PROACTIVELY load when implementing a new numerical method, building a verification-grade reference solver, or reviewing whether a derivation→code pipeline meets project discipline. Codifies the SymPy-as-canonical-algebra pattern: derivations bifurcate at a specialized form into Branch 1 (continuous reference: SymPy, SymPy+mpmath, or MMS) and Branch 2 (discretized production: numpy/scipy). Branch 2 is verified at L1 by cross-check against Branch 1. Sphinx narrates both, with the SymPy module as the canonical algebra-of-record. Read by sub-agents that build, document, or verify reference solvers (method-implementer, archivist, test-architect) and by the main agent when orchestrating that pipeline. Examples: "Where should the SymPy module go", "When do I bifurcate the derivation", "Branch 1 and Branch 2 disagree at L1 — what now", "Why does my SymPy derivation hang on multi-group", "What goes in the Sphinx stub vs the rich narrative".
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryContent & writingStars0
About this skill
PROACTIVELY load when implementing a new numerical method, building a verification-grade reference solver, or reviewing whether a derivation→code pipeline meets project discipline. Codifies the SymPy-as-canonical-algebra pattern: derivations bifurcate at a specialized form into Branch 1 (continuous reference: SymPy, SymPy+mpmath, or MMS) and Branch 2 (discretized production: numpy/scipy). Branch 2 is verified at L1 by cross-check against Branch 1. Sphinx narrates both, with the SymPy module as the canonical algebra-of-record. Read by sub-agents that build, document, or verify reference solvers (method-implementer, archivist, test-architect) and by the main agent when orchestrating that pipeline. Examples: "Where should the SymPy module go", "When do I bifurcate the derivation", "Branch 1 and Branch 2 disagree at L1 — what now", "Why does my SymPy derivation hang on multi-group", "What goes in the Sphinx stub vs the rich narrative".
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PROACTIVELY load when implementing a new numerical method, building a verification-grade reference solver, or reviewing whether a derivation→code pipeline meets project discipline. Codifies the SymPy-as-canonical-algebra pattern: derivations bifurcate at a specialized form into Branch 1 (continuous reference: SymPy, SymPy+mpmath, or MMS) and Branch 2 (discretized production: numpy/scipy). Branch 2 is verified at L1 by cross-check against Branch 1. Sphinx narrates both, with the SymPy module as the canonical algebra-of-record. Read by sub-agents that build, document, or verify reference solvers (method-implementer, archivist, test-architect) and by the main agent when orchestrating that pipeline. Examples: "Where should the SymPy module go", "When do I bifurcate the derivation", "Branch 1 and Branch 2 disagree at L1 — what now", "Why does my SymPy derivation hang on multi-group", "What goes in the Sphinx stub vs the rich narrative".
About this listing
Category
Content & writing
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.