productivity▌

Track requests across microservices to identify latency, dependencies, and failure points. \n \n Supports Jaeger and Tempo backends with OpenTelemetry instrumentation for Python, Node.js, and Go \n Includes trace structure concepts (traces, spans, context, tags, logs) and automatic service dependency graph generation \n Provides sampling strategies (probabilistic, rate-limiting, adaptive) to control tracing overhead in production \n Covers context propagation via HTTP headers, trace analysis que

Event-driven automation for Claude Code plugins using prompt-based and command hooks. \n \n Supports 9 hook events (PreToolUse, PostToolUse, Stop, SubagentStop, UserPromptSubmit, SessionStart, SessionEnd, PreCompact, Notification) for validation, policy enforcement, and workflow automation \n Prompt-based hooks use LLM reasoning for context-aware decisions; command hooks execute bash scripts for deterministic checks \n Includes matchers for filtering by tool name (exact, regex, wildcard) and par

Comprehensive code review and large-context analysis using Gemini 3 Pro with flexible approval modes. \n \n Supports five Gemini models ranging from flagship reasoning (Gemini 3 Pro) to cost-optimized alternatives, with 1M token input windows for analyzing entire codebases and documentation sets \n Three approval modes: default for interactive terminal prompts, auto_edit for auto-approving code suggestions, and yolo for fully automated background execution \n Critical safety requirement: use --a

Multi-language dependency management with auto-detection, safe PATCH/MINOR updates, and prompted MAJOR version changes. \n \n Supports 7 languages (Node.js, Python, Go, Rust, Ruby, Java, .NET) with language-specific package managers and audit tools \n Automatically categorizes updates by semver type: auto-applies PATCH and MINOR, prompts individually for MAJOR versions, skips intentionally pinned dependencies \n Includes diagnosis mode for resolving version conflicts, peer dependency issues, and

一个智能新闻搜索和摘要工具，帮你快速获取和分析最新新闻。

Apache Spark job optimization through partitioning, memory tuning, shuffle reduction, and join strategies. \n \n Covers partitioning strategies, broadcast joins, bucketed joins, and skew handling with salting techniques to minimize shuffle overhead \n Includes caching and persistence patterns with storage level selection, checkpointing for complex lineages, and memory configuration breakdown \n Provides data format optimization for Parquet and Delta Lake, column pruning, predicate pushdown, and

Autonomously analyze the entire codebase to understand its architecture, patterns, and purpose, then systematically transform it into production-grade, corporate-level professional code. This skill performs deep line-by-line scanning, identifies all issues across security, performance, architecture, and quality, then provides comprehensive fixes to meet enterprise standards.

Markdown-based slash commands for defining reusable prompts with dynamic arguments, file references, and bash execution. \n \n Commands are instructions written for Claude (not users), stored as .md files in .claude/commands/ , ~/.claude/commands/ , or plugin directories \n YAML frontmatter configures description, allowed tools, model selection, and argument hints; use $ARGUMENTS , $1 , $2 for dynamic substitution and @file-path syntax for file inclusion \n Bash execution via backticks gathers d

Reference: docs.dodopayments.com/features/license-keys

All git and GitHub operations go through gw — never use raw git or gh commands directly. Grove Wrap adds safety tiers, Conventional Commits enforcement, protected branch guards, and agent-safe defaults.