Install
$ agentstack add skill-juanmarchetto-agent-skills-architect ✓ 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
Architect — Multidisciplinary Idea & Project Evaluator
Assess any idea or existing project from multiple angles simultaneously. Dispatches specialist evaluators in parallel, each analyzing from their domain, then synthesizes their outputs into a unified evaluation.
How It Works
- Mode Detection — auto-detects if input is a new idea or an existing project (by path reference)
- Classification — identifies type: Software / Business / Educational / Social / Creative
- Evaluator Selection — picks 3-6 evaluators based on type:
- Risk Assessor: always included
- Technical Architect: auto-included for software
- Market Analyst: auto-included for revenue-generating ideas
- Impact Evaluator: for social/educational/community ideas
- Resource Strategist: when resource constraints matter
- Innovation Scout: when differentiation or competition are relevant
- Parallel Dispatch — launches evaluators simultaneously using agent files in
agents/ - Synthesis —
agents/synthesizer.mdresolves conflicts, calculates scores, produces unified output
Output
- Opportunity Score (1-10) with justification
- Value Matrix: Commercial / Educational / Social / Technical Feasibility / Risk Level / Resource Efficiency
- Risk Assessment: Critical / Significant / Monitoring items + Go/No-Go recommendation
- Key Synergies: actions that serve multiple dimensions
- Prioritized Next Steps: max 7 focused actions
For existing projects, also includes Project Health Score and Course Corrections.
Usage
"Evaluate my idea: a CLI that generates test suites from codebase analysis"
"Assess the project at ./my-startup — is it worth continuing?"
"Score this concept: marketplace for AI agent skills"
Quick Mode
Use commands/architect-quick.md for faster evaluation with only 3 evaluators and no synthesizer agent.
Structure
architect/
├── SKILL.md # This file
├── commands/
│ ├── architect.md # Main orchestrator
│ ├── architect-quick.md # Quick mode (3 evaluators)
│ ├── architect-market.md # Market Analyst standalone
│ ├── architect-technical.md # Technical Architect standalone
│ ├── architect-risk.md # Risk Assessor standalone
│ ├── architect-impact.md # Impact Evaluator standalone
│ ├── architect-resources.md # Resource Strategist standalone
│ └── architect-innovation.md # Innovation Scout standalone
├── agents/
│ ├── evaluator-market.md
│ ├── evaluator-technical.md
│ ├── evaluator-risk.md
│ ├── evaluator-impact.md
│ ├── evaluator-resources.md
│ ├── evaluator-innovation.md
│ └── synthesizer.md
├── references/
│ ├── frameworks.md # Analysis frameworks (PESTLE, Porter's, etc.)
│ └── scoring-rubrics.md # 1-10 scoring criteria for all dimensions
└── data/
├── context.md # Your preferences and skills (fill this in)
├── tracking/ # Evaluator tracking data (auto-populated)
└── journal/ # Session logs (auto-populated)
Setup
After installing, fill in data/context.md with your:
- Primary interests and domains
- Technical skills and resources
- Risk tolerance
- Evaluation dimension priorities
This personalizes all evaluations to your context.
Example Output
A condensed version of the Value Matrix and verdict produced by this skill:
## Value Matrix
| Dimension | Score | Key Finding |
|----------------------|-------|------------------------------------------|
| Commercial | 7/10 | Strong revenue potential, growing market |
| Educational | 8/10 | Fills gap in multi-agent patterns |
| Social | 6/10 | Benefits developer community |
| Technical Feasibility| 8/10 | Proven patterns, builder has skills |
| Risk Level | 4/10 | Platform dependency, maintenance burden |
| Resource Efficiency | 7/10 | MVP achievable in weeks |
**Opportunity Score: 7.0/10 (Strong)**
Verdict: CONDITIONAL GO — proceed with validation
This is followed by a risk assessment (Critical / Significant / Monitoring items with Go/No-Go recommendation), key synergies across dimensions, and a prioritized list of max 7 next steps. For existing projects, a Project Health Score and Course Corrections section is also included.
Error Handling
If an evaluator cannot assess a dimension (e.g., no market data available, no codebase to analyze for technical evaluation), it returns "Insufficient Data" instead of guessing. The synthesizer adjusts weights accordingly, redistributing weight across the dimensions that have valid scores.
This prevents inflated or deflated scores from speculative assessments. The final output clearly marks which dimensions were scored with full data vs partial data, so the user knows where to provide more context for a more accurate evaluation.
Language
All evaluators respond in the same language the user writes in. Detected automatically — no configuration needed.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: JuanMarchetto
- Source: JuanMarchetto/agent-skills
- License: MIT
- Homepage: https://github.com/JuanMarchetto/agent-skills
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.