Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    ai Productivity

    4

    High-speed intake for shaping vague prompts, triaging complex tasks, and compressing context for efficient execution.

    Free

    177 uses5.0 (1 review)
    ai-productivity

    ai-productivity

    Example session with this skill installed

    I'm seeing some weird intermittent timeouts on the API. Can you look through these logs and help me find out why the auth-service might be failing?

    • Read your context and instructions
    • Compiled the ai-productivity

    Rewritten Prompt

    Context: Debugging intermittent API timeout.
    Goal: Identify root cause in logs.
    Constraints: Focus on 'auth-service' headers.
    Success Criteria: List of 3 likely failure points with timestamps.
    Output format: Technical bulleted list.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    What it does

    The AI Productivity skill acts as a high-performance intake layer for your agentic workflows. It identifies and resolves common execution bottlenecks before they waste tokens or time: vague prompts, overwhelming context "bloat," and high-risk ambiguous requests. Instead of diving blindly into a task, this skill triages the work, compresses relevant data, or rewrites instructions into actionable prompts.

    Why use this skill

    Prompting an AI is easy; getting a complex agent to execute a multi-step task without drifting is hard. This skill is better than manual prompting because it applies consistent logic to "shape" a request. It prevents the "walls of text" problem by extracting only pertinent facts and decisions, and it stops execution errors by forcing success criteria on vague goals. It ensures that when a task is handed off to specialized tools or other agents, they receive a high-signal, low-noise brief.

    Supported workflows

    • Request Triage: Scopes risky or broad tasks before execution starts.
    • Context Compression: Distills long session logs into facts, decisions, and next steps.
    • Lightweight Rewriting: Converts "fuzzy" ideas into structured prompts with clear constraints.
    • Agent Handoffs: Generates standardized briefs for multi-agent systems via the multi-agent-coordinator.

    The Output

    Depending on the input, you receive a direct answer, a structured internal brief (Summary, Decisions, Open Questions), or a refined prompt ready for immediate execution, complete with success criteria and formatting rules.

    • Not a replacement for complex project management or deep prompt engineering.
    • May overlook subtle nuances if context compression is applied too aggressively to technical data.

    How to use

    1. 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. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

    Reviews

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    This skill has been used 177 times.

    Trust & safety

    Security scan

    Security scan passed 7 months ago

    • Free with an Agensi account

    Permissions

    No special permissions declared or detected

    Listed7 months ago

    What's inside

    Frequently Asked Questions

    This skill acts as a pre-processing layer that identifies vague instructions and 'context bloat' before they lead to execution errors or wasted tokens, ensuring your agents receive only high-signal, actionable briefs.

    This skill is designed to be model-agnostic and works seamlessly with most LLM-based agents; it is particularly effective when used alongside the multi-agent-coordinator for standardized handoffs between specialized tools.

    Upon purchase, you receive the full skill logic ready for integration, documentation on how to implement the intake layer, and example configurations for triage and context compression workflows.

    Yes, this skill is specifically designed to ingest long session logs or 'walls of text' and distill them into a compressed format containing only essential facts, decisions, and next steps.

    The ai-productivity skill is built for rapid intake with minimal overhead, ensuring that the triage and rewriting process adds negligible latency to your overall agentic workflow.

    New in Agents & Orchestration

    Free