design

name	design
description	Design features through iterative vertical-slice decomposition and progressive code generation with developer micro-checkpoints. For complex multi-component features touching 6+ files across multiple layers. Produces design artifacts in thoughts/shared/designs/. Always requires a research artifact from discover → research, or a solutions artifact from explore.
argument-hint	["research artifact path"]

Design

You are tasked with designing how code will be shaped for a feature or change. This iterative variant decomposes features into vertical slices and generates code slice-by-slice with developer micro-checkpoints between slices. The design artifact feeds directly into plan, which sequences it into phases.

How it works:

• Read input and key source files into context (Step 1)
• Spawn targeted research agents for depth analysis (Step 2)
• Identify ambiguities — triage into simple decisions and genuine ambiguities (Step 3)
• Holistic self-critique — review the combined design for gaps and contradictions (Step 4)
• Developer checkpoint — resolve genuine ambiguities one at a time (Step 5)
• Decompose into vertical slices holistically before generating code (Step 6)
• Generate code slice-by-slice with developer micro-checkpoints (Step 7)
• Verify cross-slice integration consistency (Step 8)
• Finalize the design artifact (Step 9)
• Review and iterate with the developer (Step 10)

The final artifact is plan-compatible.

Step 1: Input Handling

When this command is invoked:

1. Read research artifact:

   Research artifact provided (argument contains a path to a .md file in thoughts/):

   • Read the research artifact FULLY using the Read tool WITHOUT limit/offset
   • Extract: Summary, Code References, Integration Points, Architecture Insights, Developer Context, Open Questions
   • Read the key source files from Code References into the main context — especially hooks, shared utilities, and integration points the design will depend on. Read them FULLY. This ensures you have complete understanding before proceeding.
   • These become starting context — no need to re-discover what exists
   • Research Developer Context Q/As = inherited decisions (record in Decisions, never re-ask); Open Questions = starting ambiguity queue, filtered by dimension in Step 3
   • If a discover artifact is also provided, read it for additional discovery context

   No arguments provided:

   I'll design a feature iteratively from a research artifact. Please provide:
   
   `/skill:design [research artifact] [discover] [task description]`
   
   Research artifact is required. Discover and task description are optional, in any order.
   

   Then wait for input.

2. Read any additional files mentioned — tickets, related designs, existing implementations. Read them FULLY before proceeding.

Step 2: Targeted Research

This is NOT a discovery sweep. Focus on DEPTH (how things work, what patterns to follow) not BREADTH (where things are).

1. Spawn parallel research agents using the Agent tool:

   • Use codebase-pattern-finder to find existing implementations to model after — the primary template for code shape
   • Use codebase-analyzer to understand HOW integration points work in detail
   • Use integration-scanner to map the wiring surface — inbound refs, outbound deps, config/DI/event registration
   • Use precedent-locator to find similar past changes in git history — what commits introduced comparable features, what broke, and what lessons apply to this design

   Novel work (new libraries, first-time patterns, no existing codebase precedent):

   • Add web-search-researcher for external documentation, API references, and community patterns
   • Instruct it to return LINKS with findings — include those links in the final design artifact

   Agent prompts should focus on:

   • "Find the implementation pattern I should model after for [feature type]"
   • "How does [integration point] work in detail — show me the wiring"
   • "What connects to [component] — inbound refs, outbound deps, config"

   NOT: "Find all files related to X" — that's discovery's job, upstream of this skill.

2. Read all key files identified by agents into the main context — especially the pattern templates you'll model after.

3. Wait for ALL agents to complete before proceeding.

4. Analyze and verify understanding:

   • Cross-reference research findings with actual code read in Step 1
   • Identify any discrepancies or misunderstandings
   • Note assumptions that need verification
   • Determine true scope based on codebase reality

Step 3: Identify Ambiguities — Dimension Sweep

Walk Step 2 findings, inherited research Q/As, and carried Open Questions through six architectural dimensions that map 1:1 to plan extract sections — the sweep guarantees downstream completeness. Add migration as a seventh dimension only if the feature changes persisted schema.

• Data model — types, schemas, entities
• API surface — signatures, exports, routes
• Integration wiring — mount points, DI, events, config
• Scope — in / explicitly deferred
• Verification — tests, assertions, risk-bearing behaviors
• Performance — load paths, caching, N+1 risks

For each dimension, classify findings as simple decisions (one valid option, obvious from codebase — record in Decisions with file:line evidence, do not ask) or genuine ambiguities (multiple valid options, conflicting patterns, scope questions, novel choices — queue for Step 5). Inherited research Q/As land as simple; Open Questions filter by dimension — architectural survives, implementation-detail defers.

