Install
$ agentstack add skill-tikalk-adlc-team-skills-architect-analyze ✓ 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.
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Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
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How agent discovery & health will work →About
architect-analyze
What this skill does
Performs a read-only architecture consistency analysis between ADRs (Architecture Decision Records) and AD (Architecture Description). It identifies discrepancies, quality issues, and gaps without modifying any files.
Key analysis dimensions:
- ADR Quality — Completeness, clarity, and standards compliance
- ADR to AD Consistency — Bidirectional drift detection
- Internal Consistency — Cross-artifact coherence
- Staleness Detection — Outdated references and placeholders
This skill validates architecture artifacts for consistency, completeness, and quality.
When to use
- After
/architect-implement— Validate generated AD.md - After
/architect-clarify— Verify ADR refinements - Before feature development — Ensure architecture is solid
- During architecture review — Quality gate for architecture docs
- Periodically — Detect drift as the codebase evolves
Do not use when no architecture artifacts exist; use /architect-init or /architect-specify first. Do not use to create architecture — this is analysis-only.
Process
User Input
Consider the user input before proceeding (if not empty):
$ARGUMENTS
Examples:
"system"— Focus on root-level AD.md and adr/ directory only"feature auth"— Focus on specific feature architecture"adrs"— Focus on ADR quality and inter-ADR consistency"views"— Focus on AD.md view completeness and internal consistency- Empty input — Full analysis of all architecture artifacts
Goal
Perform read-only architecture consistency analysis. Identify discrepancies, quality issues, and gaps without modifying any files.
Operating Constraints
STRICTLY READ-ONLY: Do not modify any files. Output a structured analysis report. Offer remediation suggestions (user must explicitly approve before any follow-up editing commands would be invoked manually).
Constitution Authority: The project constitution (memory/constitution.md) is non-negotiable within this analysis scope. Constitution conflicts are automatically CRITICAL.
Role & Context
Act as an Architecture Analyst validating architecture documentation quality:
- Validate ADR completeness against MADR standards
- Detect drift between ADRs and AD.md
- Identify internal inconsistencies across artifacts
- Flag staleness and quality issues
Architecture document hierarchy:
| Document | Location | Purpose | |----------|----------|---------| | AD.md | Project root | Full Architecture Description (Rozanski & Woods) | | adr/ | {REPO_ROOT}/.adlc/memory/ | System-level ADRs (individual files) | | constitution.md | {REPO_ROOT}/.adlc/memory/ | Governance principles and constraints |
Outline
- Initialize Analysis Context — Load architecture artifacts
- Determine Analysis Scope — System, feature, or full
- Execute Detection Passes — A through G
- Assign Severities — CRITICAL/HIGH/MEDIUM/LOW
- Generate Report — Structured markdown analysis
- Provide Next Actions — Remediation suggestions
Phase 1: Initialize Analysis Context
Objective: Load all architecture artifacts for analysis
- Run Setup Script:
- Execute
scripts/bash/setup-architect.shfrom repo root - Parse JSON for file paths and existence status
- Load System-Level Artifacts:
- Read
AD.md(project root) if exists - Read ADRs from all locations (priority order):
{REPO_ROOT}/.adlc/memory/adr.md(canonical — Accepted ADRs){REPO_ROOT}/.adlc/drafts/adr/(working copy — Proposed/Discovered, individual file format)
- Read
{REPO_ROOT}/.adlc/memory/constitution.mdif exists
- Load Feature-Level Artifacts (if analyzing features):
- Scan
specs/*/AD.mdfor feature architectures - Scan
specs/*/adr/ADR-*.mdfor feature ADRs
- Build Artifact Inventory:
| Artifact | Path | Status | |----------|------|--------| | System AD | AD.md | Found/Missing | | System ADRs (canonical) | {REPO_ROOT}/.adlc/memory/adr.md | Found/Missing | | System ADRs (drafts) | {REPO_ROOT}/.adlc/drafts/adr/ | Found/Missing | | Constitution | {REPO_ROOT}/.adlc/memory/constitution.md | Found/Missing | | Feature ADs | specs/*/AD.md | Count: N | | Feature ADRs | specs/*/adr/ | Count: N |
Phase 2: Determine Analysis Scope
Objective: Focus analysis based on user input
| User Input | Scope | Artifacts Analyzed | |------------|-------|-------------------| | (empty) | Full | All system artifacts | | "system" | System only | AD.md, system ADR locations | | "adrs" | ADR quality | All ADR files | | "views" | AD completeness | AD.md |
Phase 3: Execute Detection Passes
Focus on high-signal findings. Limit to 50 findings total; aggregate remainder in overflow summary.
