'codebase' 검색 결과

Turn a broad coding request into a concrete work plan grounded in the codebase. After user approval, it documents affected files, decisions, dependencies, and verification steps so a separate worker can carry out the implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning a large feature before coding
• Turning a vague request into defined tasks
• Preparing an implementation handoff

Inspect a codebase and create concise project instructions for Claude Code. Review existing guidance, separate team rules from personal preferences, and propose reusable skills or hooks that run commands automatically.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up project instructions for Claude Code
• Review and improve an existing CLAUDE.md
• Separate personal preferences from team rules

Understand a codebase before searching for bugs or vulnerabilities. This skill examines functions line by line, documents assumptions and state changes, and traces calls across modules to build an evidence-based picture of system behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding a codebase before a security audit
• Tracing data and state changes across function calls
• Documenting assumptions for an architecture review

Assess Airflow Improvement Proposals by comparing Confluence specifications with pull requests, commits, and codebase files. Produce evidence-backed progress reports showing delivered items, remaining work, and specification updates needed across one or more proposals.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check implementation progress for an Airflow proposal
• Compare specification deliverables with shipped code
• Compile a progress report across multiple proposals

Scan a codebase or selected changes for security issues, then request targeted patch files for findings. Independent agents verify reported issues and proposed fixes, while you review and apply patches yourself.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing an entire repository or a selected area
• Checking security issues in branch or pull request changes
• Scanning a single commit

Scan a codebase to create project documentation and project-specific agent instructions. The first run examines the whole project; later runs focus on changed files, with human confirmation required before updating agent instructions after architectural changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create documentation when starting agent-assisted development
• Refresh project documentation after architecture changes
• Check changed code for documentation drift

Generate a customizable AI prompt for finding representative examples in an existing codebase. Configure analysis depth, categories, and snippets so GitHub Copilot can produce exemplars.md with real file references and explanations of coding conventions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collecting existing code examples for team guidance
• Documenting patterns to follow when adding features
• Configuring the depth and format of a code example guide

Create a copilot-instructions.md file from an existing codebase. Identify technology versions, architecture, naming conventions, and testing practices, then turn observed patterns into project-specific guidance for GitHub Copilot without introducing unsupported assumptions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create GitHub Copilot instructions for an existing project
• Document version compatibility requirements
• Capture established coding and testing conventions

Review an AI agent codebase against ten OWASP ASI security risk areas. Examine tool permissions, input validation, identity checks, audit logs, and other controls, then summarize coverage, gaps, and recommended improvements in a report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing agent security before production deployment
• Mapping existing controls to ten security risk areas
• Preparing findings for a security review or audit

Explore local or remote repositories with Repomix CLI to understand their structure, locate related code across files, and review file counts and estimated tokens, the units AI models use to process text.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding an unfamiliar project's structure
• Locating authentication code and API endpoints
• Checking file counts and estimated AI tokens

Audit a codebase before production deployment across eight areas, including security, databases, dependencies, and AI usage. Receive findings with file locations, manual checklists, and a release verdict that blocks shipping when critical issues remain.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check an application before its first production release
• Find security and database issues before deployment
• Review backup restoration and rollback readiness

Build or update a Figma design system from an existing codebase. Organize shared design values, light and dark themes, reusable components, and documentation through staged reviews, then check consistency, accessibility, and links between design and code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating shared color and spacing variables from code
• Setting up light and dark themes
• Building a reusable component library with documentation

Learn the complete OpenSpec workflow through a small task in an actual codebase. The agent explains each stage while creating a proposal, specifications, design, and tasks, then implements the change and archives its records.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Learning OpenSpec through a real code change
• Understanding proposals, specifications, designs, and tasks
• Practicing a complete change cycle with a small fix

Audit saved project learnings against the current codebase to find outdated explanations, overlapping documents, and contradictions. Maintain the documentation with evidence-based updates, consolidation, replacement, or deletion, and deliver a per-document report with committed changes when applicable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking saved learnings against current code
• Consolidating overlapping knowledge documents
• Correcting outdated paths and links

Delegate checks for AGENTS.md rule violations to a dedicated agent. It scans the codebase, fixes high-impact issues in a separate working copy, runs full validation, and creates a pull request, tracking progress across runs through memory.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking code for AGENTS.md rule violations
• Prioritizing high-impact rule violations for fixes
• Checking compliance within a chosen focus area

Collect deliberate shortcuts marked with ponytail: comments into a file-by-file debt report. Show each shortcut’s stated limit and revisit trigger, flag missing triggers, and summarize counts without changing the codebase.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Listing deliberately deferred code improvements
• Finding shortcuts without revisit triggers
• Reviewing limits and upgrade paths by file

Explore how a public GitHub repository is organized using GitDiagram. Get explanations tied to component names and source paths, an interactive architecture diagram, and a narrated explainer video when one is available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing to work in an unfamiliar public codebase
• Understanding major components and their source paths
• Exploring component connections in an interactive diagram

Review and simplify the ego-lite codebase by finding unused code, duplicated state, and unnecessary layers. The skill checks real callers and API requirements, explains behavior changes, and coordinates implementation, tests, and documentation updates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Audit unused code and APIs
• Consolidate duplicated state or processing
• Review unnecessary compatibility layers

Coordinate large code migrations in reviewable batches. The agent changes local files, while the Composio CLI connects tracking issues, pull requests, and automated checks so each batch can be tested and reviewed before proceeding.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Upgrading frameworks across many files
• Renaming an API throughout a monorepo
• Migrating configuration files or test tools

Generate or update up to nine project documentation files using agents that inspect the code directly. Check documentation against the implementation, review existing files without writing changes, or explicitly regenerate all documentation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create project documentation from the codebase
• Update documentation after implementation changes
• Check existing documentation without writing files

Review medium to large code changes using checks selected for the actual patch. Analyze the change and surrounding code, assign focused reviews by function, file, or feature, and combine findings with locations, confidence levels, and supporting evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing patches of roughly 50 to 1,000 lines
• Checking risks specific to a changed feature
• Reviewing changes alongside callers and related implementations

Review the current codebase for ignored errors, embedded credentials, unused exports, and obvious type-safety gaps. Receive a report ordered by severity, with file and line references, while all source files remain unchanged.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Run a quick code quality review
• Check for embedded keys or passwords
• Find missing error handling and unsafe type usage

Run an AI vulnerability scan on uncommitted changes, changes against main, or an entire codebase. Filter candidate files, investigate potential security issues, and review findings with severity ratings, with options to revalidate and export results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking uncommitted changes for vulnerabilities
• Reviewing security issues in changes against main
• Scanning an existing codebase

Find other occurrences of a known bug across a codebase by tracing its root cause. Gradually broaden search patterns, assess matching candidates, assign severity, and document findings with rules to help prevent recurrence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding similar issues after discovering a vulnerability
• Building CodeQL or Semgrep queries from a known bug
• Checking whether similar code shares the same root cause