skills/bazel-build-optimization/SKILL.md
Optimize Bazel builds for large-scale monorepos. Use when configuring Bazel, implementing remote execution, or optimizing build performance for enterprise codebases.
npx skillsauth add williamlimasilva/.copilot bazel-build-optimizationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Production patterns for Bazel in large-scale monorepos.
resources/implementation-playbook.md.workspace/
├── WORKSPACE.bazel # External dependencies
├── .bazelrc # Build configurations
├── .bazelversion # Bazel version
├── BUILD.bazel # Root build file
├── apps/
│ └── web/
│ └── BUILD.bazel
├── libs/
│ └── utils/
│ └── BUILD.bazel
└── tools/
└── bazel/
└── rules/
| Concept | Description |
|---------|-------------|
| Target | Buildable unit (library, binary, test) |
| Package | Directory with BUILD file |
| Label | Target identifier //path/to:target |
| Rule | Defines how to build a target |
| Aspect | Cross-cutting build behavior |
# WORKSPACE.bazel
workspace(name = "myproject")
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
# Rules for JavaScript/TypeScript
http_archive(
name = "aspect_rules_js",
sha256 = "...",
strip_prefix = "rules_js-1.34.0",
url = "https://github.com/aspect-build/rules_js/releases/download/v1.34.0/rules_js-v1.34.0.tar.gz",
)
load("@aspect_rules_js//js:repositories.bzl", "rules_js_dependencies")
rules_js_dependencies()
load("@rules_nodejs//nodejs:repositories.bzl", "nodejs_register_toolchains")
nodejs_register_toolchains(
name = "nodejs",
node_version = "20.9.0",
)
load("@aspect_rules_js//npm:repositories.bzl", "npm_translate_lock")
npm_translate_lock(
name = "npm",
pnpm_lock = "//:pnpm-lock.yaml",
verify_node_modules_ignored = "//:.bazelignore",
)
load("@npm//:repositories.bzl", "npm_repositories")
npm_repositories()
# Rules for Python
http_archive(
name = "rules_python",
sha256 = "...",
strip_prefix = "rules_python-0.27.0",
url = "https://github.com/bazelbuild/rules_python/releases/download/0.27.0/rules_python-0.27.0.tar.gz",
)
load("@rules_python//python:repositories.bzl", "py_repositories")
py_repositories()
# .bazelrc
# Build settings
build --enable_platform_specific_config
build --incompatible_enable_cc_toolchain_resolution
build --experimental_strict_conflict_checks
# Performance
build --jobs=auto
build --local_cpu_resources=HOST_CPUS*.75
build --local_ram_resources=HOST_RAM*.75
# Caching
build --disk_cache=~/.cache/bazel-disk
build --repository_cache=~/.cache/bazel-repo
# Remote caching (optional)
build:remote-cache --remote_cache=grpcs://cache.example.com
build:remote-cache --remote_upload_local_results=true
build:remote-cache --remote_timeout=3600
# Remote execution (optional)
build:remote-exec --remote_executor=grpcs://remote.example.com
build:remote-exec --remote_instance_name=projects/myproject/instances/default
build:remote-exec --jobs=500
# Platform configurations
build:linux --platforms=//platforms:linux_x86_64
build:macos --platforms=//platforms:macos_arm64
# CI configuration
build:ci --config=remote-cache
build:ci --build_metadata=ROLE=CI
build:ci --bes_results_url=https://results.example.com/invocation/
build:ci --bes_backend=grpcs://bes.example.com
# Test settings
test --test_output=errors
test --test_summary=detailed
# Coverage
coverage --combined_report=lcov
coverage --instrumentation_filter="//..."
