Total 43,395 skills, Code Quality has 2024 skills
Showing 12 of 2024 skills
Debug experiment code with structured error analysis. Categorize errors, apply targeted fixes with retry logic, and use reflection to prevent recurring issues. Use when experiment code fails or produces incorrect results.
Apex code quality guardrails for Salesforce development. Enforces bulk-safety rules (no SOQL/DML in loops), sharing model requirements, CRUD/FLS security, SOQL injection prevention, PNB test coverage (Positive / Negative / Bulk), and modern Apex idioms. Use this skill when reviewing or generating Apex classes, trigger handlers, batch jobs, or test classes to catch governor limit risks, security gaps, and quality issues before deployment.
Run a full Dune app platform review against a React/TypeScript CDF codebase, following the cognitedata/dune-app-reviews scoring criteria. Produces three artifacts: review-files.md (per-file inventory), review-packages.md (dependency audit), and review-report.md (scored report with must/should/nice-fix items). Use when the user asks for a Dune app review, pre-submit review, approval review, app certification review, code quality audit, CDF platform review, or "run dune-review" on a codebase before submission.
Organize reusable programming patterns / library usages / technical skills that answer "To do this kind of thing, the correct approach is this" into a prescriptive reference library, which can be retrieved and reused as needed during feature-design and issue-analyze phases. Three types: pattern (design patterns, programming idioms), library (usage and pitfalls of a certain library/framework), technique (specific operation skills / command recipes). Trigger scenarios: When the user says "record a trick", "this usage is worth recording", "tricks", "record library usage", or when a skill worth archiving is discovered during feature-design / issue-analyze phases and actively pushed. Refer to `codestable/reference/system-overview.md` for how to distinguish it from learning / decisions / explore.
Phase 2 of the feature workflow —— Write code according to the implementation sequence in {slug}-design.md, and submit a completion report in a unified format for user review after finishing. Prerequisites: {slug}-design.md has been approved (standard design includes test design, or fastforward design includes acceptance criteria), and {slug}-checklist.yaml exists in the same directory. Trigger scenarios: User says "The plan is confirmed, start implementation", "Write code according to the plan", "Start working". If you encounter situations not covered by the plan during implementation (new concepts, out-of-scope files, need for patch branches), proactively stop and go back to discuss the plan instead of pushing forward blindly.
Follow this sub-process when fixing bugs — turn the verbal description of "problem found" into a closed loop from verification to repair, leaving three documents: problem report, root cause analysis, and repair record. This process adds a buffer between "seeing the problem" and "starting to modify code" to avoid common pitfalls: the problem description in your mind disappears after the fix, you only fix the surface without analyzing the root cause, the scope of repair expands and cannot be traced, and you don't know if the fix is correct without verification after modification. This skill only acts as a router, deciding which of report / analyze / fix to proceed with based on existing artifacts. For simple problems that can be identified at a glance, a fast track will be taken, skipping the two middle steps and only retaining the fix-note.
Map a codebase into feature-grouped flowcharts, identify duplicated concerns across features, and propose a unified architecture. Use when asked to "find the ideal path," unify duplicated systems, or audit architecture before a refactor. Emits a proposed unified flowchart plus per-system /make-plan prompts.
Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.
Safe Rust refactoring with LSP analysis. Triggers on: /refactor, rename symbol, move function, extract, 重构, 重命名, 提取函数, 安全重构
Improve code quality, reduce technical debt, restructure for maintainability
Implements user stories, writes clean tested code, follows best practices. Trigger keywords implement story, dev story, code, implement, build feature, fix bug, write tests, code review, refactor
Identify and debug performance regressions from code changes. Use comparison and profiling to locate what degraded performance and restore baseline metrics.