一键导入
skillweave-launch
Launch coordination for the Launch lifecycle phase — deployment, user communication, go-live coordination, and metrics baseline capture.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Launch coordination for the Launch lifecycle phase — deployment, user communication, go-live coordination, and metrics baseline capture.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | skillweave-launch |
| description | Launch coordination for the Launch lifecycle phase — deployment, user communication, go-live coordination, and metrics baseline capture. |
| argument-hint | release_summary="[JSON]" mode="[guided/assisted]" |
Launch coordination — take a published release live.
This skill handles the Launch phase of the SkillWeave lifecycle (phase order: 6). It runs after Release is complete and the artifact is published.
| Activity | Description |
|---|---|
| Production deployment | Coordinate deployment to production environment(s) |
| User communication | Prepare and distribute release notes, changelogs, announcements |
| Go-live coordination | Manage rollout timing, verify deployment health |
| Metrics baseline | Capture pre/post launch metrics for comparison |
Release and Launch are separate phases:
| Dimension | Release | Launch |
|---|---|---|
| Focus | Artifact creation, versioning, publishing | Production deployment, communication |
| Output | Published package + git tag | Live system + user notifications |
| Precedes | Launch | Post-release |
| Rollback | Re-publish previous version | Re-deploy previous version |
/skillweave-launch release_summary='{"version":"0.6.0","artifact_locations":["dist/"],"changelog":"..."}'
release_summary (required): JSON from releasechain containing version, artifact locations, changelogmode (optional): guided (step-by-step) or assisted (automatic with human confirmation at gates)environments (optional): List of target environments (default: ["production"])Create structured PRD (Product Requirements Document) through guided interview. Adapts Ralph Loop concepts for multi-agent AI development. Creates blueprint for promptchain and releasechain workflows.
Multi-Model LLM Council — Deliberation, Peer Review, and Chairman Synthesis with Web Search and Faigate Routing
Design-Thinking-Lens: Briefanalyse, UX-Prinzipien, Token-Extraktion, Evaluation
Problemdefinition, User Research, Empathy Mapping, Opportunity Validation
Pre-Launch-Check, Deployment, Announce, Verify, Metrics
Bundle-Navigator, Phasen-Status, Entry-Point-Detection, Bundle-Empfehlung, Planning-Board, Testing