Conciseness

Lean and assumes Claude's competence — no preamble explaining what events or NDJSON are — with dense but earned prose in the subprocess-contract and jq sections; a few passages could be tightened further.

Actionability

Fully executable: copy-paste bash examples, exact `lark-cli` commands, a precise stderr ready-marker line, and a complete exit-code/reason table covering the common run cases.

Workflow Clarity

A clear 3-step call flow (list → schema → consume) with explicit validation signals (unknown domain fails with the valid set; block on the ready marker, never sleep; parse the error envelope, not message text) and an exit-code table that forms an error-recovery feedback loop.

Progressive Disclosure

SKILL.md is a clear overview with a well-signaled one-level-deep topic index pointing to seven real reference files in ./references/ (verified present), each summarized with its coverage scope for easy navigation.

Specificity

Lists multiple concrete actions — stream events as NDJSON via `lark-cli event consume <EventKey>`, subscribe/consume, bounded runs, stderr ready-marker — and enumerates covered event domains, giving comprehensive coverage.

Completeness

Explicitly states both what it does (stream events as NDJSON via the named command across listed domains) and when to use it ('Use for Lark bots, real-time message processing...'), with concrete trigger phrases.

Trigger Term Quality

Strong natural phrases users would say ('Lark bots', 'real-time message processing', 'long-running subscribers', 'streaming webhook/push handlers'), though some terms lean technical rather than colloquial.

Distinctiveness Conflict Risk

A clear niche — Lark/Feishu real-time event streaming via lark-cli with subprocess semantics — with specific trigger terms and minimal overlap risk with other skills.