Let Claude Code inspect and control charts in your local TradingView Desktop app.
Project overview
tradingview-mcp bridges Claude Code or a terminal CLI to a local TradingView Desktop session through Chrome DevTools Protocol. It supports Pine Script iteration, symbol and timeframe navigation, indicator reading, chart drawing, alerts, replay practice, screenshots, and JSONL monitoring. A valid TradingView subscription is required, and the desktop app must be launched with its debugging port enabled. The project is an interface for personal, educational, and research workflows rather than an autonomous trading bot, and users remain responsible for complying with TradingView's terms.
Collection or directoryDesign and creative workClaude Code
stitch-skills
@google-labs-code·TypeScript
Generate and manage Google Stitch designs, then turn them into frontend components.
Project overview
Use compatible coding agents to create or edit Google Stitch screens, import existing frontend code into a design, manage design systems, and generate implementation assets. The collection includes workflows for React, React Native, and other build targets, but the design operations depend on the Stitch MCP server and selectively installed skills may require companion skills.
Collection or directoryDesign and creative workClaude Code
threejs-game-skills
@majidmanzarpour·Python
Build and verify playable Three.js games through one routed agent workflow.
Project overview
Describe the game you want and start with the director skill; it routes the work across gameplay, graphics, UI, audio, debugging, and release checks. The package includes a Vite and TypeScript scaffold, deterministic test hooks, a seeded random generator, and Playwright templates for browser, visual, and bot testing. Core game work runs without paid API keys, while optional external asset generation requires provider credentials.
Collection or directorySoftware developmentClaude Code
Agent-Skills
@MicrosoftDocs
Give coding agents task-focused guidance for Azure development.
Project overview
This collection turns Microsoft Learn guidance into on-demand skills for configuring, troubleshooting, and designing Azure workloads. It spans major service areas and offers role-based bundles, with plugin installation for several coding assistants and manual setup for others. Many skills still need network access to fetch the latest source documentation when used.
Collection or directoryMarketing, growth and salesClaude Code
opc-skills
@ReScienceLab·Python
Handle research, SEO, domains, and brand assets with skills for solopreneurs.
Project overview
Give a compatible AI agent repeatable workflows for solopreneur tasks such as SEO and GEO optimization, demand research across social platforms, domain comparison, and creating logos or banners. OPC Skills installs through the common skills CLI across Claude Code, Cursor, Codex, Gemini CLI, and other tools, so these workflows can stay inside an existing agent setup.
Find, install, use, and manage agent skills across many coding assistants.
Project overview
Use one CLI to find, install, update, or remove skills across Claude Code, Codex, Cursor, OpenCode, and many other agents. It can also generate a selected skill prompt or launch a supported agent without installing the skill into an agent directory. Sources can come from GitHub, GitLab, generic Git URLs, or local paths, with project or global installation; support for advanced fields still varies by agent.
Collection or directorySoftware developmentClaude Code
Xcode-Build-Optimization-Agent-Skill
@AvdLee·Python
Benchmark Xcode builds and identify compile hotspots, project settings, and package overhead.
Project overview
This skill set measures repeatable clean and incremental Xcode builds, then examines Swift compile hotspots, schemes, build settings, script phases, target dependencies, and Swift Package Manager costs. The orchestrator produces an optimization plan before touching project files. Approved changes can then be applied by a fixer skill and checked with another benchmark run.
Install a focused skill set for Vue, Vite, and Nuxt development.
Project overview
This collection combines Anthony Fu’s opinionated project and design conventions with skills generated from official Vue, Nuxt, Vite, Vitest, UnoCSS, pnpm, and related documentation. Vendored skills extend the set to adjacent tools, while git submodules help track upstream sources. It targets modern Vue/Vite work and remains a proof of concept that has not been fully tested in practice.
Agent harnessResearch and knowledgeModel Context Protocol
SurfSense
@MODSetter·Python
Feed agents live market data and turn findings into cited research briefs.
Project overview
SurfSense gives competitive-intelligence agents live connectors for social platforms, search, maps, and the open web through REST APIs or MCP. Scheduled and event-triggered agents can combine sources into cited briefs and alerts, then keep findings in a searchable knowledge base. The platform, including connectors, automations, and the MCP server, can be self-hosted with Docker, but the project states that it is still under active development and not yet production-ready.
