Use when working with Buildkite CI - checking status, investigating failures, and reproducing issues locally. Provides workflows for monitoring builds, progressive failure investigation, and local reproduction strategies. Use when tempted to use GitHub tools instead of Buildkite-native tools, or when a Buildkite tool fails and you want to fall back to familiar alternatives.
Scanned 2/12/2026
Install via CLI
openskills install technicalpickles/pickled-claude-plugins---
name: working-with-buildkite-builds
description: Use when working with Buildkite CI - checking status, investigating failures, and reproducing issues locally. Provides workflows for monitoring builds, progressive failure investigation, and local reproduction strategies. Use when tempted to use GitHub tools instead of Buildkite-native tools, or when a Buildkite tool fails and you want to fall back to familiar alternatives.
---
# Working with Buildkite Builds
## Overview
This skill provides workflows and tools for working with Buildkite CI builds. It covers **checking status, investigating failures, and reproducing issues locally** rather than creating or configuring pipelines. Use this skill when working with Buildkite builds, especially for PR workflows, post-push monitoring, failure investigation, and local reproduction.
## When to Use This Skill
Use this skill when:
- Checking CI status for the current branch or PR
- Investigating why a build failed
- Monitoring builds after a git push
- Waiting for builds to complete
- Checking build status across multiple repos/PRs
- Understanding what "broken" or other Buildkite states mean
## Tool Hierarchy and Selection
**CRITICAL**: Always use Buildkite-native tools. Never fall back to GitHub tools (`gh pr view`, GitHub API, etc.) - they only show summaries and lose critical information (annotations, logs, real-time updates, state distinctions).
Use tools in this priority order:
### Primary: bktide snapshot (Use This First)
**Command**: `npx bktide@latest snapshot <buildkite-url>`
The `snapshot` command is the **preferred** approach for investigating builds. It:
- Parses any Buildkite URL automatically (build URL, step URL, etc.)
- Downloads build metadata, annotations, and logs for failed steps
- Saves everything to structured files for easy analysis
- Provides actionable next-step commands
```bash
# Basic usage - captures failed/broken steps
npx bktide@latest snapshot https://buildkite.com/org/pipeline/builds/123
# Capture all steps including passing ones
npx bktide@latest snapshot --all https://buildkite.com/org/pipeline/builds/123
```
**Output structure:**
```
./tmp/bktide/snapshots/<org>/<pipeline>/<build>/
├── manifest.json # Step index with states and exit codes
├── build.json # Full build metadata
├── annotations.json # Build annotations
└── steps/
├── 01-step-name/
│ ├── log.txt # Full log output
│ └── step.json # Step metadata
└── 02-another-step/
└── ...
```
**Useful follow-up commands** (shown by snapshot):
```bash
# List failures
jq -r '.steps[] | select(.state == "failed") | "\(.id): \(.label)"' ./tmp/bktide/snapshots/<org>/<pipeline>/<build>/manifest.json
# View a log
cat ./tmp/bktide/snapshots/<org>/<pipeline>/<build>/steps/<step-id>/log.txt
# Search for errors across all logs
grep -r "Error\|Failed\|Exception" ./tmp/bktide/snapshots/<org>/<pipeline>/<build>/steps/
```
### Secondary: Other bktide Commands
For quick queries without full snapshot:
```bash
npx bktide@latest pipelines <org> # List pipelines
npx bktide@latest builds <org>/<pipeline> # List builds
npx bktide@latest build <org>/<pipeline>#<build> # Get build details
npx bktide@latest annotations <org>/<pipeline>#<build> # Show annotations
```
### Tertiary: MCP Tools (Fallback)
**When**: bktide unavailable, or need programmatic access (wait_for_build, unblock)
Available MCP tools:
