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.
Evaluate emerging channels such as voice or social commerce with pilot plans.
MITAuto-check passed
Install Emerging Channels
$ npx skills add indranilbanerjee/digital-marketing-pro --skill emerging-channels -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install indranilbanerjee/digital-marketing-pro emerging-channels --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/indranilbanerjee/digital-marketing-pro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/emerging-channels .claude/skills/emerging-channels && 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 "emerging-channels" agent skill from https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/emerging-channels into .claude/skills/emerging-channels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emerging-channels", 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/indranilbanerjee/digital-marketing-pro/tree/main/skills/emerging-channelsType 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 indranilbanerjee/digital-marketing-pro --skill emerging-channels -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install indranilbanerjee/digital-marketing-pro emerging-channels --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/emerging-channels .agents/skills/emerging-channels && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "emerging-channels" agent skill from https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/emerging-channels into .agents/skills/emerging-channels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emerging-channels", 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 indranilbanerjee/digital-marketing-pro --skill emerging-channels -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install indranilbanerjee/digital-marketing-pro emerging-channels --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/emerging-channels .cursor/skills/emerging-channels && 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 "emerging-channels" agent skill from https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/emerging-channels into .cursor/skills/emerging-channels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emerging-channels", 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/indranilbanerjee/digital-marketing-pro.git --path skills/emerging-channels--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 indranilbanerjee/digital-marketing-pro --skill emerging-channels -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install indranilbanerjee/digital-marketing-pro emerging-channels --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/emerging-channels .gemini/skills/emerging-channels && 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 "emerging-channels" agent skill from https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/emerging-channels into .gemini/skills/emerging-channels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emerging-channels", 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 indranilbanerjee/digital-marketing-pro emerging-channelsInstalls 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 indranilbanerjee/digital-marketing-pro --skill emerging-channels -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/emerging-channels .github/skills/emerging-channels && 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 "emerging-channels" agent skill from https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/emerging-channels into .github/skills/emerging-channels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emerging-channels", 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 indranilbanerjee/digital-marketing-pro --skill emerging-channels -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install indranilbanerjee/digital-marketing-pro emerging-channels --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/emerging-channels .opencode/skills/emerging-channels && 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 "emerging-channels" agent skill from https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/emerging-channels into .opencode/skills/emerging-channels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emerging-channels", 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.
Facts
- Skill name
emerging-channels- GitHub stars
- 862
- Used in
- 1 other repo
- Token cost
- ~5.6k tokens
- SKILL.md length
- 2,692 words
- Files
- 10
- Skills in repo
- 162
- Repo updated
- First seen
- Licence
- MIT
At a glance
Evaluate emerging channels such as voice or social commerce with pilot plans.
- Works in 9 steps: Check session context — The active brand… → If you need the full profile, read:… → Apply brand voice — Formality, energy,… → …
- SKILL.md covers When to Use This Skill, Brand Context (Auto-Applied), Required Context and Capabilities, plus 6 more sections
- Calls python
What it does
Emerging Channels is an agent skill from indranilbanerjee/digital-marketing-pro. Evaluate emerging channels such as voice or social commerce with pilot plans. "should we open a TikTok Shop"
Its SKILL.md is about 5.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files (for example `ai-marketing-tools.md`, `community-building.md` and `conversational-commerce.md`).
It works with TikTok. The repository describes itself as: An open-source AI marketing operating system for strategy, SEO, AEO/GEO, paid media, content, CRM, and analytics - grounded in brand context, human approval, and verifiable… The licence is MIT.
Example prompts
- “should we open a TikTok Shop”
- “/emerging-channels”
Requirements
- Python 3
Workflow steps
9 steps, taken from the first numbered list in SKILL.md.
- Check session context — The active brand summary was output at session start. Use the brand name, industry, voice settings, channels…
- If you need the full profile, read: ~/.claude-marketing/brands/{slug}/profile.json
- Apply brand voice — Formality, energy, humor, authority levels must shape all content tone and word choices
- Check compliance — Auto-apply rules for brand's target_markets and industry using skills/context-engine/compliance-rules.md
- Reference industry benchmarks — Consult skills/context-engine/industry-profiles.md for the brand's industry
- Use platform specs — Reference skills/context-engine/platform-specs.md for character limits and format requirements
- Check campaign history — Run python "${CLAUDE_PLUGIN_ROOT}/scripts/campaign-tracker.py" --brand {slug} --action list-campaigns before…
- 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…
- Check brand guidelines — If ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json exists, load and enforce: restrictions.md for…
What it can do on your machine
Read from SKILL.md and the folder at commit 9e949f3. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Emerging Channels loads about 5.6k tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 2,692 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.
