Launch Sequence

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

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Phase 1: Context Capture

Ask (or infer from context) the minimum needed to run the gauntlet:

1. What — the product, feature, or launch being evaluated
2. Who — the target user and how they discover/install it
3. When — launch timeline (hard date? soft launch? beta?)
4. 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]

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: carlkibler
• Source: carlkibler/agent-skills
• License: MIT

Install and usage instructions live in the source repository linked above.