bundled-skills/wiki-onboarding/SKILL.md
Generate two complementary onboarding documents that together give any engineer — from newcomer to principal — a complete understanding of a codebase. Use when user asks for onboarding docs or getting-started guides, user runs /deep-wiki, or user wants to help new team members understand a codebase.
npx skillsauth add FrancoStino/opencode-skills-antigravity wiki-onboardingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Generate two complementary onboarding documents that together give any engineer — from newcomer to principal — a complete understanding of a codebase.
/deep-wiki:onboard commandScan the repository for build files to determine the primary language for code examples:
package.json / tsconfig.json → TypeScript/JavaScript*.csproj / *.sln → C# / .NETCargo.toml → Rustpyproject.toml / setup.py / requirements.txt → Pythongo.mod → Gopom.xml / build.gradle → JavaAudience: Senior/staff+ engineers who need the "why" behind decisions.
(file_path:line_number) citationAudience: New contributors who need step-by-step practical guidance.
(file_path:line_number)This skill is applicable to execute the workflow or actions described in the overview.
tools
Authorized security assessment of LLM applications and AI agents: prompt injection, tool abuse, RAG exposure, memory poisoning, system-prompt extraction, and agent-compliance engineering per OWASP LLM/ASI Top 10.
development
Builds two parameterized UI modes—流光溢彩白 (iridescent white) and 五彩斑斓黑 (colorful black)—with OKLCH, WebGL/CSS fallback, vision gating, screenshot QA, and total/per-color intensity reports. Use when a UI request names either mode or needs measured color parameters.
tools
Delegate coding tasks to the Kimi Code CLI (`kimi`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
development
Front-end JavaScript reverse engineering: locate signature chains, analyze encrypted request parameters, sample runtime behavior, and reproduce logic locally in Node for evidence-based output.