Killer-Skills Review
Decision support comes first. Repository text comes second.
This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.
PowerPC 아키텍처 에뮬레이터에서 고급 커널 oops 분석 기능이 필요한 디버깅 에이전트에 적합 analyze-oops는 PearPC 커널 Oops를 분석하는 AI 코드 어시스턴트 스킬
이 스킬을 사용하는 이유
에이전트가 memdump.py와 disasm_ppc.pyなどの 스크립트를 사용하여 커널 oops를 디코딩하고 디어셈블링하여 Oops 출력과 pt_regs에 대한 심층 분석을 제공하고 Claude Code와 Cursorなどの AI 코딩 어시스턴트와 원활하게 협업할 수 있도록 합니다
최적의 용도
PowerPC 아키텍처 에뮬레이터에서 고급 커널 oops 분석 기능이 필요한 디버깅 에이전트에 적합
↓ 실행 가능한 사용 사례 for analyze-oops
! 보안 및 제한 사항
- Python 3 필요
- PowerPC 아키텍처 에뮬레이터만 해당
- memdump.py 및 disasm_ppc.py 등의 스크립트 필요
Why this page is reference-only
- - Current locale does not satisfy the locale-governance contract.
- - The underlying skill quality score is below the review floor.
Source Boundary
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Decide The Next Action Before You Keep Reading Repository Material
Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.
Start With Installation And Validation
If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Cross-Check Against Trusted Picks
If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Move To Workflow Collections For Team Rollout
When the goal shifts from a single skill to team handoff, approvals, and repeatable execution, move into workflow collections.
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FAQ & Installation Steps
These questions and steps mirror the structured data on this page for better search understanding.
? Frequently Asked Questions
What is analyze-oops?
PowerPC 아키텍처 에뮬레이터에서 고급 커널 oops 분석 기능이 필요한 디버깅 에이전트에 적합 analyze-oops는 PearPC 커널 Oops를 분석하는 AI 코드 어시스턴트 스킬
How do I install analyze-oops?
Run the command: npx killer-skills add sebastianbiallas/pearpc/analyze-oops. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.
What are the use cases for analyze-oops?
Key use cases include: PowerPC 아키텍처 에뮬레이터(PearPC 등)에서 커널 oops 디버깅, memdump.py를 사용하여 Oops 추출 및 분석, disasm_ppc.py를 사용하여 NIP 및 LR 주변 디어셈블링.
Which IDEs are compatible with analyze-oops?
This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.
Are there any limitations for analyze-oops?
Python 3 필요. PowerPC 아키텍처 에뮬레이터만 해당. memdump.py 및 disasm_ppc.py 등의 스크립트 필요.
↓ How To Install
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1. Open your terminal
Open the terminal or command line in your project directory.
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2. Run the install command
Run: npx killer-skills add sebastianbiallas/pearpc/analyze-oops. The CLI will automatically detect your IDE or AI agent and configure the skill.
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3. Start using the skill
The skill is now active. Your AI agent can use analyze-oops immediately in the current project.
! Reference-Only Mode
This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
analyze-oops
Install analyze-oops, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.
