๐ŸงฐDeveloper Tools Skills

Browse the best Developer Tools skills for Claude Code, Codex, Cursor and other AI agents.

7,129 skills ยท Page 16 of 298

querying-json

iota9star's avatarfrom iota9starโ˜… 5

Extracts specific fields from JSON files efficiently using jq instead of reading entire files, saving 80-95% context. Use this skill when querying JSON files, filtering/transforming data, or getting specific field(s) from large JSON files

analyzing-code-structure

iota9star's avatarfrom iota9starโ˜… 5

Performs structural code search and refactoring by matching code structure instead of exact text. Use when editing code structure with text matching ambiguity, handling "old_string not unique" problems, or performing formatting-independent pattern matching across function signatures, method calls, and class structures

extracting-code-structure

iota9star's avatarfrom iota9starโ˜… 5

Extracts file structure (functions, classes, exports) efficiently without reading entire files, using ast-grep, Dart/Flutter analyzer, ctags, or other language-specific tools to get outlines and signatures. Use this skill when listing all methods, functions, or classes in a file, exploring unfamiliar code, getting API overviews, or deciding what to read selectively

sap-cap-capire

secondsky's avatarfrom secondskyโ˜… 5

SAP Cloud Application Programming Model (CAP) development skill using Capire documentation.Use when: building CAP applications, defining CDS models, implementing services, working withSAP HANA/SQLite/PostgreSQL databases, deploying to SAP BTP Cloud Foundry or Kyma, implementingFiori UIs, handling authorization, multitenancy, or messaging. Covers CDL/CQL/CSN syntax,Node.js and Java runtimes, event handlers, OData services, and CAP plugins.

ruby-workflow

ilude's avatarfrom iludeโ˜… 5

Ruby project workflow guidelines. Activate when working with Ruby files (.rb), Gemfile, bundler, or Ruby-specific tooling.

feature-implementation

ctdio's avatarfrom ctdioโ˜… 5

Execute feature plans from ~/.ai/plans using progressive disclosure and state tracking. This skill reads existing feature plans, tracks implementation progress in implementation_state.md, uses the Plan agent to explore plans and codebases, and systematically implements features phase by phase. Pairs with the feature-planning skill.

vercel-ai-sdk

existential-birds's avatarfrom existential-birdsโ˜… 5

Vercel AI SDK for building chat interfaces with streaming. Use when implementing useChat hook, handling tool calls, streaming responses, or building chat UI. Triggers on useChat, @ai-sdk/react, UIMessage, ChatStatus, streamText, toUIMessageStreamResponse, addToolOutput, onToolCall, sendMessage.

ai-elements

existential-birds's avatarfrom existential-birdsโ˜… 5

Vercel AI Elements for workflow UI components. Use when building chat interfaces, displaying tool execution, showing reasoning/thinking, or creating job queues. Triggers on ai-elements, Queue, Confirmation, Tool, Reasoning, Shimmer, Loader, Message, Conversation, PromptInput.

ai-models

majiayu000's avatarfrom majiayu000โ˜… 5

OpenAI APIใƒขใƒ‡ใƒซ้ธๅฎšใ€GPT-5/GPT-4.1ไฝฟใ„ๅˆ†ใ‘ใ€AIๆฉŸ่ƒฝๅฎŸ่ฃ…ใ€‚AIใƒขใƒ‡ใƒซใ€OpenAIใ€GPTใ€APIๅ‘ผใณๅ‡บใ—ใ€ใƒขใƒ‡ใƒซ้ธๆŠžๆ™‚ใซไฝฟ็”จใ€‚

regex-helper

majiayu000's avatarfrom majiayu000โ˜… 5

Generate, explain, and test regular expressions with examples and test cases. Use when creating regex patterns or understanding complex regular expressions.

github-operations

majiayu000's avatarfrom majiayu000โ˜… 5

Use when Codex must inspect or update GitHub resources (issues, PRs, workflows) through the official remote GitHub MCP server.

signalwire-agents-sdk

majiayu000's avatarfrom majiayu000โ˜… 5

Expert assistance for building SignalWire AI Agents in Python. Automatically activates when working with AgentBase, SWAIG functions, skills, SWML, voice configuration, DataMap, or any signalwire_agents code. Provides patterns, best practices, and complete working examples.

apex-spec-workflow

moshehbenavraham's avatarfrom moshehbenavrahamโ˜… 4

This skill should be used when the user asks about "spec system", "session workflow", "createprd", "nextsession", "sessionspec", "implement session", "validate session", "phase build", "session scope", "task checklist", or when working in a project containing .spec_system/ directory. Provides guidance for specification-driven AI development workflows.

python-opencv

JosiahSiegel's avatarfrom JosiahSiegelโ˜… 4

Complete OpenCV computer vision system for Python. PROACTIVELY activate for: (1) Image loading with cv2.imread (BGR format gotcha), (2) Video capture with cv2.VideoCapture, (3) Color space conversion (BGR to RGB, HSV, grayscale), (4) Image filtering (GaussianBlur, medianBlur, bilateralFilter), (5) Edge detection (Canny), (6) Contour detection with cv2.findContours, (7) Image resizing with interpolation methods, (8) Template matching, (9) Feature detection (SIFT, ORB, AKAZE), (10) Drawing functions (rectangle, circle, text), (11) Video writing with cv2.VideoWriter, (12) Morphological operations, (13) Deep learning with cv2.dnn module, (14) GPU acceleration with cv2.cuda, (15) Coordinate system (x,y vs row,col) gotchas. Provides: Image processing patterns, video capture/writing, memory management, performance optimization, Jupyter notebook workarounds. Ensures correct BGR handling and memory-safe OpenCV usage.

