Social
coreyhaines31/marketingskills
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.
Central marketing operations hub for MarTech stack, automation, attribution, campaign orchestration, and skill routing.
$ npx skills add borghei/Claude-Skills --skill marketing-ops -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install borghei/Claude-Skills marketing-ops --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/marketing/marketing-ops .claude/skills/marketing-ops && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "marketing-ops" agent skill from https://github.com/borghei/Claude-Skills/tree/main/marketing/marketing-ops into .claude/skills/marketing-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketing-ops", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/borghei/Claude-Skills/tree/main/marketing/marketing-opsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add borghei/Claude-Skills --skill marketing-ops -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install borghei/Claude-Skills marketing-ops --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/marketing/marketing-ops .agents/skills/marketing-ops && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "marketing-ops" agent skill from https://github.com/borghei/Claude-Skills/tree/main/marketing/marketing-ops into .agents/skills/marketing-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketing-ops", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add borghei/Claude-Skills --skill marketing-ops -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install borghei/Claude-Skills marketing-ops --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/marketing/marketing-ops .cursor/skills/marketing-ops && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "marketing-ops" agent skill from https://github.com/borghei/Claude-Skills/tree/main/marketing/marketing-ops into .cursor/skills/marketing-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketing-ops", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/borghei/Claude-Skills.git --path marketing/marketing-ops--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add borghei/Claude-Skills --skill marketing-ops -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install borghei/Claude-Skills marketing-ops --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/marketing/marketing-ops .gemini/skills/marketing-ops && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "marketing-ops" agent skill from https://github.com/borghei/Claude-Skills/tree/main/marketing/marketing-ops into .gemini/skills/marketing-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketing-ops", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install borghei/Claude-Skills marketing-opsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add borghei/Claude-Skills --skill marketing-ops -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/marketing/marketing-ops .github/skills/marketing-ops && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "marketing-ops" agent skill from https://github.com/borghei/Claude-Skills/tree/main/marketing/marketing-ops into .github/skills/marketing-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketing-ops", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add borghei/Claude-Skills --skill marketing-ops -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install borghei/Claude-Skills marketing-ops --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/marketing/marketing-ops .opencode/skills/marketing-ops && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "marketing-ops" agent skill from https://github.com/borghei/Claude-Skills/tree/main/marketing/marketing-ops into .opencode/skills/marketing-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketing-ops", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
marketing-opsCentral marketing operations hub for MarTech stack, automation, attribution, campaign orchestration, and skill routing.
Marketing Ops is an agent skill from borghei/Claude-Skills. Central marketing operations hub for MarTech stack, automation, attribution, campaign orchestration, and skill routing. Use when routing marketing questions, orchestrating multi-skill campaigns, or managing the MarTech stack and automation.
Its SKILL.md is about 5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/campaign_budget_allocator.py`, `scripts/lead_scoring_simulator.py` and `scripts/martech_stack_auditor.py`).
It sits in Writing & Content. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 4a698e8. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Marketing Ops loads about 5k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 2,060 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from borghei/Claude-Skills at commit 4a698e8, republished under its MIT licence (© borghei). 2,060 words, ~5,032 tokens.
.claude/skills/marketing-ops/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Central command for marketing operations — routing questions, orchestrating campaigns, managing MarTech, and coordinating across all marketing functions.
