Srs Generation

SRS Generation Skill

What Is a Software Requirements Specification?

A Software Requirements Specification (SRS) is a formal document that describes exactly what a software system must do and the constraints under which it must operate. It serves as the contractual bridge between stakeholders who define the product vision (captured in a PRD) and the engineering team that designs, builds, and tests the system. A well-written SRS eliminates ambiguity, reduces rework, and provides a single source of truth for every requirement the system must satisfy.

The two foundational standards for SRS documents are IEEE 830 (IEEE Recommended Practice for Software Requirements Specifications) and ISO/IEC/IEEE 29148 (Systems and Software Engineering -- Life Cycle Processes -- Requirements Engineering). IEEE 830 established the canonical section structure -- introduction, overall description, specific requirements -- and defined the quality attributes every requirement must exhibit: correctness, unambiguity, completeness, consistency, ranking for importance, verifiability, modifiability, and traceability. ISO/IEC/IEEE 29148 modernized this foundation by integrating requirements engineering into the full systems and software lifecycle, emphasizing stakeholder needs analysis, requirements analysis, and requirements validation as continuous activities rather than one-time documentation events. This skill combines the structural rigor of both standards with the pragmatic, metric-driven approach found in Amazon technical specifications, where every requirement must be tied to a measurable outcome.

Generation Workflow

The SRS generation process follows a six-step workflow designed to produce a complete, high-quality document:

Step 1: Scan Context

Before writing a single requirement, scan the project to build context:

@../shared/project-context.md

Execute the Project Context Protocol (PC.1 through PC.3) to establish the technical landscape — programming languages, frameworks, project profile, existing APIs, data stores. This ensures requirements are grounded in the real project environment rather than written in a vacuum. The detected project profile (PC.3) determines which non-functional requirement categories are most relevant (e.g., database-backed projects need data integrity NFRs; CLI tools need usability NFRs).

Step 2: Find the Upstream PRD

The most critical input to any SRS is the Product Requirements Document. The skill automatically searches for a matching PRD file (following the docs/<feature-name>/prd.md naming convention) and reads it thoroughly when found. The PRD provides the product vision, user stories, feature definitions, success metrics, and scope boundaries that the SRS must formalize into precise, testable requirements. If no PRD is found, the skill proceeds but flags that traceability to product-level requirements will be limited.

Step 3: Clarify Questions

The skill asks the user targeted clarification questions covering functional scope, performance targets, security needs, data requirements, integration points, availability and reliability expectations, compatibility constraints, and regulatory or compliance obligations. These questions fill gaps that the PRD may not address at the level of detail an SRS demands -- for example, specific response-time thresholds, concurrent-user targets, or data-retention policies.

Step 4: Generate the SRS

Using the template at references/template.md, the skill generates the full SRS document. Every section of the IEEE 830 structure is populated: introduction, overall description, functional requirements, non-functional requirements, data requirements, external interface requirements, and the requirements traceability matrix. Requirements are written following the conventions and quality standards described in the sections below.

Step 5: Traceability

If an upstream PRD was found, the skill builds a requirements traceability matrix (RTM) that maps every PRD feature or user story to one or more SRS requirements. This matrix ensures complete coverage -- no PRD item should be left without a corresponding SRS requirement -- and provides downstream documents (Technical Design, Test Plan) with a clear chain of custody for every requirement.

Step 6: Quality Check

Before finalizing, the skill loads the checklist at references/checklist.md and evaluates the generated document against every item. Any failed check triggers revision. The document is only written to disk once all checklist items pass.

Requirement ID Conventions

Every requirement receives a unique identifier that encodes its type and module or category:

• Functional Requirements: FR-<MODULE>-<NNN> where <MODULE> is a short uppercase label for the feature module (e.g., AUTH, CART, SEARCH, NOTIFY) and <NNN> is a zero-padded sequential number. Examples: FR-AUTH-001, FR-CART-012, FR-SEARCH-003.
• Non-Functional Requirements: NFR-<CATEGORY>-<NNN> where <CATEGORY> identifies the quality attribute (e.g., PERF, SEC, REL, AVL, MNT, PRT, USB) and <NNN> is a zero-padded sequential number. Examples: NFR-PERF-001, NFR-SEC-003, NFR-REL-002.

These IDs are used throughout the document -- in the requirements traceability matrix, in cross-references between related requirements, and in downstream documents such as technical designs and test plans. Consistent ID formatting is essential for automated traceability and search.

Functional Requirements Writing Standards

Each functional requirement is structured as a complete use case specification with the following elements:

• Requirement ID and Title: The unique identifier and a concise descriptive title.
• Description: A clear statement of what the system shall do, written from the perspective of the system behavior rather than the implementation approach.
• Actors: The user classes or external systems that participate in this requirement. Actors include both human users and AI agent consumers — if a requirement is exercised by an API client, automation tool, or other programmatic consumer, list that actor explicitly with its interaction pattern (REST API, async event, webhook, etc.).
• Preconditions: The conditions that must be true before the requirement can be exercised.
• Main Flow: A numbered sequence of steps describing the standard successful path through the use case.
• Alternative Flows: Branches from the main flow covering variations, error conditions, and edge cases.
• Postconditions: The observable state of the system after successful completion of the main flow.
• Acceptance Criteria: Specific, testable conditions that must be met for the requirement to be considered satisfied. Each acceptance criterion should be verifiable through inspection, demonstration, test, or analysis. For agent-facing requirements, acceptance criteria must be machine-verifiable — expressed as exact input/output contracts (e.g., "Given POST /api/v1/users with body {name, email}, then response status is 201 and JSON body contains {id, email, created_at}") rather than human-subjective descriptions.
• Priority: The importance level of the requirement (P0 = must-have, P1 = should-have, P2 = nice-to-have), consistent with the prioritization used in the upstream PRD.
• Source: A reference back to the PRD item or stakeholder request that originated this requirement.

