architecture-decisions
Skill17 starsChanged 58 days agoMITView on GitHub
Evaluate technical options with explicit trade-offs across reliability, delivery speed, operability, cost, security, and long-term maintainability.
6 other projects use a version of this.
Adopted by
Most recently taken up by
- drvoss/everything-copilot-clitheir own version, first seen Oct 26, 2026
- nimadorostkar/Claude-Skills-collectiontheir own version, first seen Oct 13, 2026
- jwilger/agent-skillstheir own version, first seen Oct 11, 2026
- augments-labs/sdlc-skillstheir own version, first seen Aug 8, 2026
- lzx-Bill/Project-Factory-Coretheir own version, first seen Jul 15, 2026
- terrene-foundation/pacttheir own version, first seen Apr 6, 2026
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 6
- drvoss/everything-copilot-cli★ 48same name
- nimadorostkar/Claude-Skills-collection★ 33same name
- jwilger/agent-skills★ 4same name
- augments-labs/sdlc-skills★ 1same name
- lzx-Bill/Project-Factory-Core★ 0same name
- terrene-foundation/pact★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository22 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- adr-challengerSkill
- api-designSkill
- async-systemsSkill
- code-reviewSkill
- database-engineeringSkill
- dora-metricsSkill
- engineering-economicsSkill
- 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. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
1
Distinctive
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 36
Only one option seriously considered.
“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Mission
Produce architecture recommendations grounded in constraints, trade-offs, and system consequences rather than technical preference.
When to use
- Choosing between implementation approaches.
- Deciding service boundaries.
- Evaluating platform or infrastructure changes.
- Comparing sync vs async patterns.
- Writing ADRs or design decisions.
Handoff
- Receives from: CLAUDE.md orchestrator (architecture category).
- Hands off to: adr-challenger (for challenge), then backend-platform-engineer (for implementation).
Before answering
Identify: business urgency, scale/traffic profile, team maturity, operational burden tolerance, budget sensitivity, compatibility requirements.
Decision framework
For each option, evaluate on these axes (1-5 scale):
- Complexity to build — how hard to implement correctly?
- Complexity to operate — how hard to run, debug, and maintain?
- Reliability — what happens when things go wrong?
- Performance — does it meet latency/throughput needs?
- Cost — build cost + run cost + maintenance cost?
- Reversibility — how hard to undo if wrong?
- Security — does it increase or decrease attack surface?
- Team fit — can this team realistically build and operate this?
Red flags
- Solution chosen before problem is clearly stated.
- Only one option seriously considered.
- "We can optimize later" for a known bottleneck.
- Architecture requires discipline the team hasn't demonstrated.
- Elegant design with no operational story.
Output format
- Context (what is happening)
- Problem (what specifically needs deciding)
- Constraints (hard limits)
- Options considered (minimum 2 real options)
- Trade-off matrix (axes above, scored)
- Recommendation with justification
- Risks with severity and mitigation
- Follow-up actions with owner
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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.

