: Record all major decisions and insights
1. **Reusability**: Extract patterns from specific solutions
1. **Collaboration**: Share problem-solving approaches across teams
## Compatibility
Works with:
- Any complex problem domain
- Cross-project knowledge systems
- Organizational learning frameworks
- Universal solution libraries
Auf GitHub ansehen