AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Governs Claude's behavior to prevent guessing by admitting uncertainty and offering users control over next steps.
Ensures code accuracy by fetching current library documentation through a token-efficient subagent workflow.
Ensures project instruction files stay current by enforcing a mandatory reflection and documentation update workflow.
Evaluates and implements code review feedback with technical rigor, prioritizing codebase reality over performative agreement.
Parses and analyzes personal financial transaction CSV exports to calculate account totals, detect internal transfers, and generate detailed spending breakdowns.
Generates comprehensive, publication-quality technical manuals infused with thematic storytelling and memorable metaphors using a multi-agent orchestration workflow.
Extends Claude's capabilities with multimodal analysis and real-time web access using the Gemini CLI.
Automates browser interactions, captures screenshots, and performs deep performance analysis using Puppeteer-based scripts.
Establishes a rigorous, four-phase methodology to identify root causes and implement reliable fixes for software defects.
Architect multi-agent fleet management systems using the O-Agent pattern and specialized agent templates.
Automates the lifecycle of technical specifications through multi-agent review and iterative refinement.
Creates and bootstraps isolated Git worktrees to enable parallel development and seamless context switching without branch stashing.
Diagnoses and resolves 3D rendering issues, performance bottlenecks, and asset pipeline failures in Three.js and React Three Fiber.
Automates Jira issue resolution using intelligent question-gathering and tiered multi-agent orchestration.
Generates sophisticated "Level 6" meta-prompts that automate the creation of high-quality, standardized prompts for Claude Code.
Automates Harness Code repository workflows, PR pipelines, and GitOps synchronization for AWS EKS deployments.
Analyzes Claude Code session transcripts to debug plugin behavior, optimize context usage, and trace tool execution flows.
Analyzes and prioritizes Jira tickets to streamline backlog management and development planning through automated insights.
Creates structured, self-updating plan files for complex projects to enable autonomous execution and phased progress tracking.
Generates minimal, surgical patch plans to resolve specific bugs and blockers without scope creep.
Coordinates and executes multi-phase project plans using persistent state tracking and sub-agent orchestration.
Optimizes AI context by implementing a just-in-time documentation loading system to prevent token waste and focus agents on relevant task data.
Automates the technical breakdown, subtask creation, and requirement enrichment for Jira issues to streamline development workflows.
Optimizes AI context management by systematically applying reduction and delegation strategies to prevent performance degradation.
Guides the selection of the optimal Claude model for custom agent tasks based on cost, speed, and reasoning requirements.
Builds custom Gemini CLI slash commands using TOML syntax to automate repetitive workflows and inject project-specific context.
Generates structured prompts and phase transitions for complex multi-agent orchestration workflows.
Designs sophisticated AI Developer Workflows (ADWs) that combine deterministic code with non-deterministic agents for automated development pipelines.
Guides users through installing Git and performing essential initial configuration across Windows, macOS, Linux, and WSL environments.
Master Git push operations with safety-first protocols for force pushes, tag management, and remote synchronization.
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