Rules or configurationAI and agent developmentOpenClaw
one-skill-to-rule-them-all
@rebelytics
Turn real work corrections into ongoing skill improvements and new skills.
Project overview
Task Observer is a meta-skill that runs alongside normal work, capturing corrections, judgment calls, and repeated workflow gaps. It turns those observations into proposed updates for existing skills or drafts for new ones, so a skill library can evolve from actual use rather than remain frozen. The fullest experience is available in Claude environments with filesystem access, where logs and proposals persist between sessions; web and mobile use a handoff-document mode instead.
Research an industry and generate an installable domain-knowledge Agent Skill.
Project overview
master-skill researches a chosen niche across six tracks: leading practitioners, tool maps, workflows, canonical knowledge, information sources, and terminology standards. It then distills the material into a runnable Agent Skill with companion shell commands, source checks, claim tracing, quality gates, and installation tooling. Generated skills can be installed for Claude Code, OpenClaw, Codex, or Hermes. The repository describes a full research and generation run as taking roughly 30 to 60 minutes.
Inspect, discover, and manage agent skills from one terminal interface.
Project overview
LazySkills brings project, global, universal, and agent-specific skills into one terminal UI. It shows which coding agents can actually use each skill, flags broken installations or metadata, and previews commands before update, reinstall, removal, or bulk actions. It can also search skills.sh and inspect additional skills from local or GitHub sources.
Manage OpenCode coding sessions from desktop, web, PWA, or VS Code.
Project overview
OpenChamber is a visual interface for OpenCode that presents chats, diffs, files, terminals, tool progress, and Git or GitHub workflows across desktop, browser, PWA, and VS Code surfaces. It can run multiple agents in isolated worktrees, continue sessions from another device, and connect through tunnels or SSH to remote instances. The desktop package bundles a matching OpenCode CLI, while the web, CLI, and VS Code editions depend on an existing OpenCode installation.
Install, sync, and package coding-agent configurations across multiple tools.
Project overview
OpenPackage is a CLI package manager for coding-agent rules, commands, subagents, skills, and MCP configuration. It tracks sources and dependencies, installs or removes selected components, and translates files into the target layout used by different AI coding platforms. It is designed for developers and teams that want to reuse the same agent setup across projects and tools instead of maintaining each configuration manually.
Collection or directoryResearch and knowledgeClaude Code
research-skills
@luwill·Python
Create medical-imaging reviews, research proposals, and academic slide decks with verification.
Project overview
Research Skills packages Claude Code workflows for medical-imaging literature reviews, PhD proposals, stylized paper slides, and editable academic presentations. Its writing workflows require collecting and verifying sources before drafting, auditing citations, and completing submission checks, while scholar-slides needs an additional Python and Node toolchain.
Review and generate safer Kubernetes, Helm, and Kustomize configurations.
Project overview
KubeShark is a Kubernetes skill for Claude Code and Codex that targets common agent mistakes such as deprecated APIs, wildcard RBAC, missing resource limits, and mismatched selectors or ports. Its failure-mode-first workflow diagnoses risks before loading only the relevant references for Kubernetes, Helm, Kustomize, cloud platforms, security, or policy engines. Outputs include assumptions, tradeoffs, validation steps, and rollback notes. It guides coding work; it is not a cluster monitoring or runtime observability product.
Browse more than 23,000 agent skills for empirical social-science research.
Project overview
Auto-Empirical Research Skills curates more than 23,000 reusable skills across eight social-science disciplines, giving researchers and agents a large catalog of empirical methods and workflows. The repository also includes numeric benchmark tasks and behavioral evaluation scenarios intended to test reproducibility and methodological rigor.
Add progressively loaded Agent Skills to Pydantic AI applications.
Project overview
Attach skill directories to an agent and let it discover metadata first, then load full instructions, resources, or scripts only when needed. The package supports standard filesystem skills as well as skills created programmatically in Python, exposed through capability or toolset integrations. It also validates skill structure, accepts multiple source directories, and includes safeguards against path traversal.