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common-product-requirements

Standardize PRD discovery and drafting for product scope, user outcomes, requirement IDs, and acceptance criteria. Use when creating PRD, product requirements, feature specification, or acceptance criteria plan.

68

Quality

83%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Discovery

89%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a solid skill description that clearly identifies its domain (PRD/product requirements) and includes an explicit 'Use when' clause with natural trigger terms. The main weakness is that the 'what' portion could be more concrete in describing specific actions rather than using somewhat abstract terms like 'standardize' and 'discovery'. Overall it performs well for skill selection purposes.

Suggestions

Replace abstract verbs like 'standardize' and 'discovery' with more concrete actions such as 'generate requirement IDs', 'draft acceptance criteria', 'define user outcomes' to improve specificity.

DimensionReasoningScore

Specificity

Names the domain (PRD/product requirements) and mentions some actions like 'discovery and drafting' along with specific outputs (product scope, user outcomes, requirement IDs, acceptance criteria), but the actions themselves are somewhat abstract—'standardize' and 'discovery' are vague compared to truly concrete actions like 'generate requirement IDs' or 'draft acceptance criteria tables'.

2 / 3

Completeness

Clearly answers both 'what' (standardize PRD discovery and drafting for product scope, user outcomes, requirement IDs, and acceptance criteria) and 'when' (explicit 'Use when' clause listing creating PRD, product requirements, feature specification, or acceptance criteria plan).

3 / 3

Trigger Term Quality

Includes strong natural trigger terms that users would actually say: 'PRD', 'product requirements', 'feature specification', 'acceptance criteria plan'. These cover the most common ways a user would phrase requests in this domain.

3 / 3

Distinctiveness Conflict Risk

The description carves out a clear niche around PRD creation and product requirements documentation with specific trigger terms like 'PRD', 'requirement IDs', and 'acceptance criteria' that are unlikely to conflict with other skills.

3 / 3

Total

11

/

12

Passed

Implementation

77%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a well-structured, concise skill with a clear three-phase workflow and strong verification checklist. Its main weakness is limited actionability—it describes what to do at a process level but lacks concrete examples of actual PRD output (e.g., a sample REQ-* entry, a filled template section, or a complete discovery Q&A exchange). The referenced template and checklist files are missing from the bundle, which limits the skill's completeness.

Suggestions

Add a concrete example of a well-formed requirement entry (e.g., 'REQ-001: User can reset password via email link | Owner: Auth Team | Status: Draft | BRD Ref: OBJ-3') to improve actionability.

Include a brief sample of a filled PRD section or a before/after example showing how discovery answers map to template fields.

Provide the referenced bundle files (references/prd-template.md and references/checklist.md) or inline minimal versions so the skill is self-contained.

DimensionReasoningScore

Conciseness

The content is lean and efficient. Every line serves a purpose—no explanations of what a PRD is, no padding. Bullet points are tight, examples are minimal but illustrative, and Claude's intelligence is respected throughout.

3 / 3

Actionability

The skill provides structured guidance with specific steps (ask 3-5 questions, provide options, assign REQ-*/AC-* IDs, write to specific paths), but lacks concrete executable examples—e.g., no sample PRD snippet, no example of a well-formed REQ-* entry, no example of mapping to BRD objectives. The example given ('Target platform? a) Web b) Mobile c) Both') is helpful but insufficient for full actionability.

2 / 3

Workflow Clarity

The three-phase workflow (Discovery → Drafting → Verification) is clearly sequenced with an explicit iterative loop in Discovery ('Repeat until Actionable State'), concrete filesystem operations in Drafting, and a mandatory verification checklist that serves as a validation checkpoint before completion. The anti-patterns section adds guardrails for error prevention.

3 / 3

Progressive Disclosure

References to `references/prd-template.md` and `references/checklist.md` are well-signaled and one level deep, which is good. However, no bundle files were provided, meaning these references point to non-existent files, undermining the actual utility of the progressive disclosure structure. The main content is appropriately concise for an overview but the missing referenced files weaken the score.

2 / 3

Total

10

/

12

Passed

Validation

81%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation9 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

9

/

11

Passed

Repository
HoangNguyen0403/agent-skills-standard
Reviewed

Table of Contents

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