Conciseness

The body is dense with non-obvious domain knowledge (server- vs client-side signatures, flush/buffering behavior, flag-evaluation prerequisite, metricValue unit pitfalls) and avoids explaining basics. Minor over-explanation could be trimmed: the opening paragraph restates the five workflow steps, and the Step-5 delay note plus "Important Context" bullets slightly overlap. Matches the anchor "efficient; minor instances of over-explanation that could be trimmed" — not 5 because those few redundant sentences don't each earn their place.

Actionability

Fully executable throughout: concrete search strings ("ldClient.track(", "package.json", "go.sum"), a signature table per SDK type, copy-paste-ready track() snippets for count/value metrics, exact MCP tool invocations, and a specific troubleshooting table with remediation checks. Matches "fully executable; copy-paste ready... specific examples cover the common cases".

Workflow Clarity

Five clearly sequenced steps with explicit checkpoints: a confirmation gate in Step 3 ("Show the candidate location to the user before writing anything"), and a full verify-then-diagnose feedback loop in Step 5 (trigger action → list-metric-events → problem/check table → retry given the ~5 min delay). This matches the anchor-5 example's validate-fix-retry structure. The operation is additive, not destructive/batch, so no cap applies.

Progressive Disclosure

SKILL.md stays at overview level (workflow, decision rules, common cases) and delegates per-language syntax, package names, and initialization examples to a single one-level-deep reference (references/sdk-track-patterns.md, verified to exist, 340 lines) that is clearly signaled four times inline and again in a closing References section with a content description. Matches "clear overview with well-signaled one-level-deep references; content appropriately split".

Specificity

Multiple concrete actions in third-person voice: "Instrument a LaunchDarkly metric event", "adding a track() call", plus the trigger list names distinct operations ("wire up an event", "instrument an action for a metric", "add tracking to a feature", "confirm that an event is flowing"). This matches the anchor "lists multiple specific concrete actions; comprehensive coverage" — the skill has a narrow scope and the description covers it fully. Not a 4 because there is no meaningful gap in coverage for the skill's domain.

Completeness

Explicitly answers both questions with concrete trigger phrases: what — "Instrument a LaunchDarkly metric event in a codebase by adding a track() call"; when — "Use when the user wants to wire up an event, instrument an action..., add tracking..., or confirm that an event is flowing." This matches the anchor-5 good example structurally. Not a 4 because the 'when' clause is already explicit with concrete triggers, not merely present.

Trigger Term Quality

Good natural-phrase coverage: "wire up an event", "instrument an action", "add tracking to a feature", "confirm that an event is flowing", "metric", "LaunchDarkly", "track()". It falls just below the anchor-5 "comprehensive coverage including synonyms" because common user phrasings like "send events to LaunchDarkly", "custom event", or "measure conversions/experiment metrics" are absent.

Distinctiveness Conflict Risk

Clear niche (LaunchDarkly metric instrumentation via track()) with distinct, product-specific triggers; minimal conflict risk with any generic analytics or feature-flag skill. Only a sibling LaunchDarkly skill (e.g. metric creation) could overlap, and the explicit "track()" framing keeps the boundary sharp.