ab-test-plan
Design a statistically rigorous A/B or multivariate test plan — If/Then/Because hypothesis, control and variant specs, required sample size per variant…
Update CRM deals — move stages, change values and close dates, attach notes and activities, create follow-up tasks — with validation against pipeline rules, a before-and-after comparison, and calculated velocity, forecast, and pipeline-health impact. Writes to Salesforce,
$ npx -y skills add indranilbanerjee/digital-marketing-pro --skill pipeline-update --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/pipeline-updateContext preview
The summary Claude sees to decide when to auto-load this skill.
Update CRM deals — move stages, change values and close dates, attach notes and activities, create follow-up tasks — with validation against pipeline rules, a before-and-after comparison, and calculated velocity, forecast, and pipeline-health impact. Writes to Salesforce,
name: pipeline-update description: "Update CRM deals — move stages, change values and close dates, attach notes and activities, create follow-up tasks — with validation against pipeline rules, a before-and-after comparison, and calculated velocity, forecast, and pipeline-health impact. Writes to Salesforce, HubSpot, Zoho, or Pipedrive via the connected CRM MCP only after a mandatory execution gate: an Execution Summary preview plus explicit typed approval, logged through approval-manager.py. Triggers on \"/digital-marketing-pro:pipeline-update\", \"move this deal to negotiation\", \"update the deal value\", \"mark this deal closed-won\", \"which deals are stalled\". Reads the brand profile; pairs with /digital-marketing-pro:lead-import for creating deals and /digital-marketing-pro:executive-dashboard for bulk reporting." disable-model-invocation: false argument-hint: "[deal-name or stage]"
Update deal and opportunity records in the CRM pipeline — move deals between stages, update values, add notes, and track pipeline velocity. Provides a clear before-and-after view of every change and calculates the downstream impact on pipeline metrics, giving both marketing and sales teams visibility into deal progression, forecast accuracy, and revenue pacing against targets. Designed for both individual deal updates and batch stage transitions, with built-in validation to prevent invalid stage skips and mandatory field gaps.
Use this command for pipeline changes that affect deal stage, value, or forecast. For creating new deals from leads, use `/digital-marketing-pro:lead-import` to bring leads into the CRM first, then use this command to manage their pipeline progression. For bulk pipeline reporting without individual updates, use `/digital-marketing-pro:executive-dashboard` instead.
1. Present the full preview — recipients / spend / changes / compliance — as an **Execution Summary** before touching any live system. 2. The user must type `yes` (or an equivalent explicit approval). ANY other input — ambiguous, implied, partial, or absent approval — cancels the run. 3. Never proceed on ambiguous input. Never auto-retry a failed execution; a failure needs human review before any re-run. 4. Record the approval with `python "${CLAUDE_PLUGIN_ROOT}/scripts/approval-manager.py" --brand {slug} --action create-approval --data '{"risk_level":"<tier>","summary":"..."}'` **before** executing, then `python "${CLAUDE_PLUGIN_ROOT}/scripts/approval-manager.py" --brand {slug} --action mark-executed --id {approval_id}` after the platform confirms success.
The user must provide (or will be prompted for):
1. **Load brand context**: Read `~/.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 and relevant category files. 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. 2. **Check connected CRM and pipeline configuration**: Verify CRM connection status, retrieve available pipelines and their stage definitions (includin
Your agency just signed a 50-brand client. The previous agency left no playbook. Three brands are bleeding budget, two have stale positioning, one is launching in a regulated jurisdiction next month. Where do you start?
Repo: indranilbanerjee/digital-marketing-pro
Design a statistically rigorous A/B or multivariate test plan — If/Then/Because hypothesis, control and variant specs, required sample size per variant…
Generate 3-5 ad copy variations per platform — headlines, descriptions, and CTAs formatted to Google, Meta, LinkedIn, TikTok, X, and Pinterest specs — each…
Walk through adding a custom MCP server integration to the plugin — searches npm for an existing MCP package (or scaffolds a custom server from the plugin's…
Audit how a brand appears across the 6 canonical AI answer surfaces — ChatGPT, Perplexity, Google AI Mode, AI Overviews, Gemini, Copilot — probing 10-25…
Strategy module for Answer Engine / Generative Engine Optimization — audits AI visibility, restructures content for citation, runs entity-consistency checks…
Generate a portfolio-level dashboard across ALL client brands — per-client RAG health scores, campaign activity, budget pacing, aggregate KPIs, team…