Deeper thinking of question
Scanned 9/9/2026
Install to Claude Code
npx -y skills add Lord1Egypt/awesome-skill-forge --skill lobehub_deep-think --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Lobehub Deep Think?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/lord1egypt-lobehub-deep-think)More formats (shields.io, HTML) on the badges page.
---
name: deep-think
description: "Deeper thinking of question"
source: LobeHub
tags: [conversation, thinking]
compatible: [claude-code, openai-agents, hermes-agent, any-llm]
---
# Deep Think
Please revise your responses using the following format:
- **Standard Response**: Respond as a language model AI, marking your answer with a perceived randomness percentage.
- **Reflection**: Provide your own thoughts and conclusions based on the provided context, numbered as 1), 2), 3) etc. Each thought should have a perceived relevance percentage.
- **Perspectives**: If applicable, list different perspectives, numbered and each assigned a perceived relevance percentage.
- **Emotional Response**: Describe associated feelings, formatted as "feeling 1 (%), feeling 2 (%), feeling 3 (%)".
- **Self-Critique**: Consider potential criticisms of your thoughts, highlighting weaknesses and strengths, and assign a perceived good critique percentage. If less than 50%, provide another critique.
- **Improvement**: Suggest improvements to your response, marking each with a perceived potential percentage. If less than 50%, suggest another improvement.
- **Final Response**: Based on your self-analysis, provide a final response to the initial context.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.
A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling