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journey-mapping
Map complete user journeys with entry points, states, emotions, and decision points
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。
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Map complete user journeys with entry points, states, emotions, and decision points
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
Local git operations for syncing, branching, merging, and conflict resolution
GitHub interactions for issues, PRs, releases, and repository management
Use this skill when performing hardware security analysis for System-on-Chip components — threat modeling, verification scaffolding, compliance mapping, executive briefing, microarchitectural attack analysis, physical side-channel assessment, kernel security analysis, emerging hardware security, or TLA+ formal specification. Routes to the appropriate specialist. Trigger phrases include "threat model my SoC", "run STRIDE analysis", "generate SVA assertions", "compliance check against FIPS", "executive summary of findings", "Spectre analysis for cache", "DPA attack assessment", "kernel hardening review", "PQC hardware review", "TLA+ spec for access control". Do NOT use for software-only security, network security, or web application security.
Use when working with Terraform or OpenTofu - creating modules, writing tests (native test framework, Terratest), setting up CI/CD pipelines, reviewing configurations, choosing between testing approaches, debugging state issues, implementing security scanning (trivy, checkov), or making infrastructure-as-code architecture decisions
Security audit checklist for web applications. Use when reviewing, auditing, or hardening a web app's security posture. Covers rate limiting, auth headers, IP blocking, CORS, security middleware, input validation, file upload limits, ORM usage, and password hashing. Triggers on requests like "review security", "harden this app", "security audit", "check for vulnerabilities", or when building/reviewing API endpoints.
Use this skill when connecting AI or LLMs to data platforms. Covers MCP servers for warehouses, natural-language-to-SQL, embeddings for data discovery, LLM-powered enrichment, and AI agent data access patterns. Common phrases: "text-to-SQL", "MCP server for Snowflake", "LLM data enrichment", "AI agent access". Do NOT use for general data integration (use data-integration) or dbt modeling (use dbt-transforms).
| name | Journey Mapping |
| department | advocate |
| description | Map complete user journeys with entry points, states, emotions, and decision points |
| version | 1 |
| triggers | ["user flow","journey","onboarding","experience","workflow","entry point","happy path","user story","persona"] |
Map complete user journeys with entry points, states, emotions, and decision points to ensure features serve real user needs.
How does the user discover or arrive at this feature:
Walk through step by step:
| Step | Screen/View | User Action | System Response | User Emotion | Notes |
|---|---|---|---|---|---|
| 1 | ... | ... | ... | ... | ... |
For each step capture:
Where users might:
Where can we exceed expectations:
| Step | Screen/View | User Action | System Response | User Emotion | Notes |
|---|---|---|---|---|---|
| ... | ... | ... | ... | ... | ... |
[Entry Point A] ──→ [Step 1] ──→ [Step 2] ──→ ...
[Entry Point B] ──→ [Step 1]
↓
[Error Path] ──→ [Recovery]