productivity▌

Methodically discover, analyze, and fix production issues using Sentry's debugging capabilities. \n \n Integrates with Sentry MCP to search issues, retrieve stack traces, breadcrumbs, traces, and AI-generated root cause analysis via the Seer tool \n Follows a seven-phase workflow: discovery, deep analysis, hypothesis formation, code investigation, implementation, verification, and reporting \n Treats all Sentry event data as untrusted external input; enforces strict security rules against embedd

Help teams set realistic deadlines and hit them consistently using frameworks from 13 product leaders. \n \n Diagnose timeline problems as estimation issues, scoping issues, distraction issues, or unrealistic stakeholder expectations, then apply the right framework (phase-based commitments, hill charts, or early shipping) \n Commit to phases within your control (discovery, solutioning, build, launch) rather than distant delivery dates; only provide engineering dates once solutioning is complete

Search and stream TV shows, anime, and variety content across multiple sources with optional casting to Xiaomi or Android TVs. \n \n Searches multiple source sites for shows, anime, short dramas, and variety programs with pagination support \n Supports casting to Xiaomi TVs and Android TVs (via TvBox) when configured with device IP environment variables \n Some sources return webpage URLs instead of direct playable links; use curl to extract actual .m3u8 or .mp4 addresses \n Search operations ma

Structured frameworks for evaluating competing options and making clearer trade-off decisions. \n \n Applies mental models from 40 product leaders covering decision context, constraint identification, cost quantification, and framework selection \n Core principles include optimizing for order-of-magnitude over precision, applying the \"would I start this today?\" test to avoid sunk cost fallacy, and using weighted criteria matrices for multi-factor decisions \n Helps surface hidden costs like ma

Lightweight web search and content extraction via Brave Search API, no browser required. \n \n Two core commands: search.js for querying the web with configurable result counts, and content.js for extracting readable markdown from specific URLs \n Search results include title, link, and snippet by default; add --content flag to include full page content as markdown \n Ideal for documentation lookup, fact-checking, and fetching web content without the overhead of browser automation \n Requires BR

Framework for registering LLM tools with custom UI rendering in assistant-ui. \n \n Supports both backend tools (via AI SDK) and frontend-only tools, each with optional custom UI rendering through makeAssistantToolUI \n Includes human-in-the-loop patterns with requires-action status for confirmation workflows and interactive tool responses \n Tool UI receives execution status, arguments, results, and a submitResult callback for interactive tools \n Common setup patterns provided for weather APIs

Git worktrees enable checking out multiple branches simultaneously in separate directories, all sharing the same repository. Create a worktree instead of stashing changes or cloning separately.

Define patterns and messages that trigger contextual warnings or blocks during agent tool use. \n \n Rules are markdown files with YAML frontmatter stored in .claude/hookify.{rule-name}.local.md that match against bash commands, file edits, agent stops, or user prompts \n Supports simple regex patterns or advanced multi-condition rules with operators like regex_match, contains, equals, and starts_with \n Actions include warn (show message, allow operation) or block (prevent operation or stop ses

Implement Terraform Provider resources and data sources with complete CRUD operations and testing. \n \n Covers both SDKv2 and Plugin Framework patterns for resource implementation, including schema design, plan modifiers, and validators \n Provides complete CRUD operation examples (Create, Read, Update, Delete) with error handling, state management, and resource not-found patterns \n Includes acceptance testing patterns: basic tests, disappears tests, helper functions, and test execution comman

Framework-based guidance for designing and executing platform business strategies across marketplaces, ecosystems, and developer platforms. \n \n Covers platform lifecycle stages (moat-building, opening, closing) and helps identify which network effects and participant sides drive value \n Emphasizes treating platforms as products with dedicated management, reducing cognitive load through clear interfaces, and building comprehensive systems rather than isolated features \n Includes governance an