Turn development ideas into clear designs through guided discussion. The skill clarifies goals, requirements, and constraints, then adapts the process to a feasibility investigation, a small existing-code change, or a larger architectural design.
- Clarifying requirements before adding a feature
- Exploring whether an idea is feasible
- Comparing designs for a new project
spacering-net/codeg☆ 4KUpdated Oct 20, 2026
Find academic papers, retrieve publication details, and build BibTeX reference files for scholarly writing. Check identifiers, missing information, duplicate entries, and mismatches between manuscript citations and the bibliography, with tools for formatting and validation.
- Finding papers for a manuscript or thesis
- Converting paper identifiers into BibTeX entries
- Cleaning duplicate or incomplete references
spacering-net/codeg☆ 4KUpdated Oct 20, 2026
Assign independent bugs or test failures to separate agents that work at the same time. Define each agent’s scope and expected report, then check for conflicting changes and run the full test suite before integrating fixes.
- Investigating test failures with unrelated causes
- Fixing independent problems in separate subsystems
- Defining focused tasks for multiple agents
spacering-net/codeg☆ 4KUpdated Oct 20, 2026
Carry out a written implementation plan in a separate session, reviewing it before starting and tracking each task through verification. The workflow pauses for blockers and hands completed work to a development branch finishing process.
- Executing a written implementation plan
- Tracking task progress and verification
- Reviewing gaps before implementation
spacering-net/codeg☆ 4KUpdated Oct 20, 2026
Plan experiments before collecting data by choosing how to assign samples, combine conditions, and order runs. Generate reproducible allocation schedules and experimental layouts while checking for design flaws that could make results difficult to interpret.
- Assigning subjects or samples to comparison groups
- Screening many factors to identify promising ones
- Planning around batch, day, or plate-position differences
spacering-net/codeg☆ 4KUpdated Oct 20, 2026
Explore scientific data files to understand their structure, statistical patterns, and quality. References cover over 200 formats, with workflows for producing Markdown reports that summarize findings and recommend preprocessing, visualizations, and further analysis.
- Checking missing values and outliers in experimental tables
- Examining sequence lengths and quality scores in FASTQ files
- Inspecting microscopy image dimensions and metadata
spacering-net/codeg☆ 4KUpdated Oct 20, 2026