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learning-opportunities

Facilitates deliberate skill development during AI-assisted coding. Offers interactive learning exercises after architectural work (new files, schema changes, refactors). Use when completing features, making design decisions, or when user asks to understand code better. Triggers on "learning exercise", "help me understand", "teach me", "why does this work", or after creating new files/modules. Do NOT use for urgent debugging, quick fixes, or when user says "just ship it".

69

Quality

84%

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SKILL.md
Quality
Evals
Security

Quality

Content

82%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.

A well-crafted behavioral skill body: concrete, copy-paste-ready dialogue templates, a clearly sequenced pause-and-wait workflow, and a properly signaled one-level-deep reference. It is lean and actionable with only minor redundancy and no explicit error-recovery loop.

DimensionReasoningScore

Conciseness

Lean and well-organized with no padding of concepts Claude already knows; every section earns its place. Minor redundancy ('offering exercises more than twice per session' appears in both 'When NOT to offer' and 'Anti-patterns') keeps it just below a 5.

4 / 5

Actionability

Provides copy-paste-ready dialogue templates with exact phrasing ('Would you like to do a quick learning exercise on [topic]? About 10-15 minutes.') across three concrete exercise types, plus specific escalation cues for early/later/advanced familiarity.

5 / 5

Workflow Clarity

The offer -> ask -> [STOP] -> wait -> branch (correct/wrong) sequence is clearly laid out with explicit [STOP — wait for response] checkpoints and a correct/wrong feedback branch. Not a destructive/batch operation so the validation cap does not apply; falls just short of 5 because there is no explicit error-recovery loop.

4 / 5

Progressive Disclosure

Body is well-organized into clear sections and the one-level-deep reference (references/PRINCIPLES.md, verified to exist) is clearly signaled for the underlying learning science. Content is appropriately split between operational techniques (main) and principles (reference); just shy of 5 because the main body is fairly substantial with multiple inline dialogue examples.

4 / 5

Total

17

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20

Passed

Description

86%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.

A strong, well-structured description that clearly states both capability and trigger conditions with concrete natural-language phrases and useful negative-trigger guidance. Its only weakness is that the actionable capability set is narrow (essentially offering exercises), limiting the specificity ceiling.

DimensionReasoningScore

Specificity

Names the domain and 1-2 concrete actions ('Offers interactive learning exercises after architectural work (new files, schema changes, refactors)'), but the core capability is essentially a single action (offer exercises) rather than a comprehensive list of distinct actions.

3 / 5

Completeness

Explicitly answers both what ('Facilitates deliberate skill development... Offers interactive learning exercises') and when ('Use when completing features, making design decisions... Triggers on...'), with concrete trigger phrases and explicit negative-trigger guidance.

5 / 5

Trigger Term Quality

Provides comprehensive natural trigger phrases users would actually say — 'learning exercise', 'help me understand', 'teach me', 'why does this work' — plus contextual triggers (after creating new files/modules).

5 / 5

Distinctiveness Conflict Risk

Has a clear niche (deliberate skill development during AI-assisted coding) with distinct triggers and negative boundaries, though generic explanation phrases like 'help me understand' could minor-overlap with general explanation skills.

4 / 5

Total

17

/

20

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
tech-leads-club/agent-skills
Reviewed

Table of Contents

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