- `buildkite:get_build` - Get detailed build information
- `buildkite:list_builds` - List builds for a pipeline
- `buildkite:list_annotations` - Get annotations for a build
- `buildkite:get_pipeline` - Get pipeline configuration
- `buildkite:list_pipelines` - List all pipelines in an org
- **`buildkite:wait_for_build`** - Wait for a build to complete (useful for monitoring)
- **`buildkite:get_logs`** - Retrieve job logs
- `buildkite:get_logs_info` - Get log metadata
- `buildkite:list_artifacts` - List build artifacts
### Tool Capability Matrix
| Capability | bktide snapshot | bktide CLI | MCP Tools |
| ----------------- | --------------- | ---------- | --------- |
| Parse any BK URL | ✅ | ❌ | ❌ |
| Get build details | ✅ | ✅ | ✅ |
| Get annotations | ✅ | ✅ | ✅ |
| **Retrieve logs** | **✅** | ❌ | ✅ |
| Save to files | ✅ | ❌ | ❌ |
| Wait for build | ❌ | ❌ | ✅ |
| Unblock jobs | ❌ | ❌ | ✅ |
### When Tools Fail: Fallback Hierarchy
**If bktide fails:**
1. ✅ Use equivalent MCP tool
2. ❌ Do NOT fall back to GitHub tools
**If MCP tools fail:**
1. ✅ Check MCP server connection status
2. ✅ Restart MCP connection
3. ✅ Report the MCP failure to your human partner
4. ❌ Do NOT fall back to GitHub tools
**Critical**: One tool failing does NOT mean the entire skill is invalid. Move to fallback tools, don't abandon Buildkite tools.
## Core Workflows
### 1. Investigating a Build from URL (Most Common)
When a user provides a Buildkite URL for a failing build, use `bktide snapshot` to gather all context.
**Step 1: Capture the build snapshot**
```bash
npx bktide@latest snapshot <buildkite-url>
```
This works with any Buildkite URL format:
- Build URL: `https://buildkite.com/org/pipeline/builds/12345`
- Step URL: `https://buildkite.com/org/pipeline/builds/12345/steps/canvas?sid=019a5f...`
The snapshot command will:
- Parse the URL automatically
- Download build metadata, annotations, and logs
- Save everything to `./tmp/bktide/snapshots/<org>/<pipeline>/<build>/`
- Show a summary and helpful next-step commands
**Step 2: Review the summary**
The command output shows:
- Build state (passed/failed/running)
- Step counts (how many passed/failed/broken)
- Snapshot location
**Step 3: Analyze failed steps**
```bash
# List failed steps
jq -r '.steps[] | select(.exit_status != "0" and .exit_status != null) | "\(.id): \(.label) (exit \(.exit_status))"' ./tmp/bktide/snapshots/<org>/<pipeline>/<build>/manifest.json
# View a specific log
cat ./tmp/bktide/snapshots/<org>/<pipeline>/<build>/steps/<step-id>/log.txt
# Search for errors across all logs
grep -r "Error\|Failed\|Exception" ./tmp/bktide/snapshots/<org>/<pipeline>/<build>/steps/
```
**Step 4: Analyze error output**
Look for:
- Stack traces
- Test failure messages
- Exit codes and error messages
- File paths and line numbers
**Step 5: Reproduce locally**
Follow the "Reproducing Build Failures Locally" workflow below to:
1. Extract the exact command CI ran (visible in the log)
2. Translate it to a local equivalent
3. Triage if local reproduction isn't feasible
---
### 2. Retrieving Job Logs
**Preferred: Use bktide snapshot** (see workflow 1)
The `snapshot` command automatically downloads logs for failed/broken steps. After running snapshot:
```bash
# View a specific step's log
cat ./tmp/bktide/snapshots/<org>/<pipeline>/<build>/steps/<step-id>/log.txt
# Search across all captured logs
grep -r "pattern" ./tmp/bktide/snapshots/<org>/<pipeline>/<build>/steps/
```
**Fallback: MCP tools**
If you need logs without running snapshot (e.g., for a specific job, or snapshot isn't available):
**Step 1: Get the job UUID**
```javascript
mcp__MCPProxy__call_tool('buildkite:get_build', {
org_slug: '<org>',
pipeline_slug: '<pipeline>',
build_number: '<build-number>',
detail_level: 'detailed',
job_state: 'failed',
});
```
Find the job by matching the `label` field. Extract its `uuid` field.
