Conciseness

Most content is dense domain judgment Claude does not already know ("Last 4Q is weighted 70%, last 12Q is weighted 30%", CoV bands, 3x pipeline-coverage floor), but the "theatre"/assumption-block rule is repeated in Purpose, Step 2, Step 5, Assumptions, and question 7, and the "Do not use for" list fully duplicates "Distinct from" (the same five sibling skills restated). This is tighter than the padded-anchor 2 (no basic-concept explanations) but has more than the minor trimmable instances of the 4 anchor.

Actionability

Guidance is concrete — exact CLI invocations ("scripts/bookings_forecaster.py --input intake.json --profile saas --output markdown") and precise numeric decision rules ("HIGH < 10%, MEDIUM 10-25%", "stage-age > 2x the median stage-duration") — but none of the referenced scripts, references, or the intake template exist in the bundle, and the intake.json schema is never specified. The pipeline cannot actually be executed as bundled, which is a missing-key-details gap rather than the minor gaps of the 4 anchor.

Workflow Clarity

Five steps are clearly sequenced with named per-step outputs and decision rules (leaky-cohort flags, automatic downweighting of stalled opps, pipeline-coverage ratio surfaced by the tool). It misses the 5 anchor because there is no intake-data validation or error-recovery loop, and the forcing-question library introduces a second, partially redundant entry path ("After all 7 are answered, invoke bookings_forecaster.py..."); the destructive/batch cap at 3 does not apply since this is read-only analysis.

Progressive Disclosure

Structure and signaling are good — "## Scripts" and "## References" sections list each file with a one-line description, one level deep — but none of the referenced files (three scripts, three references, one intake template) exist in the bundle, and the ~30-line forcing-question library is inlined content that belongs in a reference file. This sits between the 2 anchor (buried references/inlined separable content) and the 4 anchor (references mostly present and real).

Specificity

The description lists multiple specific concrete actions with comprehensive coverage: "Decomposes pipeline into commit, best-case, and pipe-only tiers", "projects cohort-level NRR/GRR to surface leaky cohorts", "scores per-stage funnel confidence", and "Every output explicitly names the conversion rate used, the data window, and the weighting choice". These cover all three of the skill's outputs plus its disclosure discipline, matching the anchor for comprehensive concrete actions rather than the minor-gaps anchor below.

Completeness

Both what and when are explicitly and concretely answered: "Use when building a quarterly bookings forecast, ARR projection, pipeline forecast, NRR projection, or commit/best-case/pipe-only board number" is an explicit trigger clause, and the three decomposition/projection/scoring sentences state what the skill does. This matches the 5 anchor (both what AND when with concrete trigger phrases), not the 4 anchor where the when clause is merely present-but-improvable.

Trigger Term Quality

Natural trigger terms are well covered: "quarterly bookings forecast", "ARR projection", "pipeline forecast", "NRR projection", "commit/best-case/pipe-only", "board prep", plus role names ("CRO", "RevOps", "VP Sales"). It falls short of the 5 anchor because common natural synonyms like "sales forecast" or "revenue forecast" are absent and editorial padding ("without the theatre of a single undefended number") dilutes trigger density, but it is clearly above the 3 anchor's "some relevant keywords with missing variations".

Distinctiveness Conflict Risk

The description carves a clear forward-looking forecast niche and adds explicit negative boundaries naming the adjacent skills: "NOT financial close (see finance/financial-analysis). NOT strategic CRO hiring/territory (see c-level-advisor/cro-advisor). NOT pricing (see sibling pricing-strategist)". Distinct triggers plus explicit disambiguation yield minimal conflict risk, matching the 5 anchor.