tech-spec

name

tech-spec

description

Turn a PRD into a technical implementation spec. Bridges the "what and why" of a PRD and the "how" an agent needs to execute. Module decomposition with deep-module emphasis, sequencing by tracer-bullet principles, and a grill gate before exit. Use when the user says "tech-spec", "write a technical spec", "turn this PRD into a plan", or after /write-prd when the next question is "how do we actually build this?".

Tech Spec

Turn a PRD (the "what and why") into a technical implementation spec (the "how"). A tech-spec answers: which modules do we build, in what order, with what interfaces, and what can go wrong along the way.

Inspired by Ouroboros's Double Diamond execution decomposition (Discover → Define → Design → Deliver), John Ousterhout's A Philosophy of Software Design (deep modules), and the classic "design doc" form used at big engineering orgs.

---

Contract

Input: a PRD (as a file path, conversation content, or caller-injected context) + the codebase.

Output: a technical spec as markdown. Default destination: docs/tech-specs/<slug>.md. Callers can override.

What this skill does NOT do: re-litigate the PRD. If the PRD is unclear, invoke max:grill-me on it, or push the user back to max:write-prd. Tech specs build on PRDs; they don't replace them.

Composition chain: caller → write-prd (outputs PRD) → tech-spec (outputs implementation plan) → grill-me (stress-tests the plan) → return to caller.

---

Phases

Phase 1: Load the PRD

Read the PRD from wherever the caller points at — file path, conversation, or pre-loaded context. Verify every PRD section has content (Goals / Requirements / Non-Goals / Constraints / Approach / Open Questions).

Hard-stop if these are missing:

• Requirements — no concrete behaviors to decompose into modules
• Non-Goals — risk of silent scope creep during design

If either is missing, STOP and tell the user: "This PRD needs sharpening before I can tech-spec it. Want me to invoke max:grill-me on the PRD first, or do you want to revise it yourself?"

Warn but proceed if these are weak:

• Approach — direction is helpful but tech-spec can propose one
• Open Questions — unresolved items become explicit inputs to the tech spec phase

Phase 2: Discover (explore the problem space)

Before designing the solution, understand the constraints the PRD's Approach section gestured at.

What to look for:

• Files the Approach mentions — read each one fully, don't skim
• Sibling code — the directory the Approach points at, the module it lives in
• Shared abstractions — utilities, helpers, types that would be reused or extended
• Existing patterns — how similar features are implemented in this codebase (not how they'd be implemented in general)
• Recent history — git log on the affected files for the last 30-60 days. Prior attempts, in-flight work, reverted commits all matter.
• Test infrastructure — what test patterns exist? Unit? Integration? Snapshot? This shapes the Design phase.
• Cross-cutting concerns — auth, logging, error handling, observability. Is there a convention?

Output of this phase: a mental model rich enough to decompose the work. You should be able to answer: "Given this codebase, what shape does the solution naturally want to take?"

Time budget: 10-20 minutes. If you find yourself reading beyond that, the PRD scope is too big — push back and ask for a slice.

Phase 3: Define (commit to a decomposition)

Break the work into modules with clear interfaces. This is where deep-module thinking applies.

Deep module test (Ousterhout): A module is deep if its public interface is much smaller than the implementation it encapsulates. A class that exposes 3 methods but internally handles 500 lines of complexity is deep. A class that exposes 20 methods that are each 2-line wrappers around something else is shallow.

Good deep modules:

• TranscriptParser — public: parse(text) -> Transcript. Internal: tokenization, speaker detection, timestamp normalization, punctuation recovery.
• CacheEvictionPolicy — public: shouldEvict(entry, now) -> Bool. Internal: LRU tracking, priority weighting, size accounting.
• ExportManager — public: export(document, format) -> URL. Internal: format-specific renderers, asset collection, zip packaging.

Bad shallow modules:

• TextUtils with 15 static methods each wrapping one line of string manipulation
• DatabaseHelper whose methods all take a SQL string and pass it to the underlying client
• EventMiddleware that exists only to re-emit events on a different name

Decomposition steps:

1. List the behaviors from the PRD Requirements. Each behavior is a candidate for a module or a method on a module.
2. Cluster behaviors that share state or invariants. Behaviors that touch the same data belong in the same module.
3. Identify seams. A seam is where test boundaries live. Each module should have exactly one public seam where tests can reach it. Multiple seams = shallow module.
4. Name each module with a noun that describes its responsibility, not its implementation. TranscriptParser good, StringProcessor bad.
5. Sketch the public interface for each module. 1-5 methods is the sweet spot. 10+ methods is a smell — the module is probably two modules pretending to be one.
6. Call out reused abstractions. If the decomposition is inventing a new pattern when the codebase already has one, merge them.

