status
The /status command generates a comprehensive health report for the active Digital Marketing Pro brand, displaying profile details, engagement metrics, recent insights, compliance violations, and Python dependencies. Use this command at the start of a session or whenever you need to quickly assess which brand elements require attention, such as stale engagements or unresolved violations.
mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/indranilbanerjee/digital-marketing-pro/HEAD/commands/status.md -o ~/.claude/commands/status.mdstatus.md
# /digital-marketing-pro:status — Unified Status Snapshot Prints a complete status snapshot for the active Digital Marketing Pro brand. Wraps `scripts/dm-status.py` and surfaces health indicators that need attention. In v3.0 and earlier, the SessionStart hook ran `setup.py` automatically at every Claude Code session start to print a 15-line brand summary banner across every project. v3.1 removed that hook because it fired globally regardless of context. v3.2 introduces this command as the explicit on-demand replacement, with a richer view than the old banner. ## Quick examples ``` /digital-marketing-pro:status # Full snapshot for active brand /digital-marketing-pro:status --brand acme-corp # Snapshot for a named brand /digital-marketing-pro:status --quiet # One-line compact summary /digital-marketing-pro:status --json # Machine-readable JSON /digital-marketing-pro:status --section engagements # Only the engagements section ``` ## Sections | Section | Contents | |---------|----------| | `brand` | Name, industry, voice, channels, languages, markets, competitors, primary goal | | `engagements` | All engagements with current part, completed/blocked counts, days since update, pending decisions, versioned doc count | | `insights` | Last 5 insights captured + days since last save + total count | | `compliance` | Last 5 compliance violations + count in last 30 days | | `deps` | Python version + mode (knowledge-only / lite / full) + available + missing packages | ## Health indicators surfaced After the snapshot, the skill highlights items that need attention: - Engagements not updated in 14+ days - Engagements with pending re-run decisions awaiting action - Recent compliance violations (last 30 days) - Missing Python dependencies that affect feature availability ## Fast and read-only This command never modifies state. It only reads from existing brand profile, engagement state, insights, and violations files. Safe to run at any time without side effects. ## See also - [skills/status/SKILL.md](../skills/status/SKILL.md) — full skill specification - [scripts/dm-status.py](../scripts/dm-status.py) — the underlying script - [/digital-marketing-pro:brand-setup](brand-setup.md) — create or update a brand profile - [/digital-marketing-pro:engagement status](engagement.md) — engagement-specific deep status
Design a statistically rigorous A/B or multivariate test plan — If/Then/Because hypothesis, control and variant specs, required sample size per variant (absolute vs relative MDE via sample-size-calculator.py), test duration, guardrail metrics, stopping rules, and go/no-go decision criteria. Triggers on \"/digital-marketing-pro:ab-test-plan\", \"set up an A/B test\", \"how long should my test run\", \"calculate sample size for an experiment\", \"is this test result significant\". Reads the brand profile and past campaign-tracker results to avoid re-testing validated hypotheses; finished tests are evaluated with significance-tester.py by the cro-specialist agent.
Generate 3-5 ad copy variations per platform — headlines, descriptions, and CTAs formatted to Google, Meta, LinkedIn, TikTok, X, and Pinterest specs — each scored 1-10 with policy-compliance flags, A/B testing groupings, and a message-match check against the landing page. Triggers on \"/digital-marketing-pro:ad-creative\", \"write ad copy for Meta\", \"give me RSA headline variations\", \"we need LinkedIn ad copy\", \"draft TikTok ad creative\". Reads the brand profile, guidelines, and compliance rules; routes video ad scripts to /digital-marketing-pro:video-script and gates AI-generated visuals for EU campaigns through /digital-marketing-pro:c2pa-metadata and /digital-marketing-pro:check.
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 guide), generates the exact .mcp.json entry, sets up environment-variable credentials, tests connectivity, and documents the tools the new server exposes. Triggers on \"/digital-marketing-pro:add-integration\", \"connect Ahrefs to the plugin\", \"add a new MCP server\", \"integrate our internal API\", \"hook up Stripe data\". Reads the brand profile and agency credential profiles at ~/.claude-marketing/credentials/ to map client-specific keys; custom builds follow skills/context-engine/custom-mcp-guide.md.
Audit how a brand appears across the 6 canonical AI answer surfaces — ChatGPT, Perplexity, Google AI Mode, AI Overviews, Gemini, Copilot — probing 10-25 queries into a numbered output bundle with per-platform visibility scorecards, citation-accuracy checks, a competitor matrix, content gaps, and an optimization playbook behind a four-gate quality scorecard. Triggers on \"/digital-marketing-pro:aeo-audit\", \"does ChatGPT know about our brand\", \"check our AI search visibility\", \"how does Perplexity describe us\", \"are we showing up in AI Overviews\". Reads the brand profile; reconciles probes against GSC actuals via /digital-marketing-pro:gsc-ai-performance and defines the AI-visibility scoring standard reused by geo-monitor and share-of-voice.
Strategy module for Answer Engine / Generative Engine Optimization — audits AI visibility, restructures content for citation, runs entity-consistency checks across Knowledge Graph, Wikidata, Wikipedia, Crunchbase, and LinkedIn, and produces JSON-LD schema specs, monitoring frameworks, and a 90-day LLM content strategy. Triggers on \"/digital-marketing-pro:aeo-geo\", \"how do we get cited by AI\", \"optimize for AI Overviews\", \"fix our entity consistency\", \"do we need llms.txt\". Reads the brand profile, compliance rules, and industry benchmarks; its measurement counterpart is /digital-marketing-pro:aeo-audit, with GSC actuals via /digital-marketing-pro:gsc-ai-performance.
Generate a portfolio-level dashboard across ALL client brands — per-client RAG health scores, campaign activity, budget pacing, aggregate KPIs, team utilization, pending approvals, upcoming deadlines, and an alerts panel — built for agency standups and weekly reviews. Triggers on \"/digital-marketing-pro:agency-dashboard\", \"how are all our clients doing\", \"portfolio health check\", \"budget pacing across accounts\", \"which accounts are at risk\". Enumerates every brand under ~/.claude-marketing/brands/ and pulls data via campaign-tracker.py, execution-tracker.py, and team-manager.py; drill into a single client with /digital-marketing-pro:performance-report or /digital-marketing-pro:client-report.
Invoke when the user needs to manage multiple client brands, view portfolio-level dashboards, generate client reports, manage SOPs, switch credential profiles, assign team tasks, configure regions, or generate executive summaries. Triggers on requests involving multi-client management, agency workflows, client onboarding, or portfolio oversight.
Invoke when the user needs help with marketing measurement, KPI definition, dashboard design, attribution reporting, performance analysis, competitive benchmarking, or translating data into marketing decisions. Triggers on requests involving metrics, reporting, analytics setup, or data interpretation.