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create-onboarding
Generate codebase-aware onboarding documentation by analyzing the project's tech stack, structure, and workflows
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Generate codebase-aware onboarding documentation by analyzing the project's tech stack, structure, and workflows
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
PR-focused code review with structured checklist, severity ratings, and actionable feedback
Use when a code review finding needs proof — write a focused test in JavaScript or Go that either confirms the issue is real or exposes it as over-engineering hyperbole. Trigger after code-review or code-review-skill findings are presented and evidence is requested.
Use when reviewing Dependabot alerts, npm audit findings, govulncheck output, or CVE reports on a JavaScript/Node.js or Go project — especially when triaging multiple alerts across direct and transitive dependencies to assess real-world risk and produce a remediation plan.
Produce data-driven software delivery estimates by analyzing historical JIRA tickets, git activity, and engineer track records, then matching the new work against the most similar past tickets. Use this skill whenever the user asks "how long will this take", wants to estimate a piece of work, scope an epic, plan a sprint, or estimate delivery for JIRA stories or a Figma design. Also use whenever the user wants developer-to-work assignment recommendations based on history, wants to optimize an estimate by adding or reallocating engineers, or asks "what's the fastest way to ship this" or "who should work on this". Especially trigger when the user provides JIRA ticket IDs, JIRA story links, or Figma designs together with any indication of a team that will execute the work.
Use when auditing an existing test suite for quality and coverage gaps, evaluating Playwright migration readiness, scoring automation against a world-class e-commerce standard, or guiding the creation of new tests. Applicable to Selenium, WebdriverIO, and Playwright suites.
AI-powered observability with Grafana MCP — translates natural language to metrics, logs, and trace queries to diagnose issues like a senior SRE
| name | create-onboarding |
| description | Generate codebase-aware onboarding documentation by analyzing the project's tech stack, structure, and workflows |
Generate a codebase-aware onboarding guide for new developers by analyzing the actual project, not from generic templates.
Before writing anything, read the codebase to extract real information:
README.md, CLAUDE.md, CONTRIBUTING.md, and any existing docs.package.json, requirements.txt, Cargo.toml, go.mod, Gemfile, pom.xml, etc.).Dockerfile, docker-compose.yml) or other environment setup..env.example or similar files for required environment variables.Based on what you found in step 1, write concrete setup instructions:
Produce a single ONBOARDING.md file in the repository root containing all sections above. Use concrete commands, real file paths, and actual project details — not placeholders or generic advice.