productivity▌

IRON LAW: Every line in a skill must justify its token cost. If it doesn't make the model's output better, more consistent, or more reliable — cut it.

Use this skill when the user needs deployment orchestration: dry-run validation, targeted or manifest-based deploys, CI/CD workflow advice, scratch-org management, failure triage, or safe rollout sequencing for Salesforce metadata.

Use this skill when the real question is "Can my app be ready to submit?" and then guide the user through the shortest path to a clean App Store submission, especially for first-time releases.

Comprehensive skill for automating LinkedIn marketing and B2B lead generation.

Complete workflow for building RAG systems from embedding selection through evaluation and optimization. \n \n Covers eight sequential phases: requirements analysis, embedding selection, vector database setup, chunking strategy, retrieval implementation, LLM integration, caching, and evaluation \n Includes actionable steps for each phase with specific skills to invoke and copy-paste prompts for agent commands \n Addresses core RAG concerns: embedding quality, vector indexing, chunk overlap handl

Use this skill when the user needs root-cause analysis from debug logs: governor-limit diagnosis, stack-trace interpretation, slow-query investigation, heap / CPU pressure analysis, or a reproduction-to-fix loop based on log evidence.

Complete Polymarket integration covering prediction markets, REST API, trading, and real-time WebSocket data streaming. \n \n Supports six WebSocket topic categories: activity (trades, orders), comments (with reactions), RFQ events, crypto price feeds, authenticated user order/trade updates, and market-level price and orderbook data \n Includes TypeScript client library with topic-based subscriptions, dynamic filter support, and initial data dumps on connection \n Covers REST API for market disc

Version: 2.0 Purpose: Deploy and manage services on Elestio DevOps platform Status: Ready to use Last Updated: 2026-02-19

A systematic approach to building a scalable, predictable B2B sales machine. Pioneered the outbound prospecting system that helped Salesforce add $100M in recurring revenue.

Flutter development with Riverpod state management, Freezed immutable models, go_router navigation, and mocktail testing. \n \n Riverpod provider ecosystem covers simple values, mutable state, async operations, streams, and parameterized data with family modifiers; AsyncValue pattern handles loading, error, and data states uniformly \n Freezed generates immutable data classes and union types for sealed state modeling; integrates with JSON serialization via json_serializable \n go_router provides