| name | launch-sequence |
| description | Run the full pre-launch gauntlet (first-contact → support-storm → trust-audit → pre-mortem) and get a single GO/CAUTION/NO-GO verdict. |
| display_name | Launch Sequence |
| brand_color | #0D9488 |
| local_only | false |
| group | Product & Launch |
| usage | /launch-sequence:run |
| summary | Run the whole pre-launch gauntlet in one pass and get a single go / caution / no-go call. |
| default_prompt | Run the full pre-launch sequence on this product or feature. Surface every risk across first-run experience, support load, trust surface, and catastrophic failure modes. |
Launch Sequence
The pre-launch gauntlet. Chains four analysis skills into a single synthesized verdict so you can't accidentally skip one.
When to Use
- Before any public launch, beta, or major feature release
- When you want one command instead of four
- When you need a board-ready risk summary
When NOT to Use
- Bug fixes or small incremental changes
- Pure internal tools with no new user-facing behavior
- When you've already run all four constituent skills recently
Phase 1: Context Capture
Ask (or infer from context) the minimum needed to run the gauntlet:
- What — the product, feature, or launch being evaluated
- Who — the target user and how they discover/install it
- When — launch timeline (hard date? soft launch? beta?)
- Success — what does a good first week look like?
If all four are clear from context, proceed immediately without asking.
Phase 2: Parallel Analysis
Launch all four constituent analysis passes in parallel as subagents. Each subagent gets the same context brief plus its specific mandate.
Context Brief (inject into each subagent)
PRODUCT: [product name and one-line description]
AUDIENCE: [who this is for]
LAUNCH: [when and how]
SUCCESS: [what good looks like]
Subagent Mandates
Subagent 1 — First-Run Red-Team (mandate of first-contact skill)
Simulate the experience of a brand-new user encountering this product for the first time. Find every place they get confused, think it's broken, fail to understand the value, or abandon setup. Look for: unclear onboarding, missing zero-state guidance, confusing first action, misleading UI text, setup friction that filters out valid users.
Subagent 2 — Support Load Forecast (mandate of support-storm skill)
Simulate the first 2 weeks of support emails, 1-star reviews, Reddit posts, and bug reports this launch will generate. Generate 10-15 realistic examples. Identify which signal a product bug vs. user confusion vs. unmet expectation. Find the 3 changes that would eliminate the most tickets.
Subagent 3 — Trust Surface Audit (mandate of trust-audit skill)
Audit this product for everything that could make a user feel unsafe, surveilled, surprised, or deceived. Cover: permissions requested vs. permissions needed, data retention and deletion, billing surprises, silent mutations to user files or state, anything that "feels creepy" even if technically legal.
Subagent 4 — Pre-Mortem (mandate of pre-mortem skill)
Assume it is 6 months after launch and the product failed. Write the postmortem. What were the actual causes? Find the top 5-7 failure modes most specific to THIS product and audience. For each: estimated probability, user impact, recovery path. Rank by (probability × impact).
Phase 3: Synthesis and Verdict
After all four subagents complete, synthesize their findings:
Blocking Issues (must fix before launch)
Issues that appear in 2+ analyses or represent catastrophic user harm.
Non-Blocking Issues (fix post-launch)
Single-analysis findings that are real but survivable.
Verdict
Choose one:
🟢 GO — No blocking issues. Non-blocking issues are documented. Launch when ready.
🟡 CAUTION — 1-2 blocking issues with clear, fast fixes. Launch after addressing.
🔴 NO-GO — 3+ blocking issues or one catastrophic finding. Fix before launching.
Output Format
## Launch Sequence Report
**Verdict: [🟢 GO / 🟡 CAUTION / 🔴 NO-GO]**
### Blocking Issues
- [Issue from which analysis] [description] [suggested fix]
### Non-Blocking Issues
- [Issue] [suggested fix]
### Key Themes
[2-3 sentences on the most common cross-analysis patterns]
### What to Do Next
[Numbered list of immediate actions, ordered by priority]
