Earnings Window Timing

    1

    Times outreach to public company reporting windows.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+17 more

    See it in action

    You say

    Find the reporting dates for NVDA and CRM. Plan a 10-day outreach sequence for their Finance teams starting next month.

    Your agent does

    NVDA (Q3): Report 11/20. Quiet: 10/21-11/20. Open: 11/21. Sequence Start: 11/11. CRM (Q3): Report 11/28. Quiet: 10/29-11/28. Open: 11/29. Sequence Start: 11/19. Note: Finance teams are unreachable during Quiet periods. Dates adjusted for fiscal year alignment.

    What you get

    Determine exact reporting dates and quiet periods for a list of tickers.Generate a dated send calendar for multi-touch sales sequences.Filter out outreach dates where Finance teams are legally restricted or busy.Identify companies with staggered fiscal years to avoid timing errors.

    About this skill

    The problem

    Public company outreach often fails because it hits finance or IR teams during the "quiet period" or reporting crunch. Generic outreach rules ignore staggered fiscal years, leading to poorly timed sequences that get ignored or blocked.

    What it does

    • Identifies exact reporting dates and quiet periods using live company filings and identifiers.
    • Calculates optimal outreach windows based on specific departments like Finance, IR, or Communications.
    • Accounts for non-standard fiscal years to ensure timing accuracy across global tickers.
    • Generates a specific dated send calendar for each target company based on your sequence length.
    • Flags unresolved companies explicitly to maintain pipeline integrity.

    Frameworks & tools

    Apify (Public Company Reporting Window Finder), ICP.md context files.

    Why this beats prompting it yourself

    Standard LLM prompts rely on training data that quickly becomes stale or hallucinate reporting dates. This skill uses live identifier resolution and handles the complex math of working backward from dynamic windows to ensure your first touch lands exactly when the recipient has the capacity to respond.

    Use cases

    • Timing investor relations outreach to land immediately after results are posted.
    • Avoiding the pre-earnings quiet period for finance and communications leads.
    • Planning multi-touch sequences that peak during open windows.
    • Mapping global outreach schedules for companies with non-calendar fiscal years.

    Most premium skills are on a weekly review cycle. Fixes and improvements ship as updates, and buyers receive release notes by email. Part of the Mambabuilt catalog. Packs and the full bundle are available at mambabuilt.com.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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