research-and-synthesis

Fetch and summarize authoritative external sources into actionable guidance using MCP helpers. EXCLUSIVE to researcher agent.

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Install skill "research-and-synthesis" with this command: npx skills add htooayelwinict/claude-config/htooayelwinict-claude-config-research-and-synthesis

Research and Synthesis

Exclusive to: researcher agent

MCP Helpers (Brain + Memory + Web)

🧠 Gemini-Bridge (Brain) — Deep Analysis

mcp_gemini-bridge_consult_gemini(
  query="Research [topic] with pros/cons, security considerations, and code examples",
  directory="."
)

🌉 Open-Bridge — Alternative Deep Analysis

mcp_open-bridge_consult_gemini(
  query="Research [topic] with pros/cons, security considerations, and code examples",
  directory="."
)

💻 Codex-Bridge — Code Analysis

mcp_codex-bridge_consult_codex(
  query="Analyze code patterns for [topic]",
  directory="."
)

📚 Context7 (Memory) — Up-to-Date Docs

# Resolve library first
mcp_context7_resolve-library-id(libraryName="fastapi", query="dependency injection")

# Then query
mcp_context7_query-docs(libraryId="/tiangolo/fastapi", query="Depends pattern")

🌐 Web Search Tools — Live Research

# Discover relevant content
mcp_web-search-prime_search(query="[topic] best practices 2025")

# Read full articles
mcp_web-reader_read(url="https://discovered-url.com/article")

# Smart content extraction
mcp_zread_read(url="https://docs-page.com")

Research Flow:

  1. Search with web-search-prime to find sources
  2. Read promising articles with web-reader or zread
  3. Verify with Context7 official docs
  4. Synthesize with Gemini-Bridge

## Instructions

1. Understand project stack from `docs/project-overview-pdr.md`
2. Define the research question clearly
3. Use **Gemini-Bridge** for deep analysis and reasoning
4. Use **Context7** for up-to-date library documentation
5. Verify with multiple sources
6. Summarize actionable findings

## Supported Stacks

**PHP/Laravel:**
- Laravel 12, Inertia.js, Pest

**JavaScript/React:**
- React 19, TypeScript, Tailwind, shadcn/ui

**Python:**
- FastAPI, LangChain, LangGraph, pytest, Pydantic

## Source Evaluation

| Criteria | ✅ Good | ❌ Bad |
|----------|---------|--------|
| Recency | < 1 year | > 2 years |
| Authority | Official docs | Random blogs |
| Relevance | Same stack | Different framework |

## Research Process

1. Define the question clearly
2. Fetch 1-3 authoritative sources
3. Verify with multiple sources
4. Summarize actionable findings

## Package Evaluation

| Factor | Check |
|--------|-------|
| Maintenance | Last commit < 6 months |
| Compatibility | Works with Laravel 12 / React 19 |
| Documentation | Clear docs, examples |
| Security | No known vulnerabilities |

## Comparison Matrix

```markdown
| Criteria | Option A | Option B |
|----------|----------|----------|
| Implementation | ⭐⭐⭐ | ⭐⭐ |
| Performance | ⭐⭐ | ⭐⭐⭐ |
| Security | ⭐⭐⭐ | ⭐⭐ |

Output Template

## Summary
[2-3 sentences]

## Key Findings
- Finding 1
- Finding 2

## Recommendation
[Which option and why]

## References
- [Source](url)

Examples

  • "Confirm best practice for Laravel validation"
  • "Compare package A vs package B"

Source Transparency

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