marketing ops, marketing operations, MarTech stack, marketing automation, campaign orchestration, skill routing, marketing coordination, data management, attribution, marketing technology, campaign management, workflow automation, lead management, marketing analytics, marketing infrastructure, CRM integration, email automation, lead scoring
| User Says | Route To | Not This |
|---|---|---|
| "Write a blog post," "content ideas," "what should I write" | Content Strategy | Not Copywriting (that is for page copy) |
| "Write copy for my homepage," "landing page copy," "headline" | Copywriting | Not Content Strategy (that is for planning) |
| "Edit this copy," "proofread," "polish this" | Copy Editing | Not Copywriting (that is for writing new) |
| "Social media post," "LinkedIn post," "tweet" | Social Content | Not Content Strategy (that is for planning) |
| "Write an article end-to-end," "content production" | Content Production | Not Content Strategy (production has the full pipeline) |
| "Sounds too robotic," "make it human," "AI watermarks" | Content Humanizer | Not Copy Editing (that is for editorial quality) |
| "Marketing ideas," "brainstorm," "what else can I try" | Marketing Ideas | Not Content Strategy (that is for content specifically) |
| User Says | Route To | Not This |
|---|---|---|
| "SEO audit," "technical SEO," "on-page SEO" | SEO Specialist | Not AI SEO (that is for AI search engines) |
| "AI search," "ChatGPT visibility," "Perplexity," "GEO" | AI SEO | Not SEO Specialist (that is traditional SEO) |
| User Says | Route To | Not This |
|---|---|---|
| "Landing page," "campaign page," "lead capture page" | Landing Page Generator | Not Copywriting (generator includes structure + copy) |
| "Brand guidelines," "style guide," "brand voice" | Brand Guidelines | Not Marketing Context (guidelines are implementation) |
| User Says | Route To | Not This |
|---|---|---|
| "Paid ads," "Google Ads," "Meta ads," "ad campaign" | Paid Ads | Not Ad Creative (that is for copy, not strategy) |
| "Ad copy," "ad headlines," "ad variations," "RSA" | Ad Creative | Not Paid Ads (that is for campaign strategy) |
| "Cold email," "outreach," "prospecting email" | Cold Email | Not Content Production (cold email has different rules) |
| User Says | Route To | Not This |
|---|---|---|
| "Marketing context," "who is my customer," "ICP" | Marketing Context | Set up before other skills |
| "Marketing strategy," "how to market" | Marketing Ideas | Not Marketing Ops (ops is for execution routing) |
| "Psychology," "persuasion," "why people buy" | Marketing Psychology | Not Copywriting (psychology is the theory layer) |
Sequence:
1. Marketing Context (verify foundation exists)
2. Content Strategy (plan launch content)
3. Copywriting (write landing page and email copy)
4. Landing Page Generator (build the conversion page)
5. Ad Creative (create ad copy for paid promotion)
6. Paid Ads (set up campaign targeting and budget)
7. Social Content (create organic social posts)
8. Cold Email (targeted outreach to prospects)
9. Campaign Analytics (measure results)Sequence:
1. Content Strategy (plan topics and calendar)
2. Content Production (research, write, optimize each piece)
3. Content Humanizer (polish for natural voice)
4. AI SEO (optimize for AI search citation)
5. Social Content (distribute across platforms)
6. Campaign Analytics (track performance)Sequence:
1. Marketing Context (verify ICP and messaging)
2. Landing Page Generator (build conversion pages)
3. Ad Creative (generate ad variations)
4. Paid Ads (launch campaigns)
5. Cold Email (parallel outbound effort)
6. Campaign Analytics (measure and optimize)Sequence:
1. Marketing Context (define brand foundation)
2. Brand Guidelines (establish visual and verbal standards)
3. Content Strategy (plan thought leadership content)
4. Social Content (build social presence)
5. Content Production (create pillar content)
6. Campaign Analytics (measure reach and engagement)Sequence:
1. Marketing Psychology (identify behavioral levers)
2. Copy Editing (audit existing page copy)
3. Copywriting (rewrite underperforming sections)
4. Landing Page Generator (redesign conversion pages)
5. Campaign Analytics (set up A/B tests and track results)| Category | Purpose | Common Tools | Integration Priority |
|---|---|---|---|
| CRM | Customer data management | Salesforce, HubSpot, Pipedrive | Critical |
| Marketing Automation | Email, workflows, scoring | HubSpot, Marketo, ActiveCampaign | Critical |
| Analytics | Traffic and behavior tracking | GA4, Mixpanel, Amplitude | Critical |
| Email Platform | Email sending and deliverability | SendGrid, Mailchimp, Customer.io | Critical |
| Ad Platforms | Paid advertising | Google Ads, Meta Ads, LinkedIn Ads | High |
| SEO Tools | Keyword research and tracking | Ahrefs, SEMrush, Moz | High |
| Social Management | Publishing and scheduling | Buffer, Hootsuite, Sprout Social | Medium |
| Content Management | Content creation and hosting | WordPress, Webflow, Ghost | High |
| Attribution | Multi-touch attribution | Attribution App, Dreamdata | Medium |
| ABM | Account-based marketing | Demandbase, 6sense, Terminus | Medium (B2B) |
When evaluating new tools:
| Criterion | Weight | Scoring |
|---|---|---|
| Does it solve a validated problem? | 30% | Clear need (3), Nice to have (2), Speculative (1) |
| Does it integrate with existing stack? | 25% | Native integration (3), API available (2), Manual export (1) |
| Total cost of ownership | 20% | Under budget (3), At budget (2), Over budget (1) |
| Time to value | 15% | Under 1 week (3), 1-4 weeks (2), 4+ weeks (1) |
| Team capability to use it | 10% | Self-serve (3), Training needed (2), Expert required (1) |
Rule: Never add a tool that does not integrate with your CRM. Disconnected data is worse than no data.
