Conciseness

Mostly efficient table-driven instruction, but there is real padding: rationale prose ('The exact language buyers use matters more than what marketers think they search', the 'Core principle' paragraph) and two near-duplicate trigger lists — 'When to Use' and 'Trigger Phrases' repeat largely the same phrases. Fits anchor 3 ('could be tightened') rather than 4, since the duplication and explanatory asides go beyond minor.

Actionability

Guidance is copy-paste ready throughout: exact search query templates ('site:<competitor_domain> [product category keywords]'), exact HN Algolia endpoints, the full Apify request/poll/dataset flow with output field names, character limits (15 headlines max 30 chars, 4 descriptions max 90 chars), a headline slot framework, and concrete output filenames. Minor gaps (CSV header without a sample row, no poll cadence) keep it from being penalized — this matches anchor 5's 'specific examples cover the common cases'.

Workflow Clarity

Phases 0–7 are clearly sequenced (intake → research → architecture → structure → copy → negatives → bids → output) and a launch checklist provides an end-of-process checkpoint. However, validation is end-loaded: no mid-workflow checkpoints or feedback loops (e.g., verifying scraped data quality, handling a failed Apify run, validating the CSV before writing it). Anchor 4 ('most checkpoints present, minor validation gaps'), not 5.

Progressive Disclosure

The body has good header-based navigation (## Phase, ### subsections), but it is a ~460-line monolith with no bundle files at all — content that would fit naturally in references (the ~70-line strategy-doc output template, the ad copy frameworks, research-phase detail) is fully inlined. Anchor 3 ('content that should be separate is inline'), not 4 (no content is split out), not 2 (structure and navigation are present and clear).

Specificity

The description lists many concrete actions — 'Performs deep keyword research (competitor SEO, review language mining, Reddit/HN community terminology, site audit), builds keyword architecture with funnel mapping and intent classification, creates ad group structure, generates headline/description variants, builds negative keyword lists, recommends bid strategy, and exports a campaign-ready CSV' — comprehensive coverage in third-person voice, matching the anchor 5 example's breadth.

Completeness

The 'what' is explicit and detailed, but there is no 'Use when...' clause or any equivalent explicit trigger guidance in the description. Per the judging guidelines, a missing 'Use when' clause caps completeness at 3 — it is not 2 because the 'what' is clearly and comprehensively stated.

Trigger Term Quality

Good natural keyword coverage ('Google Search Ads', 'campaign builder', 'keyword research', 'Google Ads Editor'), but common user phrasings like 'PPC', 'paid search', and 'ad copy' are absent. Fits anchor 4 ('good coverage, a few natural terms missing') rather than 5, which requires synonyms and variations.

Distinctiveness Conflict Risk

The Google Search Ads / Ads Editor niche is distinct, but prominent phrases like 'keyword research' create minor overlap risk with general SEO or content-marketing skills that could trigger on pure keyword-research requests. Mostly distinct with minor overlap — anchor 4, not 5.