Delegate AI Subtasks
by Aman Garg
Stop burning expensive model tokens on repetitive subtasks. This skill delegates mechanical work to cheaper models and writes handoff snapshots so you never lose context switching between sessions.
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THE AGENSI STORE
15 skills found
by Aman Garg
Stop burning expensive model tokens on repetitive subtasks. This skill delegates mechanical work to cheaper models and writes handoff snapshots so you never lose context switching between sessions.
by Roy Yuen
Compress noisy chat logs and logs into durable, high-signal memory reports with built-in duplicate suppression.
Force your AI agent to minimize token usage (-70% token usage across multiple scenarios), batch commands, and eliminate conversational filler for faster, cheaper ops.
by Matthew King
Audit, score, and improve your AI agent skills for higher quality, lower token costs, better reliability, and marketplace success. Get actionable recommendations for prompts, instructions, tool usage, error handling, and user experience.
by Timoranjes
Maximize AI agent performance with proactive token management, intelligent compaction, and session handoff strategies.
by Shippers
Avoid context bloat and high costs with a 3-line verdict on expensive AI operations before you run them.
An advanced FinOps engine to analyze AI usage, optimize token spend, and reduce LLM costs by up to 60%.
Cost-aware execution planning for AI agents — estimate cost-vs-value before expensive steps, propose cheaper paths (cache, summarize once, downshift models), and track spend against a session budget with a PROCEED / OPTIMIZE / DEFER verdict.
by Nex AI
Production-ready Claude API integration with dual-model routing, token tracking, and resilient retry logic.
Model what your LLM app or agent will cost, find where the money goes, and get a plan to cut it. Per-request and monthly projections, ranked cost drivers, an optimization plan with estimated savings, and unit economics against your pricing — with the arithmetic shown.
Diagnose and fix context-window problems in your agent setup. Inventories everything that loads — memory files, skills, MCP tool definitions, hooks — estimates where the budget goes, maps your symptoms to causes, and prescribes concrete trims, restructures, and session habits, rewriting the files where that's the fix.
by Timoranjes
Teaches AI coding agents the discipline of context engineering — designing what information the agent sees, when, and in what format — to dramatically reduce token waste, prevent session amnesia, and
by Timoranjes
Teaches AI coding agents to proactively manage token budgets across task phases — setting per-task budgets, monitoring consumption in real-time, auto-compressing when approaching limits, and escalatin
by Timoranjes
context-window-manager-pro
Audit LLM spend to find recoverable waste in prompt caching, model routing, and token usage.