claude-code-course
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vibe-coder
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gh
GitHub CLI (gh) for repository management, rulesets, releases, PRs, and issues. This skill is triggered when the user says things like "create a GitHub PR", "list GitHub issues", "set up branch protection", "create a ruleset", "configure GitHub rulesets", "create a GitHub release", "clone this repo", or "manage GitHub repository settings".
jira-cli
Manage Jira tickets from the command line using jira-cli. Contains essential setup instructions, non-interactive command patterns with required flags (--plain, --raw, etc.), authentication troubleshooting, and comprehensive command reference. This skill is triggered when the user says things like "create a Jira ticket", "list my Jira issues", "update Jira issue", "move Jira ticket to done", "log time in Jira", "add comment to Jira", or "search Jira issues". IMPORTANT - Read this skill before running any jira-cli commands to avoid blocking in interactive mode.
jira-wiki
Jira Wiki Markup (Text Formatting Notation) for formatting issue descriptions, comments, and custom fields. NOT Markdown—Jira uses different syntax. Use when formatting Jira text, creating tables/panels/code blocks in Jira, linking users/issues/attachments, writing Jira templates, or when any Jira formatting question arises. Triggers include "Jira markup", "Jira formatting", "Jira table", "Jira code block", "Jira panel", "link in Jira", "format Jira comment/description", "Jira wiki syntax".
jj-vcs
Jujutsu (jj) is a powerful Git-compatible version control system with innovative features like automatic rebasing, working-copy-as-a-commit, operation log with undo, and first-class conflict tracking. This skill is triggered when the user says things like "use jj", "run jj commands", "jujutsu version control", "migrate from git to jj", "jj rebase", "jj squash", "jj log", or "help with jj workflow".
just
just is a handy command runner for saving and running project-specific commands. Features include recipe parameters, .env file loading, shell completion, cross-platform support, and recipes in arbitrary languages. This skill is triggered when the user says things like "create a justfile", "write a just recipe", "run just commands", "set up project automation with just", "understand justfile syntax", or "add a task to the justfile".
llm
Access and interact with Large Language Models from the command line using Simon Willison's llm CLI tool. Supports OpenAI, Anthropic, Gemini, Llama, and dozens of other models via plugins. Features include chat sessions, embeddings, structured data extraction with schemas, prompt templates, conversation logging, and tool use. This skill is triggered when the user says things like "run a prompt with llm", "use the llm command", "call an LLM from the command line", "set up llm API keys", "install llm plugins", "create embeddings", or "extract structured data from text".
lola-modules
Create and manage Lola modules for multi-assistant AI context distribution. Use when building portable AI skills with multi-assistant support (Claude Code, Cursor, Gemini CLI). This skill is triggered when users say "create a lola module", "build a lola skill", "write a module.yml", "add slash commands to lola", or "distribute skills to multiple assistants".
mermaid
Generate diagrams and flowcharts from mermaid definitions using the mermaid-cli (mmdc). Supports themes, custom CSS, and various output formats including SVG, PNG, and PDF. Mermaid supports 20+ diagram types including flowcharts, sequence diagrams, class diagrams, state diagrams, entity relationship diagrams, user journeys, Gantt charts, pie charts, quadrant charts, requirement diagrams, GitGraph, C4 diagrams, mindmaps, timelines, ZenUML, Sankey diagrams, XY charts, block diagrams, packet diagrams, Kanban boards, architecture diagrams, radar charts, and treemaps. This skill is triggered when the user says things like "create a diagram", "make a flowchart", "generate a sequence diagram", "create a mermaid chart", "visualize this as a diagram", "render mermaid code", or "create an architecture diagram".
parakeet
Convert audio files to text using parakeet-mlx, NVIDIA's Parakeet automatic speech recognition model optimized for Apple's MLX framework. Run via uvx for on-device speech-to-text processing with high-quality timestamped transcriptions. Ideal for podcasts, interviews, meetings, and other audio content. This skill is triggered when the user says things like "transcribe this audio", "convert audio to text", "transcribe this podcast", "get text from this recording", "speech to text", or "transcribe this wav/mp3/m4a file".
piper
Convert text to speech using Piper, a fast, local, neural text-to-speech system with natural sounding voices. This skill is triggered when the user says things like "convert text to speech", "text to audio", "read this aloud", "create audio from text", "generate speech from text", "make an audio file from this text", or "use piper TTS".
