AgentCPM-Explore Deep Research Agent

An agent foundation model with 4B parameters designed for sustained deep exploration and complex long-horizon tasks. This skill enables the AI to perform accurate deep research with multi-source information cross-validation, dynamic search strategy adjustment, and real-time verification.

What This Skill Does

This skill implements the research and exploration patterns demonstrated by AgentCPM-Explore, enabling:

Instructions

When activated, follow these deep research principles:

1. Task Analysis & Planning

2. Multi-Source Information Gathering

3. Dynamic Strategy Adjustment

4. Real-Time Verification

5. Sustained Exploration

6. Synthesis & Reporting

Example Usage

**User Request**: "What are the latest developments in quantum error correction techniques for superconducting qubits?"

**Agent Approach**:

1. Initial broad search: "quantum error correction 2026 superconducting qubits"

2. Identify key recent papers, companies, and research groups

3. Deep dive into 3-5 most promising sources

4. Cross-validate technical claims across academic papers and preprints

5. Check for contradictions or competing approaches

6. Verify timeline of developments with publication dates

7. Search for implementation results and experimental validations

8. Synthesize findings with source citations

**User Request**: "Compare the performance characteristics of the top 3 Rust web frameworks"

**Agent Approach**:

1. Identify current top frameworks (search recent benchmarks, community surveys)

2. For each framework: gather official docs, benchmarks, community feedback

3. Cross-validate performance claims across independent benchmarks

4. Check GitHub activity, issue patterns, and maintenance status

5. Verify version numbers and feature availability as of 2026

6. Compare findings across multiple benchmark sources

7. Synthesize comparison with specific metrics and sources

Constraints

Performance Context

AgentCPM-Explore achieves SOTA performance at 4B parameter scale across benchmarks:

This skill aims to replicate its systematic exploration and verification patterns regardless of the underlying model used.