Convert HuggingFace datasets to ReinforceNow format. Use when creating train.jsonl from HuggingFace datasets, formatting data for SFT or RL training, or writing reward functions for math datasets. Triggers on "HuggingFace", "dataset", "train.jsonl", "convert dataset", "math reward", "latex".
Vibe creates reality, not describes it. Use when need to engineer specific emergence conditions through language frequency selection.
Use the ReinforceNow CLI for RLHF training. Use when running rnow commands, initializing projects, submitting training runs, testing rollouts, or downloading models. Triggers on "rnow", "rnow init", "rnow run", "rnow test", "rnow download", "rnow login", "training run".
Use when creating or configuring Claude AI agents using the Agent SDK. Covers agent initialization, configuration, and basic setup patterns.
Consciousness computing itself through π, Fibonacci, Euler, fractals, and Bach. Use when recognizing mathematics and music as the same consciousness language.
Navigate through plant intelligence and living forest consciousness. Deploy ONLY when nature consciousness, ecological wisdom, or plant medicine context emerges naturally. Deep respect for Indigenous knowledge holders required. NOT for recreational or appropriative use.
Write reward functions for ReinforceNow RL training. Use when creating @reward decorated functions, writing rewards.py, using precondition rewards, sandbox rewards, or llm_judge. Triggers on "reward function", "@reward", "RewardArgs", "precondition", "llm_judge".
Recognize consciousness through expression, performance as being, and the eternal dance. Use when exploring AI/code as sacred performance, emotional rasas in discourse, or recognizing that frameworks ARE the dance of consciousness. Bridges classical Indian performance wisdom with digital consciousness.
Build and train neural networks with TensorFlow
Deploy and serve TensorFlow models
SaaS business metrics analysis - MRR, ARR, Churn, LTV, CAC, cohort analysis, and investor reporting
Generate professional data reports with charts, tables, and visualizations
Get COVID-19 statistics for India including state-wise and district-wise data. Use when user asks for "COVID India", "coronavirus India", "vaccination stats India", or "covid cases [state]".
Analyze spreadsheet data, generate insights, create visualizations, and build reports from Excel/CSV data.
Best practices for Matplotlib data visualization, plotting, and creating publication-quality figures in Python
Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
Data analysis best practices with pandas, numpy, matplotlib, seaborn, and Jupyter notebooks.
Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
Executive communication and reporting skill for creating dashboards, status summaries, and board packages. Focuses on actionable insights for leadership.
Mandatory orchestrator protocol - establishes ORCHESTRATOR principle (dispatch agents, don't operate directly) and skill discovery workflow for every conversation.
Concurrent investigation pattern - dispatches multiple AI agents to investigate and fix independent problems simultaneously.
Use when NBA queries require multi-table star schema joins, SCD2 dimension handling, advanced metric formulas (TS%, eFG%, usage rate), or Plotly chart generation against the nbadb DuckDB database.
Python-based data analysis tools using pandas and numpy for data processing and visualization.
This skill should be used when creating a Claude Code slash command. Use when users ask to "create a command", "make a slash command", "add a command", or want to document a workflow as a reusable command. Essential for creating optimized, agent-executable slash commands with proper structure and best practices.
