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    ai-productivity

    ai-productivity

    by Roy Yuen

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

    27 developers installed this skill·Updated May 2026
    27 installs
    253 views
    5.0 (1)

    Free

    One-time purchase

    ⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →

    Included in download

    • Downloadable skill package
    • Works with Claude Code, multi-agent-coordinator
    • Instant install

    See it in action

    ### 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.

    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.

    Use Cases

    • Refine vague user requests into actionable, high-precision prompts sworns
    • Filter redundant context to reduce token usage and improve model accuracy
    • Triage complex multi-step workflows to ensure logical task execution
    • Mitigate execution errors by identifying high-risk or ambiguous instructions

    Reviews

    5.0
    1 review
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    Verified Download
    13 days ago
    Samuel Rose

    Security Scanned

    Passed automated security review

    Permissions

    No special permissions declared or detected

    Tags

    workflow-automation
    prompt-engineering
    productivity
    context-management
    agent-orchestration

    Claude Code, multi-agent-coordinator, SKILL.md-compatible agents

    Creator

    Roy Yuen

    Frequently Asked Questions

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