# Convenience aliases
build:opt --compilation_mode=opt
build:dbg --compilation_mode=dbg
# Import user settings
try-import %workspace%/user.bazelrc
# libs/utils/BUILD.bazel
load("@aspect_rules_ts//ts:defs.bzl", "ts_project")
load("@aspect_rules_js//js:defs.bzl", "js_library")
load("@npm//:defs.bzl", "npm_link_all_packages")
npm_link_all_packages(name = "node_modules")
ts_project(
name = "utils_ts",
srcs = glob(["src/**/*.ts"]),
declaration = True,
source_map = True,
tsconfig = "//:tsconfig.json",
deps = [
":node_modules/@types/node",
],
)
js_library(
name = "utils",
srcs = [":utils_ts"],
visibility = ["//visibility:public"],
)
# Tests
load("@aspect_rules_jest//jest:defs.bzl", "jest_test")
jest_test(
name = "utils_test",
config = "//:jest.config.js",
data = [
":utils",
"//:node_modules/jest",
],
node_modules = "//:node_modules",
)
# libs/ml/BUILD.bazel
load("@rules_python//python:defs.bzl", "py_library", "py_test", "py_binary")
load("@pip//:requirements.bzl", "requirement")
py_library(
name = "ml",
srcs = glob(["src/**/*.py"]),
deps = [
requirement("numpy"),
requirement("pandas"),
requirement("scikit-learn"),
"//libs/utils:utils_py",
],
visibility = ["//visibility:public"],
)
py_test(
name = "ml_test",
srcs = glob(["tests/**/*.py"]),
deps = [
":ml",
requirement("pytest"),
],
size = "medium",
timeout = "moderate",
)
py_binary(
name = "train",
srcs = ["train.py"],
deps = [":ml"],
data = ["//data:training_data"],
)
# tools/bazel/rules/docker.bzl
def _docker_image_impl(ctx):
dockerfile = ctx.file.dockerfile
base_image = ctx.attr.base_image
layers = ctx.files.layers
# Build the image
output = ctx.actions.declare_file(ctx.attr.name + ".tar")
args = ctx.actions.args()
args.add("--dockerfile", dockerfile)
args.add("--output", output)
args.add("--base", base_image)
args.add_all("--layer", layers)
ctx.actions.run(
inputs = [dockerfile] + layers,
outputs = [output],
executable = ctx.executable._builder,
arguments = [args],
mnemonic = "DockerBuild",
progress_message = "Building Docker image %s" % ctx.label,
)
return [DefaultInfo(files = depset([output]))]
docker_image = rule(
implementation = _docker_image_impl,
attrs = {
"dockerfile": attr.label(
allow_single_file = [".dockerfile", "Dockerfile"],
mandatory = True,
),
"base_image": attr.string(mandatory = True),
"layers": attr.label_list(allow_files = True),
"_builder": attr.label(
default = "//tools/docker:builder",
executable = True,
cfg = "exec",
),
},
)
# Find all dependencies of a target
bazel query "deps(//apps/web:web)"
# Find reverse dependencies (what depends on this)
bazel query "rdeps(//..., //libs/utils:utils)"
# Find all targets in a package
bazel query "//libs/..."
# Find changed targets since commit
bazel query "rdeps(//..., set($(git diff --name-only HEAD~1 | sed 's/.*/"&"/' | tr '\n' ' ')))"
# Generate dependency graph
bazel query "deps(//apps/web:web)" --output=graph | dot -Tpng > deps.png
# Find all test targets
bazel query "kind('.*_test', //...)"
# Find targets with specific tag
bazel query "attr(tags, 'integration', //...)"
# Compute build graph size
bazel query "deps(//...)" --output=package | wc -l
# platforms/BUILD.bazel
platform(
name = "linux_x86_64",
constraint_values = [
"@platforms//os:linux",
"@platforms//cpu:x86_64",
],
exec_properties = {
"container-image": "docker://gcr.io/myproject/bazel-worker:latest",
"OSFamily": "Linux",
},
)
platform(
name = "remote_linux",
parents = [":linux_x86_64"],
exec_properties = {
"Pool": "default",
"dockerNetwork": "standard",
},
)
# toolchains/BUILD.bazel
toolchain(
name = "cc_toolchain_linux",
exec_compatible_with = [
"@platforms//os:linux",
"@platforms//cpu:x86_64",
],
target_compatible_with = [
"@platforms//os:linux",
"@platforms//cpu:x86_64",
],
toolchain = "@remotejdk11_linux//:jdk",
toolchain_type = "@bazel_tools//tools/jdk:runtime_toolchain_type",
)
# Profile build
bazel build //... --profile=profile.json
bazel analyze-profile profile.json
# Identify slow actions
bazel build //... --execution_log_json_file=exec_log.json
# Memory profiling
bazel build //... --memory_profile=memory.json
# Skip analysis cache
bazel build //... --notrack_incremental_state
development
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic search, build a retrieval-augmented generation system, store agent memory across sessions, implement hybrid search, or connect an LLM to a searchable knowledge base — even if they don't say "Pinecone" explicitly. Also use when the user asks about vector databases for RAG, namespace isolation for multi-tenant agents, embedding pipelines, or scaling a knowledge base beyond what local storage can handle. DO NOT use for local-only vector stores (Chroma, FAISS, pgvector) or pure keyword search with no semantic component.
development
Perform an AWS Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.
devops
Query AWS resources using natural language. Covers EC2, S3, RDS, Lambda, ECS, EKS, Secrets Manager, IAM, VPC, networking, messaging, and more. Strictly read-only — no writes, deletes, or mutations.
devops
Analyze AWS resource health, diagnose issues from CloudWatch logs and metrics, and create a remediation plan for identified problems.