Conciseness

Every sentence carries task-specific information the model could not know (radar field semantics, cost model, trend-reading caveats); nothing explains concepts Claude already knows, and the two-sentence name-vs-generic rationale at the top directly drives later steps rather than padding.

Actionability

The skill gives a copy-paste-ready command with realistic arguments ("python -m radar keywords \"photocraft\" \"synthid detector\" --repo ... --json"), concrete setup steps (env vars, clone URL, config copy), a field-by-field result-reading guide, and an exact output table spec with column headers.

Workflow Clarity

Setup, pick names, state cost and run, read results, deliver the table — an explicit sequence with real validation checkpoints: stop without an AISA key, state the cost estimate before spending, inspect posts_error/related_errors/country_errors, and handle empty results by offering a re-read in three days.

Progressive Disclosure

A single self-contained file (~55 lines) with well-organized sections and no bundle files; no content is inlined that belongs in a separate file, and the only external pointer (the GitHub repo to clone) is an operational dependency, not a buried reference.

Specificity

It lists multiple concrete actions in third person — "finds the generic search terms downstream of it", "screens them for relevance", "checks novelty, demand size and momentum against Google Ads volume and Google Trends", "ending in prioritize, watch or skip" — comprehensively covering what the skill does. Not 4: coverage is complete with no material gaps.

Completeness

The "what" is explicit (turn names/signals into a keyword priority table with named steps and outcomes) and the "when" is an explicit "Use when..." clause with concrete trigger inputs and intents. Not 4: the when-clause is specific about both input types and user goal.

Trigger Term Quality

Good natural-phrasing coverage ("new model, product or repository names", "AI listening report, a batch of posts, a changelog", "which keywords to build pages or tools for"), but common user phrasings like "SEO", "keyword research", and "search volume" are absent. Not 5: comprehensive synonym coverage would include those; not 3: the terms present are the ones a user with this need would actually say.

Distinctiveness Conflict Risk

A clear niche — new-AI-term keyword research via the named new-term-radar tool with specific API keys — with distinct triggers unlikely to fire for any other skill. Not 4: no meaningful overlap with adjacent skills.