Pre-validate every option before queuing it against research constraints and runtime code behavior. Eliminate or caveat options that contradict Steps 1-2 evidence. Coverage check: every Step 2 file read appears in at least one decision or ambiguity; every dimension is addressed (silently-resolved valid, skipped-unchecked not).

Step 4: Holistic Self-Critique

Before presenting ambiguities to the developer, review the combined design picture holistically. Step 3 triages findings individually — this step checks whether they fit together as a coherent whole.

Prompt yourself:

• What's inconsistent, missing, or contradictory across the research findings, resolved decisions, and identified ambiguities?
• What edge cases or failure modes aren't covered by any ambiguity or decision?
• Do any patterns from different agents conflict when combined?

Areas to consider (suggestive, not a checklist):

• Requirement coverage — is every requirement from Step 1 addressed by at least one decision or ambiguity?
• Cross-cutting concerns — do error handling, state management, or performance span multiple ambiguities without being owned by any?
• Pattern coherence — do the simple decisions from Step 3 still hold when viewed together, or does a combination reveal a conflict?
• Ambiguity completeness — did Step 3 miss a genuine ambiguity by treating a multi-faceted issue as simple?

Remediation:

• Issues you can resolve with evidence: fix in-place — reclassify simple decisions as genuine ambiguities, or resolve a genuine ambiguity as simple if holistic review provides clarity. Note what changed.
• Issues that need developer input: add as new genuine ambiguities to the Step 5 checkpoint queue.
• If no issues found: proceed to Step 5 with the existing ambiguity set.

Step 5: Developer Checkpoint

Use the grounded-questions-one-at-a-time pattern. Use a ❓ Question: prefix so the developer knows their input is needed. Each question must:

• Reference real findings with file:line evidence
• Present concrete options (not abstract choices)
• Pull a DECISION from the developer, not confirm what you already found

Question patterns by ambiguity type:

• Pattern conflict: "Found 2 patterns for [X]: [pattern A] at file:line and [pattern B] at file:line. They differ in [specific way]. Which should the new [feature] follow?"
• Missing pattern: "No existing [pattern type] in the codebase. Options: (A) [approach] modeled after [external reference], (B) [approach] extending [existing code at file:line]. Which fits the project's direction?"
• Scope boundary: "The [research/description] mentions both [feature A] and [feature B]. Should this design cover both, or just [feature A] with [feature B] deferred?"
• Integration choice: "[Feature] can wire into [point A] at file:line or [point B] at file:line. [Point A] matches the [existing pattern] pattern. Agree, or prefer [point B]?"
• Novel approach: "No existing [X] in the project. Options: (A) [library/pattern] — [evidence/rationale], (B) [library/pattern] — [evidence/rationale]. Which fits?"

Critical rules:

• Ask ONE question at a time. Wait for the answer before asking the next.
• Lead with the most architecturally significant ambiguity.
• Every answer becomes a FIXED decision — no revisiting unless the developer explicitly asks.

Choosing question format:

• ask_user_question tool — when your question has 2-4 concrete options from code analysis (pattern conflicts, integration choices, scope boundaries, priority overrides). The user can always pick "Other" for free-text. Example:

  Use the ask_user_question tool with the following question: "Found 2 mapping approaches — which should new code follow?". Header: "Pattern". Options: "Manual mapping (Recommended)" (Used in OrderService (src/services/OrderService.ts:45) — 8 occurrences); "AutoMapper" (Used in UserService (src/services/UserService.ts:12) — 2 occurrences).

• Free-text with ❓ Question: prefix — when the question is open-ended and options can't be predicted (discovery, "what am I missing?", corrections). Example: "❓ Question: Integration scanner found no background job registration for this area. Is that expected, or is there async processing I'm not seeing?"

Batching: When you have 2-4 independent questions (answers don't depend on each other), you MAY batch them in a single ask_user_question call. Keep dependent questions sequential.

Classify each response:

Decision (e.g., "use pattern A", "yes, follow that approach"):

• Record in Developer Context. Fix in Decisions section.

Correction (e.g., "no, there's a third option you missed", "check the events module"):

• Spawn targeted rescan: codebase-analyzer on the new area (max 1-2 agents).
• Merge results. Update ambiguity assessment.