Each functional requirement also carries a Priority Rationale field explaining why the assigned priority (P0/P1/P2) was chosen. Stating "P0" without justification is not sufficient — the rationale must connect the priority to a concrete consequence: "P0: the product cannot launch without this because it is the sole entry point for all user actions" or "P2: a manual workaround exists in v1 and user research shows it is acceptable for the first six months." Priority assignments that lack rationale are flagged as incomplete during the quality check.

In addition to individual requirement specifications, the SRS includes a CRUD matrix -- a table that maps data entities (rows) against Create, Read, Update, and Delete operations (columns), with each cell indicating which functional requirement governs that operation. The CRUD matrix provides a rapid completeness check: if an entity has no "Delete" operation defined, that may be intentional (soft-delete policy) or an oversight that needs resolution.

Non-Functional Requirements Categories

Non-functional requirements define the quality attributes and constraints of the system. Each NFR must include a specific, measurable metric, a target value, a measurement method, and a Threshold Rationale explaining why this specific target value was chosen rather than a higher or lower one. The rationale must cite at least one of: a business contract or SLA obligation, observed production baseline data, competitive benchmark, regulatory standard, or a cost/complexity trade-off analysis. NFR targets written without threshold rationale (e.g., "99.9% uptime" with no explanation) are treated as unsubstantiated guesses and flagged during the quality check. The SRS organizes NFRs into the following categories:

• Performance (NFR-PERF): Response times, throughput, latency percentiles (p50, p95, p99), concurrent user capacity, and resource utilization limits.
• Security (NFR-SEC): Authentication mechanisms, authorization models, encryption standards, data protection measures, vulnerability scanning requirements, and compliance with security frameworks.
• Reliability (NFR-REL): Mean time between failures (MTBF), mean time to recovery (MTTR), error rates, data integrity guarantees, and fault tolerance mechanisms.
• Availability (NFR-AVL): Uptime SLAs (e.g., 99.9%), planned maintenance windows, disaster recovery objectives (RPO/RTO), and geographic redundancy requirements.
• Maintainability (NFR-MNT): Code quality standards, documentation requirements, deployment frequency targets, and technical debt constraints.
• Portability (NFR-PRT): Supported platforms, browsers, operating systems, container runtimes, and cloud provider compatibility.
• Usability (NFR-USB): Accessibility standards (WCAG compliance level), internationalization requirements, maximum task-completion times, and user satisfaction targets.

Requirements Traceability Matrix

The requirements traceability matrix (RTM) is a table that establishes bidirectional links between PRD items and SRS requirements. Each row maps a PRD identifier to one or more SRS functional or non-functional requirement IDs, along with a coverage status (Fully Covered, Partially Covered, or Not Covered). The RTM serves three purposes: it confirms that every product need has been addressed, it enables impact analysis when requirements change, and it provides the foundation for downstream traceability into technical design and test planning.

Requirement Language Conventions

The SRS uses precise modal verbs to convey obligation levels, following IEEE 830 and RFC 2119 conventions:

• "shall": Indicates a mandatory requirement. The system must satisfy this requirement to be considered compliant. Example: "The system shall authenticate users via OAuth 2.0 before granting access to protected resources."
• "should": Indicates a recommended requirement. The system is expected to satisfy this requirement under normal circumstances, but justified exceptions are acceptable. Example: "The system should cache frequently accessed queries to reduce database load."
• "may": Indicates an optional requirement. The system is permitted but not required to implement this behavior. Example: "The system may provide a dark-mode theme for the user interface."

Avoiding ambiguous language is critical. Terms like "fast," "user-friendly," "efficient," or "robust" are never used in isolation. Every qualitative claim must be paired with a quantitative target (e.g., "The system shall return search results within 200ms at the 95th percentile" rather than "The system shall be fast").

Requirement Quality Attributes

Every requirement in the SRS -- functional or non-functional -- must satisfy four quality attributes:

1. Unambiguous: The requirement has exactly one interpretation. There is no room for disagreement about what the requirement means. Techniques for achieving unambiguity include using precise terminology defined in the glossary, avoiding pronouns with unclear antecedents, and stating explicit boundary conditions.
2. Testable: The requirement includes acceptance criteria or measurable targets that can be verified through testing, inspection, demonstration, or analysis. If a requirement cannot be tested, it must be rewritten until it can.
3. Traceable: The requirement can be traced both backward (to its source in the PRD or stakeholder request) and forward (to the design components and test cases that address it). Traceability is maintained through the requirement ID system and the RTM.
4. Complete: The requirement contains all information necessary for implementation. It specifies inputs, outputs, preconditions, postconditions, error handling, and boundary conditions without requiring the reader to make assumptions.

Reference Files

The SRS generation skill relies on two reference files:

• references/template.md: The complete SRS document template following IEEE 830 structure. This template defines every section, provides placeholder guidance, and establishes the formatting conventions for requirements, tables, and diagrams.
• references/checklist.md: The quality checklist used during the final validation step. It contains items organized into four categories -- completeness, quality, consistency, and format -- that the generated document must satisfy before it is written to disk.

Output Convention

The final SRS document is written to docs/<feature-name>/srs.md in the project root, where <feature-name> is a sanitized, lowercase, hyphen-separated slug derived from the user's input. The docs/<feature-name>/ directory is created if it does not already exist. If a file with the same name already exists, confirm with the user before overwriting. This naming convention places all documents for a feature in a single docs/<feature-name>/ directory (prd.md, srs.md, tech-design.md, test-cases.md) and enables automatic upstream document discovery by downstream skills.