Conciseness

The body is mostly efficient — dense decision tables, exact tool names, no explaining of concepts Claude already knows — but includes avoidable repetition: the measureType-to-API translation is stated twice (Step 5 and the 'Measure Type Reference' section), the confirm-before-create rule is restated in Step 4's 'STOP HERE' paragraph and again at the top of Step 5, and 'Important Context' reiterates earlier points. This fits the 3 anchor (mostly efficient but could be tightened) rather than 2, since there are no padded or tutorial-style sections.

Actionability

Fully executable guidance throughout: exact MCP tool signatures ('create-metric(projectKey, key, name, kind, ...)' with per-parameter constraints), concrete track() snippets ('ldClient.track('event-key', null, numericValue)'), per-build-tool env var names (VITE_LD_CLIENT_SIDE_ID, REACT_APP_..., NEXT_PUBLIC_...), and a read-back verification checklist. Specific examples cover the common cases, matching the 5 anchor.

Workflow Clarity

A clear 6-step sequence with explicit validation checkpoints and feedback loops: a hard confirmation gate ('STOP HERE... Do not call any API'), an instrumentation sub-workflow that re-checks list-metric-events to confirm events are flowing before proceeding, a duplicate check via list-metrics before creation, and a get-metric read-back verification with a 5-point checklist. This matches the 5 anchor; there are no missing checkpoints for the risky steps.

Progressive Disclosure

No bundle files exist; everything is inlined in a ~290-line SKILL.md. Sectioning is clear (Prerequisites, Workflow steps, reference tables), but secondary material — the ~70-line SDK instrumentation guide (Step 2b) and the Measure Type Reference table — sits inline where it could live in one-level-deep reference files. This fits the 3 anchor (some structure, content that could be separate is inline) rather than 4, since the file is well past the size where the no-references simple-skill exception applies.

Specificity

Lists multiple concrete actions — 'Create a LaunchDarkly metric that measures what matters', 'Instruments the event first when needed (including SDK setup and .env)', 'creates and verifies the metric' — with comprehensive coverage of the skill's scope. It matches the 5 anchor (multiple specific concrete actions) rather than 4, which is reserved for lists with minor coverage gaps.

Completeness

Explicitly answers both: 'what' (create a metric, instrument the event first including SDK setup and .env, then create and verify) and 'when' ('Use when the user wants to create a metric, track an event, measure page views, button clicks, conversion, latency, error rate...'). Both are concrete and explicit, matching the 5 anchor.

Trigger Term Quality

'create a metric, track an event, measure page views, button clicks, conversion, latency, error rate, or any custom numeric or binary outcome' gives good natural-phrase coverage. Not 5 because a few plausible user phrasings (e.g. 'KPI', 'success metric', 'funnel') are missing; not 3 because the present terms are the natural things a user would say, not generic jargon.

Distinctiveness Conflict Risk

The 'LaunchDarkly' qualifier plus metric/event-specific triggers ('track an event', 'button clicks', 'error rate') carve a clear niche with minimal risk of firing for unrelated analytics or feature-flag skills. It does not fall to 4 because no closely related competing skill shares these triggers.