Scope adjustment (e.g., "skip the UI, backend only", "include tests"):

• Record in Developer Context. Adjust scope.

After all ambiguities are resolved, present a brief design summary (under 15 lines):

Design: [feature name]
Approach: [1-2 sentence summary of chosen architecture]

Decisions:
- [Decision 1]: [choice] — modeled after `file:line`
- [Decision 2]: [choice]
- [Decision 3]: [choice]

Scope: [what's in] | Not building: [what's out]
Files: [N] new, [M] modified

Use the ask_user_question tool to confirm before proceeding. Question: "[Summary from design brief above]. Ready to proceed to decomposition?". Header: "Design". Options: "Proceed (Recommended)" (Decompose into vertical slices, then generate code slice-by-slice); "Adjust decisions" (Revisit one or more architectural decisions above); "Change scope" (Add or remove items from the building/not-building lists).

Step 6: Feature Decomposition

After the design summary is confirmed, decompose the feature into vertical slices. Each slice is a self-contained unit: types + implementation + wiring for one concern.

1. Decompose holistically — define ALL slices, dependencies, and ordering before generating any code:

   Feature Breakdown: [feature name]
   
   Slice 1: [name] — [what this slice delivers]
     Files: path/to/file.ext (NEW), path/to/file.ext (MODIFY)
     Depends on: nothing (foundation)
   
   Slice 2: [name] — [what this slice delivers]
     Files: path/to/file.ext (NEW), path/to/file.ext (MODIFY)
     Depends on: Slice 1
   
   Slice 3: [name] — [what this slice delivers]
     Files: path/to/file.ext (NEW)
     Depends on: Slice 2
   

2. Slice properties:

   • End-to-end vertical: each slice is a complete cross-section of one concern (types + impl + wiring)
   • ~512-1024 tokens per slice (maps to individual file blocks)
   • Sequential: each builds on the previous (never parallel)
   • Foundation first: types/interfaces always Slice 1

3. Confirm decomposition using the ask_user_question tool. Question: "[N] slices for [feature]. Slice 1: [name] (foundation). Slices 2-N: [brief]. Approve decomposition?". Header: "Slices". Options: "Approve (Recommended)" (Proceed to slice-by-slice code generation); "Adjust slices" (Reorder, merge, or split slices before generating); "Change scope" (Add or remove files from the decomposition).

4. Create skeleton artifact — immediately after decomposition is approved:

   • Determine metadata: filename thoughts/shared/designs/YYYY-MM-DD_HH-MM-SS_topic.md, repository name from git root, branch and commit from the git context injected at the start of the session (fallbacks: "no-branch" / "no-commit"), designer from the injected User (fallback: "unknown")
   • Write skeleton using the Write tool with status: in-progress in frontmatter
   • Include all prose sections filled from Steps 1-5: Summary, Requirements, Current State Analysis, Scope, Decisions, Desired End State, File Map, Ordering Constraints, Verification Notes, Performance Considerations, Migration Notes, Pattern References, Developer Context, References
   • Architecture section: one ### path/to/file.ext — NEW/MODIFY heading per file from the decomposition, with empty code fences as placeholders
   • Design History section: list all slices with — pending status
   • This is the living artifact — all subsequent writes use the Edit tool

   Artifact template sections (all required in skeleton):

   • Frontmatter: date, designer, git_commit, branch, repository, topic, tags, , research_source, last_updated, last_updated_by

Step 7: Generate Slices (Iterative)

Generate code one slice at a time. Each slice sees the fixed code from all previous slices.

For each slice in the decomposition (sequential order):

7a. Generate slice code (internal)

Generate complete, copy-pasteable code for every file in this slice — but hold it for the artifact, do NOT present full code to the developer. The developer sees a condensed review in 7c; the full code goes into the artifact in 7d.

• New files: complete code — imports, types, implementation, exports. Follow the pattern template from Step 2.
• Modified files: read current file FULLY, generate only the modified/added code scoped to changed sections (no full "Current" block — the original is on disk)
• Test files: complete test suites following project patterns
• Wiring: show where new code hooks into existing code

If additional context is needed, spawn a targeted codebase-analyzer agent.

No pseudocode, no TODOs, no placeholders — the code must be copy-pasteable by implement.

Context grounding (after slice 2): Before generating, re-read the artifact's Architecture section for files this slice touches. The artifact is the source of truth — generate code that extends what's already there, not what you remember from conversation.

