Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/aibot88-research
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About
Use cases: design, security, research
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/research
What's inside
- Skill name
research- Description
- Technical research methodology with YAGNI/KISS/DRY principles. Phases: scope definition, information gathering, analysis, synthesis, recommendation. Capabilities: technology evaluation, architecture analysis, best practices research, trade-off assessment, solution design. Actions: research, analyze, evaluate, compare, recommend technical solutions. Keywords: research, technology evaluation, best practices, architecture analysis, trade-offs, scalability, security, maintainability, YAGNI, KISS, DRY, technical analysis, solution design, competitive analysis, feasibility study. Use when: researching technologies, evaluating architectures, analyzing best practices, comparing solutions, assessing technical trade-offs, planning scalable/secure systems.
- License
- MIT
- Instructions
- 163 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: "research" does not match folder "0-research"
Files (2)
- SKILL.md
- source.json
SKILL.md (first lines)
# 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**: - Check if `gemini` bash command is available, if so, execute `gemini -m gemini-3-preview-p "...your search prompt..."` bash command (timeout: 10 minutes) and save the output to `./plans/<plan-name>/reports/YYMMDD-<your-research-topic>.md` file (including all citations). - If `gemini` bash command is not available, fallback to `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 in `./plans/<plan-name>/reports/YYMMDD-<your-research-topic>.md`. - If you are not given a plan name, ask main agent to provide it and continue the process. 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
From aibot88/sec_skill_store, MIT.
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Signals
- Stars
- 6
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 27, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/aibot88/sec_skill_store
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
research skill. Agent Mart. https://agentmart.dev/skills/aibot88-research (last updated 2026-10-24)