ab-test-plan
FreePlan an A/B test by script: sample size per variant, days to run, stopping rules. "how many visitors per variant"
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Publish a blog post to WordPress or Webflow with SEO metadata, approval-gated. "publish this post to WordPress"
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See how to installReview the instructions the agent will receive before you install.
Script location. If your host does not set
${CLAUDE_PLUGIN_ROOT}, the scripts are in this plugin'sscripts/folder, next toskills/. Run them with Python 3.10 or newer:python, orpython3wherepythonis not found (macOS, many Linux systems).
Publish a fully optimized blog post to the brand's CMS (WordPress or Webflow) with SEO metadata, categories and tags, featured image, and optional scheduling. Includes pre-publish quality checks for content scoring and brand voice alignment, plus post-publish verification to confirm the live URL is accessible and rendering correctly. Designed to be the final step in a content workflow — taking a draft from ready to live with all optimization gates enforced.
yes (or an equivalent explicit approval). ANY other input — ambiguous, implied, partial, or absent approval — cancels the run.yes, record it: python "${CLAUDE_PLUGIN_ROOT}/scripts/approval-manager.py" --brand {slug} --action create-approval --data '{"type":"publish-blog","platform":"<platform>","content_summary":"<one line from the Execution Summary>","risk_level":"<tier>"}', then python "${CLAUDE_PLUGIN_ROOT}/scripts/approval-manager.py" --brand {slug} --action approve --id {approval_id}. If either command errors, stop and report the error; never work around it with another tool. The record proves the approval step ran for this action; it cannot prove who typed yes.connector_executor.py needs --approval-id and fires only against a matching, unused, unexpired record (see /digital-marketing-pro:execute-action). A write through a connected MCP server tool is outside that code check: it relies on this typed yes and on your host's permission prompt. Afterwards run python "${CLAUDE_PLUGIN_ROOT}/scripts/approval-manager.py" --brand {slug} --action mark-executed --id {approval_id} --data '{"execution_result":"success"}' (or failure).The user must provide (or will be prompted for):
~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.content-scorer.py on the blog draft to evaluate readability (Flesch-Kincaid grade), structure (heading hierarchy, paragraph length, list usage), depth (word count vs topic complexity), and engagement potential. Flag any issues that need fixing before publish.brand-voice-scorer.py to verify the content matches the brand's tone, vocabulary, and messaging guidelines. Suggest specific edits if the score falls below the brand's minimum threshold defined in profile.json.skills/context-engine/platform-publishing-specs.md for field mappings, HTML formatting, image handling, category/tag taxonomy IDs, featured image upload, Open Graph meta fields, and any platform-specific quirks like WordPress custom fields or Webflow CMS collection structure.approval-manager.py --action create-approval with the risk level inside the --data JSON — {"type":"publish-blog","platform":"<platform>","content_summary":"...","risk_level":"medium"}. There is no --risk-level flag; see the Execution gate above for the exact command. Generate a pre-publish summary showing title, URL slug, publish time, SEO score, brand voice score, content quality score, categories, tags, featured image preview, and compliance status.execution-tracker.py to log the publish event with timestamp, platform, URL, scores, and categories. Save an insight about the published content — topic, keywords, performance predictions — for future content strategy reference and gap analysis.A structured publish confirmation containing:
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Plan an A/B test by script: sample size per variant, days to run, stopping rules. "how many visitors per variant"
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Write ad copy variants to each platform's specs, policy-checked and in brand voice. "write ad copy for Meta"
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Add a custom MCP integration: scaffold the server, write .mcp.json, test it. "add a new MCP server"
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Run a one-time AEO audit of six AI answer engines, scored per surface. "check our AI search visibility"
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Plan AEO/GEO strategy to get cited by AI: content, entities, schema, 90-day plan. "how do we get cited by AI"
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Build the agency dashboard across all client brands: health, pacing, risk. "how are all our clients doing"
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