Conciseness

The body is lean and assumes competence — no concepts are over-explained, and each paragraph delivers instructions. The sentence 'These examples are used for testing specific features against the actual provider APIs, and can also serve as documentation for users' is a minor trimmable redundancy with the frontmatter description, keeping it just below the every-token-earns-its-place anchor (5).

Actionability

Guidance is concrete and executable: the target directory ('examples/ai-functions'), specific top-level functions ('generateText', 'streamText', 'generateImage', 'generateSpeech'), a runnable command ('pnpm type-check:full'), and links to the bug-fix workflow and PR template. Minor gaps — no example of file naming/structure for a new example — keep it below fully copy-paste-ready coverage (5), but it is well above pseudocode-level guidance (3).

Workflow Clarity

The paragraphs form a clear sequence (review branch changes → determine model kind and function → create variants → run type-check and fix errors) with an explicit validation checkpoint ('run `pnpm type-check:full`; fix any errors encountered'). It falls short of anchor 5 because the sequence is implicit in paragraph order rather than enumerated steps, and it is clearly above anchor 3's missing-checkpoint level.

Progressive Disclosure

The skill is under 50 lines, single-purpose, and needs no external bundle files (none exist); it is well-organized with clearly signaled one-level-deep references ([bug-fix workflow in AGENTS.md](../../AGENTS.md#bug-fixes) and `.github/pull_request_template.md`). Per the simple-skill guideline, this qualifies for 5 with just well-organized sections.

Specificity

The description names the domain ('adding new AI function examples') with one concrete action plus a purpose clause ('for testing specific features against the actual provider APIs'), which matches the 1-2 concrete actions anchor. It does not list several specific actions (not 4), but its concrete domain terms lift it above the generic level (not 2).

Completeness

It has a clear 'what' ('Guide for adding new AI function examples...') but no 'Use when...' clause or equivalent explicit trigger guidance; the 'for testing specific features' phrase only weakly implies when. Per the rubric guideline, a missing 'Use when' clause caps completeness at 3.

Trigger Term Quality

It includes some relevant keywords ('function examples', 'testing', 'provider APIs') but misses common natural variations users would say, such as 'sample', 'e2e test', 'live API test', or file-path mentions. Coverage is present but incomplete, matching the 'some relevant keywords' anchor rather than good coverage (4) or generic-only (2).

Distinctiveness Conflict Risk

The niche is specific — adding AI function examples for testing against actual provider APIs — so overlap risk is limited to closely related testing/example skills. It is mostly distinct with minor overlap risk (anchor 4), not fully minimal-risk (5) because it lacks distinct trigger phrases that would separate it from general testing skills.