# Token Saving Techniques

> A list of techniques for reducing token usage while working on complex tasks. Use this skill when the task at hand involves working with a significant number of documents or resources.

- Skill: `viktor-ferenczi/token-saving-techniques` (Agent Skill)
- Install (CLI): `npx skillmds add viktor-ferenczi/token-saving-techniques`
- Raw SKILL.md: https://api.skillmd.com/api/skills/viktor-ferenczi/token-saving-techniques/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- License: MIT
- Author: viktor-ferenczi (https://skillmd.com/u/viktor-ferenczi)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/viktor-ferenczi/token-saving-techniques

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Consider using these skills:
- [caveman](https://www.skills.sh/juliusbrussee/caveman/caveman) Instructions to use concise language, while not losing important details. Use only `lite` or `full` levels. Do not use this skill while producing documentation files.
- [silent-cli](https://skills.sh/viktor-ferenczi/skills/silent-cli) Environment variables and parameters for running command line programs reliably in non-interactive environments (unattended). Includes silent modes, color/disable TTY, and reduced output options for 155 CLI tools.
- [structured-documentation](https://skills.sh/viktor-ferenczi/skills/structured-documentation) A systematic plan for generating structured documentation to optimize further work on the same code or documents. Serves as a TOC for progressive disclosure, reducing the search effort to find facts.
- [recursive-language-model](https://skills.sh/viktor-ferenczi/skills/recursive-language-model) Recursive Language Model workflow for processing documents that exceed context window limits. Uses a persistent Python REPL and subordinate agents to chunk, search, and analyze large context files.

If you don't have them, ask for permission to fetch them from their respective GitHub pages:
- https://github.com/viktor-ferenczi/skills
- https://github.com/JuliusBrussee/caveman

