Status verbs overview by Claude Code: Understand in one sentence what AI is busy with.



•Accomplishing — The system is executing the established sub-tasks one by one.
•Actioning — The system has converted the strategy into specific actions and put them into execution.
•Actualizing — The system is rapidly transforming abstract ideas into visible outputs.
•Baking — The system is in "slow baking" mode, patiently waiting for the best shape.
•Brewing — The system blends information to extract essence like brewing coffee.
•Calculating — The system is currently calculating key parameters at high speed.
•Cerebrating — The system enters deep thinking mode, weighing multiple reasoning chains.
•Churning — The system repeatedly stirs data to uncover hidden patterns.
•Clauding — Claude's core model is in full operation.
•Coalescing — The system aggregates scattered information into a unified answer.
•Cogitating — The system is deep in thought, evaluating various possibilities.
•Computing — The system is busy calculating complex formulas.
•Conjuring — The system quickly conjures potential knowledge as if by magic.
•Considering — The system evaluates the plan from multiple angles.

•Crafting — The system meticulously carves and polishes the output details.
•Creating — The system is generating new content from scratch.
•Crunching — The system performs intensive processing on massive amounts of data.
•Deliberating — The system is slowly contemplating to ensure thorough decision-making.
•Determining — The system is making the final conclusion.
•Doing — The system works diligently without unnecessary pauses.
•Effecting — The system will immediately apply the changes.
•Finagling — The system cleverly adjusts corner issues to ensure smoothness.
•Forging — The system's heavy hammer forges the core structure.
•Forming — The system gradually shapes the prototype of the answer.
•Generating — The system quickly generates candidate outputs.
•Hatching — The system incubates new ideas, about to break out.
•Herding — The system "herds" scattered information into an orderly queue.
•Honking — The system emits a prompt to coordinate internal modules.
•Hustling — System acceleration sprint, racing against time.
•Ideating — System brainstorming to generate creative ideas.
•Inferring — The system deduces implicit conclusions based on the context.
•Manifesting — The system presents potential possibilities in a concrete manner.
•Marinating — The system allows ideas to be "marinated" for flavor, gradually improving quality.
•Moseying — A leisurely stroll through the system to browse data and find inspiration.
•Mulling — The system repeatedly chews over the difficulties, seeking a breakthrough.
•Mustering — The system gathers various sub-models to work collaboratively.
•Musing — The system quietly drifts into thought.
•Noodling — A system's impromptu attempts at small experiments and testing schemes.
•Percolating — The system filters out noise and drips out key information.
•Pondering — The system deeply contemplates and refines the logical chain.
•Processing — Standardized processing in the system pipeline.
•Puttering — The system makes some low-priority minor fixes.
•Reticulating — The system is reweaving the knowledge network.
•Ruminating — The system repeatedly reflects on the information obtained, extracting insights.
•Schlepping — System搬运大块数据到工作区。
•Shucking — The system removes the shell, retaining the core content.
•Simmering — The system uses low heat to simmer, waiting for the best flavor.
•Smooshing — The system merges multi-source data into a consistent format.
•Spinning — The system rapidly iterates its internal state.
•Stewing — The system slowly simmers complex issues, allowing thoughts to soften and become easier to resolve.
•Synthesizing — The system synthesizes information from multiple sources to generate a unified answer.
•Thinking — The system is purely thinking.
•Transmuting — The system "alchemizes" old information into new insights.
•Vibing — The system captures the pulse of the context and adjusts the output style.
•Working — The system is working hard and is fully operational.

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