Name: interview-system-designer
Rating: 68.8 (1 reviews)
Author: alirezarezvani

interview-system-designer

This skill should be used when the user asks to "design interview processes", "create hiring pipelines", "calibrate interview loops", "generate interview questions", "design competency matrices", "analyze interviewer bias", "create scoring rubrics", "build question banks", or "optimize hiring systems". Use for designing role-specific interview loops, competency assessments, and hiring calibration systems.

Quality

83%

Does it follow best practices?

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Securityby

Passed

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The canonical home for this skill is interview-system-designer in alirezarezvani/claude-skills

Quality

Content

72%Weight 40%Scale 1-5

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

The content is concise and provides concrete executable commands, but it is held back by an implicit-validation workflow and by references that point to bundle files which are not present. Tightening the workflow with real verification steps and shipping (or removing) the referenced files would raise the score.

Suggestions

Add explicit validation checkpoints to the Recommended Workflow with concrete commands (e.g., a script or checklist command that confirms rubric consistency and bias controls before rollout).

Create the referenced files under references/ and scripts/ (interview_planner.py, interview-frameworks.md, bias_mitigation_checklist.md, etc.) or remove the dead references so progressive disclosure points to real material.

Show a brief example of the script's JSON output in Quick Start so the executable guidance is fully copy-paste ready.

Dimension	Reasoning	Score
Conciseness	The body is lean and sectioned without padding; it assumes Claude's competence and never explains background concepts Claude already knows, so every token earns its place.	5 / 5
Actionability	Quick Start provides two concrete, executable python3 commands with real flags and arguments, but no example output or sample payload is shown, leaving a minor gap short of fully copy-paste-ready coverage.	4 / 5
Workflow Clarity	The Recommended Workflow lists five sequenced steps, but validation is only implicit ("Validate scoring rubric consistency", "Review for bias controls") with no concrete verification command or checkpoint; for a batch/planning system affecting hiring decisions, missing concrete validation caps the score at 3.	3 / 5
Progressive Disclosure	The body lists four references and a script in a clean, well-signaled one-level-deep structure, but those referenced files (references/*.md and scripts/interview_planner.py) do not actually exist in the bundle, so the disclosure points to dead paths rather than a well-organized supporting structure.	3 / 5
	Total	15 / 20 Passed

Description

95%Weight 40%Scale 1-5

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

The description is strong: it pairs a concrete capability statement with a rich set of natural trigger phrases, clearly answering both what the skill does and when to use it within a well-defined niche. The only minor weakness is that the 'what' action list could be more comprehensive rather than echoing the triggers.

Dimension	Reasoning	Score
Specificity	Names the domain and several concrete actions ("designing role-specific interview loops, competency assessments, and hiring calibration systems"), but the action list is modest and partly rephrases the triggers, leaving minor coverage gaps short of a comprehensive 5.	4 / 5
Completeness	Explicitly answers both 'what' (designing role-specific interview loops, competency assessments, calibration systems) and 'when' (quoted triggers plus a "Use for..." clause), satisfying the explicit-trigger requirement that would otherwise cap completeness at 3.	5 / 5
Trigger Term Quality	Extensive natural trigger phrases a user would actually say ("design interview processes", "create hiring pipelines", "generate interview questions", "design competency matrices", "analyze interviewer bias") provide comprehensive coverage of natural phrasings.	5 / 5
Distinctiveness Conflict Risk	Occupies a clear niche (interview/hiring system design) with distinct, specific triggers and minimal overlap risk with unrelated skills.	5 / 5
	Total	19 / 20 Passed

Validation

93%

Warnings & errors only

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

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
referenced_paths_exist	Referenced path issues: 7 missing	Warning

	Total	15 / 16 Passed

Repository: alirezarezvani/claude-skills
Path: .gemini/skills/interview-system-designer/SKILL.md
Commit: 19392f7

Reviewed: ~8 hours ago

Table of Contents

Discovery Implementation Validation

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