Prompt
Specify a webhook-driven task for OpenClaw
Describe event inputs, validation, deduplication, and intended actions before integration work.
OpenClawDevelopment & Engineering
Dave AI
SymPy Computer Algebra
Symbolic computation using SymPy for Python-based mathematical analysis
instructions.md
--- name: sympy-computer-algebra-853ba83a3d50 description: Symbolic computation using SymPy for Python-based mathematical analysis allowed-tools: - Bash - Read - Write - Edit - Glob - Grep metadata: specialization: mathematics domain: science category: symbolic-computation phase: 6 graph: domains: [domain:mathematics] specializations: [specialization:computational-mathematics] skillAreas: [skill-area:mathematical-reasoning, skill-area:computational-geometry, skill-area:graph-algorithms] workflows: [workflow:experiment-design] roles: [role:computational-scientist, role:research-scientist] --- # SymPy Computer Algebra ## Purpose Provides symbolic computation capabilities using SymPy for Python-based mathematical analysis and manipulation. ## Capabilities - Symbolic differentiation and integration - Equation solving (algebraic, differential) - Series expansion and limits - Matrix algebra and linear algebra - Pattern matching and simplification - Code generation (NumPy, C, Fortran) ## Usage Guidelines 1. **Symbol Definition**: Define symbols with appropriate assumptions 2. **Expression Building**: Construct symbolic expressions 3. **Simplification**: Apply appropriate simplification strategies 4. **Code Generation**: Export to efficient numerical code ## Tools/Libraries - SymPy - NumPy - mpmath--- name: sympy-computer-algebra-853ba83a3d50 description: Symbolic computation using SymPy for Python-based mathematical analysis allowed-tools: - Bash - Read - Write - Edit - Glob - Grep metadata: specialization: mathematics domain: science category: symbolic-computation phase: 6 graph: domains: [domain:mathematics] specializations: [specialization:computational-mathematics] skillAreas: [skill-area:mathematical-reasoning, skill-area:computational-geometry, skill-area:graph-algorithms] workflows: [workflow:experiment-design] roles: [role:computational-scientist, role:research-scientist] --- # SymPy Computer Algebra ## Purpose Provides symbolic computation capabilities using SymPy for Python-based mathematical analysis and manipulation. ## Capabilities - Symbolic differentiation and integration - Equation solving (algebraic, differential) - Series expansion and limits - Matrix algebra and linear algebra - Pattern matching and simplification - Code generation (NumPy, C, Fortran) ## Usage Guidelines 1. **Symbol Definition**: Define symbols with appropriate assumptions 2. **Expression Building**: Construct symbolic expressions 3. **Simplification**: Apply appropriate simplification strategies 4. **Code Generation**: Export to efficient numerical code ## Tools/Libraries - SymPy - NumPy - mpmath
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.