| Automation | Impact | Complexity | Build First |
|---|---|---|---|
| Welcome/onboarding email sequence | High | Low | Yes |
| Lead scoring | High | Medium | Yes |
| Abandoned cart/trial follow-up | High | Low | Yes |
| Event-triggered emails (usage milestones) | High | Medium | Second priority |
| Lead routing to sales | High | Low | Yes |
| Social media scheduling | Medium | Low | Second priority |
| Reporting dashboards | Medium | Medium | Second priority |
| Content personalization | Medium | High | Third priority |
| Predictive lead scoring | Medium | High | Third priority |
| Dynamic content insertion | Low-Medium | High | Later |
| Signal Type | Examples | Score |
|---|---|---|
| Demographic fit | Matches ICP (title, company size, industry) | +10 to +25 |
| Behavioral - high intent | Visited pricing page, requested demo, viewed case study | +15 to +25 |
| Behavioral - engagement | Opened 3+ emails, downloaded content, attended webinar | +5 to +15 |
| Behavioral - product | Used free trial, reached activation milestone | +20 to +30 |
| Negative signals | Competitor employee, student email, unsubscribed | -10 to -50 |
Lead score thresholds:
| Sequence | Trigger | Emails | Duration |
|---|---|---|---|
| Welcome | New signup | 5-7 | 14 days |
| Onboarding | Started trial | 4-6 | 14 days |
| Re-engagement | Inactive 30 days | 3-4 | 21 days |
| Win-back | Churned | 3-5 | 30 days |
| Nurture | Downloaded content | 5-7 | 45 days |
| Upsell | Reached plan limit | 2-3 | 7 days |
| Referral | 90 days active + high NPS | 2 | 7 days |
| Dimension | Definition | How to Measure |
|---|---|---|
| Completeness | Required fields are filled | % of records with complete required fields |
| Accuracy | Data matches reality | Sample audit against source of truth |
| Consistency | Same data, same format everywhere | Cross-system comparison |
| Timeliness | Data is current | % of records updated within defined freshness window |
| Uniqueness | No duplicate records | Duplicate rate in CRM |
| Task | Frequency | Owner |
|---|---|---|
| Deduplicate CRM records | Monthly | Marketing Ops |
| Verify email addresses | Before every campaign | Marketing Ops |
| Update firmographic data | Quarterly | Marketing Ops |
| Clean inactive contacts | Quarterly | Marketing Ops |
| Audit UTM parameter consistency | Monthly | Marketing Ops |
| Review lead scoring accuracy | Quarterly | Marketing + Sales |
| Sync CRM with marketing automation | Continuous (automated) | System |
Consistent UTM tagging is foundational for attribution:
utm_source: [platform] — google, linkedin, facebook, email, partner-name
utm_medium: [channel type] — cpc, organic, email, social, referral
utm_campaign: [campaign name] — product-launch-q1, blog-promo-march
utm_content: [variant] — headline-a, cta-blue, audience-cmo
utm_term: [keyword] — for paid search onlyRules:
| Model | How It Works | Best For | Limitation |
|---|---|---|---|
| First-touch | 100% credit to first interaction | Understanding acquisition channels | Ignores nurture touchpoints |
| Last-touch | 100% credit to final interaction | Understanding conversion triggers | Ignores awareness touchpoints |
| Linear | Equal credit to all touchpoints | Simple multi-touch understanding | Treats all touches equally |
| Time-decay | More credit to recent touchpoints | Long sales cycles | May undervalue awareness |
| Position-based (U-shaped) | 40% first, 40% last, 20% middle | Balanced view | Arbitrary weighting |
| Data-driven | ML-based weighting | Sophisticated programs | Requires large data volume |
| Area | What to Assess | Key Questions |
|---|---|---|
| Strategy | Positioning, ICP, messaging | Is our positioning differentiated? Do we know our ICP? |
| Content | Quality, quantity, performance | Is content driving traffic and conversions? |
| SEO | Rankings, technical health, content gaps | Are we visible for target keywords? |
| Paid | ROAS, CPA, channel mix | Are paid campaigns profitable? |
| List health, engagement, automation | Are sequences driving conversions? | |
| Social | Reach, engagement, brand consistency | Are we building audience and trust? |
| MarTech | Stack utilization, integration health | Are our tools connected and used? |
| Data | Quality, attribution, reporting | Can we trust our data and attribution? |
For each area, score 1-5:
| Score | Status | Action |
|---|---|---|
| 1 | Not present | Build from scratch |
| 2 | Basic but underperforming | Significant improvement needed |
| 3 | Functional | Optimize and iterate |
| 4 | Strong | Maintain and scale |
| 5 | Best-in-class | Protect and document |
Context first, always — Check that marketing context exists before any marketing work. Everything works better with context.
