Claude Skills by thedixitjain

Aktivieren Sie diese Fertigkeit, wenn ein Lernender: - Einen Agenten vollständig lokal aus Datenschutz-, Kosten- oder Offline-Gründen ausführen möchte. - Ein Modell lokal mit Foundry Local bereitstellen und über den OpenAI-kompatiblen Endpunkt verbinden möchte. - Ein Qwen-Funktionsaufruf-Modell verwenden möchte, um zuverlässige lokale Werkzeugaufrufe zu steuern. - Lokales RAG (Chroma) oder einen lokalen MCP-Server hinzufügen möchte.

Ενεργοποιήστε αυτή τη δεξιότητα όταν ένας μαθητευόμενος θέλει να: - Εκτελέσει έναν πράκτορα αποκλειστικά στη συσκευή για λόγους απορρήτου, κόστους ή εκτός σύνδεσης. - Παρέχει ένα μοντέλο τοπικά με Foundry Local και να συνδεθεί μέσω του endpoint συμβατού με OpenAI. - Χρησιμοποιήσει ένα μοντέλο Qwen με κλήση συναρτήσεων για αξιόπιστες κλήσεις τοπικών εργαλείων. - Προσθέσει τοπικό RAG (Chroma) ή έναν τοπικό MCP server.

'Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the privacy/cost/offline trade-offs. Based on Lesson 17 of AI Agents for Beginners. USE FOR: run an agent locally, offline agent, on-device agent, Foundry Local, Qwen function calling, loc...

Activa esta habilidad cuando un aprendiz quiera: - Ejecutar un agente totalmente en el dispositivo por razones de privacidad, costo o funcionamiento sin conexión. - Servir un modelo localmente con Foundry Local y conectarse mediante el endpoint compatible con OpenAI. - Usar un modelo Qwen con llamadas a funciones para realizar llamadas confiables a herramientas locales. - Agregar RAG local (Chroma) o un servidor MCP local.

Aktiveeri see oskus, kui õppija soovib: - Käivitada agent täielikult seadmes privaatsuse, kulu või võrguühenduseta tööks. - Teenindada mudelit lokaalselt Foundry Localiga ja ühenduda OpenAI-ühilduva lõpp-punkti kaudu. - Kasutada Qweni funktsioonikutsumise mudelit usaldusväärsete kohalike tööriistakutsete jaoks. - Lisada kohalik RAG (Chroma) või kohalik MCP server. - Kujundada hübriidne lokaalse/pilve marsruutimise strateegia.

این مهارت را وقتی فعال کنید که یادگیرنده بخواهد: - یک عامل را به‌طور کامل روی دستگاه برای حفظ حریم خصوصی، هزینه یا به دلایل آفلاین اجرا کند. - مدلی را به‌صورت محلی با Foundry Local ارائه دهد و از طریق نقطه پایانی سازگار با OpenAI متصل شود. - از یک مدل فراخوانی توابع Qwen برای اجرای مطمئن تماس‌های ابزار محلی استفاده کند. - RAG محلی (Chroma) یا سرور MCP محلی اضافه کند. - یک استراتژی مسیریابی ترکیبی محلی/ابری طراحی کند.

قم بتنشيط هذه المهارة عندما يريد المتعلم: - تشغيل وكيل كاملًا على الجهاز لأسباب تتعلق بالخصوصية، أو التكلفة، أو عدم الاتصال بالإنترنت. - تقديم نموذج محلي باستخدام Foundry Local والاتصال عبر نقطة نهاية متوافقة مع OpenAI. - استخدام نموذج Qwen للاستدعاء الوظيفي لتحفيز استدعاءات موثوقة للأدوات محليًا. - إضافة RAG محلي (Chroma) أو خادم MCP محلي. - تصميم استراتيجية توجيه هجينة محلية/سحابية.

>- Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the privacy/cost/offline trade-offs. Based on Lesson 17 of AI Agents for Beginners. USE FOR: run an agent locally, offline agent, on-device agent, Foundry Local, Qwen function calling, l...

AI-powered Claude Code skill that performs deep code review using formal logic and reasoning frameworks to detect bugs, anti-patterns, and security risks beyond what linters catch.

Version 2.35.0 | PRD to Production | Zero Human Intervention > Research-enhanced: OpenAI SDK, DeepMind, Anthropic, AWS Bedrock, Agent SDK, HN Production (2025)

This skill should be used when writing, enhancing, or evaluating the launch prompt for a long-running autonomous agent or a parallel multi-agent orchestration attacking a hard problem: pseudo-formal task briefs that define terms and an exact success predicate linguistically, enumerate non-counting outcomes, set persistence rules with explicit stop and return conditions and effort floors, manage a diverse portfolio of parallel approaches with an approach registry and blocked-route bookkeeping,...

Use when a task is multi-step, may span context resets or sessions, uses subagents, or risks losing state before completion.

125+ agent skills for Longbridge Securities — real-time quotes, charts, fundamentals, portfolio analysis, options, and more for HK/US/A-share/SG markets. Trilingual: Simplified Chinese, Traditional Chinese, English.

Start an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for scheduling. Use when the user runs /ar:loop or asks to run an autoresearch experiment continuously on a schedule.

Design a goal-oriented agent loop, and review it for the ways loops go wrong — spinning and burning tokens, Goodhart-gaming the verifier, or running a wrong answer to completion. Two actions: (1) WRITE a loop — gate whether to build it, define a machine-decidable goal, pick the loop type, pick a skeleton; (2) REVIEW a loop — run it past five failure modes plus decidability, boundaries, fallback, judge independence, and keep-judgment-with-the-human red lines. Use when designing an autonomous a...

Discover, find, compare, audit, repair, adapt, and design repeatable AI-agent loops with explicit triggers, actions, verification, stopping conditions, guardrails, and handoffs. Use when a user asks to analyze a codebase for potential loops, mine coding-thread history for work done more than once, turn repeated engineering work into a loop, find or recommend a published loop, create a recurring agent workflow or automation cadence, turn an outcome into a bounded copy-ready loop, or review an ...

Find, compare, adapt, and design bounded AI-agent feedback loops with explicit checks, stop rules, guardrails, and handoffs.

Run Ruflo background workers using Claude Code native /loop scheduling

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Discover, find, compare, audit, repair, adapt, craft, run, debrief, and prepare repeatable AI-agent loops for publication. Use when a user asks to analyze code or coding threads for recurring work, find a published loop, interview them to turn a goal into a bounded loop, review a loop...

Configure a Language Server (LSP) for a specific language so editor/agent tooling — diagnostics, go-to-definition, find-references, rename — works. Use when you need to: configure LSP, lsp setup, set up or install a language server, fix 'no LSP server configured' / 'server not installed', choose between servers (basedpyright vs pyright vs ty vs ruff), or wire .codex/lsp-client.json / .opencode/lsp.json. 언어서버 설정. Routes by file extension to references/<language>/README.md for the exact builtin...

Use when Codex needs language-server diagnostics, definitions, references, symbols, or rename safety checks in the current workspace.

Instrumentation plan — design event taxonomy, property schema, and tracking plan for analytics tools. Use when asked to \"what should we track\", \"instrumentation plan\", \"set up analytics events\", \"analytics event schema\", \"tracking plan\", or \"instrument this feature\".

Analytics reconnaissance — scan existing event tracking, metric definitions, dashboards, and analytics configuration to understand what is currently being measured. Use when asked to \"what are we tracking\", \"audit our analytics\", \"what metrics exist\", \"analytics inventory\", or before designing new metrics or instrumentation.

Reviews code for objective correctness, security, and reliability.

> Use this skill when a user wants to create, run, or analyze evaluation suites for Microsoft 365 Copilot declarative agents with the public @microsoft/m365-copilot-eval CLI. Trigger on intents such as \"evaluate my agent\", \"test my agent\", \"run my evals\", \"create eval prompts\", \"add multi-turn tests\", \"tune evaluator thresholds\", \"why is my agent failing\", or \"set up eval environment variables\".

Microsoft 365 Agents SDK for .NET. Build multichannel agents for Teams/M365/Copilot Studio with ASP.NET Core hosting, AgentApplication routing, and MSAL-based auth.

| Microsoft 365 Agents SDK for .NET. Build multichannel agents for Teams/M365/Copilot Studio with ASP.NET Core hosting, AgentApplication routing, and MSAL-based auth. Triggers: \"Microsoft 365 Agents SDK\", \"Microsoft.Agents\", \"AddAgentApplicationOptions\", \"AgentApplication\", \"AddAgentAspNetAuthentication\", \"Copilot Studio client\", \"IAgentHttpAdapter\".

