Skill

step-workflow

This skill should be used when organizing work using step-based file naming and folder structure. Load this skill at the start of working on a new feature to establish sequential, numbered organization for all files (scripts, outputs, tests, documentation). The skill guides the use of numbered prefixes (01_, 02_, 03_) and sub-step notation (01_1_, 01_2_) to maintain clear workflow order and traceability.

npx claudepluginhub aeghnnsw/cc-toolkit --plugin dev-skills

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This skill uses the workspace's default tool permissions.

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Organize all work for a feature using step-based file naming with numbered prefixes. All files (scripts, outputs, tests, documentation) in the feature folder follow this convention.

SKILL.md

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Last CommitMar 23, 2026

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Step-Based Workflow Organization

Overview

Organize all work for a feature using step-based file naming with numbered prefixes. All files (scripts, outputs, tests, documentation) in the feature folder follow this convention.

File Naming Convention

Basic Pattern

<step_number>_<descriptive_name>.<extension>

Examples:

01_load_data.py
02_clean_data.py
03_analysis.ipynb
04_results.csv

Sub-Steps

When a step has multiple related files:

<step>_<substep>_<descriptive_name>.<extension>

Examples:

01_1_fetch_api.py
01_2_parse_response.py
02_1_clean_text.py
02_2_clean_numbers.py

Leading Zeros

Use leading zeros based on expected number of steps:

10-99 steps: 01, 02, ..., 99
100-999 steps: 001, 002, ..., 999

This ensures proper alphabetical sorting.

Workflow Rules

Keep everything in one folder - All files related to the feature stay in the feature folder
Number files sequentially - Based on execution/workflow order
Use underscores, not spaces - For file names
Always use TodoWrite tool - Track progress through numbered steps
Renumber when needed - When inserting or reordering steps

Todo List Integration

Each todo item corresponds to a numbered step:

1. [in_progress] Load data (01_load_data.py)
2. [pending] Clean data (02_clean_data.py)
3. [pending] Run analysis (03_analysis.py)

This makes progress tracking natural and clear.