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

v1.0.0
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About this Skill

Ideal for Advanced Language Agents like Claude Code and AutoGPT needing systematic information analysis and evaluation capabilities. Alkana KPI application

hotriluan hotriluan
[0]
[0]
Updated: 3/5/2026

Agent Capability Analysis

The research skill by hotriluan is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Ideal for Advanced Language Agents like Claude Code and AutoGPT needing systematic information analysis and evaluation capabilities.

Core Value

Empowers agents to conduct thorough research using YAGNI, KISS, and DRY principles, evaluating sources based on recency and predefined criteria, and applying Alkana KPI applications for data-driven insights.

Capabilities Granted for research

Defining research scope for key term investigations
Evaluating source credibility based on recency requirements
Applying Alkana KPI for data analysis and visualization

! Prerequisites & Limits

  • Requires clear definition of research scope and boundaries
  • Dependent on quality and relevance of sources
  • May require additional tools for data visualization and analysis
Labs Demo

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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
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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.

FAQ & Installation Steps

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

? Frequently Asked Questions

What is research?

Ideal for Advanced Language Agents like Claude Code and AutoGPT needing systematic information analysis and evaluation capabilities. Alkana KPI application

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: Defining research scope for key term investigations, Evaluating source credibility based on recency requirements, Applying Alkana KPI for data analysis and visualization.

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 and boundaries. Dependent on quality and relevance of sources. May require additional tools for data visualization and analysis.

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.

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