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Claude Engineering Skills (Page 371 of 488)

Code review, refactoring, testing, DevOps, CI/CD, databases, cloud platforms, and full-stack development skills for Claude Code.

29,262 skills · updated 2026-10-25 · showing 22201–22260 of 29,262 by quality score

Sub-topics:Testing (4,356)Devops (3,948)Architecture (3,203)Backend (2,624)Frontend (1,764)Languages (1,535)Code Quality (1,513)Cloud Platforms (1,362)

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Visual regression testing through screenshot capture and comparison. Pixel-diff analysis, responsive screenshot capture across viewports, and visual change reporting with…
When the user wants to design, optimize, or evaluate App Store screenshots and preview videos. Also use when the user mentions "screenshots", "app preview", "product page design",…
Capture a screenshot of a web page as a PNG. Use when you need a visual snapshot of a rendered page, including pages that require JavaScript or regional routing.
Integrating screenshot-based visual testing into CI pipelines with baseline management, review workflows, and cross-platform rendering comparison.
Automated screenshot comparison testing with configurable thresholds, anti-aliasing tolerance, and responsive viewport visual validation.
Write README, API, architecture, operator, and developer documentation from verified repository and engineering evidence.
Automatisation par scripts (PowerShell, Python, Bash) pour tâches répétitives — cron jobs, batch processing et orchestration.
Blender-Python-Skripte fuer prozedurale Modellierung, Animation, Stapeloperationen und Add-on-Entwicklung mit fortgeschrittenen bpy-API-Mustern schreiben.
Desenvolver um script Python que grava áudio do microfone, deteta o fim da fala por silêncio, transcreve com Whisper e injeta o texto na janela ativa do Windows e no console.
TDD pipeline for vallorcine scripts (bash/python/node)
Comprehensive diagnostic of the script infrastructure — 18 categories across 5 domains with composite health scoring, trend tracking, patch suggestions, and interactive…
Automate repeatable Hopper analysis with its installed Python SDK or extension APIs. Use for deterministic queries, controlled annotations, structured exports, or a scriptable…
Autonomous fix-verify workflow for Script Kit GPUI. Use when fixing bugs, making changes, or completing tasks.
Script Kit GPUI codebase architecture. Use when navigating the codebase, understanding module structure, or tracing data flow.
ScriptDrop Docker troubleshooting, database setup, port reference, and dev server debugging. Use when development containers have OOM kills, the dev server won't start, CSS/JS…
Python for Rhino and Grasshopper (RhinoCommon, rhinoscriptsyntax, ghpythonlib), C# for Grasshopper components, Python for Revit (pyRevit, RevitPythonShell), JavaScript for web 3D…
review, design, scaffold, refactor, and troubleshoot scss and sass based styling systems. use when the user asks for scss architecture, variables and tokens, mixins, nesting,…
SCSS and CSS architecture standards. Apply when working with CSS, SCSS, styling architecture, component styles, tokens, or compiled stylesheet organization.
Survey an existing (brownfield) codebase at SDLC step 3 — BEFORE implement — so the implementation is idiom-faithful, not foreign.
从 SD 内置 30 个 PBR 材质逆向分析的材质配方库。包含 7 个类别配方 + 3 个通用功能配方, 涵盖混凝土/金属/瓷砖/砖墙/布料/木材/有机物的节点图结构、管线设计和制作逻辑。 Use when AI needs to: (1) choose appropriate nodes for a material type, (2)…
The test-planning craft skill (software-delivery SDLC step 5). Run it AFTER front-authorization has frozen an atom''s ACs and BEFORE implementation, to derive a per-AC test plan —…
The disciplined test-recipe gate the generic agent runs for the software-delivery TEST step (/foundry:sd-test, step 8).
Systematic debugging skill for root-cause/fix of concrete bugs and failing tests. Use for debug, investigate, resolve, fix, root-cause, wrong behavior, flaky/CI/prod-only failure,…
Create technical design with architecture decisions, data flow, and file changes.
Guide AI agents through Specification-Driven Development (SDD) + Test-Driven Development (TDD) integrated workflow.
Implementation specialist for code quality, testing, and correctness. Use proactively for code review, implementation, fixing issues, and any coding tasks.
Creates end-to-end tests, evaluates test coverage, identifies testing gaps, and builds test automation infrastructure.
Comprehensive SDET interview preparation covering coding challenges, system design for testing, automation framework design, CI/CD pipeline questions, testing strategy…
