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| Name | Name | Last commit date | ||
|---|---|---|---|---|
Refactor any Claude Code skill by extracting deterministic operations into a Python script.
Every time a skill runs, the AI re-reads hundreds of lines of prose to re-derive mechanical operations: "does this file exist?", "run this regex", "copy with timestamp". This is wasteful. codify splits skills into two parts: code for mechanics, prompts for judgment.
curl -fsSL https://raw.githubusercontent.com/anombyte93/codify/main/install.sh | bashInstalls to ~/.claude/skills/codify/. Run the same command to upgrade.
# Check for updates
bash ~/.claude/skills/codify/install.sh --check-update/codify <skill-name>
Where <skill-name> is the directory name under ~/.claude/skills/.
Reads the skill's SKILL.md and classifies every block:
| Category | Goes to | Examples |
|---|---|---|
| Deterministic | script.py | File existence checks, regex validation, math, template loading, file copying, JSON parsing |
| Judgment | SKILL.md | User questions, decisions, content generation, quality assessment, continuation logic |
Creates a Python script with argparse subcommands. Every subcommand:
Replaces deterministic prose with script calls:
# Before (in SKILL.md)
Check if .taskmaster/ exists. If it does, look for PRD files
in .taskmaster/docs/. Read tasks.json to count tasks...
(~40 lines of detection logic)
# After (in SKILL.md)
python3 script.py preflight
# Returns JSON: has_taskmaster, prd_path, task_count, ...| Skill | SKILL.md Before | SKILL.md After | Reduction | script.py |
|---|---|---|---|---|
| prd-taskmaster | 1,342 lines | 302 lines | 77.5% | 1,079 lines (11 subcommands) |
| start | 637 lines | 204 lines | 68.0% | 320 lines (9 subcommands) |
script.py = AI's calculator and file manager (deterministic tools) SKILL.md = AI's playbook for user interaction and decisions (judgment)
The AI calls script.py like any other tool. Script returns structured JSON. AI interprets the results and makes decisions. Neither replaces the other.
MIT - see LICENSE
Built by Atlas AI
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