**Step 2: Retrieve logs**
```javascript
mcp__MCPProxy__call_tool('buildkite:get_logs', {
org_slug: '<org>',
pipeline_slug: '<pipeline>',
build_number: '<build-number>',
job_id: '<job-uuid>',
});
```
**Common Issues:**
- **"job not found" error**: You likely provided a step ID instead of a job UUID. Step IDs come from URLs (`sid=019a5f...`). Job UUIDs come from `get_build` API responses.
- **Empty logs**: The job may not have started yet. Check the job's `state` field first.
---
### 3. Checking Current Branch/PR Status
This is the most common workflow when working on a branch:
**Step 1: Identify the pipeline and branch**
Determine which pipeline(s) run on PRs for this repository. Common patterns:
- Repository name matches pipeline slug
- Monorepo may have pipeline named after the main repo
**Step 2: Find builds for the current branch**
Use MCP tools to list recent builds:
```javascript
mcp__MCPProxy__call_tool('buildkite:list_builds', {
org_slug: '<org>',
pipeline_slug: '<pipeline>',
branch: '<branch-name>',
detail_level: 'summary',
});
```
Or use bktide:
```bash
npx bktide@latest builds --format json <org>/<pipeline>
```
**Step 3: Progressive disclosure of status**
Follow this pattern when examining builds:
1. **Overall state** - Is it `passed`, `failed`, `running`, `blocked`, or `canceled`?
2. **Job summary** - How many jobs passed/failed/broken?
3. **Annotations** (if present) - Check for test failures, warnings, or errors
4. **Failed job details** - Get logs for actually failed jobs (not just "broken")
### 4. Post-Push Monitoring Workflow
After pushing code, follow this workflow to monitor the CI build:
**Step 1: Find builds for the pushed commit**
Use the find-commit-builds script:
```bash
~/.claude/skills/buildkite-status/scripts/find-commit-builds.js <org> <commit-sha>
```
Or manually search using MCP tools with commit filter.
**Step 2: Monitor the build**
**Option A (Preferred): Use MCP wait_for_build tool**
```javascript
mcp__MCPProxy__call_tool('buildkite:wait_for_build', {
org_slug: '<org>',
pipeline_slug: '<pipeline>',
build_number: '<build-number>',
timeout: 1800,
poll_interval: 30,
});
```
This will:
- Poll every 30 seconds (configurable with `poll_interval`)
- Report status changes
- Complete when build reaches terminal state (passed/failed/canceled)
- Timeout after 30 minutes (configurable with `timeout`)
**Option B (Fallback): Use wait-for-build.js script**
If you prefer background execution:
```bash
~/.claude/skills/buildkite-status/scripts/wait-for-build.js <org> <pipeline> <build-number> --timeout 1800 --interval 30
```
**If the script fails** (e.g., bktide dependency error), use Option A - the MCP tool is more reliable.
**Step 3: Check on progress**
Periodically check the background job or wait for it to complete. When it finishes, check the exit code:
- 0 = passed
- 1 = failed
- 2 = canceled
- 3 = timeout
**Step 4: Investigate failures**
If the build failed, follow the "### 1. Investigating a Build from URL" workflow above.
### 5. Investigating Failures (Deprecated)
**Note**: This workflow is deprecated. Use "### 1. Investigating a Build from URL" and "### 2. Retrieving Job Logs" instead for a more complete investigation process.
When a build has failed, use this systematic approach:
**Step 1: Get build overview**
```javascript
mcp__MCPProxy__call_tool('buildkite:get_build', {
org_slug: '<org>',
pipeline_slug: '<pipeline>',
build_number: '<build-number>',
detail_level: 'detailed',
job_state: 'failed', // Only show failed jobs
});
```
This gives you:
- Overall build state
- Job summary (how many failed vs broken)
- List of failed jobs only
**Step 2: Check annotations**
Some projects put test failures in annotations:
```javascript
mcp__MCPProxy__call_tool('buildkite:list_annotations', {
org_slug: '<org>',
pipeline_slug: '<pipeline>',
build_number: '<build-number>',
});
```
Look for annotations with `style: "error"` or `style: "warning"`.
