Blog Cluster (Semantic Topic Cluster Engine)

Bundled paths below use host Markdown substitution of ${CLAUDE_SKILL_DIR}; it is not an exported shell variable. Resolve them before execution, quote paths, and refuse nonabsolute overrides. Pass blog_reference_root resolved from ${CLAUDE_SKILL_DIR}/../blog/references, blog_template_root from ${CLAUDE_SKILL_DIR}/../blog/templates, and needed sibling roots to agents. Read the main reference orchestration-details.md before loading project context; pass only its helper-fenced output to downstream agents.

Plans and executes entire interlinked content ecosystems from a single seed keyword. Three layers: Semantic Clustering (the brain), Cluster Architecture (the structure), and Execution Engine (the machine).

Adapted from the semantic-cluster-engine submission by Lutfiya Miller (winner, AI Marketing Hub Pro Challenge, March 2026, 95/100 Exemplary). Original repository: no longer available as of 2026-10-12 This port keeps the Plan + Execute architecture and the cluster context innovation, removes brand-specific (ScienceExperts.ai) styling and image prompts, and routes through claude-blog's existing sub-skills.

Commands

Key references (load on demand)

• ${CLAUDE_SKILL_DIR}/references/semantic-clustering.md (SERP overlap analysis, intent classification, keyword universe expansion)
• ${CLAUDE_SKILL_DIR}/references/cluster-architecture.md (hub-and-spoke specs, schema strategy, link-density rules)
• ${CLAUDE_SKILL_DIR}/references/execution-workflow.md (execution order, context injection, scorecard, failure handling)

Cross-references to existing claude-blog skills

This skill never modifies files belonging to other skills. It calls them via the Task tool or as orchestrated sub-skills.

Command Routing

1. Parse the user's command to determine the sub-command.
2. If the user typed only /blog cluster, ask: "Would you like to plan a new cluster or execute an existing plan?"
3. Route:

• plan <keyword> to the Plan Phase (below)
• plan --from strategy [path] to the Strategy Import flow (below)
• execute [path], build, or run to the Execute Phase (below)

Plan Phase: /blog cluster plan <seed-keyword>

Reference: ${CLAUDE_SKILL_DIR}/references/semantic-clustering.md

Step 1. Seed keyword expansion

Use WebSearch to expand the seed into a keyword universe of 30 to 50 phrases:

1. Direct search of <seed> to capture related searches and "People also ask".
2. Long-tail expansion: <seed> guide, <seed> tips, <seed> tools, <seed> examples, <seed> vs, best <seed>, how to <seed>.
3. Question mining: what is <seed>, how does <seed> work, why <seed>, <seed> for beginners.
4. Intent variants: add commercial modifiers (best, top, review, comparison, pricing), informational modifiers (guide, tutorial, explained, examples), and transactional modifiers (buy, download, tool, software, service).
5. Year freshness: <seed> <current year>. Take the current year from the system date; never hard-code a year.

Step 2. Semantic clustering

Group the expanded keywords using the priority rules in ${CLAUDE_SKILL_DIR}/references/semantic-clustering.md:

1. SERP Overlap Analysis is the primary signal. Two keywords with 4 or more shared top-10 results usually target the same intent and should be considered for one post.
2. Intent Classification assigns each keyword to informational, commercial, transactional, or navigational.
3. Entity Mapping identifies the people, products, frameworks, and organizations Google associates with the topic.
4. Grouping combines keywords that share intent and topical proximity. Each group becomes one branch of the hub and spoke.

Step 3. Cluster architecture design

Reference: ${CLAUDE_SKILL_DIR}/references/cluster-architecture.md

Build the hub and spoke:

• Pillar (hub): targets the broadest keyword. Word count 2,500 to 4,000. Template pillar-page. Links down to every spoke.
• Spokes: each targets a long-tail cluster. Word count 1,200 to 1,800. Template auto-selected by intent. Links up to the pillar and across to siblings.

