productivity▌

Read, write, and batch-update Google Sheets with direct API access. \n \n Supports three helper commands: +read for retrieving values, +append for adding rows, and batchUpdate for applying multiple validated changes atomically \n Access spreadsheets resource with methods to create, retrieve, and modify sheets, including grid data filtering and developer metadata operations \n Requires Google Workspace authentication via the shared gws prerequisite; use gws schema to inspect method parameters bef

OS-level desktop and window screenshot capture with flexible save locations and region selection. \n \n Supports full-screen, app/window, active-window, and pixel-region captures across macOS, Linux, and Windows \n Automatically routes to OS default screenshot location, user-specified paths, or temp directory based on context \n Includes platform-specific helpers (Python for macOS/Linux, PowerShell for Windows) with preflight permission checks on macOS to reduce repeated sandbox prompts \n Prior

Strip designs to their essence by removing unnecessary complexity and revealing core functionality. \n \n Analyzes complexity sources across information architecture, visual design, layout, interactions, and content to identify what can be removed or hidden \n Applies ruthless simplification strategies including progressive disclosure, element consolidation, color/typography reduction, and flattened component hierarchies \n Requires the frontend-design skill and its Context Gathering Protocol as

Build 3-5 year financial models with revenue projections, cost structures, and scenario planning for startups. \n \n Cohort-based revenue modeling with customer acquisition, retention, and ARPU inputs; supports SaaS, marketplace, e-commerce, and services business models \n Comprehensive cost structure breakdown across COGS, S&M, R&D, and G&A with fixed vs. variable categorization and scaling assumptions \n Cash flow analysis including monthly burn rate, runway calculation, and fun

Self-contained HTML playgrounds with live preview, interactive controls, and copyable prompt output. \n \n Includes five templates for common playground types: design decisions, data exploration, concept mapping, document critique, and code review \n Every playground features instant live preview, natural-language prompt generation that only mentions non-default choices, and a one-click copy button \n Built as single HTML files with no external dependencies, dark theme by default, and sensible p

Programmatic Langfuse data access and documentation lookup via CLI and web resources. \n \n Query and modify Langfuse data (traces, prompts, datasets, scores, sessions) using the langfuse-cli via npx with full REST API schema discovery \n Access current Langfuse documentation through three methods: structured index (llms.txt), individual markdown pages, and cross-doc search API \n Includes use-case-specific reference guides for instrumentation, prompt migration, user feedback capture, SDK upgrad

Comprehensive SEO and GEO performance reports combining rankings, traffic, backlinks, and AI visibility metrics. \n \n Aggregates data from multiple sources (analytics, search console, SEO tools, AI monitors) into executive summaries, detailed analyses, and visual presentations \n Generates 11-section reports covering organic traffic, keyword rankings, domain authority, content quality (CORE-EEAT), backlinks, and GEO/AI citation performance \n Includes period-over-period trend analysis, benchmar

Library-grade Vue composables that accept plain values, refs, or getters as inputs. \n \n Use MaybeRefOrGetter for read-only inputs (computed-friendly) and MaybeRef for writable two-way inputs; normalize with toValue() or toRef() inside reactive effects \n Normalize inputs using toRef() for watcher sources and toValue() for non-reactive resolution to keep behavior predictable across different input types \n Avoid MaybeRefOrGetter when parameters are callbacks, predicates, or comparators to preve

Structured task planning with user stories, sprint organization, and backlog prioritization for agile teams. \n \n Provides templates for writing INVEST-compliant user stories with acceptance criteria, technical notes, estimation, and dependencies \n Includes epic decomposition patterns breaking features into stories and granular tasks with time estimates \n Supports MoSCoW prioritization (Must/Should/Could/Won't Have) and sprint planning with capacity planning and Definition of Done checklists

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