**Important**: Not all projects use annotations. See [references/annotation-patterns.md](references/annotation-patterns.md) for project-specific patterns.
**Step 3: Examine failed jobs**
For each failed job (not "broken" - see state reference below):
1. Get the job details from the build data
2. Check the job's log output
3. Look for stack traces, error messages, or test failures
**Step 4: Understand "broken" vs "failed"**
**Critical**: A job showing as "broken" is often NOT a failure. It typically means:
- The job was skipped because an earlier job failed
- The job's dependencies weren't met
- Conditional pipeline logic determined the job wasn't needed
See [references/buildkite-states.md](references/buildkite-states.md) for complete state explanations.
**Example**: In large monorepos, many jobs show "broken" because they were skipped due to file changes not affecting them. This is normal and expected.
### 6. Checking Blocked Builds
When a build is in `blocked` state, it's waiting for manual approval:
**Step 1: Identify the block step**
Get the build with `detail_level: "detailed"` and look for jobs with `state: "blocked"`.
**Step 2: Review what's being blocked**
Block steps typically have a `label` describing what approval is needed (e.g., "Deploy to Production").
**Step 3: Unblock if appropriate**
Use the MCP tool to unblock:
```javascript
mcp__MCPProxy__call_tool('buildkite:unblock_job', {
org_slug: '<org>',
pipeline_slug: '<pipeline>',
build_number: '<build-number>',
job_id: '<job-id>',
fields: {}, // Optional form fields if the block step has inputs
});
```
### 7. Reproducing Build Failures Locally
After investigating a failed build (workflows 1-2), use this workflow to reproduce the failure locally for debugging.
#### Phase 1: Extract
**Goal:** Discover exactly what CI ran - the command, environment, and context.
**Step 1: Get the job logs**
Use workflow "### 2. Retrieving Job Logs" to get logs for the failed job.
**Step 2: Find the actual command**
Look early in the log output for the command execution line. Common patterns:
- **Docker-compose plugin:** `:docker: Running /bin/sh -e -c '<command>' in service <service>`
- **Shell trace:** Lines starting with `+ ` when shell trace is enabled
- **Direct command steps:** Command appears after "Running command" or similar
Example log snippet:
```
Running plugin docker-compose command hook
:docker: Found a pre-built image for app
:docker: Creating docker-compose override file for prebuilt services
:docker: Pulling services app
:docker: Starting dependencies
:docker: Running /bin/sh -e -c 'bin/rspec spec/models/user_spec.rb' in service app
```
The actual command here is `bin/rspec spec/models/user_spec.rb`.
**Step 3: Identify environment variables**
Check multiple sources in order:
1. **Log output** - Some pipelines print env vars at job start
2. **Pipeline config** - Check `.buildkite/pipeline.yml` or buildkite-builder DSL for `env:` blocks
3. **Buildkite defaults** - See [references/buildkite-environment-variables.md](references/buildkite-environment-variables.md) for standard vars like `CI=true`, `BUILDKITE_BRANCH`, etc.
4. **Discover through failure** - If local run fails differently, a missing env var may be the cause
**Step 4: Note the execution context**
Record:
- Was it running in Docker? Which service/image?
- What working directory?
- Any pre-command setup visible in the log?
#### Phase 2: Translate
**Goal:** Convert the CI command to something runnable locally.
**Step 1: Try the direct command first**
Run the extracted command as-is in your local environment:
```bash
bin/rspec spec/models/user_spec.rb
```
This often works for:
- Test commands (`rspec`, `jest`, `pytest`, etc.)
