Conciseness

The body is efficient: no explanation of concepts Claude already knows, a compact format template, and a lean 35-line working script. Not 5 because of minor redundancy — link spot-checking appears in both Step 2 ('Links point to real pages (spot-check 3-5)') and Step 4 ('Check that 3-5 random links ... would resolve'), and the validation bullets in Step 2 overlap Step 4's Verify. Not 3 because the padding is minor and trimmable, not 'some unnecessary explanation'.

Actionability

Fully executable guidance: an exact llms.txt format template, per-framework placement paths (public/, static/), a copy-paste-ready generate-llms-full.js script with only two clearly marked 'update this' placeholders, a package.json script snippet, and concrete numeric curation limits ('20-40 links', '3-6 logical H2 sections', '10-20 most important pages'). Matches the anchor-5 'copy-paste ready code covering common cases'.

Workflow Clarity

Clear 5-step sequence (understand → create → create full → verify → report) with concrete validation checkpoints ('H1 present ✓', 'All URLs are absolute ✓', file-size and page-count checks in Step 4). Not 5 because there is no explicit feedback loop — the verify steps list checks but never say what to do when one fails (no 'if invalid, fix and re-check'), which the anchor-5 example requires. Not 3 because checkpoints are explicit and specific, not merely implicit.

Progressive Disclosure

Good structure: an overview body with the full spec clearly signaled as a one-level-deep reference up top ('Read references/llms-txt-spec.md for the full specification') and inline where format details appear. Not 5 because the referenced file references/llms-txt-spec.md does not exist in the bundle (no references/ directory), so the primary navigation pointer to the full spec is a dead end and only the inline summary is actually available. Not 3 because what is present is well-signaled and appropriately split.

Specificity

Lists multiple concrete actions — 'Create or fix llms.txt and llms-full.txt files', 'generate a full documentation text dump (llms-full.txt)', 'fix a malformed llms.txt' — tied to the llmstxt.org spec, with comprehensive coverage of the skill's scope. Not the level below (4) because there are no gaps: create, generate, and fix all covered for both file types.

Completeness

Explicitly answers both: what ('Create or fix llms.txt and llms-full.txt files ... following the llmstxt.org specification') and when ('Use this skill whenever someone needs to create an llms.txt file ... or fix a malformed llms.txt. Also use when optimizing a docs site for AI crawlers ... or when the user mentions making their docs readable by LLMs, ChatGPT, Perplexity'). This mirrors the anchor-5 example structure exactly; level 4 would mean the 'when' clause is less explicit or specific, which it is not.

Trigger Term Quality

Comprehensive natural terms including synonyms and concrete product names users would say: 'llms.txt', 'llms-full.txt', 'malformed llms.txt', 'AI crawlers', 'AI discoverability files', 'readable by LLMs, ChatGPT, Perplexity'. Matches the anchor-5 example's breadth (filename variants plus tool synonyms); level 4 would require a few missing natural terms, and none are missing.

Distinctiveness Conflict Risk

Clear niche with distinct triggers — llms.txt/llms-full.txt files and AI-crawler doc discoverability — minimal overlap risk with general docs or SEO skills. Written in third person ('Create or fix'), so no voice penalty applies.