Total 50,520 skills, Code Quality has 2287 skills
Showing 12 of 2287 skills
Analyze git diffs for risk scoring, reviewer recommendations, and change classification
Fix only small, high-certainty OpenClaw bugs from a pasted issue/PR list after deep code review.
Review code changes against accepted ADRs for compliance violations
Load when working with contents in *.mo files
Optional, modular cleanups and style improvements to apply on new mo:core projects (or after mo:core migration). Covers import ordering, unused import cleanup, and single‑expression return removal, with detection checks and automation recipes.
Use this skill when > Request a broader architectural perspective when navigating unfamiliar code sections. Maps all relevant modules, identifies caller relationships and dependencies, and uses domain-specific vocabulary. Use when encountering unfamiliar code or needing to understand how a component integrates with the larger system.
Audit a design proposal or diff against Exarchos's architectural invariants — event-sourcing integrity (INV-1), facade equivalence over shared dispatch core (INV-2), basileus-forward (INV-3), platform-agnosticity (INV-4), and agent-first interface design (INV-5a input ergonomics, INV-5b spec-aligned output contract, INV-5c Aspire-inspired control-plane verbs, INV-5d action discriminator pattern). Pairs with /axiom:backend-quality — this skill is project-specific (axiom is generic). Triggers: 'check invariants', 'design conformance', 'check #1118 / #1109', or /design-invariants.
Use when writing, fixing, or editing TypeScript modules, classes, file structure, declaration order, vertical formatting, dependency direction, cohesion, coupling, dependency construction, temporal coupling, public exports, wiring, or over-abstraction.
Use when writing, fixing, or editing TypeScript async flows, promises, retries, timeouts, cancellation, shared mutable state across awaits, race conditions, or flaky async tests.
Engineering-discipline toolkit for non-technical users working with AI coders. Wields KISS, DRY, YAGNI, fail-fast, and idempotency as commands. Use when the user asks to audit, simplify, clean up, dedupe, or harden code; or says "make this simpler", "any duplicates?", "is this safe to run twice", "explain this app", "find dead code", "simplify the plan", or "find silent failures".
Use when about to submit work, before committing or pushing, to run verification commands and confirm the work actually passes before claiming completion
Use when improving performance, latency, throughput, memory usage, or general efficiency. Start by defining target metrics, measuring comprehensively, attributing bottlenecks, validating with static analysis, and prioritizing macro-optimizations before micro-optimizations.