MCPInstall

diagnose-ci-failures

Diagnose CI failures for a PR using the GitHub CLI, extract error logs, and generate a plan to fix them. Use when the user asks to check CI status, pull CI issues, triage test failures, or investigate PR build failures.

Installs
28.4K
Last 24h
+27
Trending rank
#4645
Security
Warn

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/warpdotdev/common-skills --skill diagnose-ci-failures
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads diagnose-ci-failures automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub PassSAFE ·This skill provides a standard diagnostic workflow using the GitHub CLI to analyze CI failures. It follows security best practices by focusing on information gathering and plan generation rather than automated code execution.
Socket PassNo alerts
Snyk WarnMEDIUM ·Risk: MEDIUM · 1 issue

SKILL.md

The instructions your agent reads when the skill is triggered.

diagnose-ci-failures

Programmatically diagnose CI failures for a PR and generate a plan to fix them.

Overview

This skill provides a deterministic workflow to check CI status for a PR, extract failure logs, analyze errors, and create a plan (not code changes) to resolve issues. The output is always a plan document that can be reviewed before execution.

Workflow

1. Verify PR exists for current branch

Get the current branch and check if a PR exists:

# Get current branch
git branch --show-current

# Check for PR
GH_PAGER=cat gh pr view <branch-name> --json number,title,url,state

If no PR exists, inform the user and offer to create one using the create-pr skill.

2. Check CI status

Fetch the status of all CI checks:

GH_PAGER=cat gh pr view <branch-name> --json statusCheckRollup

Parse the output to identify:

  • Completed checks vs. in-progress checks
  • Successful checks
  • Failed checks with their names and details URLs

If CI is still running, inform the user which checks have already failed or passed, highlight the checks that are still running, and suggest waiting for completion before diagnosis.

3. Extract failure logs

For each failed check, pull the logs using the run ID from the status check:

GH_PAGER=cat gh run view <run-id> --log-failed

Focus on extracting:

  • Error messages and their locations (file paths, line numbers)
  • Compilation errors (unused imports, type mismatches, etc.)
  • Linting/clippy errors with specific lint names
  • Test failure messages and stack traces
  • Build failures and their root causes

4. Categorize errors

Group errors by type:

  • Formatting issues: cargo fmt failures
  • Linting issues: cargo clippy warnings/errors
  • Compilation errors: Type errors, missing imports, signature mismatches
  • Test failures: Failing tests with their names and failure reasons
  • Platform-specific issues: WASM, Linux, macOS, Windows-specific failures

5. Generate fix plan

Create a plan document (using create_plan tool) with:

  • Problem Statement: Summary of failing checks
  • Current State: What errors were found and where
  • Proposed Changes: Specific fixes needed for each error category
  • Validation Steps: Commands to verify fixes (fmt, clippy, tests, presubmit)

The plan should reference the fix-errors skill for detailed guidance on resolving specific error types.

Important Notes

  • GitHub CLI paging: Set GH_PAGER=cat on every gh invocation. The GitHub CLI does not support --no-pager as a global option; GH_PAGER and PAGER are its documented paging controls
  • Always create a plan first: Never make code changes directly. Generate a plan for user review
  • Check test status in CI: Even if tests fail locally, verify they passed in CI before flagging as issues
  • Unrelated test failures: If tests passed in CI but fail locally, they may be environment-specific or flaky
  • Multiple error types: Fix one category at a time (e.g., all clippy errors before tests)
  • Cross-reference fix-errors skill: For detailed error resolution strategies, use the fix-errors skill

Common CI Check Names

  • Formatting + Clippy (MacOS)
  • Formatting + Clippy (Linux)
  • Run MacOS tests
  • Run Linux tests
  • Run Windows tests
  • Check CI results (summary check)
  • WASM build

Example Commands

Get PR status with details:

GH_PAGER=cat gh pr view --json number,title,state,statusCheckRollup

Get logs from specific failed run:

GH_PAGER=cat gh run view 12345678 --log-failed

Check for specific error in logs:

GH_PAGER=cat gh run view 12345678 --log-failed 2>&1 | grep -A 5 "error:"

FAQ

What does the diagnose-ci-failures skill do?

Diagnose CI failures for a PR using the GitHub CLI, extract error logs, and generate a plan to fix them. Use when the user asks to check CI status, pull CI issues, triage test failures, or investigate PR build failures.

How do I install diagnose-ci-failures?

Run npx skills add https://github.com/warpdotdev/common-skills --skill diagnose-ci-failures in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/diagnose-ci-failures/ (personal) or .claude/skills/diagnose-ci-failures/ (project).

Which AI agents can use diagnose-ci-failures?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is diagnose-ci-failures safe to install?

Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk flagged items to review. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains diagnose-ci-failures?

It is published by warpdotdev in warpdotdev/common-skills. It has 28,403 recorded installs.

More from warpdotdev/common-skills

View all →

review-pr

warpdotdev/common-skills

Review a pull request diff and write structured feedback to review.json for the workflow to publish. Use when reviewing a checked-out PR from local artifacts like prdiff.txt and prdescription.txt and producing machine-readable review output instead of posting directly to GitHub.

spec-driven-implementation

warpdotdev/common-skills

Drive a spec-first workflow for substantial features by writing PRODUCT.md before implementation, writing TECH.md when warranted, and keeping both specs updated as implementation evolves. Use when starting a significant feature, planning agent-driven implementation, or when the user wants product and tech specs checked into source control.

write-product-spec

warpdotdev/common-skills

Write a PRODUCT.md spec for a significant user-facing feature in Warp, focused on detailed behavior and validation. Use when the user asks for a product spec, desired behavior doc, or PRD, wants to define feature behavior before implementation, or when the feature is substantial or behaviorally ambiguous enough that a written spec would improve implementation or review.

write-tech-spec

warpdotdev/common-skills

Write a TECH.md spec for a significant Warp feature after researching the current codebase and implementation constraints. Use when the user asks for a technical spec, implementation plan, or architecture doc tied to a product spec.

resolve-merge-conflicts

warpdotdev/common-skills

Resolve Git merge conflicts by extracting only unresolved paths, conflict hunks, and compact diffs instead of loading whole files into context. Use when a merge, rebase, cherry-pick, or stash pop stops on conflicts, when git status shows unmerged paths, or when files contain conflict markers.

fix-errors

warpdotdev/common-skills

Fix compilation errors, linting issues, and test failures in the warp Rust codebase. Covers presubmit checks, WASM-specific errors, and running specific tests. Use when the user hits build errors, clippy or fmt failures, test failures, or needs to run or interpret presubmit before a PR.

Testing & QA28.5K installs

Popular devops & cloud skills

View category →

microsoft-foundry

microsoft/azure-skills

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure

OfficialDevOps & Cloud579.1K installs

azure-diagnostics

microsoft/azure-skills

Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.

OfficialDevOps & Cloud569.8K installs

azure-prepare

microsoft/azure-skills

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

OfficialDevOps & Cloud569K installs

azure-ai

microsoft/azure-skills

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.

OfficialDevOps & Cloud568.8K installs

azure-deploy

microsoft/azure-skills

Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.

OfficialDevOps & Cloud568.6K installs

azure-validate

microsoft/azure-skills

Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.

OfficialDevOps & Cloud568K installs