Skill

Generate Comprehensive Technical Specifications

A technical-spec skill structuring requirements, OpenAPI specs, data models, ADRs, security, and a phased delivery plan.

Works with githubpostgres

78
Spark score
out of 100
Updated 2 months ago
Source checked Aug 19, 2026
Version 1.0.0
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Why it matters

Create definitive technical specification documents that serve as blueprints for software development projects, ensuring clarity for development teams, architects, and stakeholders.

Outcomes

What it gets done

01

Define detailed functional and non-functional requirements using MoSCoW prioritization.

02

Document system architecture, data models, and API specifications using industry standards (OpenAPI, ERDs).

03

Incorporate Architecture Decision Records (ADRs) for key technical choices.

04

Outline security requirements, implementation plans, and testing strategies.

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-technical-spec-document | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

Technical Specification Document Writer

A technical-spec skill structuring MoSCoW-prioritized requirements, an OpenAPI-format API spec, SQL data models, ADRs, and concrete security requirements into an implementation-ready document. Use it for a definitive spec that teams will implement against, not for a lightweight one-pager or an early-stage exploratory proposal.

What it does

This is a technical-specification-writing skill that structures a spec document into five sections - Executive Summary, System Overview, Detailed Requirements (functional, non-functional, constraints and assumptions), Technical Design (architecture, data models, API specs, security), and an Implementation Plan (phases, dependencies and risks, testing strategy). Requirements are written with unique IDs and MoSCoW prioritization:

### FR-001: User Authentication [MUST HAVE]
**Description**: Users must authenticate using OAuth 2.0
**Acceptance Criteria**:
- Support Google, GitHub, and Microsoft SSO
- Session timeout after 24 hours
- Failed login attempts locked after 5 tries
**Dependencies**: OAuth service configuration
**Effort**: 5 story points

APIs are specified in OpenAPI 3.0 format with example request and response bodies, data models are documented as SQL DDL with explicit constraints and indexes, and major technical decisions get an Architecture Decision Record with status, context, decision, rationale, and consequences split into positive, negative, and risk.

When to use - and when NOT to

Use this skill when writing a definitive spec that development teams, architects, and stakeholders will actually implement against - it names concrete standards to hold requirements, APIs, and data models to: OpenAPI 3.0 for API contracts, explicit database constraints and indexing strategy for data models, and specific security requirements (JWT with RS256 signing, 1-hour access and 7-day refresh token expiration, AES-256 encryption at rest, TLS 1.3+ in transit) rather than vague security language. It also sets concrete testing and delivery gates - 80%+ unit test coverage, phase-based delivery with explicit acceptance criteria and risk mitigation - and treats the spec itself as a living document with monthly review cycles and stakeholder sign-off. It is not a lightweight requirements doc - the structure assumes a full implementation blueprint, so it isn't the right fit for a quick one-pager or an early-stage exploratory proposal.

Inputs and outputs

Input is the project's requirements, architecture decisions, and constraints; output is a structured specification document: prioritized functional and non-functional requirements with acceptance criteria and effort estimates, an OpenAPI-format API specification, SQL schema definitions with constraints and indexes, Architecture Decision Records for major choices (e.g. selecting PostgreSQL 15+ with read replicas for ACID compliance and JSON support), a phased implementation timeline with deliverables and acceptance criteria per phase, named compliance requirements (GDPR right-to-deletion and data portability, SOC 2 Type II audit logging, PCI DSS where payment data is handled), and a testing strategy spanning unit, integration, performance, security, and user-acceptance tests.

Integrations

References OpenAPI 3.0 for API documentation, standard SQL DDL for data models, and named compliance frameworks - GDPR, SOC 2 Type II, PCI DSS - as the security and compliance baseline.

Who it's for

Technical leads, architects, and product teams producing an implementation-ready specification who want a consistent structure for requirements, API contracts, data models, ADRs, security, and phased delivery, rather than an ad hoc requirements document.

FAQ

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Discussion

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