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scaffold
// [Architecture] Use when scaffolding reusable OOP/SOLID project foundations before feature implementation.
// [Architecture] Use when scaffolding reusable OOP/SOLID project foundations before feature implementation.
[HINT] Download the complete skill directory including SKILL.md and all related files
| name | scaffold |
| version | 1.0.0 |
| description | [Architecture] Use when scaffolding reusable OOP/SOLID project foundations before feature implementation. |
[BLOCKING] Execute skill steps in declared order. NEVER skip, reorder, or merge steps without explicit user approval. [BLOCKING] Before each step or sub-skill call, update task tracking: set
in_progresswhen step starts, setcompletedwhen step ends. [BLOCKING] Every completed/skipped step MUST include brief evidence or explicit skip reason. [BLOCKING] If Task tools are unavailable, create and maintain an equivalent step-by-step plan tracker with the same status transitions.
Goal: Generate and validate the project's architecture scaffolding — all base classes, interfaces, infrastructure abstractions, and reusable foundation code — BEFORE any feature story implementation begins.
Purpose: The scaffolded project should be copy-ready as a starter template for similar projects. All base code, utilities, interfaces, and infrastructure services are created. All setup follows best practices with generic functions any feature story could reuse.
Key distinction: This is architecture infrastructure creation, NOT feature implementation. Creates the foundation layer that all stories build upon.
Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).
ALL conditions must be true to proceed:
greenfield-init OR big-feature. If not → SKIP this skill entirely, mark step as completed.abstract class.*Base|Base[A-Z]\w+|Abstract[A-Z]\w+interface I\w+<|IGeneric|IBaseIRepository|IUnitOfWork|IService|IHandlerExtensions|Helpers|Utils|Common (directories or classes)base.*component|base.*service|base.*store|abstract.*component (case-insensitive)AddScoped|AddSingleton|providers:|NgModule|@Injectable/plan + /plan-review in greenfield-init or big-feature workflows/cook begins implementing feature storiesAskUserQuestion to confirm checklist before generating codeAI must self-investigate the chosen tech stack and produce a checklist covering these categories. Names below are illustrative — adapt to match the project's language, framework conventions, and actual needs.
Skip if: Backend-only project, no frontend component. Apply if: Project has ANY frontend.
docs/project-reference/design-system/README.md skeleton with: token naming conventions, component tier classification (Common/Domain-Shared/Page), usage examples (read directly when relevant; do not rely on hook-injected conversation text)MANDATORY IMPORTANT MUST ATTENTION scaffold ALL code quality enforcement tools as part of project infrastructure — code that passes without quality gates is technical debt from day one.
.editorconfig for cross-IDE consistency (indentation, encoding, line endings)MANDATORY MUST ATTENTION delegate ALL computational sensor setup to /linter-setup:
/linter-setup handles: tool research → install → configure → pre-commit hooks → CI gates/harness-setup handles: full harness inventory (feedforward guides + all feedback types)WHY: Code quality tooling is part of the project's outer agent harness. A checklist of installs is not a harness. A harness is a system of guides and sensors where each control fires at the right lifecycle stage and produces signals the agent can consume.
After scaffold, invoke (in order):
/linter-setup — computational feedback sensors (deterministic, fast, always-on)/harness-setup — full harness inventory (all feedforward guides + all feedback sensors)Do NOT proceed to /cook until both complete. (/scaffold verification gate enforces this)
Scaffold Production Readiness — See
<!-- SYNC:scaffold-production-readiness -->block above for full inline protocol.
Every scaffolded project MUST ATTENTION include these 4 foundations. AI must detect the tech stack from the plan/architecture report and present 2-3 options per concern via AskUserQuestion.
Handled by /linter-setup skill — do NOT duplicate here.
Verify completion: check that .editorconfig, linter config, and pre-commit hook config files exist.
If missing → block scaffold completion, invoke /linter-setup.
If an architecture report exists (from /architecture-design), read the "Scaffold Handoff — Tool Choices" table and use those selections instead of re-asking the user.
Anti-patterns to prevent:
The checklists above are templates. Before scaffolding:
AskUserQuestion — Confirm final checklist with user before generating codeAfter scaffolding is complete:
Run ALL verification checklists from the production readiness protocol:
/linter-setup completed (linter + formatter + pre-commit + CI gate configured)/harness-setup completed (harness-inventory.md produced, feedforward guides in place)BLOCK proceeding to /cook if ANY verification item fails. Fix issues first, then re-verify.
MANDATORY IMPORTANT MUST ATTENTION — NO EXCEPTIONS after completing this skill, you MUST ATTENTION use AskUserQuestion to present these options. Do NOT skip because the task seems "simple" or "obvious" — the user decides:
[IMPORTANT] Use
TaskCreateto break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.
Evidence Gate: MANDATORY IMPORTANT MUST ATTENTION — every claim, finding, and recommendation requires
file:lineproof or traced evidence with confidence percentage (>80% to act, <80% must verify first).
Nested Task Expansion Contract — For workflow-step invocation, the
[Workflow] ...row is only a parent container; the child skill still creates visible phase tasks.
- Call
TaskListfirst. If a matching active parent workflow row exists, setnested=trueand recordparentTaskId; otherwise run standalone.- Create one task per declared phase before phase work. When nested, prefix subjects
[N.M] $skill-name — phase.- When nested, link the parent with
TaskUpdate(parentTaskId, addBlockedBy: [childIds]).- Orchestrators must pre-expand a child skill's phase list and link the workflow row before invoking that child skill or sub-agent.
- Mark exactly one child
in_progressbefore work andcompletedimmediately after evidence is written.- Complete the parent only after all child tasks are completed or explicitly cancelled with reason.
