comp-code
CommunityTurn a modeling report into runnable code.
Education & Research#python#code generation#data ingestion#constraint validation#json results#competition programming#math modeling
Authorlix965996-art
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill turns a competition modeling report into deterministic, verifiable programming implementations by enforcing algorithm/constraint/parameter consistency and producing structured JSON outputs for paper figures.
Core Features & Use Cases
- Modeling-to-Code Consistency Contract: Extracts and enforces the modeling report’s required algorithms, constraints, parameters, and validation checkpoints to prevent silent simplification.
- End-to-End Competition Workflow: Reads modeling inputs (MODELING_REPORT.md, PROBLEM_ANALYSIS.md, TOPIC_PLAN.md, user_data/), prepares the environment, validates data ingestion, implements each sub-problem, and aggregates outputs for figures.
- Mandatory Verification Guardrails: Performs automated sanity checks, constraint validation (validate_constraints), and rationale checks to ensure results are within the declared expected ranges and boundaries.
Quick Start
Use the comp-code Skill to implement and run competition code based on the attached modeling package containing MODELING_REPORT.md, PROBLEM_ANALYSIS.md, TOPIC_PLAN.md, and user_data/.
Dependency Matrix
Required Modules
None requiredComponents
references
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Please help me install this Skill: Name: comp-code Download link: https://github.com/lix965996-art/MMM/archive/main.zip#comp-code Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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