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Claude Engineering Skills (Page 413 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 24721–24780 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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PostgreSQL's TOAST (The Oversized-Attribute Storage Technique) — out-of-line + compressed storage for large `varlena` values (text, bytea, jsonb, arrays, xml, tsvector).
OpenTofu infrastructure-as-code reference for HCL syntax, state management, module design, and provider configuration.
Together AI ci integration for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together ci integration".
Together AI common errors for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together common errors".
Together AI core workflow a for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together core workflow a".
Together AI core workflow b for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together core workflow b".
Together AI cost tuning for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together cost tuning".
Together AI debug bundle for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together debug bundle".
Together AI deploy integration for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together deploy integration".
Run inference with Together AI -- chat completions, streaming, and model selection. Use when testing open-source models, comparing model performance, or learning the Together AI…
Install Together AI SDK and configure API key for inference and fine-tuning. Use when setting up Together AI, configuring the OpenAI-compatible API, or initializing the together…
Together AI local dev loop for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together local dev loop".
Together AI performance tuning for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together performance tuning".
Together AI prod checklist for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together prod checklist".
Together AI rate limits for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together rate limits".
Together AI reference architecture for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API.
Together AI upgrade migration for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together upgrade migration".
Together AI webhooks events for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together webhooks events".
Design and govern a three-tier CSS custom property token system (primitive → semantic → component), including semantic alias layers, light/dark theming, and DTCG-compatible source…
Track, optimize, and control token consumption across multi-agent systems. Covers budget allocation, real-time monitoring, cost attribution, per-agent limits, and proactive cost…
Context window coach. Proactive guidance for token-efficient Claude Code projects, multi-agent systems, and skill architecture.
Token-2022 (Token Extensions) on Solana. Pick, combine and create mint and account extensions with the spl-token CLI, @solana/kit or Anchor, and integrate extension mints.
Audit and eliminate token waste from cognitive architecture memory files -- instructions, prompts, skills, and agents
Receive and verify Token.io webhooks. Use when setting up Token.io webhook handlers, debugging Ed25519 signature verification, subscribing to webhook config via PUT…
Reviews tokio async runtime usage for task management, sync primitives, channel patterns, and runtime configuration.
Debugging and troubleshooting Tokio applications using tokio-console, detecting deadlocks, memory leaks, and performance issues. Use when diagnosing async runtime problems.
Use when when you need to deploy a Java web application packaged in a Tomcat Docker container to a specified HTTP endpoint, and must verify that the container starts successfully,…
Game audio generation agent. Produces code (Python/JS/TS/Shell) for SFX, BGM, Voice, Ambient, and UI sounds using ElevenLabs/Stable Audio/MusicGen/Suno/OpenAI TTS/JSFXR.
Detect tool misuse and unexpected code execution via dialogue testing. Use when the agent exposes file, code-execution, or network tools.
Use when computing statutory or contractual interest on overdue payments, debt claims, or court-awarded sums across MENA and European jurisdictions.
Use when reasoning about the protocol-level cycle by which a language model uses external tools: the four phases (declaration, request, execution, continuation), the…
Connect any tool you use at work to your agent — including internal company tools, custom-built systems, deployment portals, incident trackers, internal knowledge bases, HR…
Build tools that agents can use effectively, including architectural reduction patterns. Use when creating new tools for agent systems, debugging tool-related failures or — from…
Design tools that agents can use effectively. Use when creating new tools for agents, debugging tool-related failures, or optimizing existing tool sets.
Design tools that agents can use effectively. Use when creating new tools for agents, debugging tool-related failures, or optimizing existing tool sets.
Automatically applies when creating AI tool functions. Ensures proper schema design, input validation, error handling, context access, and comprehensive testing.
Build tools that agents can use effectively, including architectural reduction patterns. Use when creating new tools for agent systems, debugging tool-related failures or — from…
Interactive Tool Inventory bootstrap. Use this when initializing a new project repo to configure the semantic tracking of Python/JS tools.
Optimize the description prompts an AI agent reads to learn its built-in tools (the `.md` files under prompts/tools/).
Build the right GTM tool stack for any stage — solo founder ($100/mo), small team ($500/mo), growth team ($2K/mo), and enterprise ($10K+/mo).
Panduan lengkap penggunaan library `browser-use` untuk mengotomasi browser web menggunakan AI agent. Mencakup instalasi, konfigurasi LLM, penggunaan Agent API, kustomisasi…
Design LLM tools with descriptions that steer, granularity that composes, and error returns the model can act on.
Propagate the last change in the Docker system for project_template to all the projects
Modern SwiftUI toolbar patterns including customizable toolbars, search integration, transition effects, and platform-specific behavior.
MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
Flask - Lightweight Python web framework for microservices, REST APIs, and flexible web applications with extensive extension ecosystem
The tooling detection system automatically identifies infrastructure and DevOps tooling usage in projects using multi-signal analysis.
Python audit tooling: ruff (linting), mypy (types), bandit (SAST), pip-audit (CVEs), radon (complexity), vulture (dead code), mutmut (mutations).
ToolJet is an open-source platform for internal tools, dashboards, workflows, and AI-assisted business apps.
Use when the user asks for any external action or data: email, payments, deployments, databases, repos, issues, files, web search, messaging, or any connected service.
Aide's skills, the per-project .aide/config keys, how a project's own test/lint/build commands are detected, and where specs are stored.
Perform comprehensive gene enrichment and pathway analysis using gseapy (ORA and GSEA), PANTHER, STRING, Reactome, and 40+ ToolUniverse tools.
Provide differential diagnosis for patients with suspected rare diseases based on phenotype and genetic data.
Create award-winning, immersive web experiences at the level of Awwwards-featured agencies. Use when the user mentions "premium website", "portfolio site", "scroll animat — from…
Top-down mobile game architecture — virtual joystick/tap-to-move/twin-stick touch movement, room transitions, fog of war, spawner patterns, wave systems, minimap.
Manage todo.txt tasks using topydo CLI. Add, list, complete, prioritize, tag, and organize tasks with dependencies, due dates, recurrence, and projects.
Torchscript Exporter - Auto-activating skill for ML Deployment. Triggers on: torchscript exporter, torchscript exporter Part of the ML Deployment skill category.
Provides expert guidance for navigating, implementing, and verifying V8 Torque (.tq) builtins. Use when modifying or debugging Torque files. Do not use for C++ macro builtins.
Use when the user asks to "create a tortoise model", "new tortoise project", "tortoise orm", "async orm", "aerich migration", "fastapi tortoise", "tortoise model abstract",…
Build Python applications using Tortoise ORM v1.x, the async Python ORM inspired by Django. Use when writing or modifying Tortoise Model definitions, queries, relations…
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