pragmatic-spec-create

name	pragmatic-spec-create
description	This skill should be used when the user asks to "create a spec", "write a technical specification", "document this feature as a spec", "create a spec for this story", "create spec for module", "generate a spec", "write a spec document", or needs to formalize a feature, story, or module as a structured technical specification document.

pragmatic-spec-create

Create a structured technical specification document for a feature, story, or module.

Purpose

Produce a complete, pragmatic spec document that defines the problem, proposed solution, technology decisions, detailed design, and acceptance criteria. Specs live in docs/specs/ and serve as the source of truth for implementation decisions — including explicit technology choices made by the team.

When This Skill Applies

Use this skill when no spec exists yet and the user wants to formally document a feature, story, or module.

Do not use when:

• A spec already exists and the user wants to modify it → use pragmatic-spec-update
• A spec already exists and the user wants a quality review → use pragmatic-spec-validate

Edge case: if the user says "improve" or "rewrite" an existing spec, clarify whether they want targeted updates to specific sections (pragmatic-spec-update) or to replace the entire document (pragmatic-spec-create with a fresh pass).

How to Create a Spec

Pre-condition 0 — Check for Project Constitution

Before anything else, check whether docs/constitution.md exists.

If it does NOT exist:

Use AskUserQuestion to ask:

"No project constitution found at docs/constitution.md. A constitution defines cross-module rules, global stack decisions, and AI guardrails that apply to every spec — writing this feature spec without one may produce decisions that conflict with undocumented global constraints.

Would you like to create a constitution first, or continue without one?"

Options:

• Create constitution first — end this skill now and run pragmatic-project-constitution. Return here after the constitution is created.
• Continue without it — proceed. Note that global tech stack and cross-module constraints will not be enforced for this spec.

If it EXISTS:

Load docs/constitution.md in full and hold it as active context for the rest of this skill. It will be used in Step 4 to skip questions already answered globally and to flag any decisions that conflict with the constitution.

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Pre-condition 1 — Check for Existing Spec

Before anything else, determine the <feature-slug> from the user's message and check whether docs/specs/<feature-slug>.md already exists.

If the file exists:

"A spec already exists at docs/specs/<feature-slug>.md. This skill will replace it. Did you mean to:

• Update specific sections → use pragmatic-spec-update
• Review its quality → use pragmatic-spec-validate

I will only continue if you explicitly confirm you want to replace the existing spec."

STOP. Do not proceed until the user explicitly confirms they want to replace the existing spec. If the user wants to update or validate instead, end this skill now.

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Step 0 — Language Selection

Infer the document language before asking:

1. Detect user message language — if ≥80% of prose words in the user's message are in pt-BR, es-ES, or en-US, use that language without asking
2. Check existing specs — if step 1 is ambiguous (e.g., mostly technical terms or code snippets), scan docs/specs/ for existing spec files and use their language if uniform
3. Ask only if inconclusive — if both steps above are ambiguous, use AskUserQuestion:

In which language would you like the spec document to be generated?

1. pt-BR — Portuguese (Brazil)
2. es-ES — Spanish (Spain)
3. en-US — English (United States)
4. Other — specify which language

Record the chosen language and use it consistently for all content in the generated document — section headings, descriptions, acceptance criteria, TODO comments, and the changelog.

Step 1 — Understand the Input

Extract from the user's message or conversation context:

• Feature name or slug — used for the filename (docs/specs/<feature-slug>.md)
• Problem or goal — what this feature solves
• Scope hints — any details about APIs, data models, behaviors already mentioned

Step 2 — Confirm Full Picture Before Proceeding

This is a mandatory step. Do not proceed until you have a complete understanding of the need.

After extracting the initial input, use AskUserQuestion to actively validate and deepen your understanding. The goal is to arrive at a full picture of the problem, the context, and the expected outcome — before touching the codebase or asking technology questions.

