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codexkit-follow-up-draft-builder

Draft concise follow-up messages, nudges, reminders, and recap emails from open decisions, stale requests, or recent meetings. Use when the work is repetitive business writing with known context. Do not use for sensitive legal language, high-stakes negotiation, or board-level communication without review.

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Repository
hoavdc/CodexKit
Last source activity
March 22, 2026 at 17:03
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English
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26
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SKILL.md
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name
codexkit-follow-up-draft-builder
description
Draft concise follow-up messages, nudges, reminders, and recap emails from open decisions, stale requests, or recent meetings. Use when the work is repetitive business writing with known context. Do not use for sensitive legal language, high-stakes negotiation, or board-level communication without review.
version
1.0.0
category
automation
# Follow-Up Draft Builder ## Purpose Write short operational follow-ups that move work forward without overthinking. ## When to use - someone needs a reminder, nudge, or recap - open decisions need a clean ask and due date - the task is routine communication, not persuasion strategy ## When not to use - the message carries legal, HR, or regulatory risk - tone calibration matters more than speed ## Inputs - source context or prior thread summary - target audience - goal of the message - preferred tone if known ## Procedure 1. Identify the ask, owner, and desired timing. 2. Strip background detail down to only what the receiver needs. 3. Draft the message with a clear subject or opening line. 4. End with one explicit next step. 5. Provide a shorter variant if the user likely needs chat or Slack format. ## Output - follow-up message draft - optional short-form version ## Definition of done - the request is clear in one read - the recipient knows what action is needed - the draft is brief enough to send with minor edits ## Examples - "Write a reminder to finance for the missing close evidence." - "Draft a polite follow-up to the vendor on the contract intake questions." ## Quality Criteria - [ ] Trigger conditions and input requirements are unambiguous - [ ] Each automated step produces a verifiable output - [ ] Error handling and fallback paths are defined - [ ] Manual override points are documented ## Verification (4C) | Check | Question | |-------|----------| | **Correctness** | Does the workflow produce the expected output for the defined inputs? | | **Completeness** | Are all trigger conditions, edge cases, and error paths handled? | | **Context-fit** | Is the automation appropriate for the frequency and criticality of this task? | | **Consequence** | If this ran unattended and failed silently, what would the downstream impact be? | ## Edge Cases - **Input format varies unexpectedly** — Add a normalization step at entry. Alert the operator on format mismatches. - **Downstream system is unavailable** — Queue the output and retry with exponential backoff. Alert after N failures. - **Partial execution completes** — Ensure idempotency — re-running from the start produces the same result without duplication. ## Changelog - v1.0.0 — Initial release
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