How does this skill save Claude's context window space?

It follows a 'filter first' principle, fetching only failed output and small contextual windows around errors rather than loading the entire multi-megabyte log file.

Can it help identify flaky tests?

Yes, through its structured investigation patterns, it helps distinguish between environmental issues (like network timeouts) and deterministic code failures.

Which CI/CD platforms are supported by reading-logs?

It natively supports and auto-detects GitHub Actions, CircleCI, and Jenkins, and provides a generic fallback for other systems.

Why does the skill focus on the first error instead of the end of the log?

The final error in a CI log is often a cascade effect or symptom; identifying the first error typically reveals the actual root cause of the pipeline failure.

CI/CD Log Investigator

Name: CI/CD Log Investigator
Author: kirvin

bykirvin

0•

배포 및 DevOps

Streamlines build failure debugging by auto-detecting CI systems and pinpointing root causes through intelligent log filtering.

The reading-logs skill enhances Claude's ability to navigate and triage complex build failures across GitHub Actions, CircleCI, and Jenkins. By implementing a 'filter first, expand later' strategy, it avoids context window limitations and focuses on identifying the initial root cause rather than trailing symptoms. The skill automatically identifies the active CI environment and provides specialized triage patterns to help developers quickly distinguish between flaky infrastructure and deterministic code errors, significantly accelerating the path to a green build.

주요 기능

01Contextual expansion for precise analysis of lines surrounding an error

02Structured investigation checklists for consistent pipeline troubleshooting

03Root cause prioritization by scanning for the first occurrence of failures

040 GitHub stars

05Intelligent log filtering to isolate error messages without context bloat

06Automatic detection of GitHub Actions, CircleCI, and Jenkins environments

사용 사례

01Analyzing Jenkins build logs to determine if a failure is environmental or code-related

02Triage of CircleCI deployment errors by isolating the command that triggered a non-zero exit code

03Debugging a failed GitHub Actions workflow to find the specific test that crashed

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add kirvin/copilot-cli-essentials reading-logs

For use in Claude.ai and ChatGPT

주요 기능

01Contextual expansion for precise analysis of lines surrounding an error

02Structured investigation checklists for consistent pipeline troubleshooting

03Root cause prioritization by scanning for the first occurrence of failures

040 GitHub stars

05Intelligent log filtering to isolate error messages without context bloat

06Automatic detection of GitHub Actions, CircleCI, and Jenkins environments

사용 사례

01Analyzing Jenkins build logs to determine if a failure is environmental or code-related

02Triage of CircleCI deployment errors by isolating the command that triggered a non-zero exit code

03Debugging a failed GitHub Actions workflow to find the specific test that crashed

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add kirvin/copilot-cli-essentials reading-logs

For use in Claude.ai and ChatGPT