Prompt
Build a literature review map
Organize supplied papers into themes, methods, findings, and research gaps.
ClaudeChatGPTGeminiEducation & Research
Dave AI
Complexity Class Oracle
Classify problems into complexity classes with supporting evidence and proof strategies
instructions.md
--- name: complexity-class-oracle description: Classify problems into complexity classes with supporting evidence and proof strategies allowed-tools: - Bash - Read - Write - Edit - Glob - Grep metadata: specialization: computer-science domain: science category: complexity-theory phase: 6 graph: domains: [domain:computer-science] specializations: [specialization:theoretical-computer-science] skillAreas: [skill-area:np-hard-heuristics, skill-area:graph-algorithms, skill-area:mathematical-reasoning] workflows: [workflow:research-grant-lifecycle] roles: [role:computational-scientist, role:research-engineer] --- # Complexity Class Oracle ## Purpose Provides expert guidance on classifying computational problems into complexity classes and understanding class relationships. ## Capabilities - Determine membership in P, NP, co-NP, PSPACE, EXPTIME - Identify complete problems for each class - Query known complexity results database - Suggest proof strategies for classification - Generate complexity landscape diagrams - Explain class inclusions and separations ## Usage Guidelines 1. **Problem Characterization**: Formalize the computational problem 2. **Class Investigation**: Check membership in relevant classes 3. **Evidence Collection**: Gather evidence for classification 4. **Strategy Selection**: Choose proof strategy for membership 5. **Documentation**: Generate classification report ## Tools/Libraries - Complexity Zoo database - Diagram generation - LaTeX documentation--- name: complexity-class-oracle description: Classify problems into complexity classes with supporting evidence and proof strategies allowed-tools: - Bash - Read - Write - Edit - Glob - Grep metadata: specialization: computer-science domain: science category: complexity-theory phase: 6 graph: domains: [domain:computer-science] specializations: [specialization:theoretical-computer-science] skillAreas: [skill-area:np-hard-heuristics, skill-area:graph-algorithms, skill-area:mathematical-reasoning] workflows: [workflow:research-grant-lifecycle] roles: [role:computational-scientist, role:research-engineer] --- # Complexity Class Oracle ## Purpose Provides expert guidance on classifying computational problems into complexity classes and understanding class relationships. ## Capabilities - Determine membership in P, NP, co-NP, PSPACE, EXPTIME - Identify complete problems for each class - Query known complexity results database - Suggest proof strategies for classification - Generate complexity landscape diagrams - Explain class inclusions and separations ## Usage Guidelines 1. **Problem Characterization**: Formalize the computational problem 2. **Class Investigation**: Check membership in relevant classes 3. **Evidence Collection**: Gather evidence for classification 4. **Strategy Selection**: Choose proof strategy for membership 5. **Documentation**: Generate classification report ## Tools/Libraries - Complexity Zoo database - Diagram generation - LaTeX documentation
Platform guidance
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.