wiki-qa — for Claude Code wiki-qa, psique, community, for Claude Code, ide skills, Answer, repository, questions, grounded, entirely

v1.0.0
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Об этом навыке

Идеально подходит для агентов анализа кода, которым необходимы продвинутые возможности ответов на вопросы на основе доказательств исходного кода. Локализованное описание: Answers questions about a code repository using source file analysis. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Возможности

Answer repository questions grounded entirely in source code evidence.
User asks a question about the codebase
User wants to understand a specific file, function, or component
User asks "how does X work" or "where is Y defined"
Detect the language of the question; respond in the same language

# Core Topics

for Claude Code Answer repository questions grounded entirely
netbarros netbarros
[1]
[0]
Updated: 3/6/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
8/11
Quality Score
38
Canonical Locale
en
Detected Body Locale
en

Идеально подходит для агентов анализа кода, которым необходимы продвинутые возможности ответов на вопросы на основе доказательств исходного кода. Локализованное описание: Answers questions about a code repository using source file analysis. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Зачем использовать этот навык

Наделяет агентов возможностью предоставлять точные и основанные на доказательствах ответы на вопросы о кодовой базе, поддерживая несколько языков программирования и обнаруживая язык вопроса, чтобы отвечать соответствующим образом, с возможностями, включая поиск в кодовой базе соответствующих

Подходит лучше всего

Идеально подходит для агентов анализа кода, которым необходимы продвинутые возможности ответов на вопросы на основе доказательств исходного кода.

↓ Реализуемые кейсы использования for wiki-qa

Отвечать на вопросы о кодовой базе, используя доказательства исходного кода
Понимать конкретные файлы, функции или компоненты внутри кодовой базы
Отлаживать код, определяя, где определены конкретные компоненты или как они работают

! Безопасность и ограничения

  • Требует доступа к кодовой базе
  • Ограничен вопросами, которые можно ответить на основе доказательств исходного кода

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Install Path

Start With Installation And Validation

If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Trusted Recheck

Cross-Check Against Trusted Picks

If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Workflow

Move To Workflow Collections For Team Rollout

When the goal shifts from a single skill to team workflows, approvals, and repeatable execution, move into workflow collections.
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is wiki-qa?

Идеально подходит для агентов анализа кода, которым необходимы продвинутые возможности ответов на вопросы на основе доказательств исходного кода. Локализованное описание: Answers questions about a code repository using source file analysis. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

How do I install wiki-qa?

Run the command: npx killer-skills add netbarros/psique/wiki-qa. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for wiki-qa?

Key use cases include: Отвечать на вопросы о кодовой базе, используя доказательства исходного кода, Понимать конкретные файлы, функции или компоненты внутри кодовой базы, Отлаживать код, определяя, где определены конкретные компоненты или как они работают.

Which IDEs are compatible with wiki-qa?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for wiki-qa?

Требует доступа к кодовой базе. Ограничен вопросами, которые можно ответить на основе доказательств исходного кода.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add netbarros/psique/wiki-qa. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use wiki-qa immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

wiki-qa

Локализованное описание: Answers questions about a code repository using source file analysis. This AI agent skill supports Claude Code, Cursor, and Windsurf

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Wiki Q&A

Answer repository questions grounded entirely in source code evidence.

When to Activate

  • User asks a question about the codebase
  • User wants to understand a specific file, function, or component
  • User asks "how does X work" or "where is Y defined"

Procedure

  1. Detect the language of the question; respond in the same language
  2. Search the codebase for relevant files
  3. Read those files to gather evidence
  4. Synthesize an answer with inline citations

Response Format

  • Use ## headings, code blocks with language tags, tables, bullet lists
  • Cite sources inline: (src/path/file.ts:42)
  • Include a "Key Files" table mapping files to their roles
  • If information is insufficient, say so and suggest files to examine

Rules

  • ONLY use information from actual source files
  • NEVER invent, guess, or use external knowledge
  • Think step by step before answering

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

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