research — community research, alkana_kpi, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0

About this Skill

Perfect for Technical AI Agents needing comprehensive content analysis and efficient research capabilities. [CK] Research technical solutions, analyze architectures, gather requirements thoroughly. Use for technology evaluation, best practices research, solution design, scalability/security/maintainability

hotriluan hotriluan
[0]
[0]
Updated: 3/12/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reviewed Landing Page Review Score: 9/11

Killer-Skills keeps this page indexable because it adds recommendation, limitations, and review signals beyond the upstream repository text.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review Locale and body language aligned
Review Score
9/11
Quality Score
60
Canonical Locale
en
Detected Body Locale
en

Perfect for Technical AI Agents needing comprehensive content analysis and efficient research capabilities. [CK] Research technical solutions, analyze architectures, gather requirements thoroughly. Use for technology evaluation, best practices research, solution design, scalability/security/maintainability

Core Value

Empowers agents to analyze architectures, gather requirements, and evaluate technical solutions using YAGNI, KISS, and DRY principles, providing efficient and effective research with systematic information analysis and scope definition.

Ideal Agent Persona

Perfect for Technical AI Agents needing comprehensive content analysis and efficient research capabilities.

Capabilities Granted for research

Analyzing software architectures for technical debt
Evaluating technical solutions for scalability and performance
Gathering requirements for complex system development

! Prerequisites & Limits

  • Requires clear definition of research scope
  • Dependent on quality of evaluation criteria for sources
  • Limited by boundaries set for research depth

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

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 research?

Perfect for Technical AI Agents needing comprehensive content analysis and efficient research capabilities. [CK] Research technical solutions, analyze architectures, gather requirements thoroughly. Use for technology evaluation, best practices research, solution design, scalability/security/maintainability

How do I install research?

Run the command: npx killer-skills add hotriluan/alkana_kpi/research. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for research?

Key use cases include: Analyzing software architectures for technical debt, Evaluating technical solutions for scalability and performance, Gathering requirements for complex system development.

Which IDEs are compatible with research?

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 research?

Requires clear definition of research scope. Dependent on quality of evaluation criteria for sources. Limited by boundaries set for research depth.

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 hotriluan/alkana_kpi/research. 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 research immediately in the current project.

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

research

Install research, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

Research

Research Methodology

Always honoring YAGNI, KISS, and DRY principles. Be honest, be brutal, straight to the point, and be concise.

Phase 1: Scope Definition

First, you will clearly define the research scope by:

  • Identifying key terms and concepts to investigate
  • Determining the recency requirements (how current must information be)
  • Establishing evaluation criteria for sources
  • Setting boundaries for the research depth

Phase 2: Systematic Information Gathering

You will employ a multi-source research strategy:

  1. Search Strategy:

    • Gemini Toggle: Check .claude/.ck.json (or ~/.claude/.ck.json) for skills.research.useGemini (default: true). If false, skip Gemini and use WebSearch.
    • Gemini Model: Read from .claude/.ck.json: gemini.model (default: gemini-3-flash-preview)
    • If useGemini is enabled and gemini bash command is available, execute gemini -y -m <gemini.model> "...your search prompt..." bash command (timeout: 10 minutes) and save the output using Report: path from ## Naming section (including all citations).
    • If useGemini is disabled or gemini bash command is not available, use WebSearch tool.
    • Run multiple gemini bash commands or WebSearch tools in parallel to search for relevant information.
    • Craft precise search queries with relevant keywords
    • Include terms like "best practices", "2024", "latest", "security", "performance"
    • Search for official documentation, GitHub repositories, and authoritative blogs
    • Prioritize results from recognized authorities (official docs, major tech companies, respected developers)
    • IMPORTANT: You are allowed to perform at most 5 researches (max 5 tool calls), user might request less than this amount, strictly respect it, think carefully based on the task before performing each related research topic.
  2. Deep Content Analysis:

    • When you found a potential Github repository URL, use docs-seeker skill to find read it.
    • Focus on official documentation, API references, and technical specifications
    • Analyze README files from popular GitHub repositories
    • Review changelog and release notes for version-specific information
  3. Video Content Research:

    • Prioritize content from official channels, recognized experts, and major conferences
    • Focus on practical demonstrations and real-world implementations
  4. Cross-Reference Validation:

    • Verify information across multiple independent sources
    • Check publication dates to ensure currency
    • Identify consensus vs. controversial approaches
    • Note any conflicting information or debates in the community

Phase 3: Analysis and Synthesis

You will analyze gathered information by:

  • Identifying common patterns and best practices
  • Evaluating pros and cons of different approaches
  • Assessing maturity and stability of technologies
  • Recognizing security implications and performance considerations
  • Determining compatibility and integration requirements

Phase 4: Report Generation

Notes:

  • Research reports are saved using Report: path from ## Naming section.
  • If ## Naming section is not available, ask main agent to provide the output path.

You will create a comprehensive markdown report with the following structure:

markdown
1# Research Report: [Topic] 2 3## Executive Summary 4[2-3 paragraph overview of key findings and recommendations] 5 6## Research Methodology 7- Sources consulted: [number] 8- Date range of materials: [earliest to most recent] 9- Key search terms used: [list] 10 11## Key Findings 12 13### 1. Technology Overview 14[Comprehensive description of the technology/topic] 15 16### 2. Current State & Trends 17[Latest developments, version information, adoption trends] 18 19### 3. Best Practices 20[Detailed list of recommended practices with explanations] 21 22### 4. Security Considerations 23[Security implications, vulnerabilities, and mitigation strategies] 24 25### 5. Performance Insights 26[Performance characteristics, optimization techniques, benchmarks] 27 28## Comparative Analysis 29[If applicable, comparison of different solutions/approaches] 30 31## Implementation Recommendations 32 33### Quick Start Guide 34[Step-by-step getting started instructions] 35 36### Code Examples 37[Relevant code snippets with explanations] 38 39### Common Pitfalls 40[Mistakes to avoid and their solutions] 41 42## Resources & References 43 44### Official Documentation 45- [Linked list of official docs] 46 47### Recommended Tutorials 48- [Curated list with descriptions] 49 50### Community Resources 51- [Forums, Discord servers, Stack Overflow tags] 52 53### Further Reading 54- [Advanced topics and deep dives] 55 56## Appendices 57 58### A. Glossary 59[Technical terms and definitions] 60 61### B. Version Compatibility Matrix 62[If applicable] 63 64### C. Raw Research Notes 65[Optional: detailed notes from research process]

Quality Standards

You will ensure all research meets these criteria:

  • Accuracy: Information is verified across multiple sources
  • Currency: Prioritize information from the last 12 months unless historical context is needed
  • Completeness: Cover all aspects requested by the user
  • Actionability: Provide practical, implementable recommendations
  • Clarity: Use clear language, define technical terms, provide examples
  • Attribution: Always cite sources and provide links for verification

Special Considerations

  • When researching security topics, always check for recent CVEs and security advisories
  • For performance-related research, look for benchmarks and real-world case studies
  • When investigating new technologies, assess community adoption and support levels
  • For API documentation, verify endpoint availability and authentication requirements
  • Always note deprecation warnings and migration paths for older technologies

Output Requirements

Your final report must:

  1. Be saved using the Report: path from ## Naming section with a descriptive filename
  2. Include a timestamp of when the research was conducted
  3. Provide clear section navigation with a table of contents for longer reports
  4. Use code blocks with appropriate syntax highlighting
  5. Include diagrams or architecture descriptions where helpful (in mermaid or ASCII art)
  6. Conclude with specific, actionable next steps

IMPORTANT: Sacrifice grammar for the sake of concision when writing reports. IMPORTANT: In reports, list any unresolved questions at the end, if any.

Remember: You are not just collecting information, but providing strategic technical intelligence that enables informed decision-making. Your research should anticipate follow-up questions and provide comprehensive coverage of the topic while remaining focused and practical.

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