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends an AI agent's capabilities with specialized knowledge, workflows, or tool integrations.
yt-dlp
Download audio and video from thousands of websites using yt-dlp. Feature-rich command-line tool supporting format selection, subtitle extraction, playlist handling, metadata embedding, and post-processing. This skill is triggered when the user says things like "download this video", "download from YouTube", "extract audio from video", "download this playlist", "get the mp3 from this video", "download subtitles", or "save this video locally".
td-ngram-splitter
N-gram generation for text preprocessing
td-npath
Path analysis for sequential event patterns
td-onehot-encoding
Categorical variable encoding using TD_OneHotEncodingFit and Transform
td-outlier-detection
Outlier detection and handling using TD_OutlierFit
td-pacf
Partial auto-correlation analysis for direct lag relationships
td-parameter-estimation
Advanced parameter estimation and optimization for UAF models
td-plot
Time series visualization and diagnostic plotting utilities
td-portman
Ljung-Box portmanteau tests for model diagnostics and residual analysis
td-powerspec
Power spectrum analysis for frequency domain insights and periodicity detection
td-random-forest
Random forest ensemble classifier for high-accuracy classification
td-regression-evaluator
Comprehensive regression model evaluation using TD_RegressionEvaluator
td-resample
Signal resampling and interpolation for rate conversion
td-scale-fit
Data scaling and normalization using TD_ScaleFit and TD_ScaleTransform
td-seasonal-decompose
Seasonal pattern decomposition and analysis
td-sessionize
Session analysis and user journey tracking
td-simple-impute
Missing value imputation using TD_SimpleImputeFit
td-smoothing
Signal smoothing and noise reduction techniques
td-spectral-density
Power spectral density estimation for frequency content analysis
td-stationarity-test
Statistical tests for time series stationarity (ADF, KPSS, PP tests)
td-svm
Support Vector Machine for linear and non-linear classification
td-tfidf
Term Frequency-Inverse Document Frequency for text analysis
td-train-test-split
Data splitting for model validation using TD_TrainTestSplit
td-vector-distance
Vector distance calculations for similarity analysis
td-window
Signal windowing for spectral analysis and leakage reduction
control-sessions
Control active sessions by terminating problematic sessions, managing runaway queries, and handling blocking situations
manage-queues
Manage delayed request queues including workload, system, and utility queues to release blocked requests or abort unnecessary items
manage-workloads
**Autonomously create** filters, throttles, and classification rules to implement new workloads or manage workload lifecycle in response to changing operational needs
monitor-queries
Track query execution using real-time resources, analyze query bands, access query logs, and identify performance patterns across the Teradata system
monitor-resources
Monitor AMP processor load, system physical resources, and capacity using real-time resources to track system health and identify performance bottlenecks
monitor-sessions
Monitor active Teradata sessions using real-time resources, view SQL execution details, identify blocking issues, and optionally take control actions
monitor-workloads
Monitor workload definitions, distribution, and TASM statistics using real-time resources to understand classification effectiveness and workload performance
analyze-performance
Analyze system performance using throttle statistics, query logs, and resource metrics to identify bottlenecks and optimization opportunities
optimize-throttles
Analyze throttle behavior, recommend optimal configurations, and autonomously create/modify throttles to balance resource allocation and meet performance SLAs
tune-workloads
Analyze workload classification and **autonomously configure** classification rules, filters, and priorities to improve accuracy and meet business requirements
td-acf
Auto-correlation analysis for time series dependency and pattern detection
td-arima-forecast
ARIMA-based time series forecasting for trend and seasonal predictions
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