Cluster formation rules:

• Normal mode: 2 to 5 clusters per pillar, 2 to 4 spokes per cluster, total 1 pillar plus 5 to 15 spokes.
• Small-cluster mode: for narrow seeds, allow 1 pillar plus 2 to 4 spokes only after warning the user and asking for confirmation.
• Every spoke targets a unique primary keyword (zero cannibalization).

Step 4. Internal link matrix

For each spoke S:

• S to Pillar (always; anchor text uses the pillar's primary keyword).
• Pillar to S (always; anchor text uses S's primary keyword).
• S to other spokes in the same cluster (2 to 3 links each, contextual anchors).
• S to spokes in adjacent clusters (0 to 1 links, only when semantically relevant).

Verify every spoke has at least 2 incoming links. Count total planned interlinks.

Step 5. Generate output files

All plan and execute artifacts go into a single subdirectory of the current working directory. Canonicalize the output directory, refuse symlinks, and reject writes outside the cluster directory. Slugs must match lowercase letters, numbers, and hyphens only; reject absolute paths, .., path separators inside slugs, and hidden control characters.

<cwd>/
└── cluster-<seed-keyword-slug>/
    ├── cluster-plan.json
    ├── cluster-map.html
    ├── pillar-<slug>.md       (Execute Phase)
    ├── <spoke-slug>.md        (Execute Phase, one per spoke)
    └── cluster-scorecard.md   (Execute Phase)

#### cluster-plan.json schema

{
  "seed_keyword": "<seed>",
  "generated_at": "YYYY-MM-DDTHH:MM:SSZ",
  "pillar": {
    "id": "P",
    "title": "Title of the pillar",
    "primary_keyword": "broadest keyword",
    "secondary_keywords": ["..."],
    "search_volume_estimate": "high|medium|low",
    "template": "pillar-page",
    "word_count_target": 3000,
    "cluster": "pillar"
  },
  "clusters": [
    {
      "name": "Cluster A: Theme",
      "intent": "informational|commercial|transactional",
      "color": "#2563eb",
      "posts": [
        {
          "id": "A1",
          "title": "Post title",
          "primary_keyword": "long-tail keyword",
          "secondary_keywords": ["..."],
          "search_volume_estimate": "high|medium|low",
          "template": "how-to-guide",
          "word_count_target": 1500,
          "links_to": ["P", "A2"],
          "links_from": ["P", "A2"]
        }
      ]
    }
  ],
  "total_posts": 9,
  "total_interlinks": 23,
  "estimated_total_words": 18000
}

Note: volume estimates are relative indicators (high, medium, low) derived from SERP signals, not absolute search volumes. For precise data, the user should consult Ahrefs, SEMrush, or DataForSEO (claude-blog provides the seo-dataforseo companion sibling).

#### cluster-map.html (XSS-safe)

A static, self-contained HTML file with an embedded SVG visualization. Hard rules for the writer:

• No inline <script> blocks. No onclick, onmouseover, or any on* event attributes anywhere in the document.
• No external script <src> references.
• Every text label drawn into the SVG (titles, keywords, cluster names) must be escaped: replace & with &, < with <, > with >, " with ", and ' with ' before insertion.
• Hover effects use CSS :hover only. No JavaScript.
• Use <title> child elements inside SVG nodes for accessible tooltips (browser native, no script).

The map shows: a central pillar node, color-coded cluster groups radiating outward, spoke nodes within each cluster, and link lines connecting related nodes.

Step 6. Present plan to user

Show a summary table of clusters and posts, total interlinks, estimated words, and the file paths. Ask for confirmation before proceeding to execution. Wait for explicit user approval. Do not auto-execute.

Strategy Import: /blog cluster plan --from strategy [path]

Bridges blog-strategy output into a cluster plan.