- Linting/formatting tools
- Simple scripts
**Step 2: If direct fails, try with docker-compose**
When the command ran in a Docker context in CI, replicate that locally:
```bash
docker-compose run <service> <command>
```
Example - if CI showed:
`:docker: Running /bin/sh -e -c 'bin/rspec spec/models/user_spec.rb' in service app`
Try locally:
```bash
docker-compose run app bin/rspec spec/models/user_spec.rb
```
**Step 3: Set relevant environment variables**
If the command behaves differently, add env vars discovered in Phase 1:
```bash
CI=true RAILS_ENV=test bin/rspec spec/models/user_spec.rb
```
Or with docker-compose:
```bash
docker-compose run -e CI=true -e RAILS_ENV=test app bin/rspec spec/models/user_spec.rb
```
**Step 4: Handle common translation patterns**
| CI Pattern | Local Translation |
|------------|-------------------|
| `--parallel 4` | `--parallel 1` or remove flag |
| `--format buildkite` | `--format progress` or remove flag |
| CI-specific artifact paths | Use local paths |
| `buildkite-agent artifact download` | Download manually or skip |
#### Phase 3: Triage
**Goal:** When local reproduction isn't feasible, determine the best alternative.
**Decision: Can this be reproduced locally?**
Local reproduction is likely **NOT feasible** when:
- Command needs infrastructure not available locally (specific databases, internal APIs, secrets)
- Environment differences are too significant (specific Linux dependencies, network topology)
- Failure is tied to CI-specific state (parallelization across agents, artifact dependencies from earlier steps)
**Note:** Many Buildkite plugins don't block local reproduction - plugins for artifacts, notifications, or caching are CI orchestration concerns, not execution blockers.
**Alternative 1: Trigger a test build with debugging changes**
Push a branch with modifications to aid debugging:
- Add verbose flags to the failing command (e.g., `--verbose`, `-vvv`)
- Insert `echo` statements or print debugging
- Add env var dumping: `env | sort` or `printenv`
- Modify environment variables in pipeline config
- Temporarily simplify the command to isolate the issue
**Alternative 2: Inspect artifacts**
Download artifacts from the failed build:
```javascript
mcp__MCPProxy__call_tool('buildkite:list_artifacts', {
org_slug: '<org>',
pipeline_slug: '<pipeline>',
build_number: '<build-number>',
});
```
Look for:
- Test output files (JUnit XML, coverage reports)
- Log files written during execution
- Screenshots or other debug outputs
**Alternative 3: Analyze the failure in place**
Sometimes reproduction isn't needed - the logs plus artifacts contain enough information to understand and fix the issue without running it locally.
## Understanding Buildkite States
Buildkite has several states that can be confusing. Here's a quick reference:
### Build States
- `passed` - All jobs completed successfully ✅
- `failed` - One or more jobs failed ❌
- `running` - Build is currently executing 🔄
- `blocked` - Waiting for manual approval 🚫
- `canceled` - Build was canceled ⛔
### Job States
- `passed` - Job succeeded ✅
- `failed` - Job failed with non-zero exit ❌
- `broken` - **MISLEADING**: Usually means skipped due to pipeline logic, NOT a failure ⚠️
- `soft_failed` - Failed but marked as non-blocking 〰️
- `skipped` - Job was skipped ⏭️
**For complete state reference and project-specific patterns**, read [references/buildkite-states.md](references/buildkite-states.md).
## Progressive Disclosure Pattern
Always follow this pattern when checking build status:
1. **Start broad**: Overall build state (passed/failed/running)
2. **Check summary**: Job counts (how many passed/failed/broken)
3. **Check annotations**: If present, they often contain key information
4. **Drill into failures**: Only examine failed jobs (not broken)
5. **Read logs**: Get actual error messages and stack traces
Don't immediately jump to logs - the build state and annotations often tell you what you need to know.
## Project-Specific Patterns
### Large Projects / Monorepos
- **Use annotations heavily**: Test failures are usually summarized in annotations
- **Many "broken" jobs**: Normal due to conditional execution
- **Complex job graphs**: Jobs have dependencies and conditional logic
- **Check annotations first**: They save time vs reading all logs
### Small Projects
- **No annotations**: All information is in job logs
- **Simpler job structure**: Fewer dependencies and conditions
- **"Broken" is unusual**: May indicate an actual problem
- **Read logs directly**: No annotations to summarize failures
## Anti-Patterns: What NOT to Do
### ❌ Falling Back to GitHub Tools
**Don't**: Use `gh pr view`, `gh pr checks`, or GitHub API to check Buildkite status
**Why**: GitHub shows Buildkite check summary only. You lose:
- Real-time build logs and output
- Annotations with test failure details
- Job-level breakdown and states
- Ability to distinguish "broken" (skipped) from "failed"
