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Anthropic releases Opus 5.5 usage guide

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Anthropic has published a guide for maximizing the effectiveness of the Opus 5.5 model. The focus shifts from step-by-step prompting to defining clear completion criteria and stop conditions for autonomous, long-running tasks.

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  1. Opus 5.5 Operational Shift
  2. Core Best Practices
  3. Defining Completion Criteria
  4. Managing Reasoning Effort
  5. Refining Design Requests
  6. Establishing Stop Rules
  7. Utilizing Sub-Agents
  8. Tracking Long-Running Tasks
  9. Automated Review and Verification
  10. Claude App Capabilities
  11. Safety and Model Transitions
  12. Fast Mode for Interaction
  13. Evolution of User Role
  14. Source Documentation

Opus 5.5 Operational Shift

Anthropic recommends assigning tasks with defined completion criteria and stop points. Users should avoid manual "think carefully" prompts, as the model now manages its own reasoning process, and utilize sub-agents for large-scale work.

Core Best Practices

Key recommendations include providing full task context in one message, removing "think carefully" phrases, and using CLAUDE.md to define interaction rules. For complex tasks, users should employ sub-agents and verify reports before final review.

Core Best Practices
@choi.openai · Source post ↗

Defining Completion Criteria

The guide suggests providing clear, verifiable success states, such as passing tests or migrating endpoints. Opus 5.5 excels at maintaining long-running tasks without constant supervision when the end goal is explicitly defined.

Defining Completion Criteria
@choi.openai · Source post ↗

Managing Reasoning Effort

Users should remove "think step by step" prompts, as Opus 5.5 automatically adjusts its reasoning depth. For Claude Code, users can adjust effort settings, and they can provide additional instructions during execution without restarting the task.

Managing Reasoning Effort
@choi.openai · Source post ↗

Refining Design Requests

To avoid generic design outputs, Anthropic advises listing specific patterns or styles to exclude. By iteratively adding forbidden elements to a list, users can narrow the model's output toward their desired aesthetic.

Refining Design Requests
@choi.openai · Source post ↗

Establishing Stop Rules

Users should define clear stop rules in CLAUDE.md to manage autonomous behavior. The model should be instructed to proceed without input for routine tasks but pause for high-risk actions like data deletion or repository changes.

Establishing Stop Rules
@choi.openai · Source post ↗

Utilizing Sub-Agents

For large-scale audits or migrations, the guide recommends delegating tasks to sub-agents. The main session should act as a coordinator, verifying the evidence provided by each sub-agent before finalizing the results.

Utilizing Sub-Agents
@choi.openai · Source post ↗

Tracking Long-Running Tasks

Maintaining a TASKS.md file allows users to track progress through context summaries. Upon completion, the model should be instructed to provide a structured report covering pending decisions, changes, and findings.

Tracking Long-Running Tasks
@choi.openai · Source post ↗

Automated Review and Verification

Anthropic suggests having Opus 5.5 perform initial reviews of its own work. Users can prompt the model to identify potential bugs, explain reasoning, and explicitly mark areas where information remains unverified.

Automated Review and Verification
@choi.openai · Source post ↗

Claude App Capabilities

Opus 5.5 shows improved accuracy in interpreting visual data like charts and diagrams. Users can request full documents or spreadsheets rather than summaries and should use project instructions to maintain focus in long conversations.

Claude App Capabilities
@choi.openai · Source post ↗

Safety and Model Transitions

Opus 5.5 includes updated safety guardrails. If a message triggers a transition to an older model, users can manually re-select Opus 5.5 or adjust their prompt. Direct requests for internal reasoning are blocked, so users should ask for specific explanations instead.

Safety and Model Transitions
@choi.openai · Source post ↗
Safety and Model Transitions
@choi.openai · Source post ↗

Fast Mode for Interaction

A new "fast mode" is available for Claude Code, intended for interactive, short-turn tasks. While it provides quicker responses, it incurs higher costs and is less efficient for long-running autonomous tasks compared to standard mode.

Fast Mode for Interaction
@choi.openai · Source post ↗

Evolution of User Role

The user's role is evolving from providing step-by-step instructions to designing task boundaries and verification protocols. Success depends on clear stop conditions and effective use of CLAUDE.md to manage the model's autonomy.

Evolution of User Role
@choi.openai · Source post ↗

Source Documentation

The full guide and additional details regarding Opus 5.5 optimization are available on the official Claude developer blog.

Source notes

This is a linked resource, not an independent verification of performance, cost or results. Check the original for current details.

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2026-09-23
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