build-optimization
Build system optimization covering compilation, caching, incremental builds, and developer tooling.
Skill by NickCrew
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/nickcrew-build-optimization
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: devops
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/build-optimization
What's inside
- Skill name
build-optimization- Description
- Build system optimization covering compilation, caching, incremental builds, and developer tooling. Use when improving build times, configuring CI pipelines, or designing developer tools.
- License
- MIT
- Instructions
- 82 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- build-systems.md · references/
- developer-tooling.md · references/
SKILL.md (first lines)
# Build Optimization Expert guidance for optimizing build systems, reducing compilation times, maximizing cache hit rates, and building developer tools that enhance productivity across the development lifecycle. ## When to Use This Skill - Diagnosing slow build times and identifying bottlenecks - Configuring caching strategies (local, remote, distributed) - Setting up incremental builds and parallel execution - Optimizing CI/CD pipeline performance and cost - Designing or improving bundle splitting and tree shaking - Building CLIs, plugins, code generators, or IDE extensions - Configuring monorepo tooling (Nx, Turborepo, Bazel) - Reducing developer feedback loop times (hot reload, watch mode) - Managing build artifacts and reproducibility ## Quick Reference | Task | Load reference | | --- | --- | | Compilation, caching, incremental builds, CI/CD optimization | `skills/build-optimization/references/build-systems.md` | | Plugin systems, code generation, linting, IDE integration, monorepo tooling | `skills/build-optimization/references/developer-tooling.md` | ## Core Targets - Build time under 30 seconds for development builds - Rebuild time under 5 seconds with watch mode - Cache hit rate above 90% in CI - Zero flaky builds in production pipelines - Reproducible builds across environments ## Workflow ### 1. Performance Analysis Profile the current build before making changes. - Measure cold build, incremental rebuild, and hot reload times - Profile CPU, memory, and I/O during builds - Map the dependency graph and identify bottlenecks - Evaluate cache hit rates and invalidation patterns - Review current tool configuration for missed optimizations ### 2. Optimization Apply targeted improvements based on profiling data. - Enable incremental compilation and caching - Configure parallel execution across available cores - Set up code splitting and tree shaking - Optimize module resolution and source transformation - Implement remote or distributed caching for CI ### 3. Tooling Build or configure developer tools for fast feedback loops. - Configure watch mode and hot module replacement - Set up clear error messages and progress indicators - Integrate build analytics and performance dashboards - Add pre-commit hooks for format, lint, and validation ### 4. Monitoring Track build health over time. - Set up automated build time tracking and alerting - Monitor cache hit rates and bundle size trends - Detect performance regressions in CI - Review and optimize periodically based on data ## Common Mistakes - Optimizing without profiling first - Disabling caching due to intermittent issues instead of fixing invalidation - Running full builds when incremental builds would suffice - Not parallelizing independent build tasks - Ignoring I/O as a bottleneck (disk speed, network latency) - Letting bundle sizes grow unchecked without analysis - Using a single build configuration for development and production
From NickCrew/Claude-Cortex, MIT.
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Signals
- Stars
- 61
- Forks
- 15
- Open issues
- 3
- Last commit (this folder)
- Apr 23, 2026 (6 months ago)
- Last release
- Jun 2, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/NickCrew/Claude-Cortex
- Website
- cortex.atlascrew.dev/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
build-optimization skill. Agent Mart. https://agentmart.dev/skills/nickcrew-build-optimization (last updated 2026-10-24)