Add validate and plan workflows with ordered config parsing

.agents/skills/codebase-design/DEEPENING.md

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+# Deepening
+
+How to deepen a cluster of shallow modules safely, given its dependencies. Assumes the vocabulary in [SKILL.md](SKILL.md) — **module**, **interface**, **seam**, **adapter**.
+
+## Dependency categories
+
+When assessing a candidate for deepening, classify its dependencies. The category determines how the deepened module is tested across its seam.
+
+### 1. In-process
+
+Pure computation, in-memory state, no I/O. Always deepenable — merge the modules and test through the new interface directly. No adapter needed.
+
+### 2. Local-substitutable
+
+Dependencies that have local test stand-ins (PGLite for Postgres, in-memory filesystem). Deepenable if the stand-in exists. The deepened module is tested with the stand-in running in the test suite. The seam is internal; no port at the module's external interface.
+
+### 3. Remote but owned (Ports & Adapters)
+
+Your own services across a network boundary (microservices, internal APIs). Define a **port** (interface) at the seam. The deep module owns the logic; the transport is injected as an **adapter**. Tests use an in-memory adapter. Production uses an HTTP/gRPC/queue adapter.
+
+Recommendation shape: *"Define a port at the seam, implement an HTTP adapter for production and an in-memory adapter for testing, so the logic sits in one deep module even though it's deployed across a network."*
+
+### 4. True external (Mock)
+
+Third-party services (Stripe, Twilio, etc.) you don't control. The deepened module takes the external dependency as an injected port; tests provide a mock adapter.
+
+## Seam discipline
+
+- **One adapter means a hypothetical seam. Two adapters means a real one.** Don't introduce a port unless at least two adapters are justified (typically production + test). A single-adapter seam is just indirection.
+- **Internal seams vs external seams.** A deep module can have internal seams (private to its implementation, used by its own tests) as well as the external seam at its interface. Don't expose internal seams through the interface just because tests use them.
+
+## Testing strategy: replace, don't layer
+
+- Old unit tests on shallow modules become waste once tests at the deepened module's interface exist — delete them.
+- Write new tests at the deepened module's interface. The **interface is the test surface**.
+- Tests assert on observable outcomes through the interface, not internal state.
+- Tests should survive internal refactors — they describe behaviour, not implementation. If a test has to change when the implementation changes, it's testing past the interface.

.agents/skills/codebase-design/DESIGN-IT-TWICE.md

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+# Design It Twice
+
+When the user wants to explore alternative interfaces for a chosen deepening candidate, use this parallel sub-agent pattern. Based on "Design It Twice" (Ousterhout) — your first idea is unlikely to be the best.
+
+Uses the vocabulary in [SKILL.md](SKILL.md) — **module**, **interface**, **seam**, **adapter**, **leverage**.
+
+## Process
+
+### 1. Frame the problem space
+
+Before spawning sub-agents, write a user-facing explanation of the problem space for the chosen candidate:
+
+- The constraints any new interface would need to satisfy
+- The dependencies it would rely on, and which category they fall into (see [DEEPENING.md](DEEPENING.md))
+- A rough illustrative code sketch to ground the constraints — not a proposal, just a way to make the constraints concrete
+
+Show this to the user, then immediately proceed to Step 2. The user reads and thinks while the sub-agents work in parallel.
+
+### 2. Spawn sub-agents
+
+Spawn 3+ sub-agents in parallel using the Agent tool. Each must produce a **radically different** interface for the deepened module.
+
+Prompt each sub-agent with a separate technical brief (file paths, coupling details, dependency category from [DEEPENING.md](DEEPENING.md), what sits behind the seam). The brief is independent of the user-facing problem-space explanation in Step 1. Give each agent a different design constraint:
+
+- Agent 1: "Minimize the interface — aim for 1–3 entry points max. Maximise leverage per entry point."
+- Agent 2: "Maximise flexibility — support many use cases and extension."
+- Agent 3: "Optimise for the most common caller — make the default case trivial."
+- Agent 4 (if applicable): "Design around ports & adapters for cross-seam dependencies."
+
+Include both [SKILL.md](SKILL.md) vocabulary and CONTEXT.md vocabulary in the brief so each sub-agent names things consistently with the architecture language and the project's domain language.
+
+Each sub-agent outputs:
+
+1. Interface (types, methods, params — plus invariants, ordering, error modes)
+2. Usage example showing how callers use it
+3. What the implementation hides behind the seam
+4. Dependency strategy and adapters (see [DEEPENING.md](DEEPENING.md))
+5. Trade-offs — where leverage is high, where it's thin
+
+### 3. Present and compare
+
+Present designs sequentially so the user can absorb each one, then compare them in prose. Contrast by **depth** (leverage at the interface), **locality** (where change concentrates), and **seam placement**.
+
+After comparing, give your own recommendation: which design you think is strongest and why. If elements from different designs would combine well, propose a hybrid. Be opinionated — the user wants a strong read, not a menu.

