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find-your-level

Interactive quiz that maps your AI/ML knowledge to a starting point in the 523-lesson, 20-phase AI Engineering from Scratch curriculum. Trigger phrases: "where should I start", "find my level", "what do I know", "which phase", "assess my knowledge", "placement test", "skip ahead"

Quality

87%

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SecuritybySnyk

Passed

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The canonical home for this skill is find-your-level in rohitg00/ai-engineering-from-scratch

SKILL.md
Quality
Evals
Security

Quality

Content

86%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-constructed instruction-only skill body: fully actionable quiz content, exact scoring and output formats, and exemplary progressive disclosure (externalized answer key with lazy per-round reads, canonical ROADMAP.md for time estimates). The only notable gaps are minor: a few trimmable asides and no handling for invalid learner input.

Suggestions

Add a brief rule for handling invalid or ambiguous replies (e.g. re-ask the question once, then score it 0), which would close the workflow-clarity gap.

Trim filler lines such as "Works with any agent." and the parenthetical justifications on the Phase 0 rule to tighten token efficiency.

DimensionReasoningScore

Conciseness

The body is efficient: quiz structure, scoring, and administration rules are stated in tight imperative prose ("Each question is worth 1 point (0 = wrong or blank, 1 = correct)"), and the bulk of the text is the operative quiz payload rather than explanation of concepts Claude already knows. It is not a 5 because small trims are possible (e.g. "Works with any agent.", the restated rationale in "Phase 0 ... (it is tooling setup, not knowledge)"). It is well above anchor 3 since no section teaches background material.

4 / 5

Actionability

Everything is executable: the exact 10 questions with lettered options, exact scoring rules, a literal reply template ("Reply with Q1: <letter>, Q2: <letter>."), an exact score-to-entry-point table, a concrete output-table format with skip/review/do rules, and a precise instruction to parse hours from ROADMAP.md headings matching `(~N hours)` with a fallback URL. For an instruction-only skill this is copy-paste-ready guidance covering the common cases, matching the top anchor.

5 / 5

Workflow Clarity

The sequence is clear and checkpointed: greet, run rounds of 2, "score that area before moving on", report each area score ("Math & Statistics: 2/2"), then breakdown, entry-point mapping, learning-path table, recommendation, and next step. This sits at anchor 4 (clear sequence, most checkpoints present) rather than 5 because there is no error-recovery loop for malformed or ambiguous learner replies (e.g. what to do with an answer that is not a letter), and it is above anchor 3 because per-round scoring checkpoints are explicit.

4 / 5

Progressive Disclosure

Structure is appropriate and one level deep: the answer key is correctly externalized to references/answer-key.md (a real, well-signaled file) with per-round lazy-read instructions, and time estimates are pulled from the canonical ROADMAP.md (local parse with a fetch fallback) instead of being hardcoded. The inline quiz questions are the operative payload needed at every invocation, so inlining them is appropriate navigation-wise. This matches the clear-overview, well-signaled, one-level-deep anchor.

5 / 5

Total

18

/

20

Passed

Description

85%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 description with explicit, natural trigger phrases and a clear what/when pairing for a well-scoped niche. Its main weakness is voice and action coverage: it speaks in second person ("your AI/ML knowledge") and describes only one action, which the rubric penalizes on specificity.

Suggestions

Rewrite in third person to avoid the voice penalty, e.g. "Administers an interactive placement quiz that maps a learner's AI/ML knowledge to a starting point in the 523-lesson, 20-phase AI Engineering from Scratch curriculum."

Name the concrete downstream actions, e.g. "...scores 10 questions across 5 knowledge areas, maps the total to an entry phase, and generates a personalized 20-phase learning path."

Add one or two more natural trigger variations users might say, such as "what's my level" or "where do I begin", to round out coverage.

DimensionReasoningScore

Specificity

The description names the domain ("AI/ML knowledge", "AI Engineering from Scratch curriculum") and one concrete action ("Interactive quiz that maps your ... knowledge to a starting point"), which fits the anchor-3 level of 1-2 concrete actions. However, it uses second-person voice ("maps your AI/ML knowledge"), and the rubric mandates a 1-point specificity penalty for non-third-person voice, bringing it to 2. It is not a 1 because the action and domain are genuinely concrete (quiz, placement, 523-lesson/20-phase curriculum), unlike 'Helps with documents'.

2 / 5

Completeness

It explicitly answers both parts: the 'what' ("Interactive quiz that maps your AI/ML knowledge to a starting point in the ... curriculum") and the 'when' via an explicit trigger list ("Trigger phrases: ..."), which is equivalent explicit trigger guidance with concrete phrases. It clearly matches the anchor requiring both what and when with concrete trigger phrases; a 4 would require the 'when' to be less explicit than this enumerated list.

5 / 5

Trigger Term Quality

Seven natural trigger phrases are listed: "where should I start", "find my level", "what do I know", "which phase", "assess my knowledge", "placement test", "skip ahead". These are phrasings a user would naturally say, covering synonyms and variations (assessment, placement, skipping ahead), matching the comprehensive-coverage anchor. Not a 4 because no commonly used variation is obviously missing for this niche.

5 / 5

Distinctiveness Conflict Risk

It occupies a clear niche (placement quiz for one specific named curriculum) with distinct triggers like "placement test" and "find my level". The most generic phrase, "where should I start", is still scoped by the curriculum context, keeping conflict risk minimal; this matches the clear-niche anchor rather than the mostly-distinct anchor 4.

5 / 5

Total

17

/

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

Path

.claude/skills/find-your-level/SKILL.md

Reviewed

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