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agentic-learning-mentor

Runs a structured 15-minute interactive learning session: assesses level via one-question-at-a-time intake, delivers personalised concept teaching with live code execution and tool use, assigns a hands-on task, then saves a dated session report .md file. Use when user says "I want to learn X", "I am curious about X", "I want to master X", "teach me X", "help me understand X", "walk me through X", "I want to explore X", or "how does X work". Do NOT use for general Q&A, code debugging, file editing, or tasks with no learning intent.

90

1.19x
Quality

96%

Does it follow best practices?

Impact

97%

1.19x

Average score across 2 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Content

92%

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

This is a high-quality skill with excellent structure, clear multi-phase workflow, and strong actionability through concrete examples, decision tables, and explicit guardrails with error handling. The content is concise and respects Claude's intelligence throughout. The main weakness is that all 7 referenced bundle files are missing, making it impossible to verify the progressive disclosure structure actually works end-to-end.

DimensionReasoningScore

Conciseness

The content is lean and well-structured. It uses tables, short bullet points, and concise phase descriptions without explaining concepts Claude already knows. Every section earns its place — no padding or unnecessary explanations of what mentoring or learning sessions are.

3 / 3

Actionability

Provides concrete, specific guidance at every phase: exact filename patterns, fallback behaviors, example dialogue, a decision table for teaching approach by level, and explicit guardrails with specific do/don't rules. The example interaction in Phase 1 is copy-paste usable.

3 / 3

Workflow Clarity

The 6-phase flow is clearly sequenced with time budgets, override conditions, and explicit validation/error handling (e.g., file save failure fallback, silent user recovery, topic too broad handling). The guardrails section adds feedback loops and hard constraints that prevent workflow failures.

3 / 3

Progressive Disclosure

The skill references 7 external files (question-bank.md, task-patterns.md, etc.) with clear 'read when' signals, which is excellent structure. However, no bundle files were provided, so we cannot verify these references resolve to real content. The main SKILL.md itself is well-organized but includes some inline detail (like the full Resource Engine quick rules) that could live entirely in the referenced file.

2 / 3

Total

11

/

12

Passed

Description

100%

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 an excellent skill description that hits all the marks. It provides specific concrete actions describing the structured learning session workflow, includes a comprehensive set of natural trigger phrases users would say, explicitly addresses both what the skill does and when to use it, and includes negative boundaries to prevent false triggering. The description is well-crafted and uses proper third-person voice throughout.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: assesses level via one-question-at-a-time intake, delivers personalised concept teaching with live code execution and tool use, assigns a hands-on task, saves a dated session report .md file. Very detailed and actionable.

3 / 3

Completeness

Clearly answers both 'what' (structured 15-minute interactive learning session with assessment, teaching, task assignment, and report saving) and 'when' (explicit 'Use when' clause with multiple trigger phrases, plus explicit exclusions via 'Do NOT use for').

3 / 3

Trigger Term Quality

Excellent coverage of natural trigger phrases users would actually say: 'I want to learn X', 'teach me X', 'help me understand X', 'walk me through X', 'how does X work', 'I am curious about X', 'I want to master X', 'I want to explore X'. These are highly natural and varied.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with a clear niche (structured learning sessions), explicit trigger phrases, and explicit negative boundaries ('Do NOT use for general Q&A, code debugging, file editing, or tasks with no learning intent') that minimize conflict with other skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

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

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
abm1119/agentic-learning-mentor
Reviewed

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.