Safety
Auto-check passed
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from indranilbanerjee/digital-marketing-pro at commit 9e949f3, republished under its MIT licence (© indranilbanerjee). 2,692 words, ~5,640 tokens.
Download SKILL.mdSave it as
.claude/skills/emerging-channels/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.- name
- emerging-channels
- description
- Evaluate emerging channels such as voice or social commerce with pilot plans. "should we open a TikTok Shop"
Emerging Channels
Script location. If your host does not set
${CLAUDE_PLUGIN_ROOT}, the scripts are in this plugin'sscripts/folder, next toskills/.
Benchmark provenance (as of 2026-08): Dollar figures in this document are planning priors, not quotes — market and auction rates drift continuously. Before any figure enters a media plan, budget, or client deliverable, refresh it live (platform dashboards and current published reports beat memory) and record it with
python scripts/benchmark_book.py --action record ... --source <url>; quote from the book thereafter (--action quote). Never present an unstamped figure as current market fact.
When to Use This Skill
Activate this skill when the user's request involves any of the following:
- Optimizing content for voice search (Alexa, Google Assistant, Siri, smart speakers)
- Preparing for or leveraging visual search (Google Lens, Pinterest Lens, Amazon visual search)
- Building conversational commerce flows (WhatsApp Business, Facebook Messenger, chatbot funnels, SMS marketing)
- Setting up or optimizing social commerce (Instagram Shopping, TikTok Shop, Pinterest Shopping, YouTube Shopping)
- Building, growing, or managing online communities (Discord, Slack, Circle, Facebook Groups, Reddit, forums)
- Planning podcast marketing strategy (branded podcasts, podcast advertising, guest appearances, podcast SEO)
- Developing video marketing strategy across formats and platforms (short-form, mid-form, long-form, live)
- Marketing on newer or underutilized platforms and channels
- Evaluating whether an emerging channel is worth investing in for a specific business
- Understanding platform-specific commerce features and shoppable content
- Designing chatbot conversations and automated messaging funnels
- Building voice applications (Alexa Skills) or surfacing brand content in current Google Assistant/Gemini experiences
- Exploring international messaging platforms (WeChat, LINE, KakaoTalk, Telegram) for commerce
Brand Context (Auto-Applied)
Before producing any marketing output from this module:
- Check session context — The active brand summary was output at session start. Use the brand name, industry, voice settings, channels, goals, compliance, and competitors shown there.
- If you need the full profile, read:
~/.claude-marketing/brands/{slug}/profile.json - Apply brand voice — Formality, energy, humor, authority levels must shape all content tone and word choices
- Check compliance — Auto-apply rules for brand's target_markets and industry using
skills/context-engine/compliance-rules.md - Reference industry benchmarks — Consult
skills/context-engine/industry-profiles.mdfor the brand's industry - Use platform specs — Reference
skills/context-engine/platform-specs.mdfor character limits and format requirements - Check campaign history — Run
python "${CLAUDE_PLUGIN_ROOT}/scripts/campaign-tracker.py" --brand {slug} --action list-campaignsbefore planning new work - 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."
