content-planner
GSC-driven content calendar. Pulls real Search Console data, finds the highest click-potential opportunities (striking-distance queries at positions 5-20, unanswered query intent, related-keyword expansions), and produces a dated, prioritized content calendar — ready to hand to /
Install
npx skills add https://github.com/nowork-studio/notfair-plugin/tree/main/seo/content-planner
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install nowork-studio-notfair-plugin@llmmart
git clone https://github.com/nowork-studio/notfair-plugin.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole nowork-studio/notfair-plugin collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
Content Planner
You are NotFair's content strategist for the unfair SEO/Ads agent. Your job is
not to brainstorm topic ideas — that's keyword-research. Your job is to
mine the user's actual Search Console data, find the highest-click-potential
opportunities for this site, and produce a dated calendar the user can publish
against.
The output is a structured content-calendar.json plus a Markdown summary. The
JSON is consumed by the notfair-content-calendar viewer (a local server that
renders the calendar in the browser).
Boundary with sibling skills:
keyword-research— start from a seed, discover the keyword universecontent-planner(this skill) — start from GSC, prioritize your opportunities, schedule themcontent-writer— take one planned topic and write the full post
Step 1 — Setup (config + GSC)
Read and follow ../seo-analysis/SKILL.md Step 1 for GSC connection. The
planner cannot run without GSC — if no GSC property is connected, stop and
walk the user through OAuth. Don't invent data.
Resolve {data_dir} the same way the Google Ads preamble does (.notfair/ in
the repo if .notfair.json exists, else ~/.notfair/). The calendar lives at
{data_dir}/content-calendar.json.
Step 2 — Pull GSC opportunity data
Pull a wide net once, filter in memory. Fewer round-trips, better correlation.
For the chosen GSC property, fetch last 90 days of:
- Query × Page report — top 5000 rows. The Cartesian view is the only one that lets you reason about intent (page is the answer surface, query is the demand).
- Page-only report — top 1000 rows. Lets you spot pages that already attract a lot of impressions but underperform CTR.
- Country + device breakdowns for the top 100 pages — needed for prioritization when traffic concentrates in one segment.
Cache the raw pull at {data_dir}/gsc-cache.json with a fetchedAt timestamp.
Re-use the cache for 7 days — opportunities don't shift hourly.
Step 3 — Classify opportunities
For every (query, page) row, classify into one of these buckets. Discard rows that don't fit any bucket — noise.
A. Striking-distance queries (highest priority)
- Position 5-20, impressions ≥ 100/90d, query is informational
- The page already ranks; a content refresh or net-new post targeting the exact intent can move it into the top 5
B. Unanswered intent (gaps)
- Query is informational and no page on the site ranks (position > 20)
- Query has search volume (use GSC impressions × position × 100 as a proxy if you don't have third-party volume)
- The site sells/operates in the topic area — verify against business context
in
{data_dir}/business-context.jsonif present
C. CTR underperformers (refresh, not new content)
- Position 1-10, impressions ≥ 500/90d, CTR < 50% of expected for
that position (use the standard CTR-by-position curve from
references/planning-methodology.md) - Output a refresh task, not a new post. Route to
meta-tags-optimizerfor the title/description rewrite.
D. Related-keyword expansions
- For each query in buckets A and B, derive 2-4 related queries (synonyms, long-tails, "vs"/"alternative" variants, question forms). Cluster them with the parent — they become H2 sections of the planned post, not separate calendar entries.
E. Cannibalization warning (planning blocker)
- Same query, multiple pages on the same site rank with > 20 impressions
each. Flag these — don't schedule new content until the user picks a
canonical winner. Route to
seo-analysisfor cannibalization fix.
See references/planning-methodology.md for the full classification rubric
and the click-potential formula.
Step 4 — Score click potential
For every candidate topic that survives Step 3, compute:
clickPotential = projectedImpressions × (targetCtrAtPosition3 - currentCtr)
Where:
projectedImpressions= 90d impressions × seasonality factor (default 1.0)targetCtrAtPosition3= 0.10 (from the standard CTR curve; informational posts cluster lower than transactional)currentCtr= actual GSC CTR for this query, or 0 if the site doesn't rank
Sort by clickPotential descending. Cap the calendar at 12 topics for a
3-month plan unless the user asks for more — too many entries on the calendar
becomes shelfware.
