Top Rated
The most starred skills loved by the community. Quality guaranteed!
list-files
by christopheryeo
Produces a structured, numbered Drive file catalog with summaries, folder context, metadata, and direct links (embedded in file names) so other skills can embed polished file tables in their outputs.
Commander.js Patterns
by vanman2024
Commander.js CLI framework patterns including Command class, options, arguments, nested subcommands, and Option class usage. Use when building Node.js CLIs, implementing Commander.js commands, creating TypeScript CLI tools, adding command options/arguments, or when user mentions Commander.js, CLI commands, command options, or nested subcommands.
argparse-patterns
by vanman2024
Standard library Python argparse examples with subparsers, choices, actions, and nested command patterns. Use when building Python CLIs without external dependencies, implementing argument parsing, creating subcommands, or when user mentions argparse, standard library CLI, subparsers, argument validation, or nested commands.
yargs-patterns
by vanman2024
Advanced yargs patterns for Node.js CLI argument parsing with subcommands, options, middleware, and validation
fire-patterns
by vanman2024
Auto-generated CLI patterns using Google Fire with class-based structure, docstring parsing, and nested classes. Use when building Python CLI applications, creating Fire CLIs, implementing auto-generated commands, designing class-based CLIs, or when user mentions Fire, Google Fire, CLI generation, docstring commands, nested command groups, or Python command-line tools.
clap-patterns
by vanman2024
Modern type-safe Rust CLI patterns with Clap derive macros, Parser trait, Subcommand enums, validation, and value parsers. Use when building CLI applications, creating Clap commands, implementing type-safe Rust CLIs, or when user mentions Clap, CLI patterns, Rust command-line, derive macros, Parser trait, Subcommands, or command-line interfaces.
cli-patterns
by vanman2024
Lightweight Go CLI patterns using urfave/cli. Use when building CLI tools, creating commands with flags, implementing subcommands, adding before/after hooks, organizing command categories, or when user mentions Go CLI, urfave/cli, cobra alternatives, CLI flags, CLI categories.
gluegun-patterns
by vanman2024
Gluegun CLI toolkit patterns for TypeScript-powered command-line apps. Use when building CLI tools, creating command structures, implementing template systems, filesystem operations, HTTP utilities, prompts, or plugin architectures with Gluegun.
cli-testing-patterns
by vanman2024
CLI testing strategies and patterns for Node.js (Jest) and Python (pytest, Click.testing.CliRunner). Use when writing tests for CLI tools, testing command execution, validating exit codes, testing output, implementing CLI test suites, or when user mentions CLI testing, Jest CLI tests, pytest CLI, Click.testing.CliRunner, command testing, or exit code validation.
inquirer-patterns
by vanman2024
Interactive prompt patterns for CLI tools with text, list, checkbox, password, autocomplete, and conditional questions. Use when building CLIs with user input, creating interactive prompts, implementing questionnaires, or when user mentions inquirer, prompts, interactive input, CLI questions, user prompts.
click-patterns
by vanman2024
Click framework examples and templates - decorators, nested commands, parameter validation. Use when building Python CLI with Click, implementing command groups, adding CLI options/arguments, validating CLI parameters, creating nested subcommands, or when user mentions Click framework, @click decorators, command-line interface.
cobra-patterns
by vanman2024
Production-ready Cobra CLI patterns including command structure, flags (local and persistent), nested commands, PreRun/PostRun hooks, argument validation, and initialization patterns used by kubectl and hugo. Use when building Go CLIs, implementing Cobra commands, creating nested command structures, managing flags, validating arguments, or when user mentions Cobra, CLI development, command-line tools, kubectl patterns, or Go CLI frameworks.
typer-patterns
by vanman2024
Modern type-safe Typer CLI patterns with type hints, Enums, and sub-apps. Use when building CLI applications, creating Typer commands, implementing type-safe CLIs, or when user mentions Typer, CLI patterns, type hints, Enums, sub-apps, or command-line interfaces.
oclif-patterns
by vanman2024
Enterprise CLI patterns using oclif framework with TypeScript. Use when building oclif CLIs, creating plugins, implementing commands with flags/args, adding auto-documentation, testing CLI commands, or when user mentions oclif, enterprise CLI, TypeScript CLI, plugin system, or CLI testing.
recent-files
by christopheryeo
Discovers and lists recently modified or created files in Google Drive with professional metadata and summaries. Returns a structured table including file names, types (Docs, Sheets, PDFs, etc.), modification timestamps, 30-word summaries, owners, and direct Drive links. Defaults to the last 24 hours but accepts custom timeframes (e.g., "last 3 hours" or "last week"). Sorts by most recent activity and highlights key changes like new folders, shared file updates, and SNMG18 Meeting Minutes modifications. Use for tracking file changes, finding recent work, or monitoring Drive activity.
starred-email
by christopheryeo
Retrieves the user's starred Gmail emails, summarizing each message with metadata, action notes, and direct links while honoring optional filters for timeframe, keywords, or participants.
testing
by williaby
Automated test generation, review, and execution for pytest-based projects. Auto-activates on keywords test, coverage, pytest, unittest, integration test, e2e, performance, benchmark, security testing. Routes to specialized testing workflows based on user intent.
cl-code-visualizer
by h20hg
Convert Claude Code, VS Code, and Visual Studio Code chat JSON files (JSONL format) into professional HTML visualizations. Use when users need to visualize, view, export, or convert Claude Code conversation logs (.claude/chats/, .claude/projects/) into readable HTML with terminal-style aesthetics, syntax highlighting, collapsible tool results, and search functionality. Handles chat exports, conversation logs, JSONL files, and Claude AI chat history.
new-product
by christopheryeo
Generate comprehensive Enterprise AI Product White Papers using existing product documentation from Google Drive as source material. Use when users request "create a product white paper", "generate a white paper for [product]", or similar requests for enterprise-grade product documentation for SaaS, hardware, or service offerings.
topic-emails
by christopheryeo
Retrieves Gmail threads that match a requested topic, applies optional timeframe and label filters, and outputs a prioritized digest with summaries, key correspondents, and direct links for follow-up.
new-presentation
by christopheryeo
Create powerful presentations using Steve Jobs's 3-Second Rule methodology. Applies the Billboard Test principles for minimal cognitive load, maximum visual impact, and elegant slide design. Use when creating product launches, pitches, explanations, or any live presentation that requires high audience retention and visual clarity. Automatically integrates with Claude's PPTX skill to generate professional PowerPoint files and always applies the Sentient Brand Guidelines skill to ensure consistent branding.
new-proposal
by christopheryeo
Outline the lightweight process for turning discovery inputs into a first-draft Sentient proposal.
document-creation
by campbellmcgregor
Create structured documents from conversations, summaries, or content in open formats (markdown, PDF, text). Use when the user requests document creation, report generation, content export, conversation summaries, or structured documentation. Triggers include "create a document", "make a report", "summarize this conversation", "export to PDF/markdown", or any request to formalize content into a document. Works independently or integrates with design-assistant skill for polished visual output.
agentic-development
by campbellmcgregor
Conversational guidance for building software with AI agents, covering workflows, tool selection, prompt strategies, parallel agent management, and best practices based on real-world high-volume agentic development experience. Use this skill when users ask about setting up agentic workflows, choosing models, optimizing prompts, managing parallel agents, or improving agent output quality.