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Claude Code
Cursor
Codex CLI
Muse
Dots+21 moreClaude CodeCursorCodex CLIMuseDots
Manus
Grok
Grok Bot+18 agentsToken Trimmer
Reduce LLM token consumption/usage by up to 70% using high-density, tiered technical communication.
$5
Token Trimmer
Example session with this skill installed
Explain why my React component is re-rendering on every click and how to fix it using /tt ultra.
- Read your context and instructions
- Compiled the token trimmer
Compressed response at ultra level.
React Re-render Analysis
| Aspect | Detail |
|---|---|
| Cause | Inline obj prop → new ref each render |
| Effect | Prop change → child re-render |
| Fix | Wrap obj in useMemo |
| Alt Fix | Move obj outside component scope |
// Before: Re-renders every time
const MyComp = () => <Child config={{ id: 1 }} />;
// After: Stable reference
const MyComp = () => {
const config = useMemo(() => ({ id: 1 }), []);
return <Child config={config} />;
};
Next steps
- Identify all inline objects/arrays passed as props.
- Apply
useMemooruseCallbackto stabilize references. - Verify fix using React DevTools Profiler.
Connects securely to your tools. The creator never sees your data.
About this skill
High token usage in LLM interactions leads to unnecessary costs and slower response times. This skill forces the agent into a terse, high-density communication mode that reduces token consumption by up to 70% without losing technical accuracy.
What it does
- Token compression cuts word counts by removing articles, filler, and pleasantries.
- Dynamic levels provides three distinct tiers of brevity from lite to ultra.
- Short-form synonyms replaces long phrases with brief, technically accurate alternatives.
- Safety fallback reverts to standard clarity automatically for security, legal, or complex multi-step instructions.
- Abbreviation logic uses standard tech shorthand like DB, auth, and fn in ultra mode.
How it works
- Use the trigger
/ttfollowed by the level (lite,full, orultra) to set the compression intensity. - The agent processes your request and strips all non-essential linguistic fluff.
- Complex technical concepts are delivered as high-density fragments or arrow-based logic.
- If a prompt involves high-risk topics like security or PII, the agent resumes normal prose for that segment.
Frameworks & tools
This skill is framework-agnostic and works with any LLM interface supporting system instructions. It is specifically optimized for technical workflows involving code, database management, and API development.
Why this beats prompting it yourself
Manual "be brief" prompts are often ignored or result in lost context. This skill uses a tiered logic system and specific substitution rules to ensure brevity never compromises the technical substance of the answer.
Use cases
- Reduce API costs when using expensive high-reasoning models.
- Speed up response streaming for quick technical lookups.
- Get dense summaries of logs or errors without reading filler text.
- Condense complex technical explanations into scannable fragments.
Does not compress code, commits, or READMEs. Requires session persistence or re-announcement if the subagent resets. Not for use with users who prefer conversational tone.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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