Ask only what is genuinely unclear or missing. Adapt the questions to the specific feature.

multiSelect rules for this step — always follow these:

• Goals: multiSelect: true — the user may have multiple objectives
• Non-Goals / Out of scope: multiSelect: true — multiple items can be out of scope simultaneously
• Success factors / Acceptance criteria hints: multiSelect: true — multiple success signals can apply at once
• Consumers / Constraints: multiSelect: true when multiple selections are possible

Example format:

Before I scan the codebase and ask about technology choices, let me confirm my understanding:

**Problem & Goal**
- [Restate what you understood the feature to solve — ask the user to confirm or correct]
- Who are the main users or consumers of this feature? → multiSelect: true

**Goals** → multiSelect: true
- What are the main objectives of this feature? (select all that apply)

**Non-Goals / Out of Scope** → multiSelect: true
- What is explicitly out of scope? (select all that apply)

**Constraints & Non-Negotiables** → multiSelect: true
- Are there any hard constraints? (deadlines, compliance, existing contracts, performance targets)

**Success Definition** → multiSelect: true
- How will we know this feature is working correctly? (select all that apply)
  Options: e2e flows passing, performance SLA met, staging approval, acceptance tests passing, etc.

Answer what you know — for anything undecided, just say so and we'll handle it as an open item.

STOP. Do not proceed to Step 2.5 until all three conditions below are met. A spec written without this confirmation will have gaps that pragmatic-spec-validate will FAIL:

• The problem and goal are clearly understood
• The scope boundaries are defined
• Any hard constraints are captured

Step 2.5 — Scope Validation

Evaluate whether the described scope is cohesive or spans multiple independent subsystems.

Signs of over-broad scope — flag if two or more apply:

• The feature name or description joins independent capabilities with "and" (e.g., "authentication and billing")
• The acceptance criteria would describe multiple distinct user workflows with no shared data model or primary entry point
• Removing one part of the scope would leave a complete, independently shippable feature

If the scope appears to cover multiple independent subsystems, do NOT proceed to Step 3. Assert:

"This feature covers [A] and [B] — these look like independent subsystems. A single spec spanning both will produce acceptance criteria that are harder to verify independently and will make pragmatic-spec-check less precise.

Recommended: create separate specs:

• docs/specs/<subsystem-a>.md
• docs/specs/<subsystem-b>.md

If these subsystems are genuinely interdependent (shared data model, single deployment unit, or one cannot ship without the other), confirm and I will proceed with a single spec."

STOP. Wait for user confirmation before proceeding.

• User confirms interdependence → proceed to Step 3
• User agrees to split → end this skill; run pragmatic-spec-create separately for each subsystem

Step 3 — Scan Existing Codebase

Before writing, search for:

• Related files or modules that reveal existing patterns and technology already in use
• Prior specs in docs/specs/ that may overlap
• Type definitions, interfaces, or configuration files that reveal tech stack choices

Note any technology already committed to in the codebase — these don't need to be asked again.

Step 4 — Technology Discovery Interview

This is a mandatory step. Ask the user targeted questions about technology decisions that are not already evident from the codebase. Do not make assumptions — let the user choose.

If a project constitution was loaded in Pre-condition 0: Before asking any question in this step, check whether the constitution already answers it. If it does, do not ask — state the decision as inherited:

"Database: PostgreSQL (from project constitution — no choice needed)"

If a technology option the user proposes conflicts with the constitution, flag it immediately:

"The constitution defines [X] as the only permitted [category]. Choosing [Y] would conflict with the project constitution. To proceed with [Y], update the constitution first via pragmatic-project-constitution-update."

Do not silently accept a decision that violates the constitution.

