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Found 97 Skills
Interactive tech/code learning companion. Teaches concepts through their evolution: what existed before, what problems that caused, how current solutions work, real code impact. Use when user wants to learn/study/revise any tech topic (language, framework, tool, concept). Triggers: "learn X", "teach me X", "study X", "explain X from scratch", "revise X", "continue learning", or any request to understand a tech concept deeply.
Process multiple files in parallel with aggregation and progress tracking. Use for batch file operations, directory scanning, ZIP handling, and parallel data processing with 2-3x performance improvement.
Implement feature tasks using AI agents in logical batches, track completion status, identify blockers, and manage task handoffs. Use when you have an execution sequence and need AI agents to build tasks while maintaining progress tracking.
Analyze existing PRD to identify and recommend the single highest-priority task to work on next
Execute approved implementation plans from scratchpad. Use when implementing a previously planned feature.
Universal execution engine consuming .task/*.json directory format. Serial task execution with convergence verification, progress tracking via execution.md + execution-events.md.
Generate clear, accurate performance reports for investment portfolios with benchmarks, attribution, and risk dashboards. Use when the user asks about portfolio performance reports, return summaries, benchmark comparison, risk dashboards, goal progress tracking, or GIPS-compliant reporting. Also trigger when users mention 'quarterly report', 'how did my portfolio do', 'time-weighted vs money-weighted return', 'annualized returns', 'net-of-fee performance', 'rolling Sharpe', or ask how to present investment results to clients.
This skill should be used when the user has a written implementation plan to execute in a separate session with review checkpoints.
HoloBuilder integration. Manage data, records, and automate workflows. Use when the user wants to interact with HoloBuilder data.
Monitor a Coval run's progress with live updates. Use when user wants to check run status or wait for completion.
Analyze sports data, identify exercise patterns, evaluate fitness progress, and provide personalized training recommendations. Supports correlation analysis with chronic disease data.
Interactive tutorial that guides engineers through building their own coding agent (agentic loop) from scratch using raw HTTP calls to an LLM API. Supports Gemini, OpenAI (and compatible endpoints), and Anthropic. Supports TypeScript, Python, Go, and Ruby. Detects progress automatically. Use when someone says "build an agent", "teach me agents", or "/build-agent".