Conciseness

The body is mostly tables and lists with no re-explanation of concepts Claude already knows, and every section carries operational information. However, the 'Quick Reference' table and the 'Reference Files' section list largely the same 15 files twice, which is a trimmable redundancy — 'efficient; minor instances... that could be trimmed' (anchor 4) rather than 5's 'every token earns its place'.

Actionability

Concrete and executable throughout: an exact curl example with the 'X-Api-Key' header, specific endpoints ('GET /v2/avatars', 'POST /v2/video/generate', 'GET /v2/videos/{video_id}'), real MCP tool names, and flags like 'Set test: true to avoid consuming credits'. The main gap is that the core generate call has no inline copy-paste example (it is delegated to video-generation.md), placing it at anchor 4 rather than 5's 'copy-paste ready code covering the common cases'.

Workflow Clarity

The 5-step Default Workflow is clearly sequenced with an endpoint and reference per step, and validation checkpoints exist (validate avatar/voice IDs before generating, preview avatars, poll until status is 'completed', use test mode). It stops short of anchor 5 because there is no explicit error-recovery loop (e.g., what to do when the poll returns a 'failed' status) in the body. Validation is present, so the batch/destructive cap of 3 does not apply.

Progressive Disclosure

Verified against the actual bundle: all 15 files referenced in the body exist in references/ and are exactly one level deep. Navigation is well-signaled three ways — a task-oriented 'Quick Reference' table, a categorized 'Reference Files' listing, and per-step links inside the Default Workflow — matching anchor 5's 'clear overview with well-signaled one-level-deep references; easy navigation'.

Specificity

The description lists multiple specific concrete actions — 'Choosing a specific avatar and voice', 'Writing exact scripts', 'Building multi-scene videos with different backgrounds per scene', 'Creating transparent WebM videos', 'Using talking photos', 'Batch video generation' — giving comprehensive coverage of the skill's domain. It fits the score-5 anchor ('multiple specific concrete actions; comprehensive coverage') better than 4, whose only distinguishing trait is 'minor gaps in coverage' that are not evident here.

Completeness

It explicitly answers both questions: the 'what' is 'Create AI avatar videos with precise control over avatars, voices, scripts, scenes, and backgrounds using HeyGen's v2 API', and the 'when' is an explicit 'Use when:' clause enumerating 8 concrete trigger scenarios. This matches the score-5 anchor ('clearly and explicitly answers both what AND when with concrete trigger phrases') and mirrors the good-overall PDF example.

Trigger Term Quality

Good natural keyword coverage: 'AI avatar videos', 'avatar', 'voice', 'scripts', 'transparent WebM', 'compositing', 'talking photos', 'batch video generation', 'Remotion', and 'HeyGen' itself. A few natural terms users might say are missing (e.g., 'AI presenter', 'digital human', 'talking head', 'voiceover'), which matches anchor 4 rather than 5's 'comprehensive coverage including synonyms'.

Distinctiveness Conflict Risk

The niche is clear (HeyGen v2 API, precise-control avatar video generation) with distinct triggers, but it shares a domain with a sibling 'create-video' skill and one trigger ('Brand-consistent production videos with precise control') is generic enough to overlap with it. This is 'mostly distinct; minor overlap risk with closely related skills' (anchor 4) rather than anchor 5's 'minimal conflict risk'.