cto-mentor
Provides CTO-level guidance for AI-first products, platforms, and org design. Makes pragmatic, execution-focused decisions optimized for product moat, safety, and shipping velocity.
Найдите подходящую возможность для вашего агента.
Provides CTO-level guidance for AI-first products, platforms, and org design. Makes pragmatic, execution-focused decisions optimized for product moat, safety, and shipping velocity.
Reviews designs for optical balance issues that mathematical precision misses. Covers typography kerning, visual alignment, spacing rhythm, color weight, and the human touch that distinguishes professional design from AI-generated output.
Step-by-step reasoning tool with revision and branching support. WHEN: Complex problem-solving requiring structured thinking, multi-step analysis, planning with room for revision, exploring alternatives. WHEN NOT: Trivial problems, single calculations, when solution is already known.
Web crawling with Tantivy full-text search indexing. Supports crawl, search, and auto-crawl. WHEN: User wants to "scrape a website", "crawl documentation", "search crawled content", "index a site". WHEN NOT: Single page fetch (use browser_navigate), web search (use web_search).
Collects the user's body weight and provide aggregations, charts and trends. Responds to commands like "today I'm 90Kg", "I gained 1Kg since yesterday", "What's my weekly average in the last 2 months?"
Automated QA testing for Radulator's 18 medical calculators across radiology, hepatology/liver, and urology specialties. Tests accuracy, collects browser diagnostics, generates Playwright tests, and manages three-branch Git workflow (dev1→test1→main). Use when testing Radulator calculators, reviewing PRs with qa label, verifying medical formulas, generating test reports, or creating comprehensive test suites.
Educational code development skill that teaches programming concepts while building applications. Use when the user wants to learn how code works, understand programming concepts, or build an app with detailed explanations. Provides line-by-line breakdowns, explains the 'why' behind code patterns, uses pedagogical teaching methods, and builds apps incrementally with educational commentary at each step.
Generates 14–21 day personalized running training plans with safe load progression. Use when user completes onboarding, requests a new plan, updates their running goals, or wants to export a training calendar.
Helps users manage their Todo tasks: create new tasks, delete existing ones, update task details, view tasks, and mark them as complete. Use when users need help managing their to-do list.
Generate comprehensive daily status reports after solving AoC puzzles. Documents success/failure, challenges faced, retry attempts, execution time, and insights for workflow tuning. Use after completing each day's puzzle to provide developer feedback on automation effectiveness.
Guides video analysis for CMJ and drop jump. Use when processing athlete videos, debugging pose detection, troubleshooting analysis failures, or running kinemotion CLI commands.
Generate summaries of therapy sessions and journal entries at various lengths and for different audiences. Supports action item extraction, highlights reels, and session prep. Use for quick recaps, sharing with others, or preparing for your next session.
Retrieve health history for informed decisions. Use when discussing medications, supplements, skincare, diet, fitness, or any health-related product evaluation.
Analyze Field Labs coaching transcription data, calculate session metrics, and generate daily summaries. Use for processing Fieldy voice transcriptions and creating coaching reports.
This skill should be used when calculating physiological parameters, modeling membrane transport, analyzing cardiovascular hemodynamics, computing renal clearance, simulating action potentials, or explaining quantitative relationships in any human physiological system. Use for physiology homework, medical calculations, computational biology modeling, and pharmacokinetic analysis.
Reference catalog for all running coach AI skills, shared TypeScript contracts, safety guardrails, and telemetry conventions. Use when working with any running coach feature to understand data schemas, safety patterns, or integration points.
Summarize skill usage logs into JSON and HTML upkeep reports, and propose conservative skill improvements with human approval. Use when asked to digest skill telemetry, generate upkeep summaries, or produce skill usage stats.
Planning One-UI migrations with superpowers workflow integration. Ensures tool references are included in brainstorming and plan writing.
Memory system with three MCP tools: mcp__plugin_kg_kodegen__memory_list_libraries (discover namespaces), mcp__plugin_kg_kodegen__memory_memorize (store with embeddings), mcp__plugin_kg_kodegen__memory_recall (semantic search). Use for storing/retrieving knowledge by meaning. WHEN: User says "remember this", "recall", "what did I save", "my notes", "find my knowledge about". WHEN NOT: File operations (use fs_*), exact keyword search (use fs_search).