Pass A: ADR Quality Analysis
Objective: Validate each ADR against MADR standards
Quality Dimensions:
| Dimension | Check | Severity if Missing | |-----------|-------|---------------------| | Context | Problem clearly stated, forces documented | MEDIUM | | Decision | Actionable, testable decision statement | HIGH | | Positive Consequences | Benefits documented | MEDIUM | | Negative Consequences | Trade-offs acknowledged | HIGH | | Risks | Identified with mitigations | MEDIUM | | Alternatives | At least 2 options with neutral trade-offs | HIGH | | Status | Valid status (Proposed/Accepted/Deprecated/Superseded/Discovered) | LOW | | Constitution Alignment | MUST principles complied with | CRITICAL |
ADR Quality Checklist:
For each ADR, verify:
- [ ] Clear context explaining the problem/opportunity
- [ ] Explicit, actionable decision statement
- [ ] Positive AND negative consequences documented
- [ ] Common Alternatives with neutral trade-offs (not "Rejected because")
- [ ] Risks identified with mitigation strategies
- [ ] Valid status value
- [ ] No conflicts with constitution MUST principles
Pass B: Inter-ADR Consistency
Objective: Detect conflicts and inconsistencies between ADRs
Checks:
- Conflicting Decisions:
- ADRs that contradict each other (e.g., one chooses PostgreSQL, another assumes MongoDB)
- Technology stack incoherence
- Missing Dependencies:
- ADRs that should reference each other but don't
- Implicit assumptions about other decisions
- Terminology Drift:
- Same concept named differently across ADRs
- Inconsistent component naming
- Technology Stack Coherence:
- Frontend/backend/infrastructure choices align
- No conflicting framework decisions
Pass C: ADR to AD Drift (Forward Sync)
Objective: Detect ADR decisions not reflected in AD.md
Checks:
| ADR Element | Expected in AD.md | View/Section | |-------------|-------------------|--------------| | System architecture style | Context View | 3.1 | | Database choice | Information View | 3.3 | | API style | Functional View | 3.2 | | Authentication approach | Security Perspective | 4.1 | | Deployment platform | Deployment View | 3.6 | | CI/CD approach | Development View | 3.5 | | Scaling strategy | Performance Perspective | 4.2 | | Caching strategy | Information View | 3.3 |
Detection Logic:
For each ADR:
- Identify the ADR's primary view impact (use mapping table above)
- Search AD.md for reflection of that decision
- Flag if decision is absent or contradicted
Pass D: AD to ADR Drift (Backward Sync)
Objective: Detect AD.md elements without supporting ADRs
Checks:
- Components Without ADRs:
- Major components shown in Functional View without decision rationale
- External dependencies in Context View without ADR justification
- Patterns Without Rationale:
- Architectural patterns described but not explained via ADR
- Technology choices embedded in views without supporting decision
- Infrastructure Decisions:
- Deployment topology without infrastructure ADR
- Scaling approach without performance ADR
Pass E: AD Internal Consistency
Objective: Validate AD.md coherence across views
Checks:
- Cross-View Consistency:
- Same components named identically across all views
- Data entities in Information View match Functional View references
- Deployment nodes consistent with Functional components
- Diagram-Text Alignment:
- Mermaid diagrams match prose descriptions
- No components in diagrams missing from text
- No components in text missing from diagrams
- View Completeness:
- Required sections present (Introduction, Stakeholders, Views, Perspectives)
- Core views included (Context, Functional, Information, Development, Deployment)
- Perspectives addressed (Security, Performance)
- Diagram Syntax Validation:
- Mermaid syntax valid (no broken diagrams)
- Consistent styling across diagrams
- View File Consistency (DAG State Validation):
- Check if
.adlc/architect/state.jsonexists and reports views as "completed" - Check if
.adlc/architect/views/directory exists - Verify that for each "completed" view in state.json, a corresponding file exists on disk
- Flag as HIGH severity if:
- state.json reports views "completed" but views/ directory is empty
- View files exist but are under 20 lines (placeholder/skeleton content)
- View files cannot be read (corrupted/missing permissions)
- Report format:
``` DAG State Inconsistency Detected:
- State reports: [N] views completed
- Files on disk: [M] view files found
- Missing files: [list of missing views]
- Recommendation: Regenerate views or reset state.json
```
- Technology Neutrality (Functional View):
- Scan Functional View (§3.2) for product/vendor names in element descriptions and Mermaid diagrams
- Architectural roles (acceptable): Database, Object Storage, Cache, Message Queue, AI Gateway, Workflow Runtime, App Shell, API Gateway, Authentication Service, etc.
- Product names (flag as MEDIUM): PostgreSQL, Neon, Vercel, Next.js, Redis, MongoDB, AWS, Azure, S3, etc.
