Skills from clawhub.ai/veeramanikandanr48

Use when designing new system architecture, reviewing existing designs, or making architectural decisions. Invoke for system design, architecture review, design patterns, ADRs, scalability planning.

Use when designing REST or GraphQL APIs, creating OpenAPI specifications, or planning API architecture. Invoke for resource modeling, versioning strategies, pagination patterns, error handling standards.

This skill should be used when the user requests brand analysis, brand guidelines creation, brand audits, or establishing brand identity and consistency standards. It provides comprehensive frameworks for analyzing brand elements and creating actionable brand guidelines based on requirements.

This skill provides production-ready patterns and examples for self-hosted TypeScript authentication with Cloudflare D1 using `drizzle`/`kysely`, including code, schema, and a setup script. It contains explicit shell commands (e.g., `./scripts/setup-d1-drizzle.sh`, `wrangler d1 create`) and instructions to store secrets in env vars (`BETTER_AUTH_SECRET`, `CLOUDFLARE_TOKEN`) and run remote CLI operations.

Provides Microsoft Entra ID (Azure AD) authentication patterns for React SPAs and Cloudflare Workers, including MSAL React setup and `jose`-based JWT validation. The skill makes network calls to `https://login.microsoftonline.com/...` to fetch OpenID configuration and requires env vars `VITE_AZURE_CLIENT_ID`, `VITE_AZURE_TENANT_ID`, `AZURE_CLIENT_ID`, and `AZURE_TENANT_ID`.

This skill should be used when analyzing recent market-moving news events and their impact on equity markets and commodities. Use this skill when the user requests analysis of major financial news from the past 10 days, wants to understand market reactions to monetary policy decisions (FOMC, ECB, BOJ), needs assessment of geopolitical events' impact on commodities, or requires comprehensive review of earnings announcements from mega-cap stocks. The skill automatically collects news using WebSearch/WebFetch tools and produces impact-ranked analysis reports. All analysis thinking and output are conducted in English.

Use when building Angular 17+ applications with standalone components or signals. Invoke for enterprise apps, RxJS patterns, NgRx state management, performance optimization, advanced routing.

This skill documents building backend AI with the Vercel AI SDK and supplies code examples, templates, and MCP/tooling. It contains explicit shell commands (`npm install`, `npx ...`), uses environment keys like `OPENAI_API_KEY`, and shows network calls to `https://ai-sdk.dev/docs` and provider APIs.

This skill analyzes S&P 500 breadth and Uptrend Ratio chart images and generates markdown reports using bundled references such as `references/breadth_chart_methodology.md` and the template `assets/breadth_analysis_template.md`. No security-relevant behaviors detected.

This skill documents Clerk authentication patterns for React, Next.js and Cloudflare and includes code, middleware, webhook handlers and helper scripts. It instructs use of secrets like `CLERK_SECRET_KEY`, running `scripts/generate-session-token.js` / shell commands (e.g., `npx wrangler secret put CLERK_WEBHOOK_SECRET`), and network calls to `https://api.clerk.com/v1`.

This skill provides WCAG 2.1 AA guidance and an `a11y-auditor` agent for auditing pages, components, and code. The agent explicitly instructs using file tools (`Read`, `Glob`, `Grep`, e.g. `grep -r "div.*onclick" src/`) and running network scans (e.g., `axe https://example.com`).

Zero-config animations for React, Vue, Solid, Svelte, Preact with @formkit/auto-animate (3.28kb). Prevents 15 documented errors including React 19 StrictMode bugs, SSR imports, conditional parents, viewport issues, drag & drop conflicts, and CSS transform bugs. Use when: animating lists/accordions/toasts, troubleshooting SSR animation errors, React 19 StrictMode issues, or need accessible drop-in transitions with auto prefers-reduced-motion.

This skill documents building Claude Code agents, including prompt templates, tool allowlists, memory fixes, and pipeline practices. It instructs adding `export NODE_OPTIONS="--max-old-space-size=16384"` to `~/.bashrc`, recommends broad `tools: Read, Write, Edit, Glob, Grep, Bash`, and allowlists `WebFetch(domain:*)`.

Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.

Provides frontend React UI templates, examples, and migration guidance for the Vercel AI SDK v6. Includes instructions to read `OPENAI_API_KEY` from `.env.local`, call providers in API routes like `app/api/chat/route.ts` (e.g., `openai('gpt-4-turbo')`), and run developer commands such as `npm install`.

This skill should be used when analyzing HTML/CSS websites for SEO optimization, fixing SEO issues, generating SEO reports, or implementing SEO best practices. Use when the user requests SEO audits, optimization, meta tag improvements, schema markup implementation, sitemap generation, or general search engine optimization tasks.

This skill screens stocks for pair-trading opportunities, runs Python analysis scripts, and generates reports. It executes `python` scripts (e.g., `python scripts/find_pairs.py`), calls `https://financialmodelingprep.com/api/v3/historical-price-full/{symbol}` and `https://financialmodelingprep.com/api/v3/stock-screener`, and uses the `FMP_API_KEY` env var.

Portfolio Manager analyzes brokerage portfolios via Alpaca MCP and generates markdown reports. The skill reads `ALPACA_API_KEY`/`ALPACA_SECRET_KEY`, instructs running `python3 portfolio-manager/scripts/test_alpaca_connection.py`, and calls `https://paper-api.alpaca.markets` for account and positions data.

Use when building iOS/macOS applications with Swift 5.9+, SwiftUI, or async/await concurrency. Invoke for protocol-oriented programming, SwiftUI state management, actors, server-side Swift.

スタンレー・ドラッケンミラーの投資哲学と戦略に基づいた投資アドバイスを提供。30年間無敗、年率30%近いリターンを達成した伝説的投資家の思考法を活用し、マクロ経済分析、リスク管理、ポジション構築、市場サイクルの読み方などについて実践的な指導を行う。投資判断、市場分析、リスク管理、ポートフォリオ構築などの相談時に使用。

This skill generates CI/CD pipeline configurations and templates for GitHub Actions, GitLab CI, CircleCI, and Jenkins. It includes instructions to run shell commands and integrate with external services using secrets (e.g., `vercel --token $VERCEL_TOKEN`, `aws s3 sync .next/static s3://${{ secrets.S3_BUCKET }}/static`), requiring network access and credential use.

This skill produces beginner-friendly documentation and reusable templates for READMEs, architecture guides, code comments, and API docs. It includes explicit shell commands (e.g., `lsof -ti:3000 | xargs kill -9`), env-file instructions (`cp .env.example .env`), and example endpoints (`https://api.example.com/v1`), which are security-relevant.

Provides a complete Claude Agent SDK reference with templates and examples for building autonomous agents. Contains instructions to run shell commands (e.g., `command: "npx", args: ["@modelcontextprotocol/server-filesystem"]`, `npm install -g @anthropic-ai/claude-code`), call external endpoints (`https://api.example.com/mcp`, `https://api.weather.com/v1/current?...`), and read/use `ANTHROPIC_API_KEY` and `~/.claude/settings.json`.

This skill fetches upcoming US earnings from Financial Modeling Prep (FMP) and generates organized markdown reports. It runs local scripts (`python scripts/fetch_earnings_fmp.py`, `python scripts/generate_report.py`), uses the `FMP_API_KEY`/`API_KEY` value, and calls `https://financialmodelingprep.com/api/v3`.

This skill screens dividend-growth stocks using `https://elite.finviz.com/export.ashx` and `https://financialmodelingprep.com/api/v3` and writes JSON/Markdown outputs to `logs/`. It requires API keys via `FMP_API_KEY`/`FINVIZ_API_KEY` and includes shell commands to run `scripts/screen_dividend_growth_rsi.py`; these behaviors are purpose-aligned.

Comprehensive market environment analysis and reporting tool. Analyzes global markets including US, European, Asian markets, forex, commodities, and economic indicators. Provides risk-on/risk-off assessment, sector analysis, and technical indicator interpretation. Triggers on keywords like market analysis, market environment, global markets, trading environment, market conditions, investment climate, market sentiment, forex analysis, stock market analysis, 相場環境, 市場分析, マーケット状況, 投資環境.

Provides Dockerfiles, docker-compose, and executable scripts to containerize and deploy Next.js/Node apps. The package includes runnable scripts and shell commands (e.g., `./docker-build.sh`, `docker push`, `kubectl apply`), network registry usage (`gcr.io`, `docker.io`) and handling of env files/secret names like `NODE_ENV` and `.env.production`.

This skill is a development guide for building MCP servers and tools for LLM integration. It instructs fetching `https://modelcontextprotocol.io/llms-full.txt` and other SDK docs and executing commands such as `timeout 5s python server.py`, and references constants like `CHARACTER_LIMIT` and `API_BASE_URL`.

Creates formal academic research papers following IEEE/ACM formatting standards with proper structure, citations, and scholarly writing style. Use when the user asks to write a research paper, academic paper, or conference paper on any topic.

This skill should be used when analyzing sector and industry performance charts to assess market positioning and rotation patterns. Use this skill when the user provides performance chart images (1-week or 1-month timeframes) for sectors or industries and requests market cycle assessment, sector rotation analysis, or strategic positioning recommendations based on performance data. All analysis and output are conducted in English.

Use when building Apache Spark applications, distributed data processing pipelines, or optimizing big data workloads. Invoke for DataFrame API, Spark SQL, RDD operations, performance tuning, streaming analytics.

This skill is a secure-coding guide for authentication, input validation, encryption, and OWASP Top 10 prevention with code examples. It reads environment secrets such as `process.env.JWT_SECRET` and `process.env.SESSION_SECRET` and instructs storing secrets in environment/secret managers.

This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs. Use this skill when the user provides chart images and requests technical analysis, trend identification, support/resistance levels, scenario planning, or probability assessments based purely on chart data without consideration of news or fundamental factors.

Provides guidance and templates for building cross-platform CLI tools in Node, Python, and Go. It reads config files and environment variables (e.g., `Path("/etc/mycli/config.json")`, `~/.mycli/credentials.json`, `MYCLI_*`) and includes explicit shell commands (e.g., `npm install -g mycli@latest`, `sudo mycli config set key value`).