1. Locate strategy output. Scan the current directory (or the user-specified path) for a file containing a Cluster Build Plan table with the columns # | Spoke Topic | Template | Target Keyword | Word Count | Internal Links (the format produced by /blog strategy).
2. Parse the table. Extract the pillar row (marked P), the spoke rows, template assignments, target keywords, word counts, and link relationships.
3. Validate and enrich. Run SERP overlap validation (Plan Phase Step 2) on each keyword. Add volume estimates and verify cluster groupings semantically.
4. If SERP data contradicts the strategy table, flag the conflict; do not silently override the user's strategic intent.
5. Generate cluster-plan.json and cluster-map.html using the same outputs as the standard Plan Phase.
6. Present the converted plan with any SERP-based adjustments highlighted, and wait for user confirmation.

Execute Phase: /blog cluster execute [path-to-plan]

Reference: ${CLAUDE_SKILL_DIR}/references/execution-workflow.md

Step 1. Load plan

Read cluster-plan.json from the user-specified path or the most recent cluster-*/cluster-plan.json in the working directory. Validate JSON structure. If no plan exists, return: "No cluster plan found. Run /blog cluster plan <seed-keyword> first."

Before reading a user-supplied plan path, canonicalize it relative to the current working directory. Reject absolute paths, .., symlinks, non-cluster-plan.json filenames, and any path outside the selected cluster directory. Constrain all generated post, image, map, and scorecard outputs to that cluster directory.

Step 2. Determine execution order

1. Pillar page first (so spokes can link to a known filename).
2. Then spokes, ordered by (cluster priority, search_volume_estimate desc, post id alphabetical). Cluster priority is the sum of estimated volumes within the cluster (highest first).
3. Alternating between clusters when more than 2 clusters exist diversifies the early content spread.

Step 3. For each post: build cluster context and call blog-write

One-time cost question (before the first post). Execution is bulk and paid. Ask once, and wait for an explicit yes: "This plan has N posts. Each post runs a full blog-write pass, one blog-reviewer pass (more if a gate blocks, up to 3 iterations), and one hero image. A Gemini hero is one paid image call per post (about N times the current per-image price on https://ai.google.dev/gemini-api/docs/pricing). Proceed with Gemini heroes, use free stock heroes only, or stop?" Record the answer in the cluster context as HERO: gemini or HERO: stock-only. For stock-only, run generate_hero.py with the Gemini key unset (env -u GOOGLE_AI_API_KEY). The yes covers exactly N heroes; never regenerate in a loop. Report each fallback or skip (a stock hero, a skipped post) as one line under "Fallbacks and skips" in the final report.

Construct the cluster context block (full schema in ${CLAUDE_SKILL_DIR}/references/execution-workflow.md) and prepend it to the topic prompt passed to the Task tool invoking blog-write. The context tells blog-write the cluster name, the post's role (pillar or spoke), the primary and secondary keywords, the chosen template, the word count target, the list of already-written posts (link to these), the list of upcoming posts (use [INTERNAL-LINK] placeholders), and the linking requirements for this post.

Evidence provenance propagation. The cluster context includes this directive for every spoke and the pillar: "Keep material claims traceable to sources that support them. Record dates, publisher/title details, retrieval notes, methodology, and limitations when they help identify or interpret the source. Use the publication's citation style. Drop unverifiable statistics and replace contradicted ones."

This cascade preserves evidence discipline across batch execution without turning a fixed source-record format into a score or gate. See ${CLAUDE_SKILL_DIR}/../blog/references/flow-alignment.md.

The context also instructs blog-write to run autonomously: skip topic clarification, skip outline approval, do not auto-detect template, do not pause.

Each post goes through blog-write's full delivery contract (the canonical sequence: draft, resolve visuals, render, init nonce, review, gates). Cluster [INTERNAL-LINK: anchor -> filename.md] markers are draft-only: the orchestrator resolves every one at the visuals step, before render. A marker whose target is already written becomes a real link. A marker whose target is a later post in the plan becomes a real relative link to that post's PLANNED filename (the plan fixes every filename), which resolves once the cluster finishes; the scorecard's link audit then confirms every target exists. A marker with no planned target is removed. No marker may survive into a delivered post.

