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deepthink
Deep analysis using parallel reasoning with iterative refinement
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Deep analysis using parallel reasoning with iterative refinement
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Make the current work resumable from a clean checkout — commit/push, record in-flight async work, flag what isn't durable. INVOKE ONLY when the user explicitly runs /handoff or asks for a handoff.
Launch and manage jobs on the HPC cluster (INVOKE ONLY when the user explicitly runs /hpc or asks to use this skill).
Analyze files for quality and consistency within the codebase
Deep verification that all changes meet requirements and preserve correctness
Identify files needed to accomplish a task
Read files in context
| name | deepthink |
| disable-model-invocation | true |
| description | Deep analysis using parallel reasoning with iterative refinement |
| argument-hint | ["problem or question","optionally mention number of agents/cycles"] |
$ARGUMENTS
Defaults: 5 agents for Cycle 1, 3 agents for subsequent cycles, 2–3 cycles (2 if early convergence, 3 if significant disagreement persists). Adjust if the user specifies (e.g., "use 10 agents", "do 4 rounds", "go deeper").
Achieve higher-quality analysis through parallel independent reasoning with iterative refinement.
You (main agent) orchestrate and synthesize. Sub-agents analyze based on the context you provide.
Before spawning any sub-agents, ensure you have sufficient context.
If you lack understanding of the problem domain, codebase, or relevant materials:
If you already have sufficient context from the current conversation, proceed directly.
Critical: Sub-agents will only know what you tell them. They start cold with no access to your conversation history or accumulated understanding.
When spawning each sub-agent, you must include in the prompt:
Do NOT assume sub-agents will figure out context from a thin prompt. Give them everything they need to reason well.
When spawning sub-agents, instruct them to:
Spawn N Opus sub-agents to analyze independently:
Before synthesizing, review each agent's output for:
Flag or discount flawed reasoning. Note which analyses survive verification intact.
Collect analyses, then synthesize and write to ANALYSIS_[descriptor]_cycle1.md:
Spawn a new round of N Opus sub-agents:
Same as Cycle 1—review each agent's critique for logical validity before incorporation.
If continuing to another cycle, synthesize and write to ANALYSIS_[descriptor]_cycle[N].md:
Each cycle tightens the analysis.
After Cycle 2, assess:
If this is the last cycle, move to Final Output.
Write ANALYSIS_[descriptor]_final.md containing:
Length: The final output can be as long as needed for the task. Do not pad or add fluff, but if the task is genuinely complex, use all the space required to address it thoroughly.
Provide a brief summary in chat pointing to the final file.
Use Opus only—the value comes from parallel high-quality reasoning.