This skill provides production-grade cryptocurrency trading analysis with CLI and LLM interfaces. It performs network calls to exchanges and LLM providers (`binance`, `coinbase`, `kraken`, `bybit`, `openai`, `anthropic`), reads `OPENAI_API_KEY`/`ANTHROPIC_API_KEY` from the environment, and includes shell/run instructions like `python skill.py analyze BTC/USDT --balance 10000`.

This skill analyzes SEC 13F filings to track institutional ownership and produces local markdown/JSON reports. It requires `FMP_API_KEY`, runs local `python3` scripts, and calls `https://financialmodelingprep.com` for data; these network, credential, and execution behaviors are purpose‑aligned and low risk.

Use when building React 18+ applications requiring component architecture, hooks patterns, or state management. Invoke for Server Components, performance optimization, Suspense boundaries, React 19 features.

ニュースヘッドラインを入力として18ヶ月シナリオを分析するスキル。 scenario-analystエージェントで主分析を実行し、 strategy-reviewerエージェントでセカンドオピニオンを取得。 1次・2次・3次影響、推奨銘柄、レビューを含む包括的レポートを日本語で生成。 使用例: /scenario-analyzer "Fed raises rates by 50bp" トリガー: ニュース分析、シナリオ分析、18ヶ月展望、中長期投資戦略

Use when understanding legacy or undocumented systems, creating documentation for existing code, or extracting specifications from implementations. Invoke for legacy analysis, code archaeology, undocumented features.

Options Strategy Advisor provides Black‑Scholes pricing, Greeks, P/L simulation, earnings guidance, and risk management. It instructs running shell commands (`pip install ...`, `python scripts/black_scholes.py`), calls `https://financialmodelingprep.com` endpoints, and requires the `FMP_API_KEY` environment variable.

High-risk skill for security audits and penetration testing. It includes explicit `bash`/CLI commands (e.g., `nmap`, `sqlmap`, `gitleaks`), external calls like `https://crt.sh/?q=%.example.com&output=json` and secret handling (`vault kv put secret/app/config api_key="secret123"`, `GITHUB_TOKEN`), enabling shell execution and network access.

Use when optimizing SQL queries, designing database schemas, or tuning database performance. Invoke for complex queries, window functions, CTEs, indexing strategies, query plan analysis.

This skill provides implementation guidance and code templates for Spring Boot 3.x microservices and related concerns. It embeds examples that contact external endpoints like `https://api.example.com`/`https://auth.example.com`, includes Dockerfile commands such as `RUN ./mvnw install -DskipTests`, and uses environment placeholders like `${CONFIG_PASSWORD}`.

This skill provides testing guidance, example suites, and local analysis scripts for JavaScript/TypeScript projects. It includes instructions to run local commands like `python3 scripts/find_untested_code.py` and `npm test`, references `TEST_DB_URL`/`process.env.SECRET`, and contains example calls to `https://api.example.com`.

SRE skill for defining SLOs, runbooks, automation, and chaos experiments. Contains explicit instructions to execute arbitrary shell commands (e.g., `subprocess.run(..., shell=True)`, `kubectl`, `tc`, `iptables`) and destructive file operations like `find /var/log ... -delete`, posing high risk.

This skill is a comprehensive QA/testing assistant for writing tests, strategies, and CI automation. It contains explicit CI shell commands (e.g., `npm ci`, `npx playwright test`), HTTP requests to `http://localhost:3000` endpoints, and test code that captures `authToken` for `Authorization` headers.

This skill provides senior TypeScript guidance for advanced types, tooling, and build configuration. It includes example code that reads `process.env.API_URL`, `process.env.API_KEY`, and `DATABASE_URL`, and shows shell commands like `tsc --diagnostics` and `npx @typescript/analyze-trace trace`.

Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.

Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.

Use when building Vue 3 applications with JavaScript only (no TypeScript). Invoke for JSDoc typing, vanilla JS composables, .mjs modules.

Use when building real-time communication systems with WebSockets or Socket.IO. Invoke for bidirectional messaging, horizontal scaling with Redis, presence tracking, room management.

Provides Terraform engineering guidance for modules, state backends, providers, testing, and best practices. Contains explicit instructions that use credentials (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, `GOOGLE_APPLICATION_CREDENTIALS`), run shell commands (`terraform init`, `terraform plan`, `terraform apply`), and fetch code/modules from network URLs (`git::https://github.com/...`, `https://kubernetes.github.io/ingress-nginx`).

This skill is a Vue 3 implementation specialist that provides code patterns, Nuxt/Vite/Quasar examples, and build/setup recipes. It contains examples that use env vars like `VITE_API_URL` and `SENTRY_AUTH_TOKEN`, perform network calls such as `https://api.example.com` and `fetch('/api/users')`, and run CLI commands (`npm`, `npx`).

Provides WordPress theme, plugin, Gutenberg, WooCommerce and security/performance guidance with example code and templates. Includes example network calls to `https://example.com/api/plugin-updates/`, an `api_key` settings field, and shell commands like `npx @wordpress/create-block`.