ffmpeg-opencv-integration

JosiahSiegel's avatarfrom JosiahSiegelโ˜… 4

Complete FFmpeg + OpenCV + Python integration guide for video processing pipelines. PROACTIVELY activate for: (1) FFmpeg to OpenCV frame handoff, (2) cv2.VideoCapture vs ffmpeg subprocess, (3) BGR/RGB color format conversion gotchas, (4) Frame dimension order img[y,x] vs img[x,y], (5) ffmpegcv GPU-accelerated video I/O, (6) VidGear multi-threaded streaming, (7) Decord batch video loading for ML, (8) PyAV frame-level processing, (9) Audio stream preservation with video filters, (10) Memory-efficient frame generators, (11) OpenCV + FFmpeg + Modal parallel processing, (12) Pipe frames between FFmpeg and OpenCV. Provides: Color format conversion patterns, coordinate system gotchas, library selection guide, memory management, subprocess pipe patterns, GPU-accelerated alternatives to cv2.VideoCapture. Ensures: Correct integration between FFmpeg and OpenCV without color/coordinate bugs. See also: ffmpeg-python-integration-reference for type-safe parameter mappings.

nextjs-modal-integration

JosiahSiegel's avatarfrom JosiahSiegelโ˜… 4

Modal.com integration patterns for Next.js applications. PROACTIVELY activate for: (1) Next.js + Modal backend setup, (2) AI inference from Next.js (LLMs, image generation), (3) Video/audio processing backends, (4) Heavy compute offloading from Vercel, (5) GPU workloads for Next.js apps, (6) Webhook integration between Next.js and Modal, (7) File upload processing, (8) Background job processing, (9) Serverless AI API endpoints, (10) Next.js + Modal authentication patterns. Provides: Architecture patterns, API route integration, webhook handling, file upload workflows, CORS configuration, warm container patterns, streaming responses, and production-ready examples.

dev-workflow

eduwxyz's avatarfrom eduwxyzโ˜… 4

Executa workflow completo de desenvolvimento (plan โ†’ implement โ†’ test โ†’ review). Use para implementar features ou corrigir bugs de forma estruturada e sequencial.

ffmpeg-hardware-acceleration

JosiahSiegel's avatarfrom JosiahSiegelโ˜… 4

Complete GPU-accelerated encoding/decoding system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) NVIDIA NVENC/NVDEC encoding, (2) Intel Quick Sync Video (QSV), (3) AMD AMF encoding, (4) Apple VideoToolbox, (5) Linux VAAPI setup, (6) Vulkan Video 8.0 (FFv1, AV1, VP9, ProRes RAW), (7) VVC/H.266 hardware decoding (VAAPI/QSV), (8) GPU pipeline optimization with pad_cuda, (9) Docker GPU containers, (10) Performance benchmarking. Provides: Platform-specific commands, preset comparisons, quality tuning, full GPU pipeline examples, Vulkan compute codecs, VVC decoding, troubleshooting guides. Ensures: Maximum encoding speed with optimal quality using GPU acceleration.

ffmpeg-streaming

JosiahSiegel's avatarfrom JosiahSiegelโ˜… 4

Complete live streaming and protocol system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) RTMP streaming to Twitch/YouTube/Facebook, (2) HLS output and adaptive bitrate (ABR), (3) DASH streaming setup, (4) Low-latency streaming (LL-HLS, LL-DASH), (5) SRT protocol configuration, (6) WebRTC/WHIP sub-second latency (FFmpeg 8.0+), (7) Protocol conversion (RTMP to HLS), (8) Multi-destination streaming, (9) nginx-rtmp integration, (10) Docker streaming services. Provides: Platform-specific stream commands, ABR ladder examples, encryption setup, latency optimization, WHIP authentication, production patterns. Ensures: Reliable live streaming with optimal quality and latency.

git-ops

TheSethRose's avatarfrom TheSethRoseโ˜… 4

Safe git operations including commits, branches, merges, worktrees, and conflict resolution. Use when user wants to commit and push changes, manage branches, resolve conflicts, or create isolated workspaces. Activates when user says "commit", "push", "merge", "branch", "pull", "rebase", "worktree", "conflict", or similar git workflow requests.

context7

petbrains's avatarfrom petbrainsโ˜… 4

Up-to-date library documentation retrieval using Context7 MCP tools. Process THINK โ†’ RESOLVE โ†’ FETCH โ†’ APPLY. Use when fetching library docs, resolving package names to IDs, getting implementation guides, exploring API references. Provides package resolution strategy, trust score evaluation, token scaling (3K-20K), topic selection patterns.

node-red

jwiegley's avatarfrom jwiegleyโ˜… 4

Edit, analyze, and create Node-RED flows by working with flows.json files, understanding node types, and applying Node-RED best practices. Use when the user mentions Node-RED, flows.json, flow development, or needs to modify Node-RED configurations.

devtools

sanand0's avatarfrom sanand0โ˜… 4

Use CDP at localhost:9222 to test/debug websites, automate browser tasks

start-working

andersnygaard's avatarfrom andersnygaardโ˜… 4

Autonomously execute ALL tasks from the backlog until complete. Runs in a continuous loop - picks task, implements via subagent, moves to done, repeats. No user prompts between tasks. Follows task-board workflow (backlog โ†’ in-progress โ†’ done).

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