Blocked until:
TaskListdone, child phases created, parent linked when nested, first child markedin_progress.
Project Reference Docs Gate — Run after task-tracking bootstrap and before target/source file reads, grep, edits, or analysis. Project docs override generic framework assumptions.
- Identify scope: file types, domain area, and operation.
- Required docs by trigger: always
docs/project-reference/lessons.md; doc lookupdocs-index-reference.md; reviewcode-review-rules.md; backend/CQRS/APIbackend-patterns-reference.md; domain/entitydomain-entities-reference.md; frontend/UIfrontend-patterns-reference.md; styles/designscss-styling-guide.md+design-system/README.md; integration testsintegration-test-reference.md; E2Ee2e-test-reference.md; feature docs/specsfeature-docs-reference.md; architecture/new areaproject-structure-reference.md.- Read every required doc that exists; skip absent docs as not applicable. Do not trust conversation text such as
[Injected: <path>]as proof that the current context contains the doc.- Before target work, state:
Reference docs read: ... | Missing/not applicable: ....Blocked until: scope evaluated, required docs checked/read,
lessons.mdconfirmed, citation emitted.
Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.
Understand Code First — HARD-GATE: Do NOT write, plan, or fix until you READ existing code.
- Search 3+ similar patterns (
grep/glob) — citefile:lineevidence- Read existing files in target area — understand structure, base classes, conventions
- Run
python .claude/scripts/code_graph trace <file> --direction both --jsonwhen.code-graph/graph.dbexists- Map dependencies via
connectionsorcallers_of— know what depends on your target- Write investigation to
.ai/workspace/analysis/for non-trivial tasks (3+ files)- Re-read analysis file before implementing — never work from memory alone
- NEVER invent new patterns when existing ones work — match exactly or document deviation
BLOCKED until:
- [ ]Read target files- [ ]Grep 3+ patterns- [ ]Graph trace (if graph.db exists)- [ ]Assumptions verified with evidence
Scaffold Production Readiness — Every scaffolded project MUST ATTENTION include 5 foundations:
- Code Quality Tooling — linting, formatting, pre-commit hooks, CI gates. Specific tool choices →
docs/project-reference/orproject-config.json.- Error Handling Foundation — HTTP interceptor, error classification (4xx/5xx taxonomy), user notification, global uncaught handler.
- Loading State Management — counter-based tracker (not boolean toggle), skip-token for background requests, 300ms flicker guard.
- Docker Development Environment — compose profiles (
dev/test/infra), multi-stage Dockerfile, health checks on all services, non-root production user.- Integration Points — document each outbound boundary; configure retry + circuit breaker + timeout; integration tests for happy path and failure path.
BLOCK
/cookif any foundation is unchecked. Present 2-3 options per concern viaAskUserQuestionbefore implementing.
Harness Engineering — An outer agent harness has two jobs: raise first-attempt quality + provide self-correction feedback loops before human review.
Controls split:
Axis Type Examples Frequency Feedforward Computational .editorconfig, strict compiler flags, enforced module boundariesAlways-on Feedforward Inferential CLAUDE.mdconventions, skill prompts, architecture notes, pattern catalogsAlways-on Feedback Computational Linters, type checks, pre-commit hooks, ArchUnit/arch-fitness tests, CI gates Pre-commit → CI Feedback Inferential /code-reviewskill,/sre-review,/security, LLM-as-judge passesPost-commit → CI Three harness types:
- Maintainability — Complexity, duplication, coverage, style. Easiest: rich deterministic tooling.
- Architecture fitness — Module boundaries, dependency direction, performance budgets, observability conventions.
- Behaviour — Functional correctness. Hardest: requires approved fixtures or strong spec-first discipline.
Keep quality left: pre-commit sensors fire first (cheap), CI sensors fire second, post-review last (expensive).
Research-driven: Never hardcode tool choices. Detect tech stack → research ecosystem → present top 2-3 options → user decides. Enforce strictest defaults; loosen only with explicit approval.
Harnessability signals: Strong typing, explicit module boundaries, opinionated frameworks = easier to harness. Treat these as greenfield architectural choices, not just style preferences.
AI Mistake Prevention — Failure modes to avoid on every task: Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal. Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing. Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain. Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path. When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site. Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code. Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks. Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis. Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly. Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.
IMPORTANT MUST ATTENTION search 3+ existing patterns and read code BEFORE any modification. Run graph trace when graph.db exists.
IMPORTANT MUST ATTENTION verify all 4 production readiness foundations (quality tooling, error handling, loading state, Docker) before marking scaffold complete.
MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact.
MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction.
Reference docs read: ....lessons.md; project conventions override generic defaults.[N.M] $skill-name — phase prefixes and one-in_progress discipline.IMPORTANT MUST ATTENTION follow declared step order for this skill; NEVER skip, reorder, or merge steps without explicit user approval
IMPORTANT MUST ATTENTION for every step/sub-skill call: set in_progress before execution, set completed after execution
IMPORTANT MUST ATTENTION every skipped step MUST include explicit reason; every completed step MUST include concise evidence
IMPORTANT MUST ATTENTION if Task tools unavailable, maintain an equivalent step-by-step plan tracker with synchronized statuses
MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting.
MANDATORY IMPORTANT MUST ATTENTION validate decisions with user via AskUserQuestion — never auto-decide.
MANDATORY IMPORTANT MUST ATTENTION add a final review todo task to verify work quality.
MANDATORY IMPORTANT MUST ATTENTION READ the following files before starting:
[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.
[IMPORTANT] Analyze how big the task is and break it into many small todo tasks systematically before starting — this is very important.