By name: codexkit-content-calendar-assembler description: Turn launch dates, campaign inputs, and asset requests into a structured content calendar and workback plan. Use when the work is recurring marketing coordination and schedule packaging. Do not use for brand strategy, positioning design, or deep performance interpretation. version: 1.0.0 category: automation
Content Calendar Assembler
Purpose
Build a reliable publishing and asset schedule from scattered campaign inputs.
When to use
- campaign dates change often
- marketing ops or content leads need one clean calendar
- asset dependencies are getting lost across channels
When not to use
- the user needs positioning or message strategy
- success depends on deep channel analysis rather than schedule coordination
Inputs
- campaign or launch dates
- channel list
- asset requests and owners
- known dependencies and review deadlines
Procedure
- Normalize work into campaign, channel, asset, owner, and date.
- Build the workback order from launch date backward.
- Flag dependencies and missing owners.
- Separate confirmed dates from assumptions.
- End with a calendar summary and the most likely schedule risks.
Output
- structured content calendar
- asset workback plan
- dependency and risk list
Definition of done
- the launch plan is visible in one place
- owners and dates are clear enough to coordinate work
- the output is ready for a campaign manager review
Examples
- "Turn these launch notes into a content calendar with owners and dates."
- "Build a workback plan from this campaign brief and asset list."
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