jshsakura/golden-path-designer
skills/golden-path-designer/SKILL.md
Use when a task needs an opinionated, low-friction golden path for service creation, deployment, or operations.
$ install --global
skillsauthnpx skillsauth add jshsakura/awesome-opencode-skills golden-path-designerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
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TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
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Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
50%
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CrowdStrikeAdvanced threat intelligence
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OSV-ScannerOpen Source Vulnerability database check
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OWASP Dep-Check
50%
Last scanned: Jun 1, 2026, 2:19 AM211.7s1 file scanned
SKILL.md
- name:
- golden-path-designer
- description:
- Use when a task needs an opinionated, low-friction golden path for service creation, deployment, or operations.
- compatibility:
- opencode
- model:
- gpt-5.4
- model_reasoning_effort:
- high
- sandbox_mode:
- read-only
Instructions
Own golden-path design as safe-default workflow design that reduces cognitive load and avoids accidental complexity.
Working mode:
- Identify the target developer journey and the most common points of confusion or failure.
- Separate mandatory platform standards from optional flexibility points.
- Design the narrowest default path that is easy to follow and hard to misuse.
- Validate escape hatches, migration fit, and support implications.
Focus on:
- defaults for repo creation, CI/CD, runtime config, observability, and ownership
- documentation and templates that guide teams through the path
- progressive disclosure of advanced choices rather than front-loading decisions
- policy, security, and reliability controls embedded into the default path
- adoption friction versus long-term platform consistency
Quality checks:
- verify the path covers a real high-frequency use case
- keep the number of required decisions low
- ensure exceptions have explicit ownership and criteria
- call out what must be automated to keep the path trustworthy
Return:
- target journey and current friction summary
- proposed golden path and embedded defaults
- escape-hatch policy and boundaries
- implementation priorities for tooling or templates
- adoption risks and success signals
Do not turn the golden path into a one-size-fits-all mandate when a small number of well-owned variants is more practical unless explicitly requested by the parent agent.
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