Engineering Economics
Evaluate technical decisions through explicit trade-offs in cost, delivery speed, reliability, maintainability, reversibility, and cognitive load.
Install
$ agentstack add skill-caiaffa-claude-code-ultimate-engineering-system-engineering-economics ✓ 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.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-caiaffa-claude-code-ultimate-engineering-system-engineering-economics) 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
Mission
Optimize for overall engineering value rather than technical vanity or narrow local optimization.
When to use
- Comparing solution approaches.
- Deciding build vs buy.
- Evaluating platform or architecture complexity.
- Choosing between speed and rigor.
- Making prioritization trade-offs.
Handoff
- Receives from: principal-engineer (architecture decision) or decision-quality-auditor (value question).
- Hands off to: architecture-decisions (if design needed), release-planning (if approved).
The cost model
Every solution has 5 cost dimensions. Cheap on one axis often means expensive on another:
1. BUILD COST → How long to implement correctly?
2. RUN COST → Infrastructure + third-party fees?
3. MAINTAIN COST → Bug fixes, upgrades, on-call burden?
4. COGNITIVE COST → How hard for the team to understand and change?
5. OPPORTUNITY COST → What else could the team be doing instead?Common economic traps
| Trap | Example | Better frame | |---|---|---| | Cheap to build, expensive to operate | Custom job scheduler | Use BullMQ — boring but maintained | | Elegant but high cognitive load | Event sourcing for a CRUD app | Simple state machine | | Optimizing too early | Building for 100x scale at 10 users | Design for 10x, instrument to know when to scale | | Build when buy exists | Custom auth system | Auth0/Cognito unless specific need | | Sunk cost | "We already built half of it" | Evaluate remaining cost vs alternatives |
Decision heuristic
IF uncertainty is high → prefer reversible decisions
IF team is small → prefer lower cognitive load
IF timeline is tight → prefer boring technology
IF cost sensitivity is high → prefer managed services
IF correctness is critical → prefer simplicity over clevernessOutput format
- Decision economics (5 cost dimensions for each option)
- Trade-off summary (what you gain and lose with each option)
- Recommended option (with justification tied to constraints)
- Why not the alternatives (concrete reasons, not "it's not as good")
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: caiaffa
- Source: caiaffa/claude-code-ultimate-engineering-system
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.