Output format: standard markdown (.md) by default, matching blog-write's default. If the user explicitly requests HTML, set the platform target accordingly. Do not impose any brand-specific CSS or wordmark; that is the user's responsibility downstream.

Step 4. Hero images (no separate blog-image call)

Do not call /blog image from this skill. blog-write's delivery contract requires a hero for every post and creates it once through generate_hero.py into that post's draft folder, so a second call would double the spend and produce a competing file. The hero is therefore required, not optional: if no hero can be produced for a post, that post fails the contract and the batch stops under Step 6. Honor the HERO: answer from Step 3 and record the source and model (from hero-credit.txt) per post in the scorecard.

Step 5. Backward link injection

Earlier posts need links to later ones, but a post that has passed the delivery contract must not be edited in place: any change to its markdown, HTML, PDF, or hero invalidates the review nonce and the gates. Handle each case explicitly:

1. Prevent most edits. Because forward markers resolve to planned

filenames (Step 3), an earlier post already links to every later post the plan says it should. Check links_to and links_from in the plan.

1. Target still in draft (its contract has not run yet, for example when

it is queued behind the post just written): replace the matching [INTERNAL-LINK: keyword -> filename.md] marker with [keyword](filename.md) in the markdown BEFORE the contract runs. No re-review is needed.

1. Target already delivered and a link is still missing: do not touch the

file. Append a proposed edit to cluster-<slug>/cluster-link-patches.md (file, anchor text, the sentence to change, target filename) and show the list in the final report. If the user explicitly opts in to apply a patch, edit the markdown and then repeat the canonical sequence for that post: re-render, re-init the review nonce, re-review, re-run preflight --strict (max 3 iterations). Tell the user the number of extra reviewer runs first.

1. Cluster metadata (cluster:, cluster_role:, cluster_group:,

cluster_position:) is written into each post's frontmatter during its own draft (Step 3), never added afterward.

Step 6. Failure handling

If blog-write returns a quality-gate failure for any post, stop the batch immediately. Save progress, mark the failed post and all remaining posts as skipped, and tell the user to inspect or retry the failed post manually before continuing. Do not keep generating 5 to 15 posts after a quality failure, because that can create scaled-content-abuse risk.

If blog-write fails before content is generated because of a timeout or runtime error, log the failure in the scorecard and stop unless the user explicitly resumes after checking the cause.

If the user cancels mid-execution, save progress and note completed posts. On the next /blog cluster execute, detect already-written files and resume from the next unwritten post.

Step 7. Generate cluster-scorecard.md

After all attempted posts complete, produce a markdown scorecard covering:

• Per-post status (written, failed, skipped) with file path and word count.
• Per-post quality score (call /blog analyze on each in parallel via Task) and the cluster average.
• Cluster cohesion score: a 0 to 100 composite of link reciprocity, intent diversity, template diversity, and keyword coverage (formula in ${CLAUDE_SKILL_DIR}/references/execution-workflow.md).
• Internal-link audit: outgoing and incoming counts per post, orphan flags, unresolved [INTERNAL-LINK] markers.
• Cannibalization check: any two posts sharing primary keyword, or any pair with greater than 70% keyword overlap. Recommend running /blog cannibalization for a deeper pass.
• Hero summary: per-post hero source and model from hero-credit.txt, and any stock fallbacks.
• Link patches: the contents of cluster-link-patches.md, if any.
• Recommended next actions: schema generation (/blog schema), per-post SEO validation (/blog seo-check), repurposing (/blog repurpose).

Step 8. Final report

Return a concise summary to the user with totals, the scorecard path, and the next-action commands.

Output Artifacts (summary)

Quality Gates

Error Handling

Differentiation from related claude-blog skills

blog-cluster is the general contractor: it analyzes the topic, draws the data-driven plan, and builds the entire structure from a single seed keyword.