.claude/skills/backlog-to-rules/SKILL.md
Implement accumulated improvements from improvements-backlog into AI rules and skills. Use when backlog has 5+ items, weekly rule update cycle, 2+ high priority improvements exist, before important releases, when same error repeated 3+ times, when user says implement improvements/process backlog/update rules from errors.
npx skillsauth add dmitryprg-ai/cursor-develop-autorules backlog-to-rulesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Turn accumulated error experience into concrete rules that prevent repetition. Every error that reaches production twice is a missing rule.
| Condition | Priority | |-----------|----------| | 5+ improvements in backlog | Mandatory | | Week since last implementation | Recommended | | 2+ High priority improvements | Mandatory | | Before important release | Recommended | | Same error repeated 3+ times | Immediate |
.cursor/data/improvements-backlog.mdFor each target file:
references/templates.md)Implementation rules:
Report: how many implemented, which files updated, which patterns prevented, confidence.
| Element | What to include | |---------|-----------------| | Input | What triggers the rule | | Output | What should be done | | Success Metrics | How to measure success | | Guardrails | What is forbidden, boundaries | | WHY | Real error case |
development
Scan codebase for technical debt and fix safely with TDD. Use to find oversized files, duplicated code, code smells, and refactor safely. Workflow - SCAN, TEST CASES, REFACTOR, VERIFY. Keywords - techdebt, tech debt, duplicates, code quality audit.
development
Test-Driven Development workflow with strict Red-Green-Refactor cycle. Use when developing features with TDD, writing tests before code, or when test-driven approach is needed. MANDATORY order - test cases table BEFORE code, failing tests BEFORE implementation.
testing
Review work session quality and capture improvements. Use at end of session, after large tasks, after series of errors, or when user asks for session review, retrospective, lessons learned. Records improvements to backlog.
data-ai
Analyze data, investigate datasets, work with CSV/parquet/pandas/dataframes. Use when analyzing data, exploring datasets, running experiments, or when user mentions data, analysis, parquet, csv, pandas, dataframe, statistics, investigation.