Conciseness

Lean and efficient; it conveys LaunchDarkly-specific knowledge Claude does not already have (auto-attach from release policies, CUPED/percentile incompatibility, context-kind matching) with no filler or elementary concept explanation. Every token earns its place.

Actionability

Provides concrete MCP calls ("list-release-policies(projectKey)"), typed secondary-metric tables, and specific numeric guidance ("2–3 metrics maximum", "More than five creates false positive rollback risk"). Recommendations are copy-ready and decision-oriented.

Workflow Clarity

A clear 5-step sequence with explicit validation checkpoints: cross-referencing list-metrics with list-metric-events for event health, warning on at-risk metrics, and flagging context-kind mismatches, CUPED/percentile conflicts, and mid-experiment restarts. Error-recovery guidance is concrete ("Instrument the event before including it, or remove it").

Progressive Disclosure

Single-file skill with no bundle directories; the body is well-organized into prerequisites, workflow, important context, and related skills. The only references are one-level-deep pointers to sibling skills (metric-create, metric-instrument), clearly signaled and easy to navigate. Per the simple-skill scoring note, this warrants a 3.

Specificity

Lists multiple concrete actions across three distinct contexts — "Choose the right metrics for a LaunchDarkly experiment, guarded rollout, or release policy" and names specific sub-tasks (primary metric, guardrails, events to monitor). Matches the 'lists multiple specific concrete actions' anchor.

Completeness

Clearly answers both what ("Choose the right metrics...") and when with an explicit "Use when the user wants to know..." clause listing several trigger conditions. Both halves are present and explicit; third-person voice is maintained throughout.

Trigger Term Quality

Uses natural user phrasings such as "which metrics to use", "which is the primary metric for an experiment", "what guardrails to add", and "which events to monitor in a rollout" — the kinds of questions a user would actually voice. Good coverage of natural terms, not just jargon.

Distinctiveness Conflict Risk

Scoped narrowly to LaunchDarkly metric selection with context-specific triggers (primary metric, guardrails, auto-attached release-policy metrics), making it unlikely to fire for unrelated skills. Clear niche with distinct triggers.