campaign-orchestrator
Orchestrate a campaign lifecycle: briefs, budget models, UTMs, post-mortems.
Skill by indranilbanerjee
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/indranilbanerjee-campaign-orchestrator
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: marketing, finance
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/campaign-orchestrator
What's inside
- Skill name
campaign-orchestrator- Description
- Orchestrate a campaign lifecycle: briefs, budget models, UTMs, post-mortems. "set up UTM naming conventions"
- License
- MIT
- Instructions
- 190 lines in SKILL.md · view on GitHub
Files (8)
- SKILL.md
- abm-strategy.md
- budget-allocation.md
- campaign-planning.md
- channel-strategy.md
- post-mortem.md
- sales-enablement.md
- utm-tracking.md
SKILL.md (first lines)
# Campaign Orchestrator
> **Script location.** If your host does not set `${CLAUDE_PLUGIN_ROOT}`, the scripts are in this plugin's `scripts/` folder, next to `skills/`. Run them with Python 3.10 or newer: `python`, or `python3` where `python` is not found (macOS, many Linux systems).
## 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**
- Select the allocation model based on available data:
- **No historical data**: Use 70/20/10 with industry benchmarks
- **Some performance data**: Use efficiency-ranked allocation
- **Mature program with funnel data**: Use funnel-weighted allocation
- Build the budget breakdown by channel, by week/month
- Include production costs (creative, landing pages, tools) in the budget
- Set aside 10-15% contingency for mid-campaign optimization
- Define budget reallocation triggers (e.g., "shift budget from Channel A to B if CPA exceeds $X by week 3")
3. **Channel Strategy & Media Plan**
- Select channels based on audience presence, objective fit, and budget constraints
- For each channel, define:
- Targeting parameters
- Ad formats and placements
- Messaging variation (adapt core message to channel context)
- Budget and schedule
- Expected performance (impressions, clicks, conversions, CPA)
- Sequence touchpoints across channels (awareness channels fire first, retargeting follows)
- Design the cross-channel frequency cap strategy
4. **UTM & Tracking Setup**
- Build the UTM taxonomy for this campaign:
- `utm_source`: Platform (google, facebook, linkedin, email, etc.)
- `utm_medium`: Channel type (cpc, social, email, display, etc.)
- `utm_campaign`: Campaign name (standardized naming convention)
- `utm_term`: Keyword or targeting (for paid search, audience segment)
- `utm_content`: Creative variant (ad-a, ad-b, hero-video, etc.)
- Generate all campaign URLs with UTMs applied
- Verify tracking pixels and conversion events are configured
- Test the full tracking chain before launch
5. **Launch Checklist**
- Creative assets approved and uploaded
- Landing pages live and tested (load speed, mobile, forms, tracking)
- UTM links verified and click-tested
- Conversion tracking confirmed with test conversions
- Budget and schedules set correctly in all platforms
- Team roles and escalation paths defined
- Monitoring dashboard set up with real-time KPIsFrom indranilbanerjee/digital-marketing-pro, MIT.
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Signals
- Stars
- 909
- Forks
- 146
- Open issues
- 0
- Last commit (this folder)
- Oct 11, 2026 (20 days ago)
- Last release
- Jul 29, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Website
- indranil.in
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Show status of every tracked campaign: health, spend, executions, pending approvals.
SkillAFreshness: A★ 909Claude Code +9 - 0.674score
client-report
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Write a white-labeled report for one client from tracked data.
SkillAFreshness: A★ 909Claude Code +9 - 0.674score
analytics-insights
indranilbanerjee
Design the analytics layer with script-backed benchmarks: KPI trees, report templates, MMM, cookieless.
SkillAFreshness: A★ 909Claude Code +9 - 0.674score
budget-tracker
indranilbanerjee
Project ad budget pacing by script from live accounts or given numbers: month-end overspend.
SkillAFreshness: A★ 909Claude Code +9 - 0.674score
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indranilbanerjee
Plan a creative testing roadmap with script-computed sample sizes.
SkillAFreshness: A★ 909Claude Code +9 - 0.674score
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campaign-orchestrator skill. Agent Mart. https://agentmart.dev/skills/indranilbanerjee-campaign-orchestrator (last updated 2026-10-24)