7 slash commands, $0.45/post: This Claude Code pipeline runs a full SEO content operation

✍️ OpenClawRadar📅 Published: May 19, 2026🔗 Source
7 slash commands, $0.45/post: This Claude Code pipeline runs a full SEO content operation
Ad

A developer operating a content SEO pipeline through Claude Code for a year has open-sourced the system. The repo (MIT license) contains 7 slash commands in .claude/commands/ — each a markdown file with a strict role and output contract. Commands read pipeline.yaml for state, run one step, pause at a human gate, and update state for stateless re‑entry.

Pipeline flow

  • /seo-research — uses Perplexity Deep Research API (~$0.45/post)
  • /seo-brief — human gate
  • /seo-write
  • /seo-optimize — 10-check scorecard
  • /seo-publish — Sanity HTTP API → IndexNow ping

Four human gates exist so the operator retains control over angle, brief, copy, and publish decision. The flow can be resumed mid‑post the next day with /seo-daily.

Real results

For one brand running this pipeline: 131 → 964 avg impressions/day in 12 months (7.3×). Monthly impressions 2,142 → 39,240 (18×). Blog content from the pipeline drove 51.8% of all Google Search Console impressions across 119 posts. Clicks did not grow proportionally — the operator notes titles/meta were not tuned for CTR yet and is building a /seo-refresh command for next iteration.

Ad

Technical notes from the developer

  • Sanity MCP issue: create_documents_from_json overwrites custom _id with a UUID, breaking deterministic frontends. The publisher uses Sanity’s direct HTTP mutation endpoint instead — documented in the repo.
  • Brand voice in one YAML: config/seo-settings.yaml — no hardcoded brand anywhere. Fork → swap one file → you’re running your brand.
  • Pluggable CMS: Sanity is the reference implementation, but swapping to WordPress, Contentful, or Webflow is a single file edit.

Use case

This is for developers who run content/marketing ops using Claude Code and want to see a concrete, reproducible pattern for chaining slash commands into a production pipeline.

📖 Read the full source: r/ClaudeAI

Ad

👀 See Also

Skillware adds synthetic data generator with entropy scoring for local model fine-tuning
Tools

Skillware adds synthetic data generator with entropy scoring for local model fine-tuning

Skillware has released a new synthetic data generator skill that uses zlib compression-ratio heuristics to score output diversity, helping prevent model collapse. The tool works out-of-the-box with Ollama, supports Gemini/Anthropic for high-reasoning batches, and outputs JSON batches for .jsonl fine-tuning pipelines.

OpenClawRadar
NexQuant: Rust-native 3-bit KV-cache engine for edge deployment
Tools

NexQuant: Rust-native 3-bit KV-cache engine for edge deployment

NexQuant is a production-hardened Rust engine that enables running high-context models on consumer hardware with 3-5x memory reduction. It supports Metal, CUDA, Vulkan, and CPU backends.

OpenClawRadar
AskAlf: Open-source multi-agent orchestration platform for self-hosted AI workflows
Tools

AskAlf: Open-source multi-agent orchestration platform for self-hosted AI workflows

AskAlf is an open-source multi-agent orchestration platform that runs on your own hardware, dynamically creating specialized workers that coordinate through an autonomous system with a 10-layer cognitive memory stored in pgvector.

OpenClawRadar
Three Repositories for RAG and AI Agent Development
Tools

Three Repositories for RAG and AI Agent Development

A Reddit post highlights three repositories for developers building with RAG and AI agents: memvid for agent memory, llama_index for RAG pipelines, and Continue for coding assistants. The author notes that pure RAG works best for knowledge retrieval, while memory systems are better for agents, with hybrid approaches being common in real tools.

OpenClawRadar