Token Efficient
Force your AI agent to minimize token usage (-70% token usage across multiple scenarios), batch commands, and eliminate conversational filler for faster, cheaper ops.
- Reduce API billing by eliminating verbose chat filler and redundant file reads.
- Accelerate workflows by batching multiple shell commands into single tool calls.
- Minimize context window clutter by using targeted grep and partial file reads.
$9
· or 45 creditsSecure checkout via Stripe
Included in download
- Accelerate workflows by batching multiple shell commands into single tool calls.
- Minimize context window clutter by using targeted grep and partial file reads.
- terminal automation included
- Ready for Claude Code
Sample input
Update the UserAuth class in src/api.py to include a logout method and run the tests. Keep it brief.
Sample output
$ grep -n "UserAuth" src/api.py 12: class UserAuth: $ sed -n '12,25p' src/api.py [Code Block] Appended logout method to UserAuth. Tests passed (3/3).
Token Efficient
Force your AI agent to minimize token usage (-70% token usage across multiple scenarios), batch commands, and eliminate conversational filler for faster, cheaper ops.
$9
· or 45 creditsSecure checkout via Stripe
Included in download
- Accelerate workflows by batching multiple shell commands into single tool calls.
- Minimize context window clutter by using targeted grep and partial file reads.
- terminal automation included
- Ready for Claude Code
- Instant install
Sample input
Update the UserAuth class in src/api.py to include a logout method and run the tests. Keep it brief.
Sample output
$ grep -n "UserAuth" src/api.py 12: class UserAuth: $ sed -n '12,25p' src/api.py [Code Block] Appended logout method to UserAuth. Tests passed (3/3).
About This Skill
What it does
This skill transforms your AI agent into a high-efficiency developer that prioritizes low latency and minimal token consumption. It enforces strict constraints to eliminate conversational filler, avoid redundant file reads, and optimize tool usage through batching and targeted search.
Why use this skill
Standard LLM behavior is often verbose, re-explaining logic or re-reading files unnecessarily. This "token tax" compounds into significant costs and slower response times. This skill replaces that behavior with a "decide and act" philosophy. It ensures your agent only reads what it needs, only writes what changed, and executes multiple commands in single tool calls to maximize throughput while minimizing your API bill.
Supported tools
- File System: Optimized with partial reads (sed/head) and grep-first workflows.
- Shell: Batching multiple bash commands and truncating noisy output.
- Editing: Strict use of minimal diffs and str_replace over full-file rewrites.
Use Cases
- Reduce API billing by eliminating verbose chat filler and redundant file reads.
- Accelerate workflows by batching multiple shell commands into single tool calls.
- Minimize context window clutter by using targeted grep and partial file reads.
- Perform surgical code edits using minimal diffs instead of reprinting files.
Known Limitations
- May skip helpful explanations for beginners.
- Aggressive truncation can hide relevant logs.
- Risk of missing context with partial file reads.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/token-efficient -o /tmp/token-efficient.zip && unzip -o /tmp/token-efficient.zip -d ~/.claude/skills && rm /tmp/token-efficient.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
Reviews
No reviews yet - be the first to share your experience.
Only users who have downloaded or purchased this skill can leave a review.
Early access skill
Be the first to review this skill.
Only users who have downloaded or purchased this skill can leave a review.
Security Scanned
Passed automated security review
Permissions
File Scopes
Claude Code, SKILL.md-compatible agents
Creator
Frequently Asked Questions
Learn More About AI Agent Skills
More Premium Skills
endless-loop
Autonomous research and task loop that builds on previous findings to solve complex objectives while you sleep.
designing-hybrid-context-layers
Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.
ai-automation-qa-pack
Professional QA & UAT documentation generator for AI automation agencies and complex agent deployments.
Bounty Security Pattern Master Library — 399 Vulnerability Patterns
A premium library of 399 vulnerability patterns and DeFi attack vectors for AI-driven bug hunting and security audits.