Compress coding-agent responses while preserving identifiers, errors, and code formatting.
npx skills add https://github.com/felipeinf/fasterizy --skill fasterizy
Please help me install this Agent Skill. Skill: fasterizy Source: https://github.com/felipeinf/fasterizy/tree/main Command: npx skills add https://github.com/felipeinf/fasterizy --skill fasterizy
It reduces the time between agent turns while preserving technical accuracy and exact terminology.
Ask an AI agent: "Give a faster, compressed answer to this coding question without changing code, symbols, or error text."
High-intent search queries and answers about installing and using this skill.
To get faster responses from a coding agent without losing technical accuracy, use answer-first compression. This technique delivers the direct conclusion immediately with fewer filler tokens while preserving exact identifiers, error text, and code formatting.
Compressing agent responses does not affect plan files or technical documentation. A plan-artifact safe mode keeps plan files and source-like content uncompressed so handoffs, checked-in text, and safety-critical wording remain intact.
The best way to reduce filler tokens during error diagnosis is applying answer-first compression rules. This forces the agent to deliver the direct conclusion immediately without changing code, symbols, or error text formatting.
You can still get detailed trade-offs and expanded explanations from a compressed coding agent session. The agent expands detail on-demand when you explicitly ask for more depth without refusing or stalling the workflow.
You toggle between compressed and standard agent responses during a coding session using session control commands. Use the /fasterizy toggle switches to turn the compression behavior on or off as needed throughout your workflow.
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