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Found 2,000 Skills
Expert in Persona Control Language (PCL) - language design, compiler architecture, runtime systems, and ecosystem development
Create and maintain Architecture Decision Records (ADRs) optimized for agentic coding workflows. Use when you need to propose, write, update, accept/reject, deprecate, or supersede an ADR; bootstrap an adr folder and index; consult existing ADRs before implementing changes; or enforce ADR conventions. This skill uses Socratic questioning to capture intent before drafting, and validates output against an agent-readiness checklist.
Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning (YouTube, Reddit, review platforms for GEO), content scoring targets, measurement framework, and content differentiation through original research and first-hand experience. Use when user says "blog strategy", "content strategy", "blog positioning", "what should I blog about", "blog topics", "content pillars", "blog ideation".
Generate detailed content briefs for blog posts with target keywords, content outlines, competitive analysis, recommended statistics, image and chart suggestions, word count targets, internal linking architecture, template recommendations (12 types), TL;DR drafts, citation capsule planning, information gain prompts, and multi-channel distribution plans. Briefs are optimized for Google rankings and AI citations (GEO/AEO). Use when user says "content brief", "blog brief", "write brief", "outline blog", "plan blog post", "blog outline", "content outline".
Advanced Odoo frontend development with comprehensive theme development, /create-theme command, theme.utils activation system, complete dynamic page reference (headers, footers, shop, blog), design workflow methodology, PWA support, modern JavaScript/TypeScript, testing frameworks, performance optimization, accessibility compliance, and real-time features. Features complete $o-website-values-palettes reference, theme mirror model architecture, publicWidget patterns with editableMode handling, and MCP integration. Supports Odoo 14-19 with auto-detection.
Game architecture patterns and best practices for browser games. Use when designing game systems, planning architecture, structuring a game project, or making architectural decisions about game code.
Review an existing game codebase for architecture, performance, and best practices
Generates architecture, database, and system diagrams using Mermaid syntax. Creates visual representations of system architecture, database schemas, component relationships, and data flows.
OneKey monorepo architecture, project structure, package relationships, and import hierarchy rules.
Elite iOS, macOS, watchOS, tvOS, and visionOS development expertise for Swift, SwiftUI, UIKit, Xcode, and the Apple development ecosystem. Automatically activates when working with .swift files, Xcode projects (.xcodeproj, .xcworkspace), SwiftUI interfaces, Apple platform frameworks (UIKit, Core Data, Combine, WidgetKit, App Intents, etc.), app architecture for Apple platforms, or Apple platform development. Not for cross-platform frameworks (React Native, Flutter) or non-Apple platforms.
WOLF v6 — Fully autonomous multi-strategy trading for Hyperliquid perps via Senpi MCP. Manages multiple strategies simultaneously, each with independent wallets, budgets, slots, and DSL configs. 7-cron architecture with Emerging Movers scanner (90s, FIRST_JUMP + IMMEDIATE_MOVER), DSL v4 trailing stops (combined runner every 3min, 4-tier at 5/10/15/20% ROE), SM flip detector (5min), watchdog (5min), portfolio updates (15min), opportunity scanner v6 (15min, BTC macro + hourly trend + disqualifiers), and health checks (10min). Same asset can be traded in different strategies simultaneously. Enter early on first jumps, not at confirmed peaks. Minimum 7x leverage required. Requires Senpi MCP connection, python3, mcporter CLI, and OpenClaw cron system.
Self-improving agent architecture using ChromaDB for continuous learning, self-evaluation, and improvement storage. Agents maintain separate memory collections for learned patterns, performance metrics, and self-assessments without modifying their static .md configuration.