Conciseness

The ~35-line body is lean with no padding and no explanation of concepts Claude already knows; even the opening comparison ('Profound continuously polls and publishes time-series so trend deltas... are first-class') conveys non-obvious routing logic. Every section (Prerequisites, Routing, Output conventions, Cross-skill delegation) earns its tokens, matching the 'lean and efficient; every token earns its place' anchor.

Actionability

Concrete, executable guidance: exact install commands ('Run extensions/profound/install.sh or install.ps1'), a routing table with parameterized commands ('/seo profound citations <brand>'), an exact pre-call check ('check ~/.claude/settings.json has env.PROFOUND_API_KEY'), and an exact citation format ('Profound (live, confidence 0.90)'). Minor gaps: no sample output or example invocation per command, fitting 'mostly executable guidance with minor gaps' rather than fully copy-paste-ready coverage of common cases.

Workflow Clarity

A clear implied sequence (verify install/key/env, route via the command table, apply output conventions, delegate) with an explicit pre-call validation checkpoint on the API key. It falls short of the top anchor because there is no error-recovery guidance (e.g., what to do when the key is missing or an API call fails) — 'most checkpoints present; minor validation gaps.' No destructive or batch operations, so the cap-3 rule does not apply.

Progressive Disclosure

No bundle files exist (no references/, scripts/, or assets/ directories), and the body is under 50 lines with no content that warrants external files; per the rubric's simple-skill guidance, well-organized sections alone earn the top score. Sections are clearly labeled, references (install.sh, sibling skills) are one level deep and clearly signaled.

Specificity

The description names the domain ('Profound LLM citation tracker') and one-to-two concrete actions — 'Time-series brand citation rates across ChatGPT, Perplexity, and other LLMs' — with named platforms. It is not comprehensive: capabilities the body documents (prompts, competitors, alerts) are absent, matching the 'names domain and 1-2 concrete actions, but not comprehensive' anchor rather than the 'several specific actions' anchor above.

Completeness

The 'what' is clear (time-series brand citation rates across LLMs, pairing with seo-seranking), but there is no 'Use when...' clause or equivalent explicit trigger guidance — the judging guideline caps this dimension at 3 for a missing 'when'.

Trigger Term Quality

Natural keywords users would say are present: 'citation', 'brand citation rates', 'ChatGPT', 'Perplexity', 'time-series', 'AI visibility'. A few common variations are missing ('brand mentions', 'AI Overviews', 'share of voice', 'Gemini'), fitting the 'good keyword coverage; a few natural terms missing' anchor — above the generic keyword level, below comprehensive synonym coverage.

Distinctiveness Conflict Risk

The named tool (Profound), named platforms, and the explicit 'Pairs with seo-seranking for triangulated AI visibility coverage' carve out a distinct niche, giving it minor overlap risk with closely related AI-visibility skills rather than the minimal-conflict clarity of the top anchor, which would include explicit trigger phrasing.