Install
$ agentstack add skill-nickcrew-claude-cortex-build-optimization ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: NickCrew
- Source: NickCrew/Claude-Cortex
- License: MIT
- Homepage: https://cortex.atlascrew.dev/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.