7b. Self-verify slice

Before presenting to the developer, cross-check this slice and produce a structured summary:

Self-verify Slice N:
- Decisions: [OK / VIOLATION: decision X — fix applied]
- Cross-slice: [OK / CONFLICT: file X has inconsistent types — fix applied]
- Research: [OK / WARNING: constraint Y not satisfied — fix applied]

If violations found: fix in-place before presenting. Include the self-verify summary in the 7c checkpoint presentation.

7c. Developer micro-checkpoint

Present a condensed review of the slice — NOT the full generated code. The developer reviews the design shape, not every line. For each file in the slice, show:

1. Summary (1-2 sentences): what changed, what pattern used, what it connects to
2. Signatures: type/interface definitions, exported function signatures with parameter and return types
3. Key code blocks: factory calls, wiring, non-obvious logic — the interesting parts that show the design decision in action

Omit: boilerplate, import lists, full function bodies, obvious implementations. MODIFY files: focused diff (- old / + new) with ~3 lines context. Test files: test case names only.

If the developer asks to see full code, show it inline — exception, not default.

Use the ask_user_question tool to confirm. Question: "Slice [N/M]: [slice name] — [files affected]. [1-line summary]. Approve?". Header: "Slice [N]". Options: "Approve (Recommended)" (Lock this slice, write to artifact, proceed to slice [N+1]); "Revise this slice" (Adjust code before proceeding — describe what to change); "Rethink remaining slices" (This slice reveals a design issue — revisit decomposition).

Checkpoint cadence: Slices 1-2: always individual. Slices 3+: individual if (a) mid-generation agent spawn was needed, (b) MODIFY touches an undiscussed file, or (c) self-verify fixed a violation. Otherwise batch 2-3 slices (max 3).

7d. Incorporate feedback

Approve: Lock this slice's code and Edit the artifact immediately:

1. For each file in this slice, Edit the skeleton artifact to replace the empty code fence under that file's Architecture heading with the full generated code from 7a
2. If a later slice contributes to a file already filled by an earlier slice: rewrite the entire code fence with the merged result (do not append alongside existing code)
3. After merge, verify: no duplicate function definitions, imports deduplicated, exports list complete
4. Update the Design History section: - Slice N: [name] — approved as generated

• Proceed to next slice

Revise: Update code per developer feedback. Re-run self-verify (7b). Re-present the same slice (7c). The artifact is NOT touched — only "Approve" writes to the artifact.

Rethink: Developer spotted a design issue. If a previously approved slice is affected, flag the conflict and offer cascade revision — developer decides whether to reopen (if yes, Edit artifact entry). Update decomposition (add/remove/reorder remaining slices) and confirm before continuing.

Step 8: Integration Verification

After all slices are complete, review cross-slice consistency:

1. Present integration summary (under 15 lines):

   Integration: [feature name] — [N] slices complete
   
   Slices: [brief list of slice names and file counts]
   Cross-slice: [types consistent / imports valid / wiring complete]
   Research constraints: [all satisfied / N violations noted]
   

2. Verify research constraints: Check each Precedent & Lesson and Verification Note from the research artifact against the generated code. List satisfaction status.

3. Confirm using the ask_user_question tool. Question: "[N] slices complete, [M] files total. Cross-slice consistency verified. Proceed to design artifact?". Header: "Verify". Options: "Proceed (Recommended)" (Finalize the design artifact (verify completeness, update status)); "Revisit slice" (Reopen a specific slice for revision — Edit the artifact after); "Add missing" (A file or integration point is missing — add to artifact).

Step 9: Finalize Design Artifact

The artifact was created as a skeleton in Step 6 and filled progressively in Step 7d. This step verifies completeness and finalizes.

1. Verify all Architecture entries are filled: Every file heading from the decomposition must have a non-empty code block. If any are still empty (e.g., a slice was skipped), generate and fill them now.

2. Verify cross-slice file merges: For files touched by multiple slices, confirm the Architecture entry contains the final merged code, not just the last slice's contribution.

3. Update frontmatter via Edit:

   • Set status: complete
   • Update last_updated to current date
   • Update last_updated_by to the User from the injected git context (fallback: "unknown")

4. Verify template completeness: Ensure all 17 sections from the template reference in Step 6 are present and filled. Edit to fix any gaps.

5. Architecture format reminder:

   • NEW files: ### path/to/file.ext — NEW + one-line purpose + full implementation code block
   • MODIFY files: ### path/to/file.ext:line-range — MODIFY + code block with only the modified/added code (no "Current" block — the original is on disk, implement reads it)

Step 10: Review & Iterate

1. Present the design artifact location:

   Design artifact written to:
   `thoughts/shared/designs/[filename].md`
   
   [N] architectural decisions fixed, [M] new files designed, [K] existing files modified.
   [S] slices generated, [R] revisions during generation.
   
