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/atlas

@965f4f9
by shingo imotasimota/agent-skills85 stars
15

Analyzing dependencies, circular references, and God Classes; authoring ADRs/RFCs. Use for architecture improvement, module decomposition, and technical debt assessment.

Use this Skill: https://skilld.dev/gh/simota/agent-skills/atlas

This session only. Nothing lands on disk.

referencetri-engine-architect.md

≈1.5k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Multi-Engine Architecture Deliberation

Load only for /atlas multi. Shared dispatch, capability/authorization, capture and degraded-mode rules: _common/MULTI_ENGINE_RECIPE.md and _common/CLI_COMPATIBILITY.md. This is Pattern H: smell confidence and option diversity are separate axes.

SCOPE / FAN-OUT

Supply the same actual scope, concern (greenfield/bottleneck/debt/modernization/boundary), forces (scale, team, regulation, deployment, latency), prior ADRs/graph/metrics and must-keep/banned/runtime constraints to every selected engine. Names: architect-codex, architect-agy, architect-claude; bind invocation through the shared CLI adapter, not a copied wrapper.

Ask for 2–3 smells and 1–2 options per engine. Do not provide MADR/42010 templates, preferred styles (including Modular Monolith/Vertical Slice) or fitness-function catalogs to the independent analysts; apply those in main-context synthesis. Require a named style, both positive and negative trade-offs, migration/rollback and reversibility per option. Never invent a module or measured value. Re-emit Markdown as JSON before integration.

Two-Stream Payload

{
  "engine": "codex|agy|claude",
  "architectural_smells": [
    {
      "smell": "Cyclic dependency between Auth and Billing modules",
      "evidence": "file/path or metric — Ca=12, Ce=9, instability I=0.43",
      "severity": "CRITICAL|HIGH|MEDIUM|LOW",
      "concern_class": "coupling|cohesion|layering|boundary|complexity|scalability|reliability|evolvability"
    }
  ],
  "adr_options": [
    {
      "option_name": "Extract shared Identity module via Dependency Inversion",
      "architectural_style": "Layered | Hexagonal | DDD | Event-Driven | Modular-Monolith | Microservices | CQRS | Vertical-Slice | Pipeline | Plugin",
      "problem_statement": "Forces at play — what the decision must reconcile",
      "recommendation": "One-paragraph description of the proposed approach",
      "trade_offs": {
        "positive": ["consequence 1", "consequence 2"],
        "negative": ["consequence 1", "consequence 2"]
      },
      "risks": ["risk 1 with likelihood/impact", "risk 2"],
      "migration_strategy": "Strangler Fig phases | Branch-by-Abstraction | Big-bang justification | Incremental refactor sequence",
      "rollback_plan": "Concrete rollback step or feature-flag fallback",
      "fitness_function": "CI-integrated check that would detect regression (ArchUnit / dependency-cruiser / custom rule)",
      "effort_class": "S|M|L|XL",
      "reversibility": "TYPE-1 (one-way door) | TYPE-2 (reversible)"
    }
  ],
  "engine_notes": "Optional: evidence or uncertainty affecting this engine output"
}

CLUSTER / SCORE

Cluster smells only when subject (module/boundary/SCC), concern_class and semantic concern all match. Cluster options only when architectural style, primary intervention and migration-strategy class all match. Options for the same problem in different styles stay separate. Record the engine set and addressed smell-cluster IDs for each option.

Use the actual usable-engine denominator from the shared contract. With three engines: smells 3/3 CONFIRMED, 2/3 LIKELY, 1/3 CANDIDATE; options 3/3 CONVERGENT, 2/3 CONVERGENT-PARTIAL, 1/3 DIVERGENT-{style}. With two: 2/2 is full convergence, 1/2 is candidate/divergent, and LIKELY is unavailable. A healthy two-engine run is not a failed three-engine run.

Promote grounded convergence to the recommendation; preserve grounded dissent as named alternatives with a rejection reason and reconsideration trigger. Do not fabricate an engine dissent when none exists, or discard a viable style because only one engine proposed it.

GROUND — Main Context

For each smell, verify cited entities/edges/metrics, check mitigation by existing ADR/refactor/fitness functions, and calibrate severity against reference/coupling-metrics.md. Record VERIFIED / LIKELY-VERIFIED / REJECTED-{reason} / NEEDS-INFO under the shared rubric.

For each option, verify feasibility against actual constraints and TYPE-1/TYPE-2 reversibility against the blast radius. Apply reference/adr-rfc-templates.md's completion checks: no benefits-only/strawman/fashion-driven proposal, no missing downstream/operations perspective, and no distributed-monolith synchronous-chain trap. Record VERIFIED / REJECTED-{reason} / NEEDS-TRADE-OFF. Concurrence never establishes existence or removes the grounding requirement.

SYNTHESIZE / PRESENT

Emit one consensus ADR at docs/architecture/decisions/ADR-NNNN-{slug}.md (respect an existing project convention), or the requested RFC from reference/adr-rfc-templates.md. Preserve its narrative, and add:

status: Proposed
date: YYYY-MM-DD
deciders: [team or stakeholder list]
tri_engine:
  engines_run: [actual engines]
  engines_failed: [failed engines or none]
  smell_confidence: CONFIRMED=N, LIKELY=N, VERIFIED-CANDIDATE=N
  option_perspective: CONVERGENT=N, CONVERGENT-PARTIAL=N, DIVERGENT=N

Required additions to the base artifact:

  • Context grounded in verified smells; decision drivers; named considered options with engine/confidence/perspective attribution; chosen option and the main context's own constraint-based rationale.
  • Trade-off matrix across recommendation and dissent: coupling impact, operational burden, migration cost, reversibility, team-topology fit and fitness-function coverage.
  • Positive/negative consequences and risks, including risks avoided by dissenting options. For each dissenting option: style, trade-offs, risks, migration, reversibility, why not chosen, and the condition for reconsideration.
  • Chosen migration strategy, concrete rollback, fitness-function specification, and appropriate next-agent handoff.
  • Engine status, smell coverage, style diversity/coverage gaps, confidence/perspective distributions and condensed rejection counts by reason. Keep rejected material and raw engine output out of the main narrative.

With one usable engine label the artifact single-engine, never consensus; retain defensible alternatives without false attribution. With zero use adr; trivial local choices route to analyze/zen.

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub13d

    The 'atlas' skill is a professional architecture analysis agent designed to manage technical debt and architectural decisions. A security analysis identified no critical vulnerabilities such as credential theft, malicious code execution, or obfuscation. The skill presents a low-severity surface for indirect prompt injection because it is designed to ingest and analyze untrusted project data, including source code and dependency manifests. The skill incorporates defensive grounding mechanisms and recommends architectural fitness functions to mitigate risks associated with untrusted inputs.

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    Risk: LOW · No issues

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    Score: 93/100 · 2 sections analyzed

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