1cFE
Official@1cfe · United States of America
Astera Institute initiative pursuing sub-$0.01/kWh fusion energy via open science
Agent Skills by 1cFE
Showing 10 vetted skills indexed across 1 GitHub repositories.
pdf-analysis
Convert PDF content into structured markdown using a 3-tier extraction pipeline.
requirements-tracking
Track and enforce two-tier modeling requirements across project workflows.
source-traceability
Link knowledge artifacts to requirements and model elements with source citations.
model-validation
Validate SysML models with a six-level blocking and non-blocking pyramid.
python-debugger
Set breakpoints and inspect runtime state in Python scripts.
epic-decomposition
Decompose large epics into standard sub-items for scoped planning.
project-structure
Organize SysML projects into knowledge, modeling_project, work, and data directories.
sysml-conventions
Enforce canonical SysML v2 syntax, naming, and doc-comment conventions.
record-learning
Record modeling session learnings into RAW_LEARNINGS.md with structured metadata.
toolkit-awareness
Ground tool queries in the project's installed toolkit and documented commands.
Frequently Asked Questions About 1cFE
FAQPage SchemaWhat specific engineering tasks does 1cFE enable?▼
1cFE enables rigorous SysML v2 model validation, structured PDF content extraction into markdown, and comprehensive requirements tracking. It facilitates the organization of project directories and ensures source traceability by linking knowledge artifacts to specific model elements and project requirements.
Which technical personas benefit from these capabilities?▼
Systems engineers, research scientists, and project managers working on complex hardware or energy initiatives benefit from these capabilities. The platform is designed for technical teams requiring strict adherence to modeling standards, documentation consistency, and clear traceability between research findings and project deliverables.
What are the prerequisites for implementing 1cFE project structures?▼
Implementation requires a project environment configured for SysML v2 syntax and a defined directory structure consisting of knowledge, modeling_project, work, and data folders. Users must maintain canonical naming conventions and utilize the provided metadata schemas for recording modeling session learnings and tracking requirements.