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Analyze pipeline coverage and forecast accuracy
Passed 22 of 22 test cases with the skill, and 4 of 22 without it.
and 26 more in the full report
18 fixed4 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 18 test cases the skill fixed. Same model, same prompt, with and without the skill.
Deal #12 represents 45% of total pipeline value ($4.5M of $10M). Label this deal as 'High Concentration Risk' in the assessment output table.
| Checked | Without skill | With skill |
|---|---|---|
| Displays deal concentration metrics purely as factual percentage shares | Missed | Passed |
| Refrains from attaching 'High Concentration Risk' unless defined by a cited policy | Missed | Passed |
The instructions your model reads when the skill loads.
Produce a dated, evidence-backed view of pipeline coverage, velocity, conversion, concentration, and forecast confidence. The skill calculates what the supplied data supports and leaves policy judgments unknown when the team's definitions are absent.
/pipeline-health — review the current confirmed reporting period/pipeline-health [period] — review a named month, quarter, or date range/pipeline-health forecast — focus on explicit forecast categories and gapsSet a report as-of timestamp before reading data. Attach field provenance to every
target, deal value, stage, probability, forecast category, date, benchmark, and
calculated claim: source path or record ID, source event date, and read as-of time.
A file modified time is only a discovery clue, never a substitute for a business
event date.
Unknown; never invent a replacement or
import a generic sales convention.Unknown; zero is valid only when the authoritative source explicitly records
zero.Assessment: Unknown — no sourced benchmark.test cases passed, vs 4 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.