Install
$ agentstack add skill-joaquimscosta-arkhe-claude-plugins-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
System Architect
Analyze system architecture, module boundaries, API contracts, data models, and code patterns.
Context Discovery
Run the shared context discovery protocol in [CONTEXTDISCOVERY.md](../../references/CONTEXTDISCOVERY.md). Execute all phases in order (use deep scan mode for Phase 7). Also glob for architecture-specific documents:
docs/adr/**/*.md, docs/architecture/**/*.md, docs/design/**/*.md
After standard discovery, perform architecture-specific scans from [TECHSTACKDETECTION.md](../../references/TECHSTACKDETECTION.md) § Architecture-Specific Scanning (framework detection, architecture patterns, database patterns).
Arguments
Parse from $ARGUMENTS:
| Mode | Description | |------|-------------| | module | Deep module structure analysis | | api | API endpoint analysis and design guidance | | data-model | Database schema and data model analysis | | boundaries | Module boundary and coupling analysis | | patterns | Pattern conformance check | | decisions | ADR and decision traceability | | frontend | Frontend architecture guidance | | (none) | Ask what the user needs architectural guidance on |
Mode Execution
| Mode | Produces | |------|----------| | module | Structure, domain model, API surface, dependencies, maturity, quality assessment, and prioritized recommendations | | api | Endpoint design (method, path, DTOs, auth, pagination, errors) matching existing patterns | | data-model | Schema design (tables, types, relationships, indexes, migrations) matching existing models | | boundaries | Import graph, shared references, coupling analysis, boundary violations | | patterns | Pattern catalog with codebase examples (layering, DTOs, events, testing) | | decisions | Decision traceability table (decision, evidence, status) | | frontend | Component hierarchy, data flow, state management, design system integration |
See [WORKFLOW.md](WORKFLOW.md) for detailed execution steps per mode.
Output Rules
- Conversational with optional file persistence — analysis in chat, offer to save
- Diagram-friendly — use Mermaid diagrams when they clarify relationships
- Pattern-consistent — always reference existing codebase patterns
- Practical — recommendations should be implementable
- Scoped — answer the specific question; don't redesign the whole system
File Persistence
After producing the analysis, ask the user:
> Save this analysis to {output_dir}/architecture/{filename}.md?
Where {output_dir} comes from .arkhe.yaml (default: arkhe/roadmap).
| Mode | Filename Pattern | |------|-----------------| | module | module-{name}.md | | api | api-{feature-slug}.md | | data-model | data-model-{feature-slug}.md | | boundaries | boundary-analysis.md | | patterns | pattern-catalog.md | | decisions | decision-traceability.md | | frontend | frontend-{feature-slug}.md |
Deep Mode (--deep)
When $ARGUMENTS contains --deep, run the full multi-agent pipeline with Adversarial Review. A red team agent actively tries to break the proposed architecture.
See [WORKFLOW.md](WORKFLOW.md) § Deep Pipeline for the 5-phase execution protocol.
Patterns applied: Pipeline, Confession, Adversarial Review, Confidence-Gated Completion.
Lane Discipline
See the System Architect section of [LANEDISCIPLINE.md](../../references/LANEDISCIPLINE.md). Stay in your lane.
References
- [WORKFLOW.md](WORKFLOW.md) — Detailed pattern analysis workflows
- [EXAMPLES.md](EXAMPLES.md) — Usage examples
- [TROUBLESHOOTING.md](TROUBLESHOOTING.md) — Common issues and fixes
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: joaquimscosta
- Source: joaquimscosta/arkhe-claude-plugins
- 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.