   Please review and let me know:
   - Are the architectural decisions correct?
   - Does the code match what you envision?
   - Any missing integration points or edge cases?
   
   When ready, run `/skill:plan thoughts/shared/designs/[filename].md` to sequence into phases.
   

2. Handle follow-up changes:

   • Use the Edit tool to update the design artifact in-place
   • Update frontmatter: last_updated and last_updated_by
   • Add last_updated_note: "Updated [brief description]" to frontmatter
   • If the change affects decisions, update both the Decisions section AND the Architecture code
   • If new ambiguities arise, return to Step 5 (developer checkpoint)

Guidelines

1. Be Architectural: Design shapes code; plans sequence work. Every decision must be grounded in file:line evidence from the actual codebase.

2. Be Interactive: Don't produce the full design in one shot. Resolve ambiguities through the checkpoint first, get buy-in on the approach, THEN decompose and generate slice-by-slice.

3. Be Complete: Code in the Architecture section must be copy-pasteable by implement. No pseudocode, no TODOs, no "implement here" placeholders. If you can't write complete code, an ambiguity wasn't resolved.

4. Be Skeptical: Question vague requirements. If an existing pattern doesn't fit the new feature, say so and propose alternatives. Don't force a pattern where it doesn't belong.

5. Resolve Everything: No unresolved questions in the final artifact. If something is ambiguous, ask during the checkpoint or micro-checkpoint. The design must be complete enough that plan can mechanically decompose it into phases.

6. Present Condensed, Persist Complete: Micro-checkpoints show the developer summaries, signatures, and key code blocks. The artifact always contains full copy-pasteable code. If the developer asks to see full code, show it — but never default to walls of code in checkpoints.

Agent Usage

Context	Agents Spawned
Default (research artifact provided)	codebase-pattern-finder, codebase-analyzer, integration-scanner, precedent-locator
Novel work (new library/pattern)	+ web-search-researcher
During code writing (if needed)	targeted codebase-analyzer for specific files

Spawn multiple agents in parallel when they're searching for different things. Each agent runs in isolation — provide complete context in the prompt, including specific directory paths when the feature targets a known module. Don't write detailed prompts about HOW to search — just tell it what you're looking for and where.

Important Notes

• Always chained: This skill requires a research artifact produced by the research skill. There is no standalone design mode.
• File reading: Always read research artifacts and referenced files FULLY (no limit/offset) before spawning agents
• Critical ordering: Follow the numbered steps exactly
  • ALWAYS read input files first (Step 1) before spawning agents (Step 2)
  • ALWAYS wait for all agents to complete before identifying ambiguities (Step 3)
  • ALWAYS resolve all ambiguities (Step 5) before decomposing into slices (Step 6)
  • ALWAYS complete holistic decomposition before generating any slice code (Step 7)
  • ALWAYS create the skeleton artifact immediately after decomposition approval (Step 6)
  • NEVER leave Architecture code fences empty after their slice is approved — fill via Edit in Step 7d
• NEVER skip the developer checkpoint — developer input on architectural decisions is the highest-value signal in the design process
• NEVER edit source files — all code goes into the design document, not the codebase. This skill produces a document, not implementation. Source file editing is implement's job.
• Code is source of truth — if the Architecture code section conflicts with the Decisions prose, the code wins. Update the prose.
• Checkpoint recordings: Record micro-checkpoint interactions in Developer Context with file:line references, same as Step 5 questions.
• Frontmatter consistency: Always include frontmatter, use snake_case for multi-word fields, keep tags relevant
• CC auto-loads CLAUDE.md files when agents read files in a directory — no need to scan for them explicitly

Common Design Patterns

• New Features: types first → backend logic → API surface → UI last. Research existing patterns first. Include tests alongside each implementation.
• Modifications: Read current file FULLY. Show only the modified/added code scoped to changed sections. Check integration points for side effects.
• Database Changes: schema/migration → store/repository → business logic → API → client. Include rollback strategy.
• Refactoring: Document current behavior first. Plan incremental backwards-compatible changes. Verify existing behavior preserved.
• Novel Work: Include approach comparison in Decisions. Ground in codebase evidence OR web research. Get explicit developer sign-off BEFORE writing code.