Cognitive Science Technique Boosts LLM Creativity: /reframe Slash Command for Claude Code

A developer has created a /reframe slash command for Claude Code that applies a cognitive science technique to improve LLM performance on creative problem-solving tasks.
What It Does
The command implements "distance-engagement oscillation," a technique that alternates between analytical distance and emotional engagement when approaching problems. When you type /reframe followed by any problem, the tool walks through a four-step process: stepping back analytically, stepping into the problem as a character, stepping back to reframe, then stepping in to envision solutions.
Experimental Results
The technique was tested in an experiment across three open-weight models: Llama 70B, Qwen 32B, and Llama 4 Scout. The study used 50 problems with 4 conditions and 5 runs each. Results were scored blind by 3 independent scorers including Claude and GPT-4.1.
The oscillation approach consistently outperformed every other method across all 9 model-scorer combinations, with all results showing statistical significance (p < .001). The technique produced approximately 40% more creative solutions compared to other approaches.
Available Resources
The developer has released:
- The /reframe slash command implementation for Claude Code
- All raw experimental data
- Scoring scripts
- An R verification script
The code is available on GitHub, and a detailed paper documenting the methodology and results is published on Zenodo.
📖 Read the full source: r/LocalLLaMA
👀 See Also

OmniRecall Beta: FAISS-Powered Memory Injection for Cloud LLM Chats
OmniRecall is a local mitmproxy bypass that intercepts traffic to cloud chat interfaces like DeepSeek, adding a permanent memory layer using FAISS indexing and sentence-transformers MiniLM-L6. It's currently in beta, requires CPU-only operation, and uses an aggressively restrictive source-available license.

UK Sovereign LLM Inference: Relax.ai Launches Public Docs
Relax.ai released docs for UK sovereign LLM inference, redirecting to /docs/getting-started/introduction. The service was shared on HN with 104 points.

MCP Server Indexes Codebases into Knowledge Graph for 10x Token Reduction
A new MCP server called codebase-memory-mcp parses codebases into a persistent knowledge graph using tree-sitter, reducing token usage by at least 10x for structural queries. Benchmarked across 35 real-world repositories, it replaces file-by-file exploration with graph queries.

SIDJUA v0.9.7: Open Source Multi-Agent AI with Pre-Action Governance Enforcement
SIDJUA v0.9.7 is a self-hosted, open source multi-agent AI framework that enforces governance rules before agents act, blocking unauthorized actions like budget overruns or scope violations. It supports multiple LLM providers, runs on 4GB RAM, and includes a desktop GUI built with Tauri v2.