{"slug":"etr-design-architecture","name":"design-architecture","description":"This skill should be used when the user asks to design system architecture, make architectural decisions, or translate PRD into technical design","long_description":"---\nname: design-architecture\ndescription: This skill should be used when the user asks to design system architecture, make architectural decisions, or translate PRD into technical design\nargument-hint: \"[feature-name]\"\n---\n\n# Architecture Design Skill\n\nInteractive workflow for translating product requirements into architecture through iterative decision-making.\n\n## File Locations\n\n- **Input:** `{{specs_dir}}/product_specs.md` (PRD with EARS requirements)\n- **Output:** `{{specs_dir}}/architecture.md` (architecture document with decisions)\n\n## Workflow Overview\n\n1. **Load Context** - Read PRD and understand requirements\n2. **Identify Decisions** - List architectural decisions to make\n3. **Iterate Decisions** - For each decision: present options → discuss → decide\n4. **Document** - Write architecture with full decision records\n\n## Design Principles\n\nAnchor decisions on the named principles in `${CLAUDE_PLUGIN_ROOT}/references/engineering-principles.md` — favor **deep modules** (simple interface, substantial functionality), minimize the surface **Hyrum's Law** will freeze into a contract, and **design it twice** before committing to a module boundary. When a decision passes the decision-record gate (in the principles file), record it using the Decision Record Format (ADR-lite) below. Sharpen the shared vocabulary with [[domain-modeling]].\n\n## Pre-flight: Model Recommendation\n\n**Your current effort level is `{{effort_level}}`.**\n\nSkip this step silently if effort is `high`, `xhigh`, or `max` (the scale is `low` < `medium` < `high` < `xhigh` < `max`, so `xhigh` and `max` are already above `high`) AND you are Opus (1M context).\nIf effort is `low` or `medium` (i.e. below `high`), you MUST show the recommendation prompt — regardless of model.\nIf you are not Opus (1M context), you MUST show the recommendation prompt - regardless of effort level.\n\nOtherwise → use `AskUserQuestion`:\n\n```json\n{\n  \"questions\": [{\n    \"question\": \"Do you want to switch? Cross-decision conflict detection and trade-off synthesis across NFRs benefit from deeper reasoning.\\n\\nTo switch: cancel, run `/model opus[1m]` and `/effort high`, then re-invoke this skill.\",\n    \"header\": \"Recommended: Opus (1M context) at high effort\",\n    \"options\": [\n      { \"label\": \"Continue\" },\n      { \"label\": \"Cancel — I'll switch first\" }\n    ],\n    \"multiSelect\": false\n  }]\n}\n```\n\nIf the user selects \"Cancel — I'll switch first\": output the switching commands above and stop. Do not proceed with the skill.\n\n## Step 0: Resolve Project Context\n\n**Before anything else, resolve the project context:**\n\n1. **Monorepo check:** Does `.groundwork.yml` exist at the repo root?\n   - If yes → Is `{{project_name}}` non-empty?\n     - If empty → Invoke `Skill(skill=\"groundwork:select-project\")` to select a project, then restart this skill.\n     - If set → Project is `{{project_name}}`, specs at `{{specs_dir}}/`.\n   - If no → Continue to item 3.\n2. **CWD mismatch check (monorepo only):**\n   - Skip if not in monorepo mode or if the project was just selected in item 1 above.\n   - If CWD is the repo root → fine, proceed.\n   - Check which project's path CWD falls inside (compare against all projects in `.groundwork.yml`).\n   - If CWD is inside the selected project's path → fine, proceed.\n   - If CWD is inside a different project's path → warn via `AskUserQuestion`:\n     > \"You're working from `<cwd>` (inside **[cwd-project]**), but the selected Groundwork project is **[selected-project]** (`[selected-project-path]/`). What would you like to do?\"\n     > - \"Switch to [cwd-project]\"\n     > - \"Stay with [selected-project]\"\n     If the user switches, invoke `Skill(skill=\"groundwork:select-project\")`.\n   - If CWD doesn't match any project → proceed without warning (shared directory).\n3. **Check `{{specs_dir}}/`:** Does a specs directory exist?\n   - If yes → Single-project repo, proceed normally.\n   - If no → Ask the user: \"Is this a single-project repo or a monorepo with multiple projects?\"\n     - **Single project** → Proceed normally (specs will be created at `{{specs_dir}}/`)\n     - **Monorepo** → Invoke `Skill(skill=\"groundwork:setup-repo\")` to create `.groundwork.yml`, then continue.\n\n## Step 1: Load Context\n\nRead the product specs (may be single file or directory) and extract:\n- Non-functional requirements (latency, scale, security, compliance)\n- Feature list and EARS requirements\n- Implicit constraints (budget, team size, timeline if mentioned)\n\n**Detection:** Check for `{{specs_dir}}/product_specs.md` first (single file), then `{{specs_dir}}/product_specs/` directory. When reading a directory, aggregate all `.md` files recursively with `_index.md` first, then numerically-prefixed files, then alphabetically.