- Check brand guidelines — If
~/.claude-marketing/brands/{slug}/guidelines/_manifest.jsonexists, load and enforce:restrictions.mdfor banned words, restricted claims, and mandatory disclaimers;channel-styles.mdfor channel-specific tone overrides (may differ from base voice);messaging.mdfor approved key messages, taglines, and positioning language;voice-and-tone.mdfor 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, gather the following from the user (ask if not provided):
- Business type: B2B, B2C, D2C, local business, marketplace, SaaS
- Target audience: Demographics, digital behavior, platform preferences, and purchase patterns
- Current channels: Which marketing channels are already active and performing
- Goals: Awareness, engagement, lead generation, direct sales, community building, or content distribution
- Budget and resources: Available investment for new channel experimentation, content production capacity, and team bandwidth
- Product/service: What is being sold and its purchase complexity (impulse vs considered purchase)
- Geography: Target markets, as channel adoption varies significantly by region
- Tech stack: Current ecommerce platform, CRM, marketing automation, and integration capabilities
- Risk tolerance: Willingness to invest in unproven channels vs preference for established channels with clearer ROI
- Timeline: Short-term (testing) vs long-term (building a sustained presence)
Capabilities
Voice Search Optimization
- Query pattern analysis: Voice queries are longer, more conversational, and more question-based than typed queries. Optimize for natural language patterns ("What's the best Italian restaurant near me" vs "Italian restaurant NYC")
- Content structure for voice: Featured snippet optimization, FAQ schema markup, concise answer paragraphs (40-60 words for Google's spoken responses), and position zero targeting
- Speakable schema markup: Implementing structured data that identifies sections of content suitable for text-to-speech playback by voice assistants
- Local voice search: "Near me" query optimization, Google Business Profile completeness, local schema markup, and review volume/recency
- Voice commerce: Voice-initiated purchasing flows, reorder by voice, voice-exclusive promotions, and integration with Amazon Alexa shopping
- Voice app development: When to build Alexa Skills, use cases (brand utilities, content delivery, customer service), and discovery optimization. Google sunset its conversational-actions platform in June 2023 — reach Google Assistant/Gemini users through well-structured web content and schema markup instead of a standalone voice app
Visual Search
- Image optimization for search: Descriptive file names, comprehensive alt text, high-quality images from multiple angles, and consistent image sizing
- Google Lens optimization: Product images that are easily identifiable by visual recognition, unique product design elements, and schema markup for products
- Pinterest Lens strategy: Lifestyle imagery, shoppable pins, visual similarity to trending Pinterest content, and Pinterest SEO
- Structured data for visual search: Product schema, image schema, and video schema that help search engines understand visual content
- Visual search commerce: Enabling "search by photo" on ecommerce sites, visual similarity recommendations, and AR try-on features
- Platform-specific visual search: Amazon visual search, ASOS Style Match, and retailer-specific visual search capabilities
Conversational Commerce
- WhatsApp Business: Catalog setup, automated greetings, quick replies, broadcast lists, WhatsApp Business API for scale, and click-to-WhatsApp ads
- Chatbot funnels: Lead qualification bots, product recommendation bots, customer support bots, appointment booking bots, and cart recovery bots
- Conversation design: Writing chatbot scripts that feel natural, handling edge cases gracefully, knowing when to escalate to human agents, and maintaining brand voice in automated interactions
- SMS marketing: Opt-in compliance (TCPA), message frequency optimization, promotional vs transactional messages, segmentation, and two-way SMS conversations
- Messenger marketing: Facebook Messenger bots, sponsored messages, recurring notifications, and integration with Meta ad campaigns
- International messaging platforms: WeChat Official Accounts and Mini Programs (China), LINE Official Accounts (Japan/SE Asia), KakaoTalk Channels (Korea), Telegram Bots (Eastern Europe/Middle East)
- Conversational AI: Using LLMs for more natural chat interactions, hybrid AI-human support models, and training conversational AI on brand knowledge bases
Social Commerce
- Instagram Shopping: Shop setup, product tagging in posts/Stories/Reels, live shopping, Shopping from Creators, and checkout optimization
- TikTok Shop: Product listing, affiliate marketplace, live shopping events, shoppable videos, and TikTok Shop Ads integration
- Pinterest Shopping: Product pins, catalog integration, shopping Ads, and Pinterest's visual discovery to purchase pipeline
- YouTube Shopping: Product shelves, shopping tags in videos, live shopping, and Shorts shopping integration
- Social storefront optimization: Product descriptions for social context (different from website), social-first imagery, pricing strategy for social buyers
- Live shopping: Platform selection, host preparation, production requirements, engagement tactics, and conversion optimization for real-time selling
- Shoppable content strategy: Integrating commerce into organic content without making every post a sales pitch; editorial-to-commerce ratio guidance
Community Building
- Platform selection: Discord (real-time, younger demographics, gaming/tech), Slack (professional, B2B), Circle (course/membership), Facebook Groups (broad demographics, easy onboarding), Reddit (niche interests, authenticity-focused), brand-owned forums (full control, SEO benefits)
