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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.

    36 developers installed this skill·Updated Jun 2026
    36 installs
    330 views
    5.0 (1)

    Free

    Included in download

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

    Sample input

    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?

    Sample output

    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

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    Verified Download
    about 1 month ago
    Samuel Rose

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

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