Claude Skills by satishkc7

Use this skill when writing Architecture Decision Records (ADRs) for AI/ML systems. Triggers include: "write an ADR", "document this decision", "record why we chose X", "architecture decision for model selection", or any request to formally capture a technical design choice in an AI project.

Use this skill when writing, reviewing, or scaffolding code that calls LLM APIs (Anthropic, AWS Bedrock, OpenAI, Cohere). Triggers include: "call the Claude API", "integrate with Bedrock", "wrap an LLM call", "add retry logic", "handle streaming", "count tokens", or any task involving production-grade LLM API client code.

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

Brand voice, visual identity, messaging frameworks, asset management, brand consistency. Activate for branded content, tone of voice, marketing assets, brand compliance, style guides.

Persistent memory system - automatically activates every session. Captures session context, maintains continuity across conversations, tracks what was worked on, and injects relevant history into new sessions.

Use this skill when reviewing any code — general PRs or AI/LLM-specific pipelines. Triggers include: "review this code", "check my PR", "find issues", "is this safe", or when shown code that interacts with LLM APIs, prompt construction, vector stores, agents, or any backend/frontend logic.

Use the codebase knowledge graph for structural code queries. Triggers on: explore the codebase, understand the architecture, what functions exist, show me the structure, who calls this function, what does X call, trace the call chain, find callers of, show dependencies, impact analysis, dead code, unused functions, high fan-out, refactor candidates, code quality audit, graph query syntax, Cypher query examples, edge types, how to use search_graph.

Compress a memory file such as CLAUDE.md or a todo list into caveman format to save input tokens, keeping a readable backup. Trigger: /caveman-compress.

Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini, Atlas Cloud, or MuAPI AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social/ads/web/print), icon design (15 styles, SVG, Gemini 3.1 Pro), social photos (HTML→screenshot, multi-platform). Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social medi...

Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing/typography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.

Use this skill when designing evaluation frameworks for LLM outputs or AI pipelines. Triggers include: "how do I evaluate my model", "create a test set", "build an eval", "measure LLM quality", "create scoring rubric", "test my prompt", or any request to benchmark or assess AI system performance. Also covers Promptfoo setup and configuration.

Senior UI/UX Engineer. Architect and audit digital interfaces overriding default LLM biases. Enforces metric-based rules, strict component architecture, CSS hardware acceleration, and balanced design engineering. Supports generation and operational modes: audit, critique, polish, harden, normalize, overdrive, typeset, colorize, arrange, animate, optimize.

Use when exploring, mapping, or understanding a codebase structure. Turns any folder of code, docs, PDFs, images, or videos into a queryable knowledge graph with interactive visualization, community detection, and relationship analysis.

Use this skill when reviewing AI outputs for factual accuracy or grounding failures. Triggers include: "check this for hallucinations", "is this output grounded", "verify this AI response", "fact-check the model output", "does this match the source", or any request to audit LLM outputs for fabricated or unsupported claims.

Use when building, configuring, or deploying self-improving AI agents. Covers Hermes Agent setup, multi-platform gateway (Telegram/Discord/Slack/WhatsApp/20+), skill creation, cron scheduling, memory systems, subagent delegation, and 200+ model switching.

Use this skill when scaffolding infrastructure for AI model serving, deployment, or MLOps pipelines. Triggers include: "deploy my model", "create a Docker setup for my AI app", "SageMaker endpoint config", "auto-scaling for LLM", "observability for AI", or any request to create infra configs for AI workloads.

Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web. Includes a doctor health check to diagnose broken or missing sources.

Use this skill when creating model cards for any ML model or LLM deployment. Triggers include: "write a model card", "document this model", "create model documentation", "model card for deployment", or any request to document an AI model's intended use, limitations, or performance.

Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you can't tell what happened from the available data.

Use this skill when the user asks to "run pre-deployment checklist", "check before production", "pre-deploy review", "is this ready for production", "production readiness check", or any request to audit a project before going live. Reviews authorization, input validation, CORS, rate limiting, security, error handling, database, logging, alerts, and rollback readiness.