.agents/skills/codebase-design/SKILL.md

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+---
+name: codebase-design
+description: Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
+---
+
+# Codebase Design
+
+Design **deep modules**: a lot of behaviour behind a small interface, placed at a clean seam, testable through that interface. Use this language and these principles wherever code is being designed or restructured. The aim is leverage for callers, locality for maintainers, and testability for everyone.
+
+## Glossary
+
+Use these terms exactly — don't substitute "component," "service," "API," or "boundary." Consistent language is the whole point.
+
+**Module** — anything with an interface and an implementation. Deliberately scale-agnostic: a function, class, package, or tier-spanning slice. _Avoid_: unit, component, service.
+
+**Interface** — everything a caller must know to use the module correctly: the type signature, but also invariants, ordering constraints, error modes, required configuration, and performance characteristics. _Avoid_: API, signature (too narrow — they refer only to the type-level surface).
+
+**Implementation** — what's inside a module, its body of code. Distinct from **Adapter**: a thing can be a small adapter with a large implementation (a Postgres repo) or a large adapter with a small implementation (an in-memory fake). Reach for "adapter" when the seam is the topic; "implementation" otherwise.
+
+**Depth** — leverage at the interface: the amount of behaviour a caller (or test) can exercise per unit of interface they have to learn. A module is **deep** when a large amount of behaviour sits behind a small interface, **shallow** when the interface is nearly as complex as the implementation.
+
+**Seam** _(Michael Feathers)_ — a place where you can alter behaviour without editing in that place; the *location* at which a module's interface lives. Where to put the seam is its own design decision, distinct from what goes behind it. _Avoid_: boundary (overloaded with DDD's bounded context).
+
+**Adapter** — a concrete thing that satisfies an interface at a seam. Describes *role* (what slot it fills), not substance (what's inside).
+
+**Leverage** — what callers get from depth: more capability per unit of interface they learn. One implementation pays back across N call sites and M tests.
+
+**Locality** — what maintainers get from depth: change, bugs, knowledge, and verification concentrate in one place rather than spreading across callers. Fix once, fixed everywhere.
+
+## Deep vs shallow
+
+**Deep module** = small interface + lots of implementation:
+
+```
+┌─────────────────────┐
+│   Small Interface   │  ← Few methods, simple params
+├─────────────────────┤
+│                     │
+│  Deep Implementation│  ← Complex logic hidden
+│                     │
+└─────────────────────┘
+```
+
+**Shallow module** = large interface + little implementation (avoid):
+
+```
+┌─────────────────────────────────┐
+│       Large Interface           │  ← Many methods, complex params
+├─────────────────────────────────┤
+│  Thin Implementation            │  ← Just passes through
+└─────────────────────────────────┘
+```
+
+When designing an interface, ask:
+
+- Can I reduce the number of methods?
+- Can I simplify the parameters?
+- Can I hide more complexity inside?
+
+## Principles
+
+- **Depth is a property of the interface, not the implementation.** A deep module can be internally composed of small, mockable, swappable parts — they just aren't part of the interface. A module can have **internal seams** (private to its implementation, used by its own tests) as well as the **external seam** at its interface.
+- **The deletion test.** Imagine deleting the module. If complexity vanishes, it was a pass-through. If complexity reappears across N callers, it was earning its keep.
+- **The interface is the test surface.** Callers and tests cross the same seam. If you want to test *past* the interface, the module is probably the wrong shape.
+- **One adapter means a hypothetical seam. Two adapters means a real one.** Don't introduce a seam unless something actually varies across it.
+
+## Designing for testability
+
+Good interfaces make testing natural:
+
+1. **Accept dependencies, don't create them.**
+
+   ```typescript
+   // Testable
+   function processOrder(order, paymentGateway) {}
+
+   // Hard to test
+   function processOrder(order) {
+     const gateway = new StripeGateway();
+   }
+   ```
+
+2. **Return results, don't produce side effects.**
+
+   ```typescript
+   // Testable
+   function calculateDiscount(cart): Discount {}
+
+   // Hard to test
+   function applyDiscount(cart): void {
+     cart.total -= discount;
+   }
+   ```
+
+3. **Small surface area.** Fewer methods = fewer tests needed. Fewer params = simpler test setup.
+
+## Relationships
+
+- A **Module** has exactly one **Interface** (the surface it presents to callers and tests).
+- **Depth** is a property of a **Module**, measured against its **Interface**.
+- A **Seam** is where a **Module**'s **Interface** lives.
+- An **Adapter** sits at a **Seam** and satisfies the **Interface**.
+- **Depth** produces **Leverage** for callers and **Locality** for maintainers.
+
+## Rejected framings
+
+- **Depth as ratio of implementation-lines to interface-lines** (Ousterhout): rewards padding the implementation. We use depth-as-leverage instead.
+- **"Interface" as the TypeScript `interface` keyword or a class's public methods**: too narrow — interface here includes every fact a caller must know.
+- **"Boundary"**: overloaded with DDD's bounded context. Say **seam** or **interface**.
+
+## Going deeper
+
+- **Deepening a cluster given its dependencies** — see [DEEPENING.md](DEEPENING.md): dependency categories, seam discipline, and replace-don't-layer testing.
+- **Exploring alternative interfaces** — see [DESIGN-IT-TWICE.md](DESIGN-IT-TWICE.md): spin up parallel sub-agents to design the interface several radically different ways, then compare on depth, locality, and seam placement.