Present the decomposition to the user in chunks (2-3 modules at a time). Get approval on each module before proceeding to the next.

Phase 4: Design (per-module specifics)

For each module in the decomposition, spec:

### <Module Name>

**Responsibility:** <what this module does in one sentence. If it takes more than one sentence, it's two modules.>

**Public interface:**
```swift
struct TranscriptParser {
  func parse(_ text: String) throws -> Transcript
  func parseStream(_ bytes: AsyncBytes) -> AsyncThrowingStream<TranscriptFragment, Error>
}

Invariants:

• Parsed transcripts always have at least one speaker
• Timestamps are monotonically increasing
• Unknown speakers are tagged "Speaker N", not null

Failure modes:

• Empty input → throw TranscriptError.empty
• Unrecognized format → throw TranscriptError.unsupported(format)
• Partial data → return best-effort with a warning

Tests (behaviors to verify):

• Parses a well-formed VTT file into the expected structure
• Handles speaker labels with non-ASCII characters
• Errors on empty input with the correct error type
• Rejects malformed timestamps

**Rules:**
- **Concrete signatures, not prose.** Code blocks are more honest than "a parse method that takes text".
- **Invariants are load-bearing.** They tell future maintainers what must always be true.
- **Failure modes belong next to the interface.** Error handling isn't an afterthought.
- **Tests are behaviors, not implementation steps.** "Parses VTT" not "calls tokenizer then builds speaker map".

### Phase 5: Deliver (sequence the work)

Order the modules for execution. Wrong order causes cascading rework.

**Principles:**

1. **Foundations first.** Modules with no dependencies go first. You need data types before the services that manipulate them.

2. **Tracer bullet through the whole stack.** Before polishing any single module, prove the architecture works end-to-end with a thin vertical slice. This means building a minimal version of every layer to get one happy-path scenario working, then going back to fill in each layer.

3. **Risky modules early.** If something's likely to need rework (unfamiliar API, performance unknown, integration concern), find out early. A failed tracer bullet in week one is cheaper than a failed integration in week three.

4. **Leaf modules last.** Polish, edge cases, and non-critical paths come after the core path is proven.

**Example sequencing** (a hypothetical "add a transcript search feature"):

1. TranscriptIndex (foundation — data types + in-memory index)
2. TranscriptIndexer (foundation — populates the index from existing transcripts)
3. SearchQuery (tracer — minimal parser, just exact match)
4. SearchResultsView (tracer — wire UI to display results) ← END OF TRACER BULLET: end-to-end exact-match search works
5. SearchQuery (fill in — fuzzy match, operators, highlighting)
6. TranscriptIndexer (fill in — incremental updates, background rebuild)
7. SearchResultsView (fill in — keyboard nav, ranking, preview)
8. Performance tuning (last — only after all behavior is proven)

The tracer bullet comes at step 4, not step 8. After step 4 you KNOW the architecture is viable; the remaining work is filling in, not discovering.

### Phase 6: Grill gate

Invoke `max:grill-me` in spec mode against the tech spec. Threshold: 0.2 (same as PRDs — tech specs are what agents execute against).

The grill's dimensions map naturally:
- **Goals** — is the module decomposition obviously correct, or are there unresolved decisions?
- **Acceptance** — does each module have concrete "done when" criteria (tests listed)?
- **Boundaries** — are Non-Goals preserved from the PRD? Any scope creep introduced at the tech spec level?
- **Alternatives** — which decompositions did we consider and rule out?
- **Assumptions** — which constraints are verified (via Phase 2 exploration) vs. guessed?

Iterate on the spec until below threshold, or let the user override.

**Fallback if `max:grill-me` is not available:** self-review against the five dimensions, flag any gaps, ask one clarifying round, and exit.

### Phase 7: Output

Write the tech spec to `docs/tech-specs/<slug>.md` (or caller-specified destination). Print the path and ambiguity report.

Return control to the caller.

---

## Output format

```markdown
# <Feature Name> — Technical Spec

## Context
<Link to the source PRD. Summarize in 2-3 sentences what this spec implements.>

## Decomposition
<Bulleted list of modules with 1-line descriptions. This is the table of contents.>

- **TranscriptIndex** — in-memory index over transcript content
- **TranscriptIndexer** — populates the index from Bugbook pages
- **SearchQuery** — parses search input into executable queries
- **SearchResultsView** — displays ranked results with highlighting

## Modules

### TranscriptIndex
**Responsibility:** ...
**Public interface:** ...
**Invariants:** ...
**Failure modes:** ...
**Tests:** ...

