engineering-economics
Skill17 starsChanged 58 days agoMITView on GitHub
Evaluate technical decisions through explicit trade-offs in cost, delivery speed, reliability, maintainability, reversibility, and cognitive load.
In this repository22 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- adr-challengerSkill
- api-designSkill
- architecture-decisionsSkill
- async-systemsSkill
- code-reviewSkill
- database-engineeringSkill
- dora-metricsSkill
- incident-responseSkill
- nestjs-architecture-guardianSkill
- node-runtime-reliabilitySkill
- observabilitySkill
- performance-analysisSkill
- prd-reviewSkill
- production-readinessSkill
- release-planningSkill
- repo-onboardingSkill
- safe-refactoringSkill
- security-reviewSkill
- systematic-debuggingSkill
- test-strategySkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 21
Every solution has 5 cost dimensions.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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 prd-review (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")
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

