From contextune
Efficiently research topics using parallel agents via Contextune's /ctx:research command. Use when users ask to research, investigate, find information about topics, compare options, or evaluate libraries/tools. Activate for questions like "research best X", "what's the best library for Y", or "investigate Z".
How this skill is triggered — by the user, by Claude, or both
Slash command
/contextune:researcherThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Efficiently research topics using parallel agents via Contextune's `/ctx:research` command.
Efficiently research topics using parallel agents via Contextune's /ctx:research command.
This skill should be used when the user:
When activated, this skill executes the /ctx:research command which:
Spawns 3 parallel Haiku agents (~$0.07, 1-2 minutes):
Returns comprehensive research including:
/ctx:research [user's query]
Important: Pass the user's query verbatim to capture intent.
The command runs in background. You'll receive results from all 3 agents simultaneously.
Present results in this structure:
## Research Findings: [Topic]
### Summary
[1-2 sentence overview of landscape]
### Top Options
#### 1. [Option Name] ⭐ Recommended
- **Pros**: [key advantages]
- **Cons**: [key drawbacks]
- **Best for**: [use cases]
- **Adoption**: [community size, maturity]
#### 2. [Option Name]
[same structure]
#### 3. [Option Name]
[same structure]
### Implementation Examples
[Code snippets or links if available]
### Migration Considerations
- [Key steps to adopt]
- [Potential challenges]
- [Time/effort estimation]
### Recommendation
[Clear recommendation based on user's context]
User Query:
research best React state management libraries
Your Action:
/ctx:research best React state management libraries 2025
Expected Output After Agents Complete:
## Research Findings: React State Management (2025)
### Summary
The React state management landscape has matured significantly, with Zustand and Jotai emerging as modern alternatives to Redux, optimized for React 18+ features.
### Top Options
#### 1. Zustand ⭐ Recommended
- **Pros**:
- Minimal boilerplate (~1KB)
- TypeScript-first design
- No providers needed
- React 18 concurrent mode support
- **Cons**:
- Smaller ecosystem than Redux
- Less established patterns for large apps
- **Best for**: New projects, simple-medium complexity, teams wanting minimal setup
- **Adoption**: 40K+ GitHub stars, growing rapidly
#### 2. Jotai
- **Pros**:
- Atomic state model
- Excellent TypeScript inference
- Built for React 18
- **Cons**:
- Steeper learning curve (atomic concepts)
- Newer, less community content
- **Best for**: Complex state requirements, fine-grained reactivity
- **Adoption**: 15K+ stars, backed by Poimandres team
#### 3. Redux Toolkit
- **Pros**:
- Mature, massive ecosystem
- Excellent DevTools
- Industry standard
- **Cons**:
- More boilerplate
- Provider setup required
- **Best for**: Large teams, existing Redux codebases, need for middleware
- **Adoption**: 60K+ stars (core Redux), widely used in enterprise
### Recommendation
For your project, I recommend **Zustand** because:
- Modern codebase starting fresh
- Team values simplicity over complexity
- Don't need advanced middleware ecosystem
- Want TypeScript-first experience
Migration from existing useState: ~2-4 hours for typical app.
/ctx:research command for seamless executionIf /ctx:research fails:
/ctx:configure for setupnpx claudepluginhub joshuarweaver/cascade-code-general-misc-2 --plugin shakestzd-contextuneMulti-agent research skill for technology evaluation, SOTA analysis, codebase archaeology, and competitive analysis. Uses wave-based pattern to gather breadth then synthesize.
Conducts focused research investigations with structured findings, confidence levels, and source citations. Spawns parallel scout agents for multi-angle research. Use when needing external information before deciding.
Orchestrates multi-AI research across external providers (Claude, Gemini, Copilot, etc.) during the Discover phase of Double Diamond. Initializes project state and synthesizes findings from multiple models.