### TranscriptIndexer
...

## Sequence

Ordered list of modules with rationale for the order. Call out the tracer bullet boundary.

## Open Questions

Anything unresolved that the PRD didn't cover. Tag with who needs to answer.

## Ambiguity Report

<Appended by grill-me at exit.>

---

Concrete example of what "good" looks like

A small tech spec, for the "Cmd+K focuses search bar" PRD example in max:write-prd:

# Cmd+K focuses search bar — Technical Spec

## Context

Implements the PRD at `docs/prds/cmd-k-search-focus.md`. Adds a Cmd+K
keyboard shortcut that focuses the sidebar search field from anywhere in
the app, expanding the sidebar first if collapsed.

## Decomposition

- **SearchFocusCoordinator** — owns the focus state and the expand-sidebar-if-needed sequence
- **ContentView shortcut binding** — attaches the Cmd+K keyboard shortcut at the app-level container

## Modules

### SearchFocusCoordinator

**Responsibility:** Own the search field's focus state and the sequencing logic
for focusing it even when the sidebar is collapsed.

**Public interface:**
```swift
@MainActor
final class SearchFocusCoordinator: ObservableObject {
    @Published var isSearchFocused: Bool = false

    func requestFocus()
    func releaseFocus()
}

Invariants:

• requestFocus() always results in isSearchFocused == true after a short delay, regardless of sidebar state
• The coordinator does not directly manipulate sidebar visibility — it publishes an intent that ContentView acts on

Failure modes:

• If the sidebar can't be shown (e.g., a modal sheet is blocking), requestFocus is a no-op. The caller is expected to check for blocking state before calling.

Tests:

• requestFocus sets isSearchFocused to true
• releaseFocus sets it back to false
• Multiple rapid requestFocus calls are idempotent (no focus-stealing loop)

ContentView shortcut binding

Responsibility: Attach the Cmd+K keyboard shortcut at the root SwiftUI view so it's available regardless of which child view is focused.

Public interface:

// In ContentView body:
.keyboardShortcut(.init("k"), modifiers: .command, action: { coordinator.requestFocus() })

Invariants:

• The shortcut is active in all app states except when a modal sheet is presented (macOS default behavior for .keyboardShortcut)

Failure modes:

• If coordinator isn't yet injected into the environment, crash early with a clear error — don't silently no-op

Tests:

• N/A (SwiftUI view code, verify via smoke test per max:verify-before-done)

Sequence

1. SearchFocusCoordinator (foundation — pure state object, testable via max:tdd)
2. ContentView shortcut binding (tracer — wires coordinator into the view tree) ← END OF TRACER BULLET: Cmd+K focuses search from an expanded sidebar
3. Collapsed-sidebar expansion (fill in — observe isSearchFocused at the sidebar level, expand if needed, then focus)
4. Escape restores previous focus (fill in — track prior focus, restore on submit/escape)

The tracer bullet is deliberately thin. Step 2 proves the shortcut-to-focus path works end-to-end with the simplest possible sidebar state (already expanded). Steps 3-4 fill in the edge cases after we know the core wiring is right.

Open Questions

• How do we track "previous focus" across arbitrary views in SwiftUI? macOS 14+ has @FocusState but cross-view restoration isn't built-in. Investigation needed.

Ambiguity Report

```

Notice:

• Each module has a real Swift signature, not a prose description
• Invariants call out what must always be true
• Tests distinguish "testable via tdd" vs "smoke test via verify-before-done"
• Sequence marks the tracer bullet boundary explicitly
• Open Questions capture what needs investigation, not what the spec author was too lazy to decide

---

Anti-patterns

• Restating the PRD as a tech spec. If your tech spec just paraphrases the PRD in different words, you haven't added value. Tech specs answer "how", not "what".
• Over-decomposing into shallow modules. 20 tiny modules with bloated interfaces is worse than 5 deep modules with clean interfaces. When in doubt, merge modules.
• Skipping the sequencing phase. A correct decomposition in the wrong order wastes as much time as a wrong decomposition. The sequence is load-bearing.
• Designing without reading the code. Tech specs that don't reference existing patterns are aspirational fiction. Read first, design second.
• Inventing abstractions the codebase doesn't need. If the team doesn't already use dependency injection, don't propose it as a load-bearing part of the spec. Match the codebase's ambient complexity.
• Specifying implementation details the spec shouldn't care about. "Use a @MainActor on the view model" is an implementation choice. Tech specs define what the module should do, not how it's written line-by-line. If you catch yourself writing code in the spec, stop.