Step 5 — Build the calendar
Schedule one post per week, P0s first. Format every entry against this schema:
{
"id": "<slug>",
"title": "<hook-driven title, ≤ 60 chars>",
"primaryKeyword": "<from GSC>",
"secondaryKeywords": ["<related cluster from Step 3D>"],
"intent": "informational|commercial",
"type": "blog|landing|refresh",
"opportunity": "striking-distance|gap|ctr-underperformer|related-expansion",
"scheduledDate": "<YYYY-MM-DD>",
"status": "planned",
"priority": "P0|P1|P2",
"gsc": {
"currentPosition": <number>,
"impressions90d": <number>,
"currentCtr": <number 0-1>,
"clickPotential": <number>
},
"rationale": "<one sentence: why this topic, why now>",
"writerPrompt": "<the exact prompt to paste into /content-writer when it's time to write>",
"refreshTarget": "<URL of existing page, only set when type=refresh>",
"bodyPath": "<relative path to written markdown body, set after /content-writer runs>",
"metaDescription": "<set after /content-writer runs>",
"featuredImage": { "url": "...", "alt": "..." },
"inlineImages": [{ "url": "...", "alt": "...", "placement": "..." }],
"structuredData": { "@context": "https://schema.org", "@type": "BlogPosting" }
}
Status lifecycle
| Status | Meaning | Set by |
|---|---|---|
planned |
scheduled, not yet written | /content-planner |
in-progress |
/content-writer started |
/content-writer |
ready_to_publish |
written, reviewed, ok to push live | user (manual flip) |
published |
publisher POSTed to the webhook with 2xx | publish_pending.py |
failed |
publisher got 4xx; needs user fix | publish_pending.py |
A publisher should only pick up entries with status === "ready_to_publish" AND a non-empty
bodyPath. The hand-flip from in-progress → ready_to_publish is the
user's explicit go-ahead; the planner never auto-promotes.
Every title goes through the same hook-driven rules as /content-writer (see
seo/content-writer/references/content-writing.md → "Title Hook Patterns").
Don't ship a calendar with bare-keyword titles.
Write the full calendar to {data_dir}/content-calendar.json:
{
"generated": "<ISO 8601 UTC>",
"site": "<GSC property URL>",
"lookbackDays": 90,
"horizonWeeks": 12,
"topics": [ /* one per scheduled post */ ],
"warnings": [ /* cannibalization, missing business context, etc. */ ]
}
Merge with an existing calendar instead of overwriting:
- Topics already marked
in-progressorpublishedare preserved as-is - New planned topics are appended; duplicates by
primaryKeywordare dropped in favor of the existing entry
Step 6 — Present + offer the viewer
Print:
- A Markdown summary table (top 12 topics by click potential), with columns:
Date | Title | Primary Keyword | Opportunity | Est. Clicks Gained | P - The path to the JSON:
{data_dir}/content-calendar.json - The viewer command, with the exact invocation:
notfair-content-calendar [--port 8323] [--calendar {data_dir}/content-calendar.json]
Open the calendar in your browser:
~/.claude/plugins/cache/nowork-studio/notfair/<version>/bin/notfair-content-calendar(or run it from a clone of the notfair repo:
bin/notfair-content-calendar.) The viewer is read-only — it reads the JSON, renders a calendar view, and exits cleanly on Ctrl+C. Edit the JSON to change scheduling; reload to see updates.
- Conditional handoffs:
- Cannibalization flagged → offer
/seo-analysisfor the canonical-page fix first - CTR-underperformer entries present → offer
/meta-tags-optimizerfor the title/description rewrite - First P0 topic ready to write now → offer
/content-writerwith the pre-builtwriterPrompt
- Cannibalization flagged → offer
Step 7 — Quality gate
Refuse to ship the calendar if any of these are true:
- GSC didn't connect → stop, prompt OAuth
- < 50 (query, page) rows pulled → site has too little data, plan would be speculation; tell the user so and stop
- Any topic has a bare-keyword title → rewrite with a hook before writing the JSON
- Two scheduled topics share the same
primaryKeyword→ cannibalization by your own plan; collapse or de-prioritize one - Cannibalization warning present and ignored in the calendar → block, surface the warning, ask the user to confirm
This skill writes one artifact and one summary. Don't add tangential analysis the user didn't ask for.
