Condense text files while preserving all original information.
npx skills add https://github.com/gsa9/claude-plan-skills --skill trim
Please help me install this Agent Skill. Skill: trim Source: https://github.com/gsa9/claude-plan-skills/tree/main/skills/trim Command: npx skills add https://github.com/gsa9/claude-plan-skills --skill trim
This Skill helps you optimize a file for token efficiency without sacrificing information or functionality, saving tokens during AI prompts and storage space.
To tokenize-save a document, run trim on a file path, e.g., /trim path/to/file.txt
High-intent search queries and answers about installing and using this skill.
To optimize a text file for token efficiency without losing information, run a trim command on a plain text file path to condense prose and formatting while preserving every discrete item, fact, and rule intact.
Yes, you can condense long documentation into a compact form for quick reference by inventorying all original items before condensing and verifying the final version against the inventory to enforce zero-information-loss.
A document trim process verifies zero information loss by inventoring all original facts, rules, and examples before condensing the text, then automatically verifying the final optimized version against that initial inventory.
Yes, token optimization works on any plain text or documentation file format where keeping every rule, fact, or example intact is critical, saving tokens during AI prompts and storage space.
The best way to shrink files for AI prompts while keeping meaning intact is using an inventory-preserving optimization tool that condenses formatting and prose while ensuring no discrete items are removed or altered.
pradyumnasagarGuide authors through creating and validating ORS SKILL.md files.
monamaretDesign and optimize LLM prompts to reduce token usage, latency, and cost.
girijashankarjEstimate token usage for files or directories using a word-count heuristic.
DiologIRCompress technical documents into dense summaries preserving semantic content.