- Community health metrics: Daily/weekly/monthly active members, post frequency, response rate, member-to-member interactions (not just brand-to-member), retention rate, and NPS
- Growth flywheel: Content attracts members, members create content, content attracts more members. Design the initial content and engagement loops that start this flywheel
- Moderation strategy: Community guidelines, moderation team structure (paid moderators, volunteer mods, AI moderation), escalation procedures, and transparency in enforcement
- Community-led growth: Using community as a top-of-funnel acquisition channel, community members as beta testers and product advisors, and community content as marketing content
- Monetization: When and how to monetize (premium tiers, events, courses, marketplace), without destroying community culture
- Community manager role: Skills needed, time commitment, empowerment level, and integration with marketing and product teams
Podcast Marketing
- Branded podcast strategy: When to create a branded podcast (thought leadership, audience building, customer education), format selection (interview, narrative, solo commentary, panel), and production quality tiers
- Podcast advertising: Host-read vs programmatic ads, CPM benchmarks ($18-50 for host-read mid-roll), frequency and reach planning, and attribution methods (vanity URLs, promo codes, pixel-based)
- Guest appearance strategy: Identifying target podcasts, crafting pitches, preparing talking points, and maximizing each appearance with social promotion and backlinks
- Podcast SEO: Show titles, episode titles, show notes optimization, transcript publishing, and distribution across platforms (Apple, Spotify, YouTube, Google)
- Podcast-to-content pipeline: Repurposing podcast episodes into blog posts, social clips, email content, and video snippets to maximize ROI from each recording
- Measurement and attribution: Downloads, listens, completion rates, subscriber growth, and tying podcast exposure to website traffic and conversions
Video Marketing
- Short-form strategy (under 60 seconds): TikTok, Instagram Reels, YouTube Shorts. Hook in first 1-3 seconds, native platform aesthetics, trending audio/formats, high-volume posting cadence (3-7x per week)
- Mid-form strategy (1-10 minutes): Instagram, Facebook, LinkedIn, TikTok. Educational content, product demos, behind-the-scenes, and story-driven content
- Long-form strategy (10+ minutes): YouTube, webinars, course content. Deep-dive tutorials, interviews, documentaries, and thought leadership. YouTube algorithm favors watch time, making longer content advantageous when retention is maintained
- Production tiers: Lo-fi (smartphone, natural lighting, minimal editing -- authentic feel), mid-fi (basic lighting, external mic, simple graphics), and hi-fi (professional production, scripted, studio)
- Video SEO: YouTube title and description optimization, tags, thumbnails (CTR optimization), chapters, cards, end screens, and embedding strategy for website SEO
- Live video: Platform selection (YouTube Live, Instagram Live, TikTok Live, LinkedIn Live, Twitch), preparation checklist, engagement tactics, and repurposing live content
- Video distribution: Platform-native uploads vs cross-posting, platform-specific optimization (aspect ratios, captions, lengths), and distribution scheduling
Process
Show full SKILL.md (1,151 more words)Show less
New Channel Evaluation (Most Common Use Case)
- Audience validation -- Confirm the target audience is active on the channel in question. Check platform demographics, usage data, and competitor presence. Do not invest in a channel because it is trendy; invest because the audience is there.
- Competitive landscape -- Analyze what competitors and adjacent brands are doing on the channel. Identify gaps and opportunities. Determine if there is a first-mover advantage or if the channel is already saturated.
- Resource assessment -- Determine the minimum viable investment (time, budget, content production) required to test the channel meaningfully. Most emerging channels require consistent effort over 3-6 months before yielding reliable data.
- Pilot design -- Create a 90-day pilot plan with specific content cadence, engagement strategy, and success metrics. Define what "success" looks like at the end of the pilot to make a continue/stop/scale decision.
- Content strategy -- Develop channel-specific content that respects platform norms and user expectations. Repurpose existing content where possible, but always adapt to the platform format rather than cross-posting identical content.
- Measurement framework -- Set up tracking for both leading indicators (followers, engagement, reach) and lagging indicators (website traffic, leads, sales) attributed to the channel.
- Execute and learn -- Run the pilot, document what works and what doesn't, adjust the strategy based on data, and make the continue/stop/scale decision at the end of the pilot period.
- Scale or sunset -- If the pilot succeeds, build a sustained strategy with increased resources. If it fails, document the learnings, sunset the effort, and redirect resources.
Social Commerce Setup
- Platform selection -- Choose the social commerce platform(s) based on audience presence, product type, and technical requirements. Visual products thrive on Instagram and Pinterest. Trend-driven products thrive on TikTok. Considered purchases benefit from YouTube.
- Storefront setup -- Configure the platform's shopping features: product catalog upload, collection organization, shipping and return policies, and payment integration.
- Product content optimization -- Create product listings optimized for social context. Social product descriptions should be shorter, more conversational, and benefit-focused compared to website listings. Product images should match the platform's visual style.
- Shoppable content strategy -- Plan the content calendar with a mix of shoppable and non-shoppable content. Aim for a ratio where no more than 30-40% of content is directly shoppable to avoid audience fatigue.