Use AskUserQuestion to ask. Group questions by concern to avoid overwhelming the user. Example format:

Before I write the spec, I need to clarify a few technology decisions:

**Data Layer**
- Where will this data be stored? Options: PostgreSQL, DynamoDB, Redis, in-memory, existing DB
- Do you need a cache layer? (yes / no / undecided)

**API / Interface**
- How should this be exposed? Options: REST endpoint, GraphQL mutation, internal service call, event/message
- Any authentication/authorization requirement? (JWT, OAuth, API key, existing auth middleware)

**Async / Background Processing**
- Does any part of this need to run asynchronously? Options: background job, queue (SQS/RabbitMQ/etc.), cron, synchronous only

**Infrastructure / Deployment**
- Are there constraints on where this runs? (Lambda, container, specific region, existing service)

**Testing Strategy**
- What test levels are expected for this feature? Options: unit only, unit + integration, unit + integration + e2e, contract tests, no automated tests
- Infer the testing framework from the codebase (Step 3) before asking — only ask if not evident
- Are there coverage gates or quality requirements? (e.g., all acceptance criteria must have a corresponding integration test)

Answer what you know; for anything undecided, just say so and it will remain as an open question in the spec.

Adapt the questions to what is actually relevant for the feature described. Skip categories that clearly don't apply. STOP. Do not write the spec until this step is complete. Technology decisions skipped here will appear as FAIL findings in pragmatic-spec-validate.

Step 5 — Generate the Spec Document

If the directory docs/specs/ does not exist, create it before writing the file.

Create the file at docs/specs/<feature-slug>.md using the full template in references/template.md.

Fill every section with concrete content:

• Capture all technology decisions made in Step 4 in section 5. Technology Decisions
• Use [TODO: decide — <options>] for choices the user marked as undecided, listing the options discussed
• Use [TODO: describe ...] for information that cannot be inferred and needs human input

Section 7 — Acceptance Criteria: Write every criterion in Given/When/Then format: Given [context], When [action], Then [observable result]. Each criterion must be specific enough for a developer to write a test case directly from it — no interpretation required. Include at minimum one happy-path criterion and one error or edge-case criterion.

Code blocks in sections 6.1 and 6.2: The template uses Go as placeholder syntax. Always adapt code blocks to the project's actual programming language — inferred from Step 3 codebase scan or from the technology stack discussed in Step 4. For example: use TypeScript interfaces for a Node.js project, Python dataclasses or Protocol classes for a Python project, Java interfaces for a JVM project.

When to add diagrams

Add a Mermaid diagram to section 6.3 (Behavior & Logic) when the behavior being described falls into one of these categories:

Situation	Diagram type
Multi-step request/response flow (3+ steps involving 2+ components)	sequenceDiagram
State transitions (e.g., order status, approval workflow)	stateDiagram-v2
Async flow with queues, events, or background processing	flowchart LR

Do not add a diagram for simple single-step operations or when the prose is already unambiguous without it. One diagram per distinct flow — do not combine multiple flows into a single diagram.

Step 6 — Output Summary

After writing the file:

1. State the file path created
2. Summarize the key decisions captured, especially technology choices
3. List any [TODO: ...] items that remain open, indicating who needs to decide

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Spec created — docs/specs/<feature-slug>.md (Status: Draft).

Next step: Run pragmatic-spec-validate to check completeness before sharing with the team or starting implementation. FAIL or WARN items → resolve with pragmatic-spec-update → re-validate until PASS → then proceed to pragmatic-spec-build.

Output Location

docs/specs/<feature-slug>.md

Additional Resources

Reference Files

• references/template.md — Full spec template with all sections and formatting guidance

Example Files

Use these examples as calibration targets for output structure, level of detail, diagram usage, and writing style. Each example showcases a different diagram type:

• examples/example-auth-spec.md — JWT authentication feature. Showcases sequenceDiagram for multi-step request/response flows (login + middleware validation)
• examples/example-order-notifications-spec.md — Async email notifications via SQS. Showcases flowchart LR for event-driven and asynchronous processing flows
• examples/example-order-lifecycle-spec.md — Order status state machine. Showcases stateDiagram-v2 for features with explicit state transitions and validity rules