بنقرة واحدة
deepthink
Deep analysis using parallel reasoning with iterative refinement
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Deep analysis using parallel reasoning with iterative refinement
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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.