Microsoft 365 Agents SDK for Python. Build multichannel agents for Teams/M365/Copilot Studio with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based auth.

| Microsoft 365 Agents SDK for Python. Build multichannel agents for Teams/M365/Copilot Studio with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based auth. Triggers: \"Microsoft 365 Agents SDK\", \"microsoft_agents\", \"AgentApplication\", \"start_agent_process\", \"TurnContext\", \"Copilot Studio client\", \"CloudAdapter\".

Microsoft 365 Agents SDK for TypeScript/Node.js.

| Microsoft 365 Agents SDK for TypeScript/Node.js. Build multichannel agents for Teams/M365/Copilot Studio with AgentApplication routing, Express hosting, streaming responses, and Copilot Studio client integration. Triggers: \"Microsoft 365 Agents SDK\", \"@microsoft/agents-hosting\", \"AgentApplication\", \"startServer\", \"streamingResponse\", \"Copilot Studio client\", \"@microsoft/agents-copilotstudio-client\".

Maestro Frontier local multi-CLI fusion engine - compose or choose a read-only model panel, inspect the catalog, arm, disarm, or run it

View and change Maestro toggles (terse, frontier, context-bar, discipline, verify) via the settings CLI

Toggle Maestro terse narration level (lite, full, ultra, off) via the settings CLI

Update Maestro to the latest marketplace version for Codex

Direct Maestro command hub for Codex slash menu: compose or choose a Frontier model panel, settings, terse, and update

| Temporary inboxes for agent signup QA — create disposable addresses, wait for verification email, extract OTP or magic links. Use when automating signup, login, or email verification without parsing HTML manually.

> Maintain the slopus/happy open source project. Triage issues, manage the GitHub project board, draft closing comments, find duplicates, check if bugs are fixed on main, and engage with community contributors. NEVER posts comments or closes issues without showing exact text and getting approval first.

Discover, list, create, edit, toggle, copy, move, and delete AI agent skills across 11 tools (Cursor, Claude, Agents, Windsurf, Copilot, Codex, Cline, Aider, Continue, Roo Code, Augment)

Discover, list, create, edit, toggle, copy, move, and delete AI agent skills across 11 tools (Cursor, Claude, Agents, Windsurf, Copilot, Codex, Cline, Aider, Continue, Roo Code, Augment)

Run an Anthropic Claude Managed Agent — a cloud agent harness (container + filesystem + tools), the cloud counterpart of the local wasm-agent runtime

Install and configure the Manifest observability plugin for your agents. Use when setting up telemetry, configuring API keys, or troubleshooting the plugin.

Use when a user wants to convert any markdown file in their Claude project into a single-file, lightly-interactive HTML — long-form documents (specs, plans, RFCs, reports, explainers), code reviews with diffs and severity-tagged annotations, or slide decks. Triggers on \"convert this markdown to HTML\", \"make this an HTML file\", \"turn this into an interactive document\", \"render this report as HTML\", \"PR writeup as HTML\", \"slides from this markdown\". Forks context to route to one of ...

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Run TAM/SAM/SOM market sizing with top-down and bottom-up methods, competitive landscape, and tech stack analysis. Triggered by: \"/venture-capital-intelligence:market-size\", \"size this market\", \"what is the TAM for X\", \"market sizing analysis\", \"competitive landscape for X\", \"who are the competitors\", \"TAM SAM SOM for X\", \"market opportunity analysis\", \"how big is this market\", \"is this market big enough\", \"what's the addressable market\", \"total addressable market for X...

Get the current market value of a vehicle from its VIN using the CarsXE API. Use this when a user asks how much a car is worth, wants to know its value, or is thinking about buying/selling a vehicle.

Produces clean, functional code that matches the architecture and checklists.

Cleans up and improves existing code without changing behavior.

Connect to MAXIA AI-to-AI marketplace on Solana. Discover, buy, sell AI services. Earn USDC. 13 MCP tools, A2A protocol, DeFi yields, sentiment analysis, rug detection.