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Found 2,747 Skills
Query and analyze Datadog logs, metrics, APM traces, and monitors using the Datadog API. Use when debugging production issues, monitoring application performance, or investigating alerts.
Execute PostHog production deployment checklist and rollback procedures. Use when deploying PostHog integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "posthog production", "deploy posthog", "posthog go-live", "posthog launch checklist".
Process query and analyze blockchain data including blocks, transactions, and smart contracts. Use when querying blockchain data and transactions. Trigger with phrases like "explore blockchain", "query transactions", or "check on-chain data".
This skill should be used when the user asks about crypto prices, market data, K-line charts, funding rates, open interest, long/short ratios, whale orders, liquidation data, crypto news, newsflash, Twitter crypto tweets, trending coins, stock quotes, treasury holdings, or any crypto market query. Also use when user asks about configuring or checking AiCoin API key. Use when user says: 'BTC price', 'check price', 'show K-line', 'funding rate', 'open interest', 'whale orders', 'long/short ratio', 'crypto news', 'newsflash', 'trending coins', '查行情', '看价格', '大饼多少钱', 'K线', '资金费率', '多空比', '鲸鱼单', '新闻快讯', '热门币', 'liquidation map', '配置AiCoin key', 'AiCoin API key', 'AiCoin key安全吗'. Covers 200+ exchanges with real-time data. MUST run node scripts to fetch real data. NEVER generate fake prices or hallucinate market data. IMPORTANT — AiCoin API Key: When user asks about AiCoin API key (配置/检查/安全/能不能交易), run `node scripts/coin.mjs api_key_info` FIRST, show the security_notice to user. For exchange trading (buy/sell/balance), use aicoin-trading instead. For Freqtrade strategies/backtest, use aicoin-freqtrade. For Hyperliquid whale analytics, use aicoin-hyperliquid.
This skill should be used when the user asks about writing trading strategies, backtesting, deploying Freqtrade bots, quantitative trading, strategy optimization, or any Freqtrade-related operation. Use when user says: 'write strategy', 'create strategy', 'backtest', 'deploy Freqtrade', 'deploy bot', 'quantitative trading', 'strategy optimization', 'hyperopt', 'live trading bot', '写策略', '创建策略', '回测', '部署Freqtrade', '部署机器人', '量化交易', '量化策略', '策略优化', '超参数优化', '实盘机器人'. IMPORTANT: ALWAYS use create_strategy to generate strategy files. NEVER write Python strategy code by hand. For crypto prices/charts, use aicoin-market. For exchange trading, use aicoin-trading. For Hyperliquid, use aicoin-hyperliquid.
Generate professional product packaging designs using each::sense AI. Create box designs, food packaging, cosmetic containers, beverage labels, supplement bottles, coffee bags, candle packaging, gift boxes, shopping bags, and product labels.
Audits project dependencies for license compliance, maintenance health, security vulnerabilities, and bloat. Analyzes both direct and transitive dependency trees, detects abandoned packages, identifies license conflicts (copyleft, unknown), checks for known CVEs, and finds unused or duplicate dependencies. Triggers on: "audit dependencies", "dependency check", "license check", "dependency health", "abandoned packages", "bloat check", "unused dependencies", "security audit dependencies", "dependency review", "license compliance", "package audit", "supply chain", "dependency risk". Use this skill when reviewing project dependencies for risk.
Produces calibrated three-point estimates (best/likely/worst case) with explicit unknowns, confidence intervals, and assumption documentation. Breaks work into atomic units, identifies technical and scope uncertainties, calculates PERT ranges, and provides confidence rationale. Triggers on: "estimate this", "how long will this take", "effort estimate", "time estimate", "best case worst case", "confidence interval", "sizing", "estimate effort", "how big is this", "story points", "t-shirt sizing", "estimate the work", "PERT". NOT for task decomposition, implementation plans, or dependency mapping — use task-decomposer instead. Use this skill when a task or project needs an effort estimate with explicit uncertainty.
Pull request and code review with diff-based routing across five dimensions: code quality and guideline compliance, test coverage analysis, silent failure detection, type design and invariant analysis, and comment quality auditing. Classifies changed files and loads only relevant review methodologies. Produces severity-ranked findings (Critical, Important, Suggestion) with confidence scoring. Replaces pr-review-toolkit plugin. Trigger phrases: "review my PR", "review this code", "check my changes", "is this ready to merge", "audit this PR", "review before committing", "check code quality", "any issues with this code", "pre-merge review", "look over my changes", "code review". Use this skill when reviewing code before commit or merge, checking PR quality, or when the user asks for feedback on recent modifications.
File and directory operations using Claude Code built-in tools — replaces the Filesystem MCP server. Maps all 11 MCP tools to native equivalents: Read, Write, Edit, Glob, Grep, and Bash. Covers file reading with line ranges, parallel reads, pattern-based file search, regex content search, directory listing, tree traversal, move/copy/rename, and metadata inspection. Trigger phrases: "read this file", "write to file", "create a file", "edit file", "find files matching", "search for text in files", "list directory", "show directory tree", "move file", "rename file", "copy file", "file info", "find all Python files", "search codebase for". Use this skill when performing file operations, navigating codebases, or managing directories.
Resolves shared ecosystem environment constants (HuggingFace credentials, dataset repo IDs, project root path) for any plugin without depending on internal shared libraries. V2 enforces Token Leakage constraints.
Interactive initialization script that acts as a Plugin Architect. Generates a compliant '.claude-plugin' directory structure and `plugin.json` manifest using diagnostic questioning to ensure proper L4 patterns and Tool Connector schemas.