Killer-Skills Review
Decision support comes first. Repository text comes second.
Killer-Skills keeps this page indexable because it adds recommendation, limitations, and review signals beyond the upstream repository text.
Perfect for DevOps Agents needing automated CI troubleshooting and GitHub Actions failure analysis. Fetch GitHub CI failure information, analyze root causes, reproduce locally, and propose a fix plan. Use `/fix-ci` for current branch or `/fix-ci <run-id>` for a specific run.
Core Value
Empowers agents to automate CI troubleshooting by fetching GitHub Actions failures, analyzing logs, reproducing issues locally, and creating a fix plan using GitHub CLI and authentication protocols like OAuth.
Ideal Agent Persona
Perfect for DevOps Agents needing automated CI troubleshooting and GitHub Actions failure analysis.
↓ Capabilities Granted for fix-ci
! Prerequisites & Limits
- Requires GitHub CLI installation and authentication
- Limited to GitHub Actions and GitHub CLI compatibility
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.
Browser Sandbox Environment
⚡️ Ready to unleash?
Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.
FAQ & Installation Steps
These questions and steps mirror the structured data on this page for better search understanding.
? Frequently Asked Questions
What is fix-ci?
Perfect for DevOps Agents needing automated CI troubleshooting and GitHub Actions failure analysis. Fetch GitHub CI failure information, analyze root causes, reproduce locally, and propose a fix plan. Use `/fix-ci` for current branch or `/fix-ci <run-id>` for a specific run.
How do I install fix-ci?
Run the command: npx killer-skills add llama-farm/llamafarm/fix-ci. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.
What are the use cases for fix-ci?
Key use cases include: Automating GitHub Actions failure analysis, Generating fix plans for CI issues, Reproducing CI issues locally for debugging.
Which IDEs are compatible with fix-ci?
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 fix-ci?
Requires GitHub CLI installation and authentication. Limited to GitHub Actions and GitHub CLI compatibility.
↓ 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 llama-farm/llamafarm/fix-ci. 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 fix-ci immediately in the current project.
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.
fix-ci
Install fix-ci, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.