Conciseness

The body is dense and command-first with essentially no explanation of concepts Claude already knows — every line is a rule, command, or gate. Minor trims exist: the time-sensitive "--skip-skills flag is currently neutered (temporary, while the skills.sh registry catches up)" note, and Lambda coverage repeated across the Workflow, its own section, and the routing row, which keeps it just under the lean anchor 5 and well above anchor 3's unnecessary-explanation level.

Actionability

Fully executable, copy-paste-ready commands throughout: every workflow step is a literal `npx hyperframes …` invocation, the doctor gate is a complete pipeline ("npx hyperframes doctor --json | jq -e '.ok' > /dev/null"), post-render verification includes the exact shell check and ffprobe command, and snapshot usage explains how to compute the <t1>,<t2> midpoint values ("data-start + data-duration/2") — matching anchor 5's coverage of common cases with concrete commands.

Workflow Clarity

The 7-step Scaffold→Write→Lint→Validate→Inspect→Preview→Render sequence has explicit validation checkpoints ("Run lint, validate, and inspect before preview"), a user-approval gate before render, post-render verification, and a completion-gate section with a red-flags table mapping observed failures to root causes — a clear error-recovery feedback loop matching anchor 5.

Progressive Disclosure

The body is a genuine overview with a routing table that maps each task cluster to one of six reference files, all of which exist in references/ and are substantive, one level deep with no nesting. Decision-critical detail (agent conventions, completion gates) is appropriately kept inline while bulk per-command detail is deferred — matching anchor 5's clear overview with well-signaled references and easy navigation.

Specificity

The description enumerates concrete command-level triggers ("npx hyperframes init, add, catalog, capture, lint, validate, inspect…") plus "troubleshooting the HyperFrames build/render environment" and "Entry point for AWS Lambda cloud rendering", which is specific and near-comprehensive. It stops short of anchor 5 because the capabilities themselves (scaffold a video project, lint/validate compositions, render videos) are conveyed only via command names rather than stated as concrete actions, and it exceeds anchor 3 because far more than 1–2 actions are named.

Completeness

Both parts are present: the "what" ("HyperFrames CLI dev loop", "Entry point for AWS Lambda cloud rendering") and a fully explicit "when" ("Use when running npx hyperframes [commands]… or when troubleshooting the HyperFrames build/render environment") with concrete trigger phrases. It falls just under anchor 5 because the "what" is a label ("dev loop") rather than an explicit verb-level statement of what the skill does, while clearly exceeding anchor 4's weaker-when bar.

Trigger Term Quality

Good keyword coverage: the tool name, ~25 natural subcommand terms users would actually type (lint, render, doctor, snapshot, tts, remove-background), plus "troubleshooting" and "AWS Lambda" phrasing. Not anchor 5 because a few natural task-level phrases users might say are missing (e.g., "make/render a video", "video project", "Studio", "snapshot a frame"); not anchor 3 because coverage already includes synonyms like tts/transcribe and both CLI and cloud-render vocabulary.

Distinctiveness Conflict Risk

"HyperFrames" is a unique named tool with distinctive subcommand triggers (hyperframes lambda deploy/render/progress/destroy/policies, remove-background, doctor), giving it a clear niche with minimal overlap risk against generic skills — matching the anchor 5 example's profile of a named format plus specific triggers.