careergraph-mentor

Converts a learner’s career background into a structured CareerGraph plan as graph-safe JSON for Neo4j. Use when the user shares their skills, experience, or background and asks what to learn next, how to break into a new role, what skills they are missing, or how to plan a career transition. Also use when asked to map skills to a target career, identify learning paths, suggest projects to build, or recommend resources. Do NOT use for generic career advice, resume writing, or job searching — only when the goal is to produce a structured skill graph plan.

1.83x

Quality

93%

Does it follow best practices?

Impact

97%

1.83x

Average score across 3 eval scenarios

Securityby

Passed

No findings from the security scan

Quality

Content

87%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 body is lean and highly actionable with a complete JSON template and crisp rules, but the generation workflow is presented as rules rather than an explicit sequenced process and lacks a final validation step confirming graph-relationship conformance.

Suggestions

Add a short numbered workflow (extract evidence → derive missingSkills/careerRequires → build prerequisites/projects/resources → select nextBestSkill → verify conformance) so the sequence is explicit rather than implied by section order.

Add an explicit validation checkpoint: 'Before returning, confirm every recommendation maps to one of the five graph relationships and every missingSkill appears in careerRequires.'

Add a guardrail in Sparse Profiles to re-check that nextBestSkill is drawn from missingSkills and prerequisites reference only listed skills, closing the validation loop for sparse inputs.

Dimension	Reasoning	Score
Conciseness	Lean bullet-based rules with no padding and no explanation of concepts Claude already knows; every section (Purpose, Extraction Rules, Output Format, Sparse Profiles) earns its tokens.	5 / 5
Actionability	Provides a complete, copy-paste-ready JSON output template plus explicit extraction rules and graph relationship constraints, giving fully executable guidance for the common case.	5 / 5
Workflow Clarity	The sections imply a logical sequence (extract → find missing skills → build relationships → pick nextBestSkill) but it is never made explicit as numbered steps, and there is no validation checkpoint verifying the output conforms to the Graph Relationship Rules before returning.	3 / 5
Progressive Disclosure	A compact, well-organized single-purpose skill with clear section headers and no bundle files or nested references, matching the under-50-line simple-skill exception.	5 / 5
	Total	18 / 20 Passed

Description

100%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.

An excellent description: third-person voice, concrete actions, natural trigger phrases, and explicit positive and negative boundary guidance. It tells Claude precisely what to produce and when to invoke the skill.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'Converts a learner's career background into a structured CareerGraph plan as graph-safe JSON for Neo4j' plus 'map skills', 'identify learning paths', 'suggest projects', 'recommend resources' — giving comprehensive, specific coverage rather than vague language.	5 / 5
Completeness	Explicitly answers both 'what' (converts background into graph-safe JSON for Neo4j) and 'when' (concrete 'Use when...' triggers), and adds a 'Do NOT use for...' boundary clause, matching the top anchor.	5 / 5
Trigger Term Quality	Packs in natural user phrases — 'what to learn next', 'break into a new role', 'what skills they are missing', 'plan a career transition' — covering the synonyms and variations a user would actually say.	5 / 5
Distinctiveness Conflict Risk	The CareerGraph/Neo4j niche and explicit negative boundary ('Do NOT use for generic career advice, resume writing, or job searching') give it a clear niche with minimal conflict risk.	5 / 5
	Total	20 / 20 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: alinjfz/CareerMentorGraph
Path: tessl/careergraph-mentor/SKILL.md
Commit: ae366ff

Reviewed: 3 days ago

Table of Contents

Discovery Implementation Validation

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