Route precisely — A question routed to the wrong skill produces wrong-shaped output. Use the routing matrix.
Orchestrate, do not fragment — Multi-skill campaigns need a sequence plan. Ad hoc execution produces inconsistent results.
Own the data — Marketing ops is responsible for data quality. Bad data produces bad decisions.
Standardize UTMs — Inconsistent UTM parameters make attribution impossible. Enforce standards before launching campaigns.
Audit tools annually — Every tool should justify its cost and usage. Cut tools nobody uses.
Automate the repeatable — If you do it every week, automate it. Manual processes do not scale.
Document everything — Campaign playbooks, automation logic, data flows, tool configurations. Tribal knowledge is fragile.
Align with sales — Marketing ops and sales ops must share data definitions, lead scoring criteria, and attribution models.
Measure what matters — Track leading indicators (MQLs, pipeline velocity) alongside lagging indicators (revenue, ROI).
| Symptom | Likely Cause | Resolution |
|---|---|---|
| Marketing and sales disagree on lead quality | Lead scoring thresholds not aligned or model not validated against outcomes | Run lead_scoring_simulator.py with historical data; validate that high-scored leads convert at 2x+ the rate of low-scored |
| MarTech stack costs growing 20%+ YoY without proportional ROI | Tool proliferation without consolidation; unused tools not audited | Run martech_stack_auditor.py quarterly; cut tools with <30% utilization; consolidate overlapping categories |
| Campaign data siloed across platforms, attribution impossible | No unified UTM standard; tools not integrated through CRM | Standardize UTM parameters (lowercase, hyphens, documented registry); require CRM integration for every tool |
| Lead routing to sales takes >24 hours | Manual handoff process; no automation between marketing automation and CRM | Implement automated lead routing rules; route hot leads (76+ score) within 15 minutes |
| Email deliverability dropping below 90% | List hygiene not maintained; bounced/inactive contacts not cleaned | Deduplicate monthly; verify addresses before campaigns; clean inactive contacts quarterly |
| Budget spent evenly across channels regardless of performance | No performance-based allocation framework in place | Use campaign_budget_allocator.py with historical ROAS data; shift budget quarterly toward highest performers |
| Multi-skill campaigns produce inconsistent messaging | No orchestration sequence defined; skills executed ad hoc | Follow campaign orchestration templates; always start with marketing context verification |
In Scope: Skill routing and orchestration, campaign sequencing, MarTech stack management and auditing, marketing automation (email sequences, lead scoring, lead routing), data quality management, UTM standardization, attribution framework setup, marketing audit methodology, budget allocation.
Out of Scope: Individual channel execution (see channel-specific skills), analytics implementation (see analytics-tracking skill), content creation (see content-creator skill), sales operations and CRM administration (sales ops function).
Limitations: Marketing ops is the coordination layer, not the execution layer. Tool auditing uses self-reported utilization data; actual usage may differ. Lead scoring models require minimum 50+ historical conversions for meaningful validation. Budget allocation assumes linear channel scaling; real channels have diminishing returns.
| Script | Purpose | Usage |
|---|---|---|
scripts/martech_stack_auditor.py | Audit MarTech stack for gaps, redundancies, and optimization opportunities | python scripts/martech_stack_auditor.py stack.json --demo |
scripts/campaign_budget_allocator.py | Allocate marketing budget across campaigns by priority and performance | python scripts/campaign_budget_allocator.py campaigns.json --budget 100000 --strategy balanced |
scripts/lead_scoring_simulator.py | Simulate and validate lead scoring models against actual outcomes | python scripts/lead_scoring_simulator.py leads.json --demo |
© borghei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (scripts) in marketing/marketing-ops of borghei/Claude-Skills.
