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Build evidence-based launch strategy from positioning, readiness, channel, risk, and success-metric inputs.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.
Local-first dual-pillar agentic memory inspired by TencentDB-Agent-Memory.
Assess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build.
Full autonomous execution from idea to working code
Track high-priority leadership requests.
Conducts deep-dive research to create a strategic dossier on a target company.
| name | launch-strategy |
| description | Build evidence-based launch strategy from positioning, readiness, channel, risk, and success-metric inputs. |
Use the active runtime and inherited model. External research is read-only and only runs when the runtime reports the capability and the user authorizes the source scope.
Do not request provider API keys, silently browse, or instantiate a separate model stack.
