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Deep-dive 7-day analysis across all data sources for weekly reviews, board prep, and strategic planning
Passed 11 of 17 test cases with the skill, and 8 of 17 without it.
and 3 more in the full report
5 fixed9 passed either way7 still failing1 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.
What exact date-stamped file path names must be generated when saving the three weekly reports for date 2026-03-30?
| Checked | Without skill | With skill |
|---|---|---|
| Names the executive summary output file executive-summary-2026-03-30.md. | Missed | Passed |
| Names the product report output file product-report-2026-03-30.md. | Missed | Passed |
The instructions your model reads when the skill loads.
Check agent_mode in 00-inbox/MY-PROFILE.md frontmatter:
agent_mode: team — use the full parallel agent execution strategy below (5 agents). This skill benefits greatly from team mode.agent_mode: solo — run a lighter version: collect GitHub + Linear data sequentially, skip PostHog deep analysis, produce a single combined report instead of 3 documents.Generate a deep-dive analysis across all data sources for weekly reviews, board prep, strategic planning, or any time you need the full picture. Unlike the team brief (which optimizes for speed and daily relevance), this skill intentionally pulls more data and spends more time synthesizing.
Use this when:
Don't use this daily — it takes 8-12 minutes and pulls heavy payloads. Use /daily-brief for everyday intel.
/comprehensive-analysisSame as the daily brief — direct, opinionated, teammate energy. But with more depth and nuance. You're writing for a product leader who needs to make decisions, not just stay informed.
Launch ALL agents in parallel using the Task tool with run_in_background: true.
test cases passed, vs 8 / 17 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.