Use this skill when crafting, iterating, or evaluating prompts for LLMs. Triggers include: writing a system prompt, improving an existing prompt, creating few-shot examples, structuring chain-of-thought, evaluating prompt quality, or testing prompts with Promptfoo. Also use when the user says "help me write a prompt", "improve this prompt", or "why is my prompt not working".

Use this skill when building, designing, or debugging Retrieval-Augmented Generation (RAG) pipelines. Triggers include: "build a RAG system", "set up document search", "connect my docs to an LLM", "improve retrieval quality", "chunking strategy", or any task involving embedding, indexing, and retrieval of documents for LLM use.

Use this skill when building fast proofs-of-concept, MVPs, or prototypes. Triggers include: "build a quick prototype", "MVP for this idea", "validate this concept", "fastest way to build X", "proof of concept", or any request to create a working demo quickly. Prioritizes speed, validation, and iteration over polish and perfection.

Hardens code against vulnerabilities. Use when handling user input, authentication, data storage, or external integrations. Use when building any feature that accepts untrusted data, manages user sessions, or interacts with third-party services. Use when auditing dependencies for known vulnerabilities, triaging package-manager audit findings, or assessing supply-chain risk in a new package. Use when personal data or privacy compliance (GDPR, CCPA) is involved.

Use when executing implementation plans with independent tasks in the current session

Use when implementing any feature or bugfix, before writing implementation code

Use this skill when the user asks to "design a system", "system design interview", "design an architecture", "design a scalable service", "how would you design X", or any request involving architecting distributed systems, APIs, databases, or large-scale services.

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Use this skill when translating AI/ML concepts into stakeholder-friendly language. Triggers include: "explain this to non-technical stakeholders", "write an executive summary", "simplify this AI concept", "business case for AI", or any request to communicate AI topics to a non-technical audience.

Drives development with tests. Use when implementing any logic, fixing any bug, or changing any behavior. Use when you need to prove that code works, when a bug report arrives, or when you're about to modify existing functionality.

A test skill to verify loading works.

Use this skill when writing tests for AI pipelines, LLM integrations, or ML systems. Triggers include: "write tests for my AI code", "how do I test an LLM call", "mock the API", "test my RAG pipeline", "non-deterministic output testing", or any request to add test coverage to code that calls LLMs.

Use this skill when debugging or analyzing LLM traces, chain outputs, or agent execution logs. Triggers include: "debug my LLM chain", "why is my agent failing", "analyze this trace", "find the bottleneck", "why is latency high", or any request to investigate AI pipeline execution.

Create beautiful, accessible user interfaces with shadcn/ui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs. Use when building user interfaces, implementing design systems, creating responsive layouts, adding accessible components (dialogs, dropdowns, forms, tables), customizing themes and colors, implementing dark mode, generating visual designs and posters, or establishing consistent styling patterns across applications.

UI/UX design intelligence for web, mobile, and desktop. This skill should be used when designing, building, reviewing, or fixing interfaces, including pages, components, design systems, accessibility, interaction, responsive layout, typography, color, charts, and stack-specific UI implementation. Searchable local data: 79 searchable styles (50 active), 192 product palettes and reasoning profiles, 74 font pairings, 119 UX guidelines, 105 icons, 17 GSAP presets, 25 chart types, and 22 stacks.

Discovers and invokes agent skills. Use when starting a session or when you need to discover which skill applies to the current task. This is the meta-skill that governs how all other skills are discovered and invoked.

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

Use when creating new skills, editing existing skills, or verifying skills work before deployment

Download YouTube videos with customizable quality and format options. Use this skill when the user asks to download, save, or grab YouTube videos. Supports various quality settings (best, 1080p, 720p, 480p, 360p), multiple formats (mp4, webm, mkv), and audio-only downloads as MP3.