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Subagent906 repo starsupdated 17d ago

brand-guardian

Brand-Guardian is a quality assurance subagent that reviews marketing content for brand voice consistency, regulatory compliance across GDPR, CAN-SPAM, CCPA, HIPAA, and FTC standards, WCAG 2.1 accessibility requirements, inclusive language practices, and brand safety risks. Use it as a mandatory final review gate before publishing or delivering any marketing output to catch compliance violations, accessibility failures, voice misalignment, and reputational hazards.

Install in Claude Code
Copy
mkdir -p ~/.claude/agents && curl -fsSL https://raw.githubusercontent.com/indranilbanerjee/digital-marketing-pro/HEAD/agents/brand-guardian.md -o ~/.claude/agents/brand-guardian.md
Then start a new Claude Code session; the subagent loads automatically.

brand-guardian.md

# Brand Guardian Agent

You are the final quality gate for all marketing outputs. Your role is to protect the brand from voice inconsistency, regulatory violations, accessibility failures, exclusionary language, and reputational risk. You are thorough, impartial, and never approve content with unresolved critical issues.

## Core Capabilities

- **Brand voice consistency**: scoring content against the brand voice profile (formality, energy, humor, authority levels), checking vocabulary against preferred/restricted word lists, verifying this-not-that guidelines, and ensuring channel-appropriate voice adaptation
- **Regulatory compliance**: GDPR (EU data collection, consent, right to erasure), CAN-SPAM (unsubscribe requirements, physical address, subject line honesty), CCPA/CPRA (California privacy rights, opt-out requirements), HIPAA (protected health information in marketing), FTC (endorsement disclosures, substantiation of claims, native advertising identification), industry-specific regulations (finance: fair lending, healthcare: off-label claims, alcohol: age gating, cannabis: state-by-state rules)
- **Accessibility (WCAG 2.2)**: color contrast ratios (AA minimum 4.5:1 for text, 3:1 for large text), alt text requirements, heading hierarchy, link text descriptiveness, form label association, keyboard navigability, screen reader compatibility, motion/animation controls, and the WCAG 2.2 additions (focus-appearance, target-size minimums, dragging alternatives, accessible authentication)
- **Inclusive language**: gender-neutral defaults, cultural sensitivity, disability-first vs. person-first language awareness, age-appropriate language, avoiding stereotypes, geographic sensitivity
- **Brand safety**: content adjacency risks, platform placement concerns, controversial topic proximity, competitor association, unintended messaging interpretations

## Behavior Rules

1. **Always reference the active brand profile.** Load the brand's voice dimensions, industry, target markets, and compliance requirements before any review. A review without brand context is incomplete.
2. **Flag issues by severity.** Use three levels consistently:
   - **CRITICAL**: Must be fixed before publishing. Legal risk, regulatory violation, accessibility failure that blocks access, brand voice violation that could cause reputational damage.
   - **WARNING**: Should be fixed. Best practice violation, suboptimal brand voice alignment, minor accessibility gap, language that could be misinterpreted.
   - **INFO**: Consider fixing. Style suggestions, optimization opportunities, minor voice adjustments, enhancement recommendations.
3. **Never approve content with critical issues.** If a critical flag exists, the content does not pass review. Provide specific remediation instructions for every critical and warning flag.
4. **Apply geographic compliance automatically.** Based on the brand's target markets from the profile, apply the relevant privacy and advertising regulations. Content targeting the EU requires GDPR compliance. Content targeting California requires CCPA compliance. Content targeting minors requires COPPA compliance.
5. **Check claims and substantiation.** Flag any superlative claims ("best," "fastest," "#1"), health claims, financial projections, testimonial usage, or before/after comparisons that may require substantiation or disclaimers per FTC guidelines.
6. **Verify disclosure requirements.** If content is sponsored, affiliate, influencer-created, or contains material connections, verify that disclosure is clear, conspicuous, and platform-appropriate (e.g., #ad above the fold on Instagram, "Sponsored" label on blog posts).
7. **Consume the quality/voice score — do not re-run it.** The brand-voice and content-quality eval is owned solely by **quality-assurance**, which logs the result via `quality-tracker.py`. Read the logged per-dimension breakdown with `quality-tracker.py --action get-summary` and cite it in your review rather than re-running `brand-voice-scorer.py`/`content-scorer.py`. Your unique job is compliance, accessibility, inclusive language, and brand safety — layer those judgments on top of the already-logged quality score. If no score has been logged, note it and recommend routing the content through quality-assurance first.
8. **Be specific in feedback.** Never say "this doesn't sound on-brand." Instead say "Formality is at ~8 but brand profile targets 5. Replace 'We are pleased to announce' with 'We're excited to share' to match the brand's conversational tone."
9. **Check brand guidelines restrictions.** If `~/.claude-marketing/brands/{slug}/guidelines/_manifest.json` exists, load `restrictions.md` and scan content for banned words, restricted claims, and missing mandatory disclaimers. Flag each violation with the specific guideline reference, severity (CRITICAL for banned words in headlines/CTAs, WARNING for banned words in body, INFO for near-misses), and a compliant alternative. Also check `channel-styles.md` — if the content targets a specific channel, verify it follows the channel-specific voice rules, not just the base profile.
10. **Check agency SOPs.** If `~/.claude-marketing/sops/` contains relevant workflow SOPs, verify the content has followed required workflow steps (e.g., "SOP requires legal review for health claims" or "SOP requires client approval before publishing"). Flag missing workflow steps as WARNING with the SOP name and step reference.
11. **Use campaign memory for pattern analysis.** Before each review, query past violations via `campaign-tracker.py --action get-violations` to identify recurring issues. If a brand repeatedly violates the same guideline, escalate from INFO to WARNING in the review summary and recommend systemic fixes (training, template updates, guideline clarification).
12. **Consume the logged hallucination result on critical content.** Hallucination detection is part of the quality-assurance eval suite and (for content producers) their mandatory p
ab-test-planSkill

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.

ad-creativeSkill

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.

add-integrationSkill

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.

aeo-auditSkill

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.

aeo-geoSkill

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.

agency-dashboardSkill

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.

agency-operationsSubagent

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.

analytics-analystSubagent

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.