closed-loop-analytics-upgrade
Upgrade marketing, content, SEO/AEO/GEO, and revenue skills so changes are judged by platform analytics instead of vibes. Use when applying closed-loop learning to X, YouTube, SEO, AEO/GEO, outbound, paid creative, or revenue workflows.
Works with
--- name: closed-loop-analytics-upgrade description: Upgrade marketing, content, SEO/AEO/GEO, and revenue skills so changes are judged by platform analytics instead of vibes. Use when applying closed-loop learning to X, YouTube, SEO, AEO/GEO, outbound, paid creative, or revenue workflows. license: MIT --- # Closed-Loop Analytics Upgrade ## Principle A workflow is not a closed loop until it checks whether the change worked and updates the playbook from that evidence. For marketing skills, that means pulling analytics after the change window. Manual opinions are useful. Platform truth wins. ## Core pattern 1. **Input**: usage logs, recommendations, shipped changes, platform analytics, owner feedback, and cost/runtime data. 2. **AI action**: compare baseline vs candidate, find repeatable signals, and propose a skill/playbook patch. 3. **Output**: candidate patch to a prompt, skill, connector, brief template, scoring rubric, or next-action rule. 4. **Judgment**: success rate, speed, cost, quality, human correction rate, and actual performance delta. 5. **Self-improvement**: promote only if it beats baseline. Otherwise keep testing, rollback, or mark unproven. ## Analytics by surface ### X/Twitter Track: - impressions - engagement rate - replies - reposts - bookmarks - profile clicks - follower delta - post length - hook style - proof number - CTA type - topic bucket Use for: - title/hook formulas - longform structure - CTA patterns - post timing - topic scoring ### YouTube Track: - impressions - CTR - average view duration - retention curve - watch time - subscribers gained - comments - traffic source - title/thumbnail/hook metadata - video length and topic bucket Use for: - title formulas - thumbnail rules - first-15-second hook - retention beats - chapter structure - Shorts cutdowns - repurposing guidance ### SEO/AEO/GEO Track: - GSC clicks, impressions, CTR, average position, query/page mix - GA4 sessions, engaged sessions, conversions, assisted leads - Ahrefs rankings, backlinks, traffic estimates, keyword movement - ClickFlow opportunities - AI-search / answer-engine visibility where available - CMS/page change log Use for: - content refresh patterns - AEO/GEO opportunity scoring - query/page prioritization - internal linking and schema recommendations - rollback decisions ### Revenue / outbound Track: - HubSpot owner, lead, deal, and pipeline movement - Gong call language, objections, buying signals, and outcomes - Instantly/Smartlead positive replies, booked meetings, unsubscribes, spam risk - Metricool/LinkedIn post performance - GA4/HubSpot attribution Use for: - outbound sequence patches - offer angle scoring - sales follow-up language - content-to-pipeline investment decisions ## Required readback fields Every promoted change needs: - change made - owner - baseline window - candidate window - source systems pulled - primary metric - secondary metrics - metric winner - caveats/confounders - decision: promote / keep testing / rollback / unproven - next patch - next readback date ## Promotion rules Promote when: - the candidate beats baseline on the primary metric, or - the candidate exposes a repeatable audience/customer signal, and - downside metrics are not meaningfully worse. Do not promote when: - volume is too low - attribution is too dirty - the result is explained by seasonality or unrelated campaigns - the connector failed - only the author liked it That last one is harsh but spiritually important. ## Safety boundaries Read-only analytics pulls are fine. External writes still require approval: - posting to X/LinkedIn/YouTube - publishing or editing CMS content - changing ad accounts, bids, budgets, targeting, or creative - mutating CRM/outbound tools - sending emails or DMs - changing credentials or production systems ## Output template ```markdown # Readback: <skill/change> ## Verdict Promote / keep testing / rollback / unproven ## Change tested <what changed> ## Data pulled | Source | Window | Status | |---|---|---| ## Baseline vs candidate | Metric | Baseline | Candidate | Delta | Interpretation | |---|---:|---:|---:|---| ## Caveats <confounders and missing data> ## Patch <what changes in the skill/playbook> ## Next readback <date + metric> ```
More SEO & Marketing skills
ai-video-generation
skills-101/superpowers
Generate AI videos with Google Veo, Seedance 2.0, HappyHorse, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capabilities: text-to-video, image-to-video, reference-to-video, video editing, lipsync, avatar animation, video upscaling, foley sound. Use for: social media videos, marketing content, explainer videos, product demos, AI avatars. Triggers: video generation, ai video, text to video, image to video, veo, animate image, video from image, ai animation, video generator, generate video, t2v, i2v, ai video maker, create video with ai, runway alternative, pika alternative, sora alternative, kling alternative, seedance, happyhorse
ai-image-generation
skills-101/superpowers
Generate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stable diffusion, generate image, ai art, midjourney alternative, dall-e alternative, text2img, t2i, image generator, ai picture, create image with ai, generative ai, ai illustration, grok image, gemini image, gpt image, openai image, chatgpt image
ai-avatar-video
skills-101/superpowers
Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ languages, emotion steering for characters), ElevenLabs, Kokoro. Capabilities: audio-driven avatars, text-to-avatar, lipsync videos, talking head generation, virtual presenters, UGC content. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos, UGC ads, gaming avatars, NPC dialogue. Triggers: ai avatar, talking head, lipsync, avatar video, virtual presenter, ai spokesperson, audio driven video, heygen alternative, synthesia alternative, talking avatar, lip sync, video avatar, ai presenter, digital human, ugc, ugc video, ugc ad, avatar ugc