- Direct build monitoring and waiting
- Proper state information
**Reality**: Always use Buildkite tools. GitHub summarizes; Buildkite is the source of truth.
### ❌ Abandoning Skill on Tool Failure
**Don't**: "The script failed, so I'll use GitHub tools instead"
**Why**: The skill documents MULTIPLE tool tiers:
- MCP tools (primary, always available)
- bktide CLI (secondary, convenience)
- Scripts (tertiary, helpers)
**Reality**: One tool failing doesn't invalidate the skill. Follow the fallback hierarchy - move to MCP tools, don't abandon Buildkite entirely.
### ❌ Emergency Override Rationalization
**Don't**: "This is urgent, I don't have time to follow the skill"
**Why**: Skills exist ESPECIALLY for high-pressure situations. Disciplined workflows prevent mistakes when you're rushed. Making wrong tool choices under pressure wastes MORE time debugging.
**Reality**: Following the skill is FASTER than recovering from wrong decisions. Taking 2 minutes to use the right tool saves 20 minutes of confusion.
### ❌ "I Already Know X" Rationalization
**Don't**: "I already know `gh pr view` works, why learn Buildkite tools?"
**Why**: Familiarity ≠ effectiveness. You'll spend more time working around GitHub's limitations than learning the proper tools.
**Reality**: Invest 2 minutes learning Buildkite MCP tools once. Save hours across all future builds.
## Red Flags - STOP
If you catch yourself thinking ANY of these thoughts, you're about to violate this skill:
- "The script failed, so the skill doesn't apply"
- "This is an emergency, no time for the skill"
- "I already know gh pr view works"
- "GitHub tools show the same information"
- "I'll just check GitHub quickly"
- "One tool failed, so I'll use what I know"
- "The skill is for normal situations, not emergencies"
- "I don't have time to learn new tools right now"
**These are rationalizations. Stop. Follow the tool hierarchy. Use Buildkite MCP tools.**
## Common Mistakes to Avoid
1. **Treating "broken" as "failed"**: Broken usually means skipped, not failed
2. **Ignoring annotations**: They often contain the most actionable information
3. **Not filtering by state**: Use `job_state: "failed"` to focus on actual failures
4. **Missing blocked builds**: A blocked build won't progress without manual intervention
5. **Polling in foreground**: Use MCP `wait_for_build` tool or background scripts
## Tips for Efficient Status Checking
1. **Use detail levels**: Start with `detail_level: "summary"` to reduce data
2. **Filter by job state**: Request only failed jobs when investigating
3. **Background monitoring**: Run wait-for-build.js in background after pushing
4. **Check annotations first**: For projects that use them, they're faster than logs
5. **Trust the scripts**: The bundled scripts handle polling, timeouts, and edge cases
## Resources
### References
- **[buildkite-states.md](references/buildkite-states.md)** - Complete guide to Buildkite states, including the misleading "broken" state and project-specific patterns
- **[annotation-patterns.md](references/annotation-patterns.md)** - How different projects use annotations and when to check them
- **[tool-capabilities.md](references/tool-capabilities.md)** - Comprehensive capability matrix for MCP tools, bktide, and scripts
- **[url-parsing.md](references/url-parsing.md)** - Understanding Buildkite URLs, step IDs vs job UUIDs
- **[troubleshooting.md](references/troubleshooting.md)** - Common errors, solutions, and decision tree for when stuck
- **[buildkite-environment-variables.md](references/buildkite-environment-variables.md)** - Standard Buildkite environment variables for local reproduction
### Scripts
- **[wait-for-build.js](scripts/wait-for-build.js)** - Background monitoring with timeout and polling
- **[find-commit-builds.js](scripts/find-commit-builds.js)** - Find builds for a specific commit
- **[get-build-logs.js](scripts/get-build-logs.js)** - Helper for log retrieval with UUID resolution (placeholder)
- **[parse-buildkite-url.js](scripts/parse-buildkite-url.js)** - Extract components from Buildkite URLs
Run scripts with `--help` for usage information.
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