- Live shopping integration -- If applicable, plan live shopping events with hosts, products, and promotional cadence. Schedule during peak audience activity hours.
- Measurement setup -- Configure platform analytics, UTM tracking for external attribution, and revenue tracking per platform and content type.
Reference Files
voice-search.md-- Voice query patterns, content optimization tactics, speakable schema implementation, and voice commerce integration guidesvisual-search.md-- Image optimization checklists, visual search platform guides, structured data templates, and visual commerce implementationconversational-commerce.md-- WhatsApp Business setup, chatbot design frameworks, SMS compliance guides, and conversation flow templatessocial-commerce.md-- Platform-by-platform setup guides, product listing optimization, live shopping playbooks, and social storefront best practicescommunity-building.md-- Platform selection matrices, community launch playbooks, moderation frameworks, health metric dashboards, and growth strategiespodcast-marketing.md-- Branded podcast launch guide, advertising rate benchmarks, guest pitching templates, and podcast SEO checklistsvideo-marketing.md-- Format-by-platform guides, production tier specifications, video SEO checklists, and distribution strategy frameworksweb3-decentralized.md-- Blockchain-based marketing, tokenized loyalty programs, NFT utility campaigns, decentralized social platforms, DAO marketing, and Web3 measurement frameworksai-marketing-tools.md-- AI marketing tool landscape, use-case selection, workflow integration, disclosure requirements, and AI content quality assurance
Output Formats
- Channel evaluation report: Audience fit assessment, competitive analysis, resource requirements, 90-day pilot plan, success metrics, and go/no-go recommendation
- Social commerce plan: Platform selection rationale, storefront setup checklist, content strategy, live shopping calendar, and revenue projections
- Conversational commerce flow: Chatbot conversation map, message templates, escalation rules, and integration specifications
- Community launch plan: Platform selection, launch timeline, initial content plan, moderation guidelines, growth milestones, and health metrics dashboard
- Podcast strategy: Format recommendation, content calendar, production specifications, distribution plan, and measurement framework
- Video content plan: Platform-specific content calendar, production specifications per format, SEO optimization checklist, and distribution schedule
- Voice/visual search audit: Current optimization status, gap analysis, implementation roadmap, and expected impact
Edge Cases
Platform-Restricted Industries
Cannabis, CBD, firearms, adult products, and certain pharmaceutical products cannot advertise on most platforms and face restrictions on social commerce features. For these industries, focus on owned channels (website, email, SMS with compliance), community building on platforms that permit the category, SEO and content marketing, and compliant influencer partnerships. Always verify current platform policies as they change frequently.
B2B Community Building
B2B communities operate differently from B2C. Members join for professional development, networking, and problem-solving rather than brand fandom. Slack and LinkedIn Groups tend to outperform Discord for B2B. Content should be practitioner-focused, not promotional. The community must deliver professional value independent of the product. Moderation is typically lighter but quality standards are higher.
Podcast Measurement Limitations
Podcast attribution remains challenging. Downloads do not equal listens. Listener demographics are estimated, not measured. Cross-device tracking is unreliable. Mitigate by using unique promo codes, vanity URLs, and post-purchase surveys ("How did you hear about us?"). Accept that podcast marketing is often a brand/awareness investment with indirect attribution. Do not hold podcasts to the same direct-response metrics as paid search.
Voice Search for Non-English Languages
Voice search optimization for non-English languages requires language-specific considerations. Natural language patterns, question structures, and colloquial expressions vary by language and dialect. Schema markup should use hreflang tags and language-specific structured data. Voice assistant capabilities and market penetration vary by language and region (Google Assistant vs Alexa vs Siri market share differs significantly by country).
Social Commerce in Non-US Markets
In China, WeChat Mini Programs and Douyin (Chinese TikTok) dominate social commerce with capabilities far beyond Western platforms. In Southeast Asia, LINE and Shopee Live are major channels. In Korea, KakaoTalk commerce is significant. Do not assume Instagram and TikTok Shop are the default everywhere. Research market-specific platforms and behaviors before building a social commerce strategy for international markets.
Community Toxicity Management
Even well-managed communities face toxicity challenges. Build clear community guidelines before launching, not after problems arise. Implement graduated enforcement (warning, temporary mute, temporary ban, permanent ban). Use AI moderation for first-pass filtering combined with human review for context-dependent decisions. Establish an appeals process. Document and respond to patterns (coordinated harassment, hate speech, misinformation) with transparent policy enforcement. Burnout among community managers is a real risk; plan for adequate staffing and rotation.