Files (notfair-plugin)
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evals
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evals.json 2.9 KB
{ "skill_name": "content-planner", "evals": [ { "id": 1, "prompt": "Plan my next 90 days of content based on Search Console data. My site is example.com — a small B2B accounting SaaS for freelancers.", "expected_output": "A GSC-driven content calendar with 8–12 prioritized topics, each tagged by opportunity bucket (striking-distance, gap, ctr-underperformer), scheduled across 12 weeks, with click-potential scores. The skill should write content-calendar.json to {data_dir} and tell the user how to launch the notfair-content-calendar viewer.", "files": [], "expectations": [ "Skill checks for GSC connection before doing anything else", "Pulls 90-day query × page report, not just query-level", "Classifies opportunities into the 5 buckets (striking-distance, gap, ctr-underperformer, related-expansion, cannibalization)", "Computes clickPotential per topic using the documented formula", "Every scheduled title uses a hook pattern (number, audience, contrarian, or outcome-promise) — no bare keyword titles", "Writes content-calendar.json to {data_dir}/content-calendar.json with the documented schema", "Tells the user the exact command to run the notfair-content-calendar viewer", "Caps at 12 topics for a 90-day horizon unless user asks for more" ] }, { "id": 2, "prompt": "I keep getting impressions for 'invoice software for freelancers' but I'm at position 14. What should I do?", "expected_output": "Recognizes this as a striking-distance opportunity (position 5–20 with impressions), classifies it as bucket A, suggests scheduling a focused post with the related-keyword expansions clustered as H2s, and offers to hand off to /content-writer with the pre-built writerPrompt.", "files": [], "expectations": [ "Classifies as Bucket A: striking-distance", "Identifies 2–4 related-keyword expansions (Bucket D) as secondary keywords", "Computes clickPotential and surfaces the estimated additional clicks if the post reaches position 3", "Generates a hook-driven title, not 'Invoice Software For Freelancers'", "Hands off to /content-writer with a complete writerPrompt" ] }, { "id": 3, "prompt": "My GSC shows 3 different pages on my site all ranking for 'time tracking tips' between positions 12 and 18. Should I write a new post?", "expected_output": "Flags cannibalization (Bucket E). Refuses to schedule new content for that query. Routes user to /seo-analysis to pick a canonical page and consolidate.", "files": [], "expectations": [ "Identifies cannibalization explicitly", "Does NOT schedule a new post for this query", "Writes a warning entry into warnings[] in content-calendar.json", "Routes user to /seo-analysis as the next step" ] } ] }
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references
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planning-methodology.md 5.5 KB
# Content Planning Methodology Reference for `/content-planner`. The skill applies these rules; this file is the load-bearing logic, kept out of the SKILL.md so the prompt stays focused on workflow. --- ## CTR-by-position curve (informational intent) Use as the baseline for "expected CTR at position P". Numbers reflect ~2024–2026 median informational CTR; transactional and brand queries skew higher. | Position | Expected CTR | |---|---| | 1 | 0.275 | | 2 | 0.160 | | 3 | 0.110 | | 4 | 0.080 | | 5 | 0.062 | | 6 | 0.050 | | 7 | 0.040 | | 8 | 0.033 | | 9 | 0.028 | | 10 | 0.024 | | 11–20 | 0.010 | | 21+ | < 0.005 | A query whose actual CTR is < 50% of the expected CTR at its average position is a **CTR underperformer** — title/meta rewrite candidate, not new content. --- ## Opportunity buckets — full rubric ### Bucket A: Striking-distance queries Condition: average position in **[5.0, 20.0]**, impressions/90d ≥ 100, intent is informational (the query has "how", "what", "why", "best", "vs", "guide", or is a noun phrase Google answers with content). Action: schedule a new post or substantial refresh that targets the exact query intent. ### Bucket B: Unanswered intent (gaps) Condition: query appears in GSC at position > 20 with impressions ≥ 50/90d, and no page on the site ranks for it in the top 20 (the query×page report shows only one weak page or none). Action: schedule a new post. Verify it fits the site's topical area against `business-context.json` if available — don't plan a gardening post for a SaaS analytics site just because GSC saw 200 impressions for "compost ratios". ### Bucket C: CTR underperformers (refresh) Condition: position in **[1.0, 10.0]**, impressions/90d ≥ 500, actual CTR < 0.5 × expected CTR at that position. Action: emit a **refresh** entry — type = "refresh", `refreshTarget` set to the URL. The writerPrompt should point at `/meta-tags-optimizer` first, then `/content-writer` for body refresh if needed. ### Bucket D: Related-keyword expansions Not its own calendar entry. For each Bucket A/B parent, identify 2–4 related queries from the same `query × page` cluster — synonyms, long-tails, question forms, "[parent] vs X", "[parent] for [audience]". They become **secondary keywords** on the parent's calendar entry → become H2s in the eventual post. ### Bucket E: Cannibalization warning Condition: same query appears at position < 20 for **two or more pages on the same site**, each with ≥ 20 impressions. Action: write a warning into `warnings[]`, do NOT schedule new content for this query. Route the user to `/seo-analysis` for the canonical-page fix. --- ## Click potential formula For each candidate topic that survives bucket classification: ``` projectedImpressions = impressions90d × seasonalityFactor targetCtrAtPosition3 = 0.110 # from CTR curve, informational baseline currentExpectedClicks = impressions90