Task Finisher with Grok (v1.4)
A disciplined execution framework to force your AI to complete multi-step tasks with verifiable, review-ready results.
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THE AGENSI STORE
61 skills found
A disciplined execution framework to force your AI to complete multi-step tasks with verifiable, review-ready results.
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 Sir Benjamin
Eliminate context drift and enhance depth with a multi-layered active reasoning framework for agents.
by tudor
Build a full-stack AI chatbot trained on your own documents across any industry — legal, healthcare, e-commerce, HR, finance, real estate, insurance, education, cybersecurity, government, and more.
Quickstart guide to connect your AI agent to the Agensi marketplace via Model Context Protocol (MCP).
by Shippers
Optimize task execution by intelligently dispatching work to parallel subagents with ready-to-paste prompts.
Transform raw video files into structured JSON and Markdown reports with local character detection and transcription.
by Roy Yuen
Standardize agent collaboration with high-density mission packets, strict authority boundaries, and return contracts.
by Shogun Labs
Battle-tested orchestration framework for running 3+ Claude Code agents in parallel. Covers task routing, denbun handoff protocol, exponential-backoff retry, rate-limit guards, structured JSON logging, and automated self-healing — patterns from real production deployments.
by LocoLoboZ
Orchestrate independent reviews, adversarial audits, and multimodal analysis via secondary models and external tools.
Drive a browser from your agent without the token bloat. Batches navigate/click/type into one call, stays logged in with persistent sessions, and feeds the model compact DOM snapshots instead of giant HTML, so multi-step flows like logins, form-filling, and scraping behind auth stay fast and cheap. Runs on the uBrowser MCP server.
by Roy Yuen
Architect durable multi-agent Kanban boards with structured handoffs and role-based task decomposition.
by Jeet Dhandha
Drive several real Chrome profiles, each with its live Google login, at once via Kimi WebBridge — multi-profile browser automation in your real Chrome, not headless.
by Danejw
Convert product specs into a vertical-slice implementation roadmap with ready-to-use prompts for AI coding agents.
by Shogun Labs
Battle-tested prompting patterns to eliminate LLM output drift. Sandwich structure, few-shot examples, history limits, retry, and token caps — 6 composable layers for production-grade agent reliability.
by Nex AI
Maintain 100% uptime with an automated LLM fallback chain that routes from high-tier APIs to local models.
A structured recovery framework to stop agent loops, handle malformed output, and manage autonomous error escalation.
A structured protocol for AI agents to orchestrate sub-agents with role contracts and disciplined handoffs.
Every orchestration topology — sequential, parallel, hierarchical, map-reduce, critic-actor — selected and designed for your exact workflow. Full system design with agent roles, interfaces, routing logic, and error paths.
by Nex AI
Scaffold a multi-model 6-step pipeline to automatically turn prospect URLs into live, branded demo websites.
The hard part of multi-agent work isn't spawning agents — it's deciding what deserves parallelism, what each agent needs to not duplicate work, and how failures cascade
by SkillForge
Stop fragile agent chains with structured, versioned, and idempotent handoff contracts for multi-agent systems.
by zoninmane
Deploy 6 battle-tested multi-agent orchestration patterns to eliminate agent laziness and boost output quality.
by SkillForge
Architect production-grade multi-agent systems with explicit contracts, idempotency, and self-healing reliability.