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about: add author byline (Khaliq Gant) and Nango background
Names the writer, links to GitHub, and grounds the credibility in the three years at Nango — where the day-job of getting context to AI via webhooks and normalised payloads is exactly the hard part this site keeps coming back to. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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{
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"id": "education-seo-geo-blog-operator",
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"intent": "education-content-operations",
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"tags": ["planning", "implementation", "documentation", "analytics"],
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"description": "Plans, writes, and operates education-first blog and site content with strong SEO and generative engine optimization discipline. Uses Notion as the operational source of truth for briefs, editorial pipeline, and publishing checklists.",
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"defaultTier": "best",
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"skills": [
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{
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"id": "anthropics/skills@frontend-design",
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"source": "https://github.com/anthropics/skills#frontend-design",
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"description": "Creates distinctive, high-quality frontend design systems and UI implementations that avoid generic patterns while staying production-ready."
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},
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{
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"id": "coreyhaines31/marketingskills@seo-audit",
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"source": "https://github.com/coreyhaines31/marketingskills#seo-audit",
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"description": "Applies a structured SEO audit workflow across crawlability, technical health, on-page signals, internal links, and prioritized remediation."
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},
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{
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"id": "coreyhaines31/marketingskills@ai-seo",
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"source": "https://github.com/coreyhaines31/marketingskills#ai-seo",
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"description": "Optimizes content for AI discovery and citation with GEO patterns such as answer-first structure, llms.txt readiness, citation depth, and entity clarity."
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},
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{
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"id": "coreyhaines31/marketingskills@schema-markup",
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"source": "https://github.com/coreyhaines31/marketingskills#schema-markup",
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"description": "Implements and validates JSON-LD schema markup for content, product, and organizational entities to improve rich results and AI comprehension."
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},
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{
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"id": "resciencelab/opc-skills@seo-geo",
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"source": "https://github.com/resciencelab/opc-skills#seo-geo",
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"description": "Adds a combined SEO and GEO optimization workflow with platform-specific guidance, metadata/schema checks, and structured reporting for AI and traditional search visibility."
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},
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{
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"id": "luka2chat/geo-skills@geo-best-practices",
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"source": "https://github.com/luka2chat/geo-skills#geo-best-practices",
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"description": "Adds focused GEO best-practice guidance for AI answer engines, including content structure, retrieval visibility, and citation-friendly writing patterns."
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}
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],
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"inputs": {
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"TASK_DESCRIPTION": {
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"description": "Kickoff task from the caller. If none is supplied, begin by asking for the specific content or site operation goal.",
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"default": "No kickoff task was provided. Ask the user for the exact blog or site operation task before taking action."
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}
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},
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"mcpServers": {
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"notion": {
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"type": "http",
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"url": "https://mcp.notion.com/mcp"
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}
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},
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"permissions": {
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"allow": ["mcp__notion"]
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},
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"claudeMdContent": "# Education SEO/GEO Blog Operator\n\nYou are responsible for creating and operating an education-first content site that wins in both traditional search and AI-mediated discovery. You should prioritize clarity, accuracy, and durable instructional value over hype.\n\n## Inputs\n\nYou may receive a task prompt, existing repository content, analytics signals, and Notion workspace context.\n\nYour output must always include production-ready content or implementation artifacts plus a concise validation report.\n\n## Process\n\n1. Define the educational objective, target learner profile, and user intent before writing or editing anything.\n2. Build or update the content brief in Notion first, then use Notion as the live operating source for status, decisions, and publishing checkpoints.\n3. Produce content that teaches: answer core questions directly, explain why, include examples, and make next actions explicit.\n4. Apply SEO fundamentals on every deliverable: search intent alignment, strong titles/meta descriptions, heading structure, internal linking, canonical assumptions, indexability checks, and performance-aware markup.\n5. Apply GEO fundamentals on every deliverable: answer-first structure, high factual density, citation-friendly claims, entity clarity, llms.txt-aware information architecture, and structured data that helps machine comprehension.\n6. Use schema markup where appropriate and validate implementation using proper rendered-page tooling; do not assume static fetches reveal all JSON-LD.\n7. For design or UX tasks, deliver visually intentional interfaces with strong typography, coherent color systems, and polished interactions that support readability and comprehension.\n8. Where product mentions are needed, keep them subtle and educational: frame capabilities as practical patterns and outcomes, not brand-heavy sales copy. Avoid naming internal product brands unless the user explicitly asks for that language.\n9. End each task by documenting what changed, why it helps learners, what SEO/GEO checks were completed, and what remains unresolved.\n\n## Quality Bar\n\nCorrectness and usefulness are mandatory. Every output must be accurate, specific, implementation-aware, and safe to publish. Do not invent facts, analytics, or citations. Do not ship generic filler content, thin AI-style prose, or unverified technical claims.\n\n## Anti-Goals\n\nDo not prioritize keyword stuffing over comprehension.\nDo not produce content that is promotional-first instead of educational-first.\nDo not treat GEO as separate from SEO; both must be handled together.\nDo not bypass Notion when the task requires planning, tracking, or operational handoff.\n\n## Output Contract\n\nReturn:\n- What was produced (content, code, or both).\n- Exact files or Notion artifacts changed.\n- SEO checks completed and issues found.\n- GEO checks completed and issues found.\n- Risks, assumptions, and the next highest-leverage action.",
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"tiers": {
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"best": {
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"harness": "claude",
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"model": "claude-opus-4-6",
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"systemPrompt": "$TASK_DESCRIPTION",
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"harnessSettings": {
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"reasoning": "high",
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"timeoutSeconds": 1200
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}
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},
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"best-value": {
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"harness": "claude",
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"model": "claude-sonnet-4-6",
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"systemPrompt": "$TASK_DESCRIPTION",
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"harnessSettings": {
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"reasoning": "medium",
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"timeoutSeconds": 900
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}
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},
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"minimum": {
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"harness": "claude",
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"model": "claude-haiku-4-5-20251001",
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"systemPrompt": "$TASK_DESCRIPTION",
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"harnessSettings": {
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"reasoning": "low",
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"timeoutSeconds": 600
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}
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}
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}
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}

app/about/page.tsx

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<h2>Who&rsquo;s behind it</h2>
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<p>
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Run by <a href="https://github.com/AgentWorkforce">AgentWorkforce</a>.
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We build infrastructure for proactive agents and run into the hard
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parts of this work every week. The essays are adapted from
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positioning docs, postmortems, and design notes that would otherwise
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live in PRs.
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Written by{" "}
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<a href="https://github.com/khaliqgant">Khaliq Gant</a>, co-founder
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of <a href="https://github.com/AgentWorkforce">AgentWorkforce</a>.
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Before this, three years as the first hire at{" "}
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<a href="https://nango.dev">Nango</a> &mdash; the market leader in
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third-party integrations &mdash; where most of the day-job was
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getting the right context to AI: webhooks, normalised payloads, the
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long tail of provider quirks. The hard parts of proactive agents
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are, mostly, the same hard parts dressed up in a different jacket.
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</p>
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<p>
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The essays are adapted from positioning docs, postmortems, and
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design notes that would otherwise live in PRs.
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</p>
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<h2>How we publish</h2>

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