Social Media Automation Checklist for Web Development

Model fields like title, summary, thread bullets, CTA, image/video assets, and per-platform constraints to reduce boilerplate and validate inputs in CI. Store schema alongside code for versioned changes and use ajv or similar to enforce it.

Maintain a typed map for character limits, media types, aspect ratios, and alt text requirements for X, LinkedIn, Reddit, YouTube Shorts, and Mastodon. Use this map in validators to prevent publish-time errors and rejections.

Organize images, thumbnails, and clips under a consistent folder strategy with content hash filenames and checksums. This prevents duplication and enables cache hits in build pipelines.

Add metadata fields linking posts to Git commits, issues, and releases so campaign output ties back to product work. This helps with audit trails and outcome reporting by feature area.

Define a UTM convention per platform and campaign, then integrate a link shortener API like Bitly to keep URLs tidy. Validate UTM presence in CI to avoid data gaps in analytics.

Build copy linters that enforce style, emoji usage, code snippet formatting, and prohibited claims. Run them via pre-commit and CI to catch issues early, similar to ESLint for content.

Require alt text for images and caption files for videos in the schema, then fail builds when missing. This improves reach and compliance while preventing last minute fixes.

Write Node scripts that read the schema and render platform-specific captions using Handlebars or EJS templates. Keep templates versioned and testable to ensure stable output.

Use Canvas or ImageMagick to render branded cards with code syntax highlighting and proper safe areas. Enforce platform aspect ratios at build time to avoid cropping issues.

Orchestrate FFmpeg to combine waveform, subtitles, and B-roll with prebuilt presets for 9:16 and 1:1 formats. Validate duration and bitrate to meet platform requirements.

Use local Whisper or an API to generate transcripts, then convert to SRT with profanity filters and speaker labels. Run a diff check to detect missing timestamps or overlaps.

Summarize blog posts into thread bullets and render key code blocks as image cards to avoid platform truncation. Include links to docs and repos for developer context.

Watch Git events and auto-generate content stubs when features merge or milestones close. This keeps the social queue aligned with actual product progress.

Test template output and media assembly with Jest to catch regressions in copy or layout. Snapshot assets alongside text so visual changes are intentional.

Schedule workflows that render variants, run tests, and upload assets to a storage bucket. Keep artifacts immutable with content hashes to support reproducible deployments.

Store platform credentials in GitHub Secrets or Vault and load them at runtime only. Rotate keys regularly and validate missing or expired secrets in CI.

Require human review of content diffs and templates using protected branches. Auto-assign reviewers so risky posts cannot bypass checks.

Align publish times to audience zones, then simulate scheduling windows in staging. Use a single source of truth for calendars to avoid drift across regions.

Send posts through RabbitMQ or a cloud queue with exponential backoff. Use idempotency keys to prevent duplicates when APIs time out.

Mirror publishing to sandbox profiles with test data before promoting to production. A dry-run flag prints API payloads for sanity checks.

Automate deletion or unshare when a post must be reverted, logging who, what, and when. Keep an audit trail for compliance and root cause analysis.

Respect rate limits and use chunked uploads for larger media. Validate text length and alt text before sending to avoid rejected requests.

Support image and video posts with proper visibility settings and UTM links. Handle throttling and policy checks to prevent restricted content.

Target approved subreddits and attach correct flair metadata. Enforce rate limits and cooldowns to avoid shadowbans.

Use the Data API to set category, tags, and language alongside 9:16 videos. Validate duration and generate thumbnails that meet platform guidelines.

Publish with accessibility metadata and CWs where appropriate. Federate correctly by reading instance-specific limits and rules.

Use scheduling tools when a platform lacks first-party publishing APIs. Implement payload validation and monitor webhook responses for failures.

Track per-platform features, limits, and known quirks in a single JSON file. Hook validators to this matrix so rules stay current as APIs change.

Check for 404s, mixed content, and invalid dimensions before queuing. Fail fast to avoid posting broken content to production feeds.

Expose metrics like queue lag, error rates, and publish durations. Alert on anomalies via Slack or email so issues are caught early.

Log request payloads and responses with correlation IDs, then forward exceptions to Sentry for triage. Include idempotency keys to dedupe noise.

Retry transient failures and route persistent errors to a DLQ for manual review. Provide an operator UI to reprocess or discard safely.

Monitor remaining quota per platform and throttle proactively to avoid lockouts. Shift nonurgent tasks to off-peak windows when budgets run low.

Document incident playbooks for common failures and assign responders with PagerDuty or similar. Review outcomes in weekly ops syncs.

Expose a config flag to halt new posts while letting retries drain safely. This prevents cascading failures during platform outages.

Collect metrics from X, LinkedIn, YouTube, and Reddit APIs into BigQuery or Snowflake. Build a canonical model for impressions, clicks, and engagement by post ID.

Visualize engagement alongside releases, issues closed, and PR activity. This helps correlate developer output with social performance.

Gate variants using LaunchDarkly or a custom flag service, then measure outcomes via UTMs. Roll forward winners automatically after significance.

Pipe mentions and messages into GitHub Discussions or Linear with labels for bugs, docs, and feature requests. Triage weekly so insights feed the backlog.

Limit storage of user identifiers and retain only aggregated analytics. Audit access to credentials and data stores quarterly for compliance.

Track changes to platform policies and adjust publishing workflows before deprecations hit. Update the capability matrix when rules change.

After each major campaign, document what failed and what improved and turn fixes into backlog items. Close the loop within one sprint to keep momentum.