.agents/skills/decision-mapping/SKILL.md

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+---
+name: decision-mapping
+description: Turn a loose idea into a sequenced map of investigation tickets, then drive them to resolution one at a time.
+disable-model-invocation: true
+---
+
+This skill is invoked when a loose idea requires more than one agent session to turn into a plan. It creates a stateful decision map in a markdown file, and drives the user through a sequence of tickets to resolve the open questions - which may require either prototyping, research or discussion.
+
+## The Decision Map
+
+The decision map is a single compact Markdown file, one per planning effort, git-tracked alongside the project. It is the canonical artifact — the **whole map is loaded as context into every session**, so it must stay compact.
+
+Assets created during tickets should be linked to from the map, not duplicated within it.
+
+### Structure
+
+Numbered entries ("tickets"), each its own section keyed by its number:
+
+```markdown
+## #1: Relational Or Non-Relational Database?
+
+Blocked by: #<ticket-number>, #<ticket-number>
+Type: Research | Prototype | Discuss
+
+### Question
+
+<question-here>
+
+### Answer
+
+<answer-here>
+```
+
+Each ticket must be sized to one 100K token agent session.
+
+## Ticket Types
+
+There are three types of tickets:
+
+- **Research**: Reading documentation, third-party API's, or local resources like knowledge bases. Creates a markdown summary as an asset. Use this when knowledge outside the current working directory is required.
+- **Prototype**: Writing UI or logic code to test a hypothesis, or to explore a design space. Uses the /prototype skill. Creates a prototype as an asset. Use this when "how should it look" or "how should it behave" is the key question.
+- **Discuss**: Conversation with the agent. Uses the /grilling and /domain-modelling skills. The default case.
+
+## Fog of war
+
+The map is _deliberately_ incomplete beyond the frontier. Your job is to investigate the frontier, and to resolve tickets in order to push the frontier forward. Push back the fog of war, one node at a time.
+
+At some point, the fog of war should have been pushed back far enough that the path to the finish line is clear. At that point, no more tickets will be required and the decision map can be considered 'done'.
+
+## Invocation
+
+There are two ways this skill can be invoked: **bootstrap** and **resume**.
+
+### Bootstrap
+
+User invokes with a loose idea.
+
+1. Run a /grilling and /domain-modelling session to surface the open decisions.
+2. Write a new decision map — mostly fog, frontier identified, trivially-decidable entries resolved inline.
+3. Stop. Map-building is one session's work; do not also resolve tickets.
+
+### Resume
+
+User invokes with a path to an existing map and a ticket number.
+
+1. Load the **whole map** as context.
+2. Run a session to resolve the ticket, invoking skills as needed. If in doubt, use `/grilling` and `/domain-modelling`.
+3. Record what the session resolved in the ticket's body.
+4. Add newly-discovered tickets (with correct `blocked_by` edges).
+5. Stop.
+
+If the decisions made invalidate other parts of the map, update or delete those nodes.
+
+## Parallelism
+
+The user may choose to run tickets in parallel, so expect other agents to make changes to the map.
+
+## Skipping The Decision Map
+
+Many times, the initial grilling will result in no fog of war. No unresolved tickets. Nothing to do, except implement.
+
+In those situations, you should offer the user the chance to skip the decision map - since the decision map is only needed if multi-session decisions need to be made.
+
+If they skip it, you should recommend either implementing directly or using `/to-prd` to schedule a multi-session implementation.