- Severity: MEDIUM — Not blocking but indicates abstraction violation
- Note: ADR Traceability sections may reference products (that's acceptable); only flag element descriptions and diagram labels
- Functional-Development Mapping:
- Verify Development View (§3.5) contains a Technology Stack Mapping table (§3.5.2)
- Check that every element in Functional View's element table (§3.2.1) has at least one corresponding entry in the mapping table
- N:1 mappings (multiple functional elements → one technology) are acceptable
- Severity: MEDIUM if elements are missing; LOW if mapping table is absent
- Cross-check: Technology Architecture diagram (§3.5.3) should mirror Functional View diagram (§3.2.2) structure
Pass F: Staleness Detection
Objective: Identify outdated references and placeholders
Checks:
- Deprecated ADRs Still Referenced:
- AD.md references ADRs with status "Deprecated"
- Superseded decisions still implemented
- Placeholder Detection:
[TODO],[TBD],[PLACEHOLDER]markers[SYSTEM_NAME],[STAKEHOLDER_*]unfilled???,..., `` patterns
- Date Inconsistencies:
- ADR dates significantly older than AD last-updated
- Feature architecture out of sync with system architecture
- Orphaned References:
- ADR IDs mentioned but ADR doesn't exist
- Component names referenced but not defined
Pass G: Feature-System Alignment (if feature architecture exists)
Objective: Validate feature architecture fits within system boundaries
Checks:
- Feature ADR Alignment:
- Feature ADRs marked "Aligns with ADR-XXX" reference valid system ADRs
- No VIOLATION flags without documented justification
- Feature decisions consistent with system constraints
- Boundary Compliance:
- Feature components fit within system Functional View structure
- Feature data entities align with system Information View
- Feature doesn't exceed system scope (Context View)
- Integration Points:
- Feature-to-system interfaces documented
- Data flow across feature boundary consistent
Phase 4: Severity Assignment
Severity Criteria:
| Severity | Criteria | Examples | |----------|----------|----------| | CRITICAL | Constitution violation, security/data integrity gap, missing core ADR | ADR violates MUST principle, major component undocumented | | HIGH | ADR to AD drift affecting implementation, conflicting ADRs, missing alternatives | Database choice in ADR but wrong DB in AD, two ADRs conflict | | MEDIUM | Incomplete consequences, staleness, terminology drift, missing optional views | ADR lacks negative consequences, TODO placeholders | | LOW | Style improvements, minor documentation gaps, optional details | Inconsistent formatting, minor wording issues |
Phase 5: Generate Analysis Report
Output Format:
## Architecture Analysis Report
### Analysis Summary
| Attribute | Value |
|-----------|-------|
| **Mode** | [Full/System/Feature/ADRs/Views] |
| **Scope** | [Description of what was analyzed] |
| **Files Analyzed** | [List of files] |
| **Analysis Date** | [Current date] |
### Findings
| ID | Pass | Severity | Location | Summary | Recommendation |
|----|------|----------|----------|---------|----------------|
| A1 | ADR Quality | MEDIUM | ADR-003 | Missing negative consequences | Add trade-offs section |
| B1 | Inter-ADR | HIGH | ADR-002, ADR-005 | Conflicting database choices | Resolve PostgreSQL vs MongoDB conflict |
| C1 | ADR->AD Drift | HIGH | ADR-005 | Caching decision not in Information View | Update AD.md 3.3 |
| D1 | AD->ADR Drift | HIGH | AD.md:3.2 | Redis component has no ADR | Create ADR for cache choice |
| E1 | AD Consistency | MEDIUM | AD.md:3.2/3.6 | Component naming mismatch | Standardize "AuthService" naming |
| F1 | Staleness | LOW | AD.md:3.1 | [SYSTEM_NAME] placeholder | Fill in system name |
| G1 | Feature Align | HIGH | specs/auth/adr.md | VIOLATION flag unresolved | Document override justification |
### Coverage Metrics
| Metric | System | Feature: auth | Feature: payments |
|--------|--------|---------------|-------------------|
| ADR Count | 13 | 3 | 2 |
| AD Views Complete | 5/7 | 3/5 | 3/5 |
| ADR->AD Coverage | 85% | 100% | 67% |
| AD->ADR Coverage | 92% | 100% | 100% |
| Quality Score | 78% | 85% | 72% |
### Constitution Alignment
| Status | Count | Details |
|--------|-------|---------|
| Compliant | [N] | ADRs following MUST principles |
| Violations | [N] | ADRs violating MUST principles (CRITICAL) |
| Deviations | [N] | Justified SHOULD principle deviations |
### Issue Distribution
| Severity | Count |
|----------|-------|
| CRITICAL | [N] |
| HIGH | [N] |
| MEDIUM | [N] |
| LOW | [N] |
### Next Actions
Based on findings, recommended actions:
**If CRITICAL issues exist:**
- **Immediate**: Resolve constitution violations before proceeding
- Command: `/architect-clarify` to address ADR compliance
**If HIGH ADR quality issues:**
- **Refine**: Address missing alternatives and consequences
- Command: `/architect-clarify` to improve ADR quality
**If ADR->AD drift detected:**
- **Sync AD**: Update AD.md to reflect ADR decisions
- Command: `/architect-implement` to regenerate views
**If AD->ADR drift detected:**
- **Document**: Create missing ADRs for undocumented decisions
- Command: `/architect-specify` or `/architect-init` to add ADRs
**If feature alignment issues:**
- **Align**: Resolve feature-system boundary violations
- Command: Run `/architect-specify` or `/architect-init` to create missing ADRs
Phase 6: Offer Remediation
After presenting the report, ask:
> "Would you like me to suggest specific remediation steps for the top [N] issues? I can provide detailed guidance for each finding, though I will
…
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: tikalk
- Source: tikalk/adlc-team-skills
- License: MIT
- Homepage: https://github.com/tikalk/agentic-sdlc-12-factors
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.