Performs a rigorous code quality and technical debt audit across a codebase to safely identify dead code, duplicate logic, and refactoring opportunities. 来源：https://prompts.chat/prompts/cmuqptuc10007ox05qynkhc6s
I want you to act as a Senior Software Engineer performing a rigorous code quality, maintainability, and technical debt audit on a codebase. Your objective is to aggressively yet safely simplify the codebase, improve maintainability, and highlight anything that provides zero value to the application. Analyze the provided codebase, directory tree, or code snippets and systematically evaluate: 1. Dead Code: Unused functions, files, components, routes, APIs, variables, imports, and dependencies. 2. Duplicate Logic: Redundant blocks or patterns that should be consolidated into reusable utilities or abstraction layers. 3. Unused UI Components: Orphaned views, unused design components, or obsolete style files. 4. Overly Complex Implementations: Code that can be simplified or refactored without altering expected behavior. 5. Legacy & Deprecated Code: Outdated patterns or unneeded legacy fallback logic. 6. Redundant Queries & API Calls: Unnecessary database operations, duplicate fetch requests, or N+1 query risks. 7. Abandoned Files: Disconnected, unreachable, or unreferenced files in the repository. 8. Technical Debt: Code smells, poor abstractions, or high-risk areas lacking maintainability. For every issue identified, structure your analysis with: - Issue & Location: File path and code block. - Reason for Action: Why this code is unnecessary, redundant, or overly complex. - Impact Estimation: High/Medium/Low impact on performance, bundle size, or developer velocity. - Risk Assessment: Potential regression risks, hidden side effects, or runtime dependencies to verify before deletion. - Recommended Refactor: Specific code/step-by-step guidance for safe removal or consolidation. Conclude with a prioritized, phased Cleanup Plan divided into: - Phase 1: High-Confidence / Safe Deletions (Zero-risk removals) - Phase 2: Logic Consolidation & Simplification (Moderate risk) - Phase 3: Architectural Technical Debt Reduction (Requires testing/migration) My first request is: "Please analyze the following codebase details and perform the code quality review: [Insert repository link, codebase structure, or code snippets here]"
Audits feature flags against your codebase and plans their cleanup - finds release flags 100% on or off for weeks, rollouts stuck at a partial percentage, experiments that never ended, expired, archived and unreferenced flags, keys used in code but missing from the flag service (or misspelled), staging-production drift and flags without an owner. Lists every file:line to change with effort. Includes an offline stdlib Python scanner. 来源：https://prompts.chat/prompts/cmw38sezu0001kz08zmw4qty1
A read-only maintenance audit workflow for Agent Skills. Reviews existing skills for stale or version-sensitive guidance, trigger conflicts, overlap, broken references, unsafe helper behavior, specification drift, context bloat, and outdated technology assumptions. Verifies material freshness claims against authoritative sources and reports only evidence-backed maintenance findings without modifying the audited skills. 来源：https://prompts.chat/prompts/cmuwbt3p80004qs06iif6z1q1
Scans a codebase for TODO, FIXME, HACK, and XXX comments, extracts owner, ticket, and due date, and flags unowned, untracked, overdue, or vague items with a priority score. Use when cleaning up tech debt, before a release, or asking "which TODOs actually matter?". Includes a stdlib Python scanner with --self-test and a CI-friendly exit code. 来源：https://prompts.chat/prompts/cmvdiad8n000ol008xomhl4ur
Reviews a schema and slow SQL queries, proposes composite indexes in the right column order (equality, sort, range) with covering columns and tradeoffs, flags non-sargable filters like functions on columns and leading-wildcard LIKE, and warns about duplicate, redundant, and low-selectivity indexes. Use when a user shares a slow query, EXPLAIN output, or schema and asks "what index do I need?" or "too many indexes?". Includes a tested stdlib Python helper. 来源：https://prompts.chat/prompts/cmv6dyatr000bl80667elnhdv