Build against the memories.sh SDK packages in application code. Use when working with `@memories.sh/core` or `@memories.sh/ai-sdk`, including: (1) Initializing `MemoriesC — from…
Generate, repair, and validate SDL v1.1 YAML from requirements, architecture notes, repo summaries, or diagrams.
Use to record ADRs covering choices, tradeoffs, alternatives, consequences, status, and links to requirements/design evidence.
Draft or update design documents based on approved specification. Use when translating requirements into technical specifications.
Orchestrates 6-phase SDLC pipeline (discovery, requirements, architecture, workstreams, implementation, summary) for guided feature development.
The Implement phase — build test-first (red → green → refactor) and execute the plan step by step, verifying each. Use during Implement, or when the user runs /sdlc-implement.
The team coordination ledger — set it up, read it, leave a note, or hand work off, all through the plugin instead of raw python paths.
Use to design modular monolith boundaries, module layout, dependency rules, shared/platform seams, and extraction triggers.
AUTO-INVOKE when user mentions SDLC, requirements, architecture, ADR, use case, user story, test plan, phase gate, inception, elaboration, construction, transition, intake,…
The Review phase — a thorough code-quality review: a quantitative KPI pass, then a qualitative scan (dead code, duplication, DRY, consistency, async correctness, project-rule…
Analyze documentation gaps, create Architecture Decision Records (ADRs), and build knowledge indexes.
Implements minimal code to make failing tests pass (Green phase of Red-Green-Refactor). Use when the user explicitly asks to make tests pass, implement to green, or apply…
Encrypt Kubernetes Secret manifests against a Sealed Secrets controller so agents can commit cluster-targeted secrets to Git without exposing plaintext.
Seals a Kubernetes Secret with kubeseal for this cluster. Use when creating a SealedSecret, repo-creds, TSIG, MinIO keys, or step-issuer password.
Validation and testing autonomous agent (operator-invokable sealed-network evaluation).
Build, adapt, and document apps that run inside Sealos Desktop using the Sealos app SDK. Use when creating a new Sealos app, integrating an existing web app into Sealos Desktop,…
Run a local read-only HTML topology UI for a project already deployed by Sealos Skills and return a localhost URL.
Provision, connect, and operate Sealos Cloud databases through sealos-cli for local development, Devbox development, and app setup.
Deploy any GitHub project to Sealos Cloud in one command. Assesses readiness, generates Dockerfile, builds image, creates Sealos template, and deploys — fully automated.
Advise on SeaORM and Seaography development questions based STRICTLY on official docs and GitHub issues.
Use when you need to inspect or operate the SEAR deployment through the installed sear CLI, including doctor, overview, benchmarks, sitemap, and read-only raw GET requests.
Assess search API query latency, RBAC load, and response time degradation when policies are deployed, clusters are added, or API server experiences load.
Before debugging any new bug, error, or unexpected behavior, search CogmemAi for an existing fix from this or any prior session.
Unified search aggregator for Google, Wikipedia, Reddit, NewsAPI, and RSS feeds with optional Redis caching. Supports parallel querying and structured JSON output.
Find code symbols, patterns, implementations, and files using LCI semantic search. 以LCI語義搜索查找符號、模式、實現、文件。 Use when: finding function/class/type definitions, searching symbol…
Search across company knowledge bases (Confluence, Jira, internal docs) to find and explain internal concepts, processes, and technical details.
Expert guide for full-text search engines (Typesense, Meilisearch, Elasticsearch), faceted search, and autocomplete / Panduan ahli mesin pencarian full-text (Typesense,…
Search implementation patterns: full-text search with Postgres tsvector, Typesense for production search, Elasticsearch for complex analytics, faceted search, autocomplete, typo…
Search feature testing including relevance scoring, autocomplete, typo tolerance, faceted search, pagination, and search analytics verification.
TILリポジトリ{{ if .tilNotionEnabled }}とNotionのDB_TIL{{ end }}を検索・一覧表示する。例: /search-til docker
Knowledge base synthesized from the Guide to the Systems Engineering Body of Knowledge (SEBoK) v2.14 by the BKCASE Project.
Downloads and parses SEC EDGAR filings (10-K, 10-Q, 8-K) using the EDGAR full-text search API and python-xbrl.
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