The body is mostly efficient and avoids over-explaining known concepts, but the four destinations are restated across the intro, 'What is covered', Constraints, and both workflow steps, and the 'When to use this skill' list duplicates the frontmatter triggers — so it could be tightened.

Steps are concrete-ish ('Create the destination directory if needed, then copy all embedded agent files'), but the actual file list and copy mechanism are deferred to the reference, leaving key details incomplete on the page itself.

The three steps are clearly sequenced with a confirm-before-copy checkpoint and an ambiguity feedback loop, but this is a batch operation involving overwrites with only an 'optional verification command' and no explicit post-install verification step, capping clarity at 2.

The body is a concise overview pointing to a single, well-signaled one-level-deep reference (references/005-agents-installation.md, which exists), with content appropriately split and easy navigation.

It lists multiple concrete actions — 'install the embedded robot agents', 'selecting the destination interactively', and 'copying the embedded agent definitions from project assets' — matching the multi-action anchor rather than a single vague domain mention.

It answers both what ('install ... copying the embedded agent definitions') and when with an explicit 'Use when you need to install...' clause plus a 'This should trigger for requests such as...' list, satisfying the both-what-and-when anchor.

Natural phrases a user would say are well covered — 'Install embedded agents', 'Copy robot agents', and 'Bootstrap .github/agents' / '.cursor/agents' / '.claude/agents' / '.codex/agents' — giving good coverage of common variations.

The niche is specific — installing embedded robot agents into four named agent directories — with distinct triggers unlikely to fire for unrelated skills, matching the clear-niche anchor.