← ClaudeAtlas

decision-ladderlisted

Ponytail-inspired YAGNI enforcement — climb the decision ladder before writing any code. stdlib → regex → existing module → new code.
zedarvates/botte-secrete · ★ 1 · AI & Automation · score 68
Install: claude install-skill zedarvates/botte-secrete
# Decision Ladder Ponytail-inspired YAGNI enforcement for botte-secrete. Before writing ANY code, climb this ladder. Each rung that passes saves the cost of every rung above it. ## The Ladder 1. **stdlib** — Is this already in Python's standard library? (os, pathlib, json, re, ast, sqlite3, http, etc.) 2. **regex_oneliner** — Can a regex, string method, or one-liner do it? No function needed. 3. **existing_module** — Does an existing botte skill already handle this? Reuse > rebuild. 4. **new_code** — No simpler alternative exists. Write the minimal implementation. ## Usage ```python from skills.decision_ladder.ladder import climb, audit_task_list # Single task result = climb("extract function names from a Python file") # → LadderResult(rung="stdlib", solution="ast module (ast.parse/walk)", saved_lines=15) # Audit a task list report = audit_task_list([ "parse JSON config", "design auth middleware", "count word frequency in text", "strip HTML tags from string", "implement custom OR-Tools solver", ]) # → avoidable_pct: 80%, lines_saved: 85 ``` ## Integration Add to workflow-check as a pre-code hook. See `hook.py`. ## Metrics Tracks: - % of tasks that could be avoided (stdlib, regex, existing module) - Estimated lines saved per task - Confidence score per suggestion