\n\nIf PRD doesn't exist, prompt user to run `/groundwork:design-product` first.\n\nSummarize key architectural drivers:\n> \"Based on your PRD, the key architectural drivers are:\n> - [Driver 1 from NFRs]\n> - [Driver 2 from features]\n> I'll need to make decisions about [list 3-5 major areas]. Let's start with [most foundational one].\"\n\n## Step 2: Identify Decision Areas\n\nCommon architectural decision categories:\n\n| Category | Example Decisions |\n|----------|-------------------|\n| **Compute** | Serverless vs containers vs VMs, orchestration |\n| **Data** | Database type, multi-tenancy strategy, caching |\n| **API** | REST vs GraphQL, gateway pattern, versioning |\n| **Frontend** | SPA vs SSR, framework choice, state management |\n| **Auth** | Identity provider, token strategy, authorization model |\n| **Integration** | Sync vs async, message queues, event sourcing |\n| **Infrastructure** | Cloud provider, IaC approach, environments |\n| **Observability** | Logging, metrics, tracing, alerting |\n| **Security** | Encryption, network isolation, secrets management |\n| **Cost** | Pricing model alignment, reserved vs on-demand |\n\nPrioritize decisions by dependency (foundational first).\n\n## Step 3: Research Technologies\n\nBefore presenting decision options, gather research on relevant technologies.\n\n**For each decision area identified:**\n\n1. Identify the primary technologies/frameworks being considered\n2. Invoke the researcher agent:\n   ```\n   Agent(\n     subagent_type=\"groundwork:researcher:researcher\",\n     prompt=\"Research Topic: [technology]\n     Research Questions:\n     - What is the stable vs latest version?\n     - What is the recommended ecosystem for [use case]?\n     - What are common architectural pitfalls?\n     - What has been deprecated recently?\n\n     Project Context: [from PRD]\n     Constraints: [from user/PRD]\"\n   )\n   ```\n\n3. Use research findings to:\n   - Inform pros/cons in option presentations\n   - Add version recommendations to options\n   - Include ecosystem compatibility in trade-offs\n   - Surface pitfalls in cons sections\n   - Reference sources for credibility\n\n**Research Integration:**\nWhen presenting options in Step 4, incorporate research findings:\n- Add \"(stable: X.Y, latest: A.B)\" to technology names\n- Include ecosystem compatibility in pros/cons\n- Note known pitfalls in cons sections\n- Cite sources when making specific claims\n\n## Step 4: Iterate on Each Decision\n\nFor each decision point, present **2-4 options** using this format:\n\n```markdown\n## Decision: [Decision Name]\n\n**Context:** [Why this decision matters, link to PRD requirements]\n\n### Option A: [Name]\n**Description:** [1-2 sentences]\n**Pros:**\n- [Pro 1, ideally linked to PRD requirement]\n- [Pro 2]\n**Cons:**\n- [Con 1, note if it conflicts with PRD requirement]\n- [Con 2]\n**Cost implications:** [Rough estimate if relevant]\n\n### Option B: [Name]\n[Same structure]\n\n### Option C: [Name] (if applicable)\n[Same structure]\n\n**My recommendation:** [Option X] because [reasoning tied to PRD].\n\nWhat are your thoughts? Any constraints I should know about?\n```\n\n**Presentation style:**\n- Present one decision at a time, wait for resolution before moving on\n- For complex options, break explanation into digestible chunks (200-300 words)\n- Prefer multiple-choice follow-up questions when gathering constraints\n\n### Exploratory Questions\n\nWhen presenting options, ask questions to surface hidden constraints:\n- \"What's your team's experience with [technology X vs Y]?\"\n- \"Are there constraints I should know about? (existing systems, team skills, budget, timeline)\"\n- \"What would you regret in 2 years if we chose wrong here?\"\n- \"Is there organizational momentum toward any particular approach?\"\n- \"What's the cost of changing this decision later if it proves wrong?\"\n\n### Decision Conflict Detection\n\nBefore recording a decision, check for conflicts with earlier decisions:\n\n**Check against existing decisions:**\n- Does this decision contradict or undermine a previous DR?\n- Are we choosing a technology incompatible with earlier choices?\n- Does this create inconsistency in the architecture?\n\n**If conflict detected:**\n> \"This decision may conflict with DR-NNN:\n> - DR-NNN chose [X] for [reason]\n> - This decision would require [Y], which is incompatible because [explanation]\n>\n> Options:\n> 1. Proceed with new decision and update DR-NNN\n> 2. Modify this decision to align with DR-NNN\n> 3. Accept both and document the exception\n>\n> Which approach?