Does it support High-Performance Computing (HPC) environments?

Yes, it considers Linux-based HPC and cloud infrastructure context when prioritizing actions and auditing technical roadmaps.

Which files does this skill monitor?

It primarily focuses on files in the planning-docs/ directory, cross-referencing them with source code (src/), tests (test/), and documentation (docs/).

Can this skill be used for onboarding new contributors?

Yes, onboarding and tutorial clarity are among the skill's specific priorities when auditing project documentation.

What is the Mycelia planning-scope skill?

It is a specialized capability for Claude Code that provides domain-specific guidance for auditing and verifying planning documents within the Mycelia repository.

How does it help with scientific validity?

The skill includes a cross-verification checklist that ensures documented claims match function signatures and that benchmark results are backed by data.

Mycelia Planning Scope

Name: Mycelia Planning Scope
Author: cjprybol

bycjprybol

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数据科学与机器学习

Standardizes the auditing of planning documents for the Mycelia multiomics platform by cross-referencing source code, tests, and infrastructure.

关于

The planning-scope skill provides a specialized framework for Claude to audit and verify development documents within the Mycelia repository. It establishes a comprehensive scope encompassing Julia source code, staged test directories, and HPC infrastructure, ensuring that development roadmaps, API designs, and benchmarks are accurately reflected in the codebase. By prioritizing scientific correctness and scalability, it assists researchers and developers in maintaining high-quality standards for complex multiomic analysis and biological characterization projects.

主要功能

6 GitHub stars
Verification of API design claims against actual function signatures
Prioritization of scientific correctness and algorithm efficiency
Integration of HPC and cloud infrastructure context into project audits
Automated cross-referencing between planning docs and Julia source code
Validation of test coverage plans against staged test directories

使用场景

Validating benchmarking claims against results stored in the benchmarking directory
Auditing a new feature proposal to ensure all necessary modules and tests are accounted for
Verifying that release roadmaps align with current development triage and status

关于

主要功能

6 GitHub stars
Verification of API design claims against actual function signatures
Prioritization of scientific correctness and algorithm efficiency
Integration of HPC and cloud infrastructure context into project audits
Automated cross-referencing between planning docs and Julia source code
Validation of test coverage plans against staged test directories

使用场景

Validating benchmarking claims against results stored in the benchmarking directory
Auditing a new feature proposal to ensure all necessary modules and tests are accounted for
Verifying that release roadmaps align with current development triage and status