Productivity & Workflow Claudeスキル

Parallel Agent Dispatch

Accelerates debugging and task completion by orchestrating multiple independent agents to work concurrently on separate problem domains.

Incentive Prompting Optimizer

Enhances AI response quality by 45-115% through research-backed techniques like expert personas and stakes-based framing.

Ralph Wiggum Continuous Iteration

Automates repetitive development tasks through a continuous iteration loop with clear, verifiable completion criteria.

Invoice Organizer

Automates the organization of messy invoices and receipts by extracting key data, renaming files consistently, and sorting them into logical tax-ready folders.

Requirement Analysis & Implementation Workflow

Standardizes the software development lifecycle within Claude Code through systematic analysis, multi-agent exploration, and structured code reviews.

Incentive Prompting Optimizer

Enhances AI response quality by up to 115% using research-backed techniques like persona assignment and stakes-based framing.

Google Sheets Updater

Updates and appends data to Google Sheets spreadsheets directly via terminal commands.

Prompt Refinement & TCRO Structuring

Transforms vague user inputs into highly structured, high-performance specifications using the TCRO framework and phase-specific clarification.

Parallel Execution Orchestrator

Executes multiple Claude Code agents simultaneously using wave-based orchestration and automated environment isolation.

Comprehensive Research Orchestrator

Orchestrates multi-phase research across codebases and documentation to provide evidence-backed insights and architectural synthesis.

Faber Build

Implements technical specifications through autonomous, phase-based code execution with deep planning and semantic commits.

Continuous Development Loop (Ralph Wiggum)

Automates repetitive development tasks through a continuous iteration loop with objective completion criteria and safety caps.

AI Prompt Refinement & TCRO Structurer

Transforms ambiguous user input into high-precision, structured TCRO prompts to maximize AI output quality and consistency.

Ralph Wiggum Continuous Iteration

Implements a continuous iteration loop pattern for autonomous development and automated verification tasks.

Ralph Wiggum Continuous Iteration

Automates repetitive development tasks through a continuous iteration loop with objective completion criteria and safety guards.

AI Prompt Refinement

Transforms vague user inputs into highly structured, actionable TCRO prompts to maximize AI response quality and accuracy.

Prompt Refinement

Transforms vague user inputs into structured, high-quality prompts using the TCRO framework to maximize AI performance and consistency.

Writing Plans

Generates comprehensive, test-driven implementation plans that break down complex requirements into bite-sized, executable tasks.

Comprehensive Research Orchestrator

Conducts deep, multi-phase investigations across codebases and documentation using specialized AI agents for evidence-based decision making.

Prompt Refinement TCRO

Transforms vague user inputs into structured, high-performance prompts using the TCRO framework and phase-specific clarification.

Prompt Refinement & TCRO Structurer

Transforms vague user inputs into structured TCRO specifications to maximize AI output quality and consistency.

Incentive Prompting

Enhances AI response quality by 45-115% using research-backed prompting techniques like expert personas and step-by-step reasoning.

Ralph Wiggum Continuous Iteration

Automates repetitive development tasks using a systematic while-loop pattern with objective completion criteria.

Comprehensive Research

Orchestrates multi-phase investigations across codebases, documentation, and external sources to generate evidence-based insights.

AI Prompt Refiner & TCRO Structurer

Transforms vague user input into highly structured, TCRO-formatted prompts to maximize AI output quality and consistency.

Text Cleanup & Slop Removal

Removes AI-generated verbosity, conversational fillers, and redundant comments to improve information density and clarity.

Copilot Repo Initializer

Bootstraps repository-specific GitHub Copilot instructions and configurations to optimize coding agent performance with minimal noise.

Context Optimization & Strategic Compact

Optimizes Claude Code's context window usage through token budgeting, efficient CLAUDE.md structuring, and advanced conversation management.

RFC Specification Writer

Generates structured, objective technical Request for Comments (RFC) documents and architectural proposals with rigorous trade-off analysis.

Project Artifact Cleaner

Maintains a clean workspace by organizing project artifacts and safely removing temporary development files.