Conciseness

The body is dense and operational — SQL, terse bullets, and point values — with no explanation of concepts Claude already knows, placing it above 3. It falls short of 5 because the 'Common Patterns' section repeats four nearly identical good-candidate schemas and the poor-candidate examples restate the Option B schema indicators, which could be trimmed.

Actionability

Nearly all guidance is executable: copy-paste-ready SQL for table stats, indexes, pg_stat_statements (with an availability check), and constraints, plus a concrete point-based scoring rubric ('Has timestamp/timestamptz column: **3 points**'). Minor gaps — e.g., the required output 'Size: Current size and growth rate' has no query for growth rate, and several queries need placeholder substitution — hold it at 4 rather than 5.

Workflow Clarity

A clear two-step sequence (schema analysis via Option A/B → candidacy scoring) with per-query 'Look for' checkpoints and an explicit decision gate ('8+ points = good candidate') plus an availability check for pg_stat_statements, matching the 4 anchor. It lacks 5's feedback loops — no guidance for ambiguous results, zero-candidate outcomes, or how to re-check when data is inconclusive.

Progressive Disclosure

The file is well-sectioned with headers and a clear pointer to the companion 'migrate-postgres-tables-to-hypertables' skill, but it is a ~300-line monolith with no bundle files or reference structure — the 'Common Patterns' schema catalog and the ID-based special case are content that belongs in a separate references file. This matches the 3 anchor ('some structure but... content that should be separate is inline') rather than 4, which requires most bulk content placed in clearly signaled external files.

Specificity

Names the domain (PostgreSQL → TimescaleDB hypertable conversion) and multiple concrete actions: 'analyze an existing PostgreSQL database and identify which tables should be converted', 'Provides SQL queries to analyze table statistics, index patterns, and query patterns', 'Includes scoring criteria (8+ points = good candidate) and pattern recognition for IoT, events, transactions, and sequential data'. Coverage of the skill's capabilities is comprehensive with no notable gaps, matching the 5 anchor rather than 4.

Completeness

Both what and when are explicit: the what ('analyze an existing PostgreSQL database and identify which tables should be converted... Provides SQL queries... Includes scoring criteria') and the when ('**Trigger when user asks to:**' followed by five concrete trigger scenarios). This matches the 5 anchor exactly; the when is not merely implied as at 4.

Trigger Term Quality

Strong keyword list ('hypertable candidate, table analysis, migration assessment, Timescale, TimescaleDB, time-series detection, insert-heavy tables, event logs, audit tables') plus five explicit trigger bullets ('Score or rank tables for hypertable candidacy'). A few natural user phrasings are missing (e.g., 'convert to hypertable', 'time-series data', 'telemetry', 'sensor data'), so it sits at 4 rather than 5.

Distinctiveness Conflict Risk

Clear niche (hypertable candidacy analysis) with distinct, specific triggers, so well above the 3 anchor. However, the 'migration assessment' keyword and 'Audit PostgreSQL tables for migration to Timescale/TimescaleDB/TigerData' trigger overlap with the companion 'migrate-postgres-tables-to-hypertables' skill referenced in the body, keeping it at 4 rather than 5.