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Ck:Research

Community
manhvann
ck:research

Research technical solutions, analyze architectures, gather requirements thoroughly. Use for technology evaluation, best practices research, solution design, scalability/security/maintainability analysis.

Overview

Publishermanhvann
Repositorycodexkit
Skill nameck:research
Stars
88
Forks
81
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by manhvann on GitHub. Read the source before you install it.

Installation

Install the Ck:Research AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/manhvann/codexkit/tree/main/.agents/skills/research
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/manhvann/codexkit.git /tmp/codexkit
mkdir -p .claude/skills
cp -r /tmp/codexkit/.agents/skills/research .claude/skills/manhvann-ck-research
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ck:Research in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ck:Research on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ck:Research is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 .codex/.ck.json (or ~/.codex/.ck.json) for skills.research.useGemini (default: true). If false, skip Gemini and use available web search.
    • Gemini Model: Read from .codex/.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 available web search tool.
    • Run multiple gemini bash commands or available web search 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 ck: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
# Research Report: [Topic]

## Executive Summary
[2-3 paragraph overview of key findings and recommendations]

## Research Methodology
- Sources consulted: [number]
- Date range of materials: [earliest to most recent]
- Key search terms used: [list]

## Key Findings

### 1. Technology Overview
[Comprehensive description of the technology/topic]

### 2. Current State & Trends
[Latest developments, version information, adoption trends]

### 3. Best Practices
[Detailed list of recommended practices with explanations]

### 4. Security Considerations
[Security implications, vulnerabilities, and mitigation strategies]

### 5. Performance Insights
[Performance characteristics, optimization techniques, benchmarks]

## Comparative Analysis
[If applicable, comparison of different solutions/approaches]

## Implementation Recommendations

### Quick Start Guide
[Step-by-step getting started instructions]

### Code Examples
[Relevant code snippets with explanations]

### Common Pitfalls
[Mistakes to avoid and their solutions]

## Resources & References

### Official Documentation
- [Linked list of official docs]

### Recommended Tutorials
- [Curated list with descriptions]

### Community Resources
- [Forums, Discord servers, Stack Overflow tags]

### Further Reading
- [Advanced topics and deep dives]

## Appendices

### A. Glossary
[Technical terms and definitions]

### B. Version Compatibility Matrix
[If applicable]

### C. Raw Research Notes
[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.

Frequently asked questions

What does the Ck:Research AI skill do?

Research technical solutions, analyze architectures, gather requirements thoroughly. Use for technology evaluation, best practices research, solution design, scalability/security/maintainability analysis.

Why use Ck:Research on TypingMind?

Because you install it once and use it with any model. Ck:Research is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ck:Research in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/manhvann/codexkit/tree/main/.agents/skills/research. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ck:Research?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ck:Research?

As many as you like. As long as a model supports skills, you can use Ck:Research with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ck:Research AI skill free?

Yes. It is published on GitHub by manhvann under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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