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One-time onboarding for the AI Engineering from Scratch curriculum (523 lessons, 20 phases). Interviews the learner, runs the placement quiz, and writes LEARNING.md, a persistent study plan the learn skill drives. Trigger phrases: "start learning", "set up the course", "begin the curriculum", "onboard me", "create my learning plan"

75

Quality

94%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

88%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-structured onboarding orchestrator: a clear four-step workflow with real validation gates, a copy-paste-ready plan template, and explicit routing to sibling skills. It is lean and assumes Claude's competence, with only minor tightening available in the routing sections.

DimensionReasoningScore

Conciseness

The body is information-dense operational logic with no padding of concepts Claude already knows, but the resume-routing and focused-handoff sections run long and could be trimmed slightly; it is not 5 because not every token earns its place, and not 3 because there is no unnecessary explanation.

4 / 5

Actionability

Provides a copy-paste-ready LEARNING.md markdown template, exact interview questions with option sets, and the precise three-line handoff close; for an instruction-only skill the guidance is fully executable and covers the common cases, matching the top anchor.

5 / 5

Workflow Clarity

Steps 1-4 are explicitly sequenced with validation checkpoints (phase 0-19 validation with a list-and-ask fallback, the explicit-confirmation gate before archiving, the 'do not overwrite' guard) and a resume-routing decision tree that acts as a feedback loop; not 4 because checkpoints are explicit rather than implicit.

5 / 5

Progressive Disclosure

No bundle files exist; the single SKILL.md is well-organized with clear headers and one-level-deep references to sibling skills and ROADMAP.md that are explicitly signaled, but the dense inline routing/handoff sections represent a minor organization gap; not 5 because some conditional logic is densely inlined, not 3 because structure and signaling are good.

4 / 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.

A high-quality description: third-person, concrete, scoped to a single curriculum, and explicitly paired with natural trigger phrases so both what and when are answered. No vague fluff or over-claims.

DimensionReasoningScore

Specificity

Names the domain ('AI Engineering from Scratch curriculum, 523 lessons, 20 phases') and multiple concrete actions ('Interviews the learner, runs the placement quiz, and writes LEARNING.md'), matching the comprehensive-coverage anchor; it is not the level below because that anchor lists only 1-2 actions.

5 / 5

Completeness

Explicitly answers both what (interview, placement quiz, write LEARNING.md) and when via the dedicated 'Trigger phrases:' clause, satisfying the explicit-trigger-guidance requirement so the 3-cap does not apply; not 4 because 'when' is concrete and explicit, not merely present.

5 / 5

Trigger Term Quality

Lists five natural trigger phrases a user would actually say ('start learning', 'set up the course', 'begin the curriculum', 'onboard me', 'create my learning plan'), giving comprehensive synonym coverage; not 4 because no common natural variations are missing.

5 / 5

Distinctiveness Conflict Risk

Scoped to one specific curriculum with distinct onboarding triggers ('onboard me', 'begin the curriculum'), giving a clear niche with minimal overlap risk; not 4 because the niche and triggers are unambiguous rather than merely mostly distinct.

5 / 5

Total

20

/

20

Passed

Validation

93%

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

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
rohitg00/ai-engineering-from-scratch
Reviewed

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