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Skill906 estrellas del repoactualizado 16d ago

campaign-orchestrator

Campaign Orchestrator handles the full lifecycle of marketing campaigns, from initial planning through post-launch analysis. Use it to design campaign strategies, allocate budgets across channels, build media plans with timing and spend, set up UTM tracking parameters, coordinate messaging across multiple channels, and conduct post-campaign reviews. The skill automatically applies brand voice, compliance rules, and industry benchmarks when available in your session context.

Instalar en Claude Code
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git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro /tmp/campaign-orchestrator && cp -r /tmp/campaign-orchestrator/skills/campaign-orchestrator ~/.claude/skills/campaign-orchestrator
Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

SKILL.md

# Campaign Orchestrator

## When to Use This Skill

Activate this module when the user's request involves any of the following:

- **Campaign Planning**: Designing a new marketing campaign from brief to launch plan
- **Budget Allocation**: Distributing marketing spend across channels, campaigns, or time periods
- **Channel Mix Optimization**: Selecting and balancing the right marketing channels for a goal
- **Media Planning**: Building a media plan with placements, timing, and spend
- **UTM Tracking**: Standardizing URL tracking parameters for campaign measurement
- **Cross-Channel Orchestration**: Coordinating messaging and timing across multiple channels
- **Campaign Post-Mortem**: Analyzing completed campaigns to extract learnings
- **ABM Campaign Planning**: Designing account-based marketing campaigns for targeted accounts
- **Campaign Calendar**: Building a time-sequenced plan of campaign activities

**Trigger phrases**: "campaign plan," "marketing budget," "budget allocation," "channel mix," "media plan," "UTM," "tracking parameters," "launch campaign," "campaign review," "post-mortem," "what worked," "ABM," "account-based," "media buy," "ad spend," "70/20/10"

## Brand Context (Auto-Applied)

Before producing any marketing output from this module:

1. **Load brand context** — Read `~/.claude-marketing/brands/_active-brand.json` for the active slug, then load `~/.claude-marketing/brands/{slug}/profile.json`. Use the brand name, industry, voice settings, channels, goals, compliance, and competitors from the profile.
2. **Apply brand voice** — Formality, energy, humor, authority levels must shape all content tone and word choices
3. **Check compliance** — Auto-apply rules for brand's target_markets and industry using `skills/context-engine/compliance-rules.md`
4. **Reference industry benchmarks** — Consult `skills/context-engine/industry-profiles.md` for the brand's industry
5. **Use platform specs** — Reference `skills/context-engine/platform-specs.md` for character limits and format requirements
6. **Check campaign history** — Run `python "${CLAUDE_PLUGIN_ROOT}/scripts/campaign-tracker.py" --brand {slug} --action list-campaigns` before planning new work
7. **If no brand exists**, say: "No brand profile found. Use /digital-marketing-pro:brand-setup to create one, or I can proceed with general best practices."
8. **Check brand guidelines** — If `~/.claude-marketing/brands/{slug}/guidelines/_manifest.json` exists, load and enforce: `restrictions.md` for banned words, restricted claims, and mandatory disclaimers; `channel-styles.md` for channel-specific tone overrides (may differ from base voice); `messaging.md` for approved key messages, taglines, and positioning language; `voice-and-tone.md` for detailed voice rules beyond the 4 numeric scores. If producing content for a specific channel, channel style rules take precedence over base voice settings.

Do not ask the user for information that already exists in their brand profile.

## Required Context

Before executing campaign work, gather:

1. **Campaign Objective**: What is the primary goal? (Awareness, lead gen, revenue, retention, product launch, event, etc.)
2. **Budget**: Total available spend and any constraints on allocation
3. **Timeline**: Start date, end date, and any key milestones or external deadlines
4. **Target Audience**: Who is this campaign for? (Link to Audience Intelligence module if personas exist)
5. **Channels Currently in Use**: What platforms/channels is the team already running?
6. **Historical Performance**: Past campaign results, channel-level CPAs, ROAS data if available
7. **Creative Assets**: What exists? What needs to be created?
8. **Tech Stack**: Ad platforms, automation tools, CRM, analytics tools in use
9. **Team Capacity**: Who will execute? In-house team, agency, or hybrid?
10. **Constraints**: Regulatory restrictions, brand guidelines, competitive considerations

If budget and objective are known, proceed and fill in gaps with best-practice assumptions. Always document assumptions.

## Capabilities

- **Campaign Brief Generation**: Structured briefs covering objective, audience, messaging, channels, timeline, budget, KPIs, and creative requirements
- **Budget Allocation Models**: Three proven frameworks:
  - **70/20/10**: 70% proven channels, 20% promising channels, 10% experimental
  - **Efficiency-Ranked**: Allocate by channel CPA/ROAS performance data
  - **Funnel-Weighted**: Distribute budget based on where the funnel needs most investment
- **Channel Mix Optimization**: Data-informed channel selection based on audience, objective, budget, and industry benchmarks
- **UTM Standardization**: Complete UTM taxonomy with naming conventions, URL builder specs, and governance rules
- **Cross-Channel Orchestration**: Sequencing and coordinating touchpoints across channels for cohesive campaign experience
- **Campaign Post-Mortem**: Structured analysis framework covering performance vs. goals, channel contribution, creative performance, audience insights, and actionable learnings
- **ABM Campaign Planning**: Account selection, personalization tiers, multi-channel orchestration for target accounts, and sales-marketing alignment
- **Media Plan Templates**: Detailed plans with placements, formats, targeting, budgets, schedules, and expected performance
- **Campaign Risk Assessment**: Identifying potential failure points and mitigation strategies before launch

## Process

**Primary Workflow: Campaign Planning & Execution**

1. **Campaign Brief Development**
   - Define the SMART objective (Specific, Measurable, Achievable, Relevant, Time-bound)
   - Document the target audience (reference existing personas or build lightweight ones)
   - Craft the core campaign message and value proposition
   - Define the primary CTA and desired conversion action
   - Set primary and secondary KPIs with specific targets
   - Identify the campaign theme/concept if creative direction is needed

2. **Budget Allocation**
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.