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How to Reduce Claude Code Token Usage in Your First Prompt

Use a focused task, necessary context, clear constraints, and a requested result to avoid unnecessary Claude Code context—without relying on unsupported savings claims.

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To reduce avoidable token use in a new Claude Code session, give it the task, the result you need, only the project context it cannot infer, and any essential constraint or check. Keep recurring project guidance concise in CLAUDE.md, and leave occasional procedures to on-demand skills. There is no published, reliable percentage for how many tokens this approach saves.

Write a compact prompt that still gives Claude what it needs

A short prompt is useful only if it preserves the information needed to do the work correctly. Anthropic’s prompting guidance recommends clear, direct instructions, with relevant context, output format, and constraints stated explicitly: Claude prompting best practices.

  • Task: Name the concrete change or question.
  • Outcome: Say what you want back, such as a code change, explanation, or report.
  • Necessary context: Include project facts Claude cannot reliably infer.
  • Constraints and checks: Specify important boundaries and how to verify the result.

For example: “In this repository, update the login form to validate email addresses. Follow the existing component patterns, add or update focused tests, and report the files changed and test result. First inspect the relevant component and its tests; do not summarize unrelated parts of the repository.” This is a practical illustration, not a tested token-minimization formula.

Avoid broad repository tours, generic coding advice, and unrelated history from previous tasks when the code or project instructions already provide that information. Do not omit acceptance criteria or project-specific constraints merely to make the prompt shorter.

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Trim the context Claude Code loads automatically

Claude Code reads applicable CLAUDE.md files as session context. These files hold persistent project, personal, or organization guidance; they are instructions, not enforced configuration. Files in the current and parent directory hierarchy can all apply, and their contents are concatenated. See Anthropic’s Claude Code memory documentation.

Keep always-loaded instructions focused

Anthropic recommends targeting fewer than 200 lines per CLAUDE.md. This is guidance, not a tool-enforced limit. Put durable, broadly useful material there: build and test commands, coding conventions, architecture decisions, naming rules, and recurring workflows. Long instruction files consume context and may be followed less consistently.

Scope instructions to the work that needs them

Rules for one part of a codebase can live in path-scoped instructions rather than applying to every task. In a monorepo, check which parent and project instruction files are loaded; where appropriate, use claudeMdExcludes to exclude irrelevant ancestor or other-team files. Nested instruction files are discovered as Claude enters relevant subdirectories. Starting Claude Code from the intended project root or subproject can also avoid loading guidance from an unnecessarily broad parent directory.

Move occasional procedures into skills

Instructions needed only for particular workflows can be placed in skills, which load on demand, rather than in always-loaded CLAUDE.md content. This is most useful for procedures that are detailed but infrequently needed. Claude Code also has auto memory; Anthropic’s current documentation says each session loads only its first 200 lines or 25KB.

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Check and manage context during a session

Use Claude Code’s slash commands to see what is in context and avoid carrying irrelevant history into later work:

  • /usage shows current token usage.
  • /context shows what is consuming context.
  • /clear starts a fresh session, which is appropriate when switching to unrelated work.
  • /compact summarizes a continuing session. You can specify what the summary should retain, such as code samples, API usage, test output, or changes made.

Anthropic says Claude Code automatically uses prompt caching for repeated content and auto-compaction near context limits. These mechanisms do not make unnecessary context free: the amount of context still matters. See the current Claude Code cost guidance.

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Choose models and tools for the task

Anthropic recommends Sonnet for most coding tasks and reserving Opus for complex architectural decisions or multi-step reasoning. Its cost guidance also recommends disabling MCP servers that are not actively used and preferring a CLI tool when practical, since CLI tools do not add per-tool listing overhead in the same way.

Reasoning controls are model-specific. Anthropic’s current prompting guidance says Opus 4.6 can explore extensively at high effort, increasing thinking-token use and response time; when that behavior is undesirable, constrain reasoning explicitly or lower effort. Do not assume the same behavior or setting applies to every model or version: consult the current documentation for the model in use.

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What token savings can you expect?

Anthropic’s cited documentation does not publish a fixed token-savings percentage for rewriting the first Claude Code prompt. The practical aim is to remove irrelevant prompt and session context while retaining the task information needed for a correct result—not to target an unsupported savings number.

One separate finding in Anthropic’s long-context prompting guidance says queries placed at the end can improve response quality by up to 30% in certain tests. That is a response-quality result, not a token-reduction estimate. For a long input, put the source material before the specific request; do not treat the figure as a promise for Claude Code sessions.

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