.agents/skills/design-an-interface/SKILL.md

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+---
+name: design-an-interface
+description: Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
+---
+
+# Design an Interface
+
+Based on "Design It Twice" from "A Philosophy of Software Design": your first idea is unlikely to be the best. Generate multiple radically different designs, then compare.
+
+## Workflow
+
+### 1. Gather Requirements
+
+Before designing, understand:
+
+- [ ] What problem does this module solve?
+- [ ] Who are the callers? (other modules, external users, tests)
+- [ ] What are the key operations?
+- [ ] Any constraints? (performance, compatibility, existing patterns)
+- [ ] What should be hidden inside vs exposed?
+
+Ask: "What does this module need to do? Who will use it?"
+
+### 2. Generate Designs (Parallel Sub-Agents)
+
+Spawn 3+ sub-agents simultaneously using Task tool. Each must produce a **radically different** approach.
+
+```
+Prompt template for each sub-agent:
+
+Design an interface for: [module description]
+
+Requirements: [gathered requirements]
+
+Constraints for this design: [assign a different constraint to each agent]
+- Agent 1: "Minimize method count - aim for 1-3 methods max"
+- Agent 2: "Maximize flexibility - support many use cases"
+- Agent 3: "Optimize for the most common case"
+- Agent 4: "Take inspiration from [specific paradigm/library]"
+
+Output format:
+1. Interface signature (types/methods)
+2. Usage example (how caller uses it)
+3. What this design hides internally
+4. Trade-offs of this approach
+```
+
+### 3. Present Designs
+
+Show each design with:
+
+1. **Interface signature** - types, methods, params
+2. **Usage examples** - how callers actually use it in practice
+3. **What it hides** - complexity kept internal
+
+Present designs sequentially so user can absorb each approach before comparison.
+
+### 4. Compare Designs
+
+After showing all designs, compare them on:
+
+- **Interface simplicity**: fewer methods, simpler params
+- **General-purpose vs specialized**: flexibility vs focus
+- **Implementation efficiency**: does shape allow efficient internals?
+- **Depth**: small interface hiding significant complexity (good) vs large interface with thin implementation (bad)
+- **Ease of correct use** vs **ease of misuse**
+
+Discuss trade-offs in prose, not tables. Highlight where designs diverge most.
+
+### 5. Synthesize
+
+Often the best design combines insights from multiple options. Ask:
+
+- "Which design best fits your primary use case?"
+- "Any elements from other designs worth incorporating?"
+
+## Evaluation Criteria
+
+From "A Philosophy of Software Design":
+
+**Interface simplicity**: Fewer methods, simpler params = easier to learn and use correctly.
+
+**General-purpose**: Can handle future use cases without changes. But beware over-generalization.
+
+**Implementation efficiency**: Does interface shape allow efficient implementation? Or force awkward internals?
+
+**Depth**: Small interface hiding significant complexity = deep module (good). Large interface with thin implementation = shallow module (avoid).
+
+## Anti-Patterns
+
+- Don't let sub-agents produce similar designs - enforce radical difference
+- Don't skip comparison - the value is in contrast
+- Don't implement - this is purely about interface shape
+- Don't evaluate based on implementation effort