productivity▌

Design product onboarding that gets users to their aha moment in the first 30 seconds. \n \n Focus intensely on the immediate post-signup experience as the primary driver of word-of-mouth growth and long-term retention \n Remove friction between signup and core value by identifying and eliminating invisible blockers that prevent users from experiencing product features \n Apply game design principles like progressive disclosure and reward mechanics to guide users toward meaningful action rather

Stay focused on core problems, ship faster, and avoid bloated products through disciplined scope management. \n \n Provides a five-step decision framework (validate problem, check alignment, measure impact, assess complexity, gut check) to evaluate every feature request before building \n Includes scope management rules: define your MVP upfront, track scope changes like code, apply a 48-hour waiting period for new requests, and use budget-based trade-offs to prevent additions \n Offers templates

Create animated GIFs optimized for Slack with composable animation primitives and built-in validators. \n \n Provides 15+ animation primitives (shake, bounce, spin, pulse, fade, zoom, explode, wiggle, slide, flip, morph, move, kaleidoscope) that compose freely for custom effects \n Includes validators for Slack's strict size limits (2MB for messages, 64KB for emoji) and dimension requirements, with optimization strategies for each constraint \n Offers helper utilities for GIF assembly, text rend

Answers: "What DeFi positions does this wallet have across protocols?"

Framework extensions through published npm packages, local modules, and runtime/server integrations. \n \n Covers three module types: published npm packages (@nuxtjs/, nuxt-), local project modules in the modules/ directory, and inline hooks in nuxt.config.ts \n Provides defineNuxtModule patterns, Kit utilities, and hook system for extending components, composables, plugins, API routes, and middleware \n Includes E2E testing strategies, npm publishing workflows, and copy-paste CI/CD templates fo

Open source intelligence techniques for CTF challenges using public data sources. \n \n Covers social media OSINT (Twitter/X user tracking, Tumblr investigation, BlueSky API, Discord), username enumeration across 741+ platforms, and Unicode homoglyph steganography detection \n Includes geolocation methods: reverse image search, Street View panorama matching, road sign OCR, MGRS/Plus Code conversion, and infrastructure mapping via OpenRailwayMap \n Provides web reconnaissance: Google dorking with

Query Morpho Blue deployment metadata and vault snapshots via the Grimoire CLI. \n \n Three command categories: info (general metadata), addresses (contract addresses by chain), and vaults (filterable vault data with APY and TVL) \n Supports --format spell output to emit snapshot blocks with provenance fields ( snapshot_at , snapshot_source ) and APY data for spell parameters \n APY values are decimal rates (e.g., 0.0408 for 4.08%); include both decimal and percent display when reporting \n Ship

Secure HTTP networking and JSON handling for Flutter apps with background parsing support. \n \n Implements CRUD operations (GET, POST, PUT, DELETE) using the http package with safe URL construction via Uri.https() and strict status code validation \n Provides strongly typed JSON serialization and deserialization using Dart 3 pattern matching with factory constructors and toJson() methods \n Offloads large JSON parsing to background isolates via compute() to prevent UI jank on payloads exceeding

Write-time code quality enforcement with auto-formatting, linting, and Claude-powered subprocess fixes on every file edit. \n \n Three-phase architecture: silent auto-formatting, violation collection, and tiered model routing (Haiku for style, Sonnet for complexity, Opus for types) to fix unfixable issues \n Supports Python, TypeScript, Shell, YAML, JSON, TOML, Markdown, and Dockerfile with 20+ linters including ruff, biome, shellcheck, and hadolint \n Config protection via PreToolUse and Stop h

Architectural patterns and guardrails for building reliable autonomous agents that start constrained and earn autonomy through proven reliability. \n \n Covers three core agent loop patterns: ReAct (alternating reasoning and action), Plan-Execute (separated planning and execution phases), and Reflection (self-evaluation and iterative improvement) \n Emphasizes guardrails-first approach with hard cost limits, step count reduction, and least-privilege API access to prevent runaway behavior \n Iden