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Analyzes pipeline coverage, tracks forecast accuracy with MAPE, and calculates GTM efficiency metrics for SaaS revenue optimization
Passed 18 of 22 test cases with the skill, and 13 of 22 without it.
and 3 more in the full report
5 fixed13 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
We have a pipeline json export saved at 'data/q3_pipeline.json' and want to run a CLI script to generate a human-readable text summary of pipeline coverage and deal aging. What exact command-line syntax should we run?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies using python with scripts/pipeline_analyzer.py. | Missed | Passed |
| Includes the --input flag followed by data/q3_pipeline.json. | Passed | Passed |
| Includes --format text in the command. | Missed | Passed |
The instructions your model reads when the skill loads.
Pipeline analysis, forecast accuracy tracking, and GTM efficiency measurement for SaaS revenue teams.
Before running the analysis, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the output.
# Analyze pipeline health and coverage
python scripts/pipeline_analyzer.py --input assets/sample_pipeline_data.json --format text
# Track forecast accuracy over multiple periods
python scripts/forecast_accuracy_tracker.py assets/sample_forecast_data.json --format text
test cases passed, vs 13 / 22 without
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