\"\n\n**After user input:**\n- If user agrees: Record decision and move to next\n- If user has concerns: Discuss, possibly add new options\n- If user wants to defer: Note as open question, continue\n- If conflict identified: Resolve before proceeding\n\n### YAGNI for Architecture\n\n- Challenge decisions that add complexity \"for future flexibility\"\n- Prefer simple solutions that can evolve over pre-designed extensibility\n- When in doubt, choose the option with fewer moving parts\n- Ask: \"What's the cost of adding this later vs. building it now?\"\n\n## Step 4.5: Design It Twice (module interfaces)\n\nSteps 3–4 chose *what to build with*. For any non-trivial new module, service boundary, or public API in this design, also decide *how the interface is shaped* — and your first shape is rarely the best.\n\nInvoke `Skill(skill=\"groundwork:design-it-twice\")`: frame the problem, generate 2–3 divergent designs (parallel `Agent` fan-out when available, sequential otherwise — no agent teams needed), compare them on depth / locality / seam, and carry an opinionated recommendation into the decision records. Skip for designs with no non-trivial new interface.\n\n## Step 5: Document Architecture\n\nWhen all major decisions are made, create the architecture document using template in `${CLAUDE_PLUGIN_ROOT}/references/architecture/architecture-template.md`.\n\n**Output location:** `{{specs_dir}}/architecture.md` (single file by default)\n\n**Critical:** Include ALL decision records with discarded options and reasoning. This is essential for future maintainers to understand *why* choices were made.\n\nPresent the complete document for review before writing.\n\n### Architecture Validation\n\nBefore writing the architecture document, validate it against the PRD:\n\n1. Invoke the prd-architecture-checker agent with draft architecture content and PRD content:\n   ```\n   Agent(\n     subagent_type=\"groundwork:prd-architecture-checker:prd-architecture-checker\",\n     prompt=\"Validate architecture against PRD\n\n     Architecture Draft: [full draft content]\n\n     PRD Content: [product_specs.md content]\n\n     Feature List: [extracted features]\n\n     NFR List: [extracted NFRs]\n\n     Constraints: [budget, timeline, team from PRD]\"\n   )\n   ```\n\n2. If verdict is `request-changes`:\n   - Present findings to user with specific gaps identified\n   - Address critical and major findings by updating the architecture\n   - Re-validate until approved\n\n3. If verdict is `approve`:\n   - Proceed to write `{{specs_dir}}/architecture.md`\n   - Note any minor findings as suggestions for documentation improvement\n\n## Step 5a: Auto-Split Check\n\n**Skip this step if the architecture doc is already in directory mode.**\n\nAfter writing the architecture document, check whether it should be split:\n\n1. Count lines: `wc -l {{specs_dir}}/architecture.md`\n2. 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Creators can claim the listing to update ownership signals."},"stats":{"stars":42,"forks":5,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":29.43},"quality":{"score":58,"tier":"promising","label":"Promising","summary":"Useful candidate, but compare it with alternatives before adopting.","signals":[{"label":"GitHub stars","value":"42","tone":"neutral"},{"label":"Freshness","value":"27d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["Low GitHub adoption signal"]},"trust":{"version":"trust-score-v5","score":62,"base_score":70,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. 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Skill purpose: This skill should be used when the user asks to design system architecture, make architectural decisions, or translate PRD into technical design After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"etr-design-architecture\",\"task\":\"Install design-architecture\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes. Recorded instruction path: skills/design-architecture/SKILL.md. Recorded revision: 51e554416f9d70a9bda456e10e4c75d80cd00fb7. Confirm the source matches these instructions. Before installing, identify the supported agent, runtime dependencies, API keys, paid services, license and permissions; mark anything not documented as unknown rather than free or compatible. 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Skill purpose: This skill should be used when the user asks to design system architecture, make architectural decisions, or translate PRD into technical design After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"etr-design-architecture\",\"task\":\"Install design-architecture\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes. Recorded instruction path: skills/design-architecture/SKILL.md. Recorded revision: 51e554416f9d70a9bda456e10e4c75d80cd00fb7. Confirm the source matches these instructions. Before installing, identify the supported agent, runtime dependencies, API keys, paid services, license and permissions; mark anything not documented as unknown rather than free or compatible. 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