Open the folder on GitHubat commit 4a698e8
Marketing Ops next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Marketing Ops this skillborghei/Claude-Skills | 886 | — | ~5k | Automated safety check: Pass | MIT | |
| Socialcoreyhaines31/marketingskills | 54k | 4 repos | ~4.5k | Automated safety check: Pass | MIT | |
| WeChat Hot Article AnalysisSpaceZephyr/creator-buddy | 1.6k | — | ~847 | Automated safety check: Pass | None | |
| Brand Voice Content Creatordavila7/claude-code-templates | 32k | 3 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Benchmark Account ImporterXBuilderLAB/cheat-on-content | 7.2k | — | ~2.3k | Automated safety check: Notes | MIT | |
| WeChat Account Topic and Title WriterBigPengSays/bigpeng-hot-gzh | 265 | — | ~501 | Automated safety check: Pass | MIT |
coreyhaines31/marketingskills
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.
SpaceZephyr/creator-buddy
Fetches hot WeChat Official Account articles by sector or keywords and produces a data file and an HTML report with rankings, style patterns and writing references.
davila7/claude-code-templates
Analyzes a brand's existing writing to lock in a consistent voice, then builds SEO blog posts and platform-specific social content around it.
XBuilderLAB/cheat-on-content
Imports scripts and engagement numbers from an account you want to emulate, then extracts content patterns and starting scoring signals from them.
BigPengSays/bigpeng-hot-gzh
Produces topic directions and candidate headlines for WeChat official account articles using seven title formulas, without writing the article itself.
AgriciDaniel/claude-email
Generate comprehensive email marketing strategy with 90-day implementation roadmap.
borghei/Claude-Skills
Test and evaluation harness for AI agents — scenario suites, deterministic replay, regression diffing, cost and latency budgets.
borghei/Claude-Skills
Run delivery when AI coding and ops agents take tickets. An agent skill from borghei/Claude-Skills.
borghei/Claude-Skills
Check AI-generated marketing content and reviews for required disclosures under the EU AI Act, FTC rules and platform AI-label policies.
borghei/Claude-Skills
Idea to AI-generated prototype to customer validation to engineering handoff.
borghei/Claude-Skills
Analytics engineering across data modeling, dbt, transformation, and semantic layers.
borghei/Claude-Skills
Ansoff Matrix — 4-quadrant framework for growth options: market penetration, market/product development, and diversification.
Categories
Central marketing operations hub for MarTech stack, automation, attribution, campaign orchestration, and skill routing. Marketing Ops is an agent skill from borghei/Claude-Skills. Central marketing operations hub for MarTech stack, automation, attribution, campaign orchestration, and skill routing.
Marketing Ops fits situations like: routing marketing questions; orchestrating multi-skill campaigns; managing the MarTech stack and automation.
Run `npx skills add borghei/Claude-Skills --skill marketing-ops -a claude-code`. Or copy the skill folder (marketing/marketing-ops in borghei/Claude-Skills) into .claude/skills/marketing-ops in your project. Claude Code loads it when a task matches its description.
Run `npx skills add borghei/Claude-Skills --skill marketing-ops -a codex`. Or copy the skill folder (marketing/marketing-ops in borghei/Claude-Skills) into .agents/skills/marketing-ops in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add borghei/Claude-Skills --skill marketing-ops -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/marketing-ops, .gemini/skills/marketing-ops, .github/skills/marketing-ops and .opencode/skills/marketing-ops in your project.
Going by SKILL.md and its folder, Marketing Ops needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Marketing Ops is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 5k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Marketing Ops: Social (coreyhaines31/marketingskills, 54k stars), WeChat Hot Article Analysis (SpaceZephyr/creator-buddy, 1.6k stars), Brand Voice Content Creator (davila7/claude-code-templates, 32k stars) and Benchmark Account Importer (XBuilderLAB/cheat-on-content, 7.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 886 GitHub stars. The repository holds 354 skills in this directory. The repository was last updated on October 7, 2026.
Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.