Related Skills
- SEO -- Voice search and visual search overlap with organic search optimization strategies
- Paid Advertising -- Social commerce ad integrations, TikTok Shop Ads, and click-to-message ad formats
- Content Engine -- Content creation for video, podcast, and community channels
- Influencer & Creator Marketing -- Creator partnerships for social commerce, podcast guesting, and community seeding
- Growth Engineering -- Community-led growth, viral loops through social features, and referral amplification
- CRO -- Conversion optimization for social storefronts, chatbot funnels, and voice commerce flows
- Analytics & Insights -- Measurement and attribution for emerging channels with limited native analytics
Agents Used
- social-media-manager — Platform-native social commerce strategy, community management, content calendar planning, social listening, UGC curation, and cross-platform engagement optimization
© indranilbanerjee, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 9 other files in skills/emerging-channels of indranilbanerjee/digital-marketing-pro.
- SKILL.md
- ai-marketing-tools.md
- community-building.md
- conversational-commerce.md
- podcast-marketing.md
- social-commerce.md
- video-marketing.md
- visual-search.md
- voice-search.md
- web3-decentralized.md
Open the folder on GitHubat commit 9e949f3
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in indranilbanerjee/digital-marketing-pro, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Emerging Channels 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 |
|---|---|---|---|---|---|---|
| Emerging Channels this skillindranilbanerjee/digital-marketing-pro | 862 | 1 repos | ~5.6k | Automated safety check: Pass | MIT | |
| Socialcoreyhaines31/marketingskills | 54k | 4 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT | |
| Social Contentfreekmurze/dotfiles | 1k | 23 repos | ~2.1k | Automated safety check: Pass | None | |
| Video Transcribewendy7756/AI-Video-Transcriber | 3.3k | — | ~937 | Automated safety check: Notes | Apache-2.0 | |
| Last30days CnJesseovo/last30days-skill-cn | 1.9k | — | ~2.4k | Automated safety check: Notes | MIT |
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Transcribe and summarize a video or podcast from a URL (YouTube, TikTok, Bilibili, Apple Podcasts, SoundCloud, 30+ platforms) or from a local media/.txt file.
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Related
Works with
Questions about Emerging Channels
What does Emerging Channels do?
Evaluate emerging channels such as voice or social commerce with pilot plans. Emerging Channels is an agent skill from indranilbanerjee/digital-marketing-pro. Evaluate emerging channels such as voice or social commerce with pilot plans.
How do I install Emerging Channels in Claude Code?
Run `npx skills add indranilbanerjee/digital-marketing-pro --skill emerging-channels -a claude-code`. Or copy the skill folder (skills/emerging-channels in indranilbanerjee/digital-marketing-pro) into .claude/skills/emerging-channels in your project. Claude Code loads it when a task matches its description.
How do I install Emerging Channels in Codex?
Run `npx skills add indranilbanerjee/digital-marketing-pro --skill emerging-channels -a codex`. Or copy the skill folder (skills/emerging-channels in indranilbanerjee/digital-marketing-pro) into .agents/skills/emerging-channels in your project. Codex loads it when a task matches its description.
Can I use Emerging Channels in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add indranilbanerjee/digital-marketing-pro --skill emerging-channels -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/emerging-channels, .gemini/skills/emerging-channels, .github/skills/emerging-channels and .opencode/skills/emerging-channels in your project.
What does Emerging Channels need to run?
Going by SKILL.md and its folder, Emerging Channels needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Emerging Channels access the network?
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.
Is Emerging Channels safe to install?
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. Review the folder before installing.
What licence does Emerging Channels use?
Emerging Channels is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Emerging Channels use?
About 5.6k tokens (SKILL.md is roughly 23k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Emerging Channels?
Skills that share tags, products or a category with Emerging Channels: Social (coreyhaines31/marketingskills, 54k stars), Last30days (mvanhorn/last30days-skill, 64k stars), Social Content (freekmurze/dotfiles, 1k stars) and Video Transcribe (wendy7756/AI-Video-Transcriber, 3.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Emerging Channels?
indranilbanerjee (a GitHub user) maintains it in indranilbanerjee/digital-marketing-pro, which has 862 GitHub stars. The repository holds 162 skills in this directory. The repository was last updated on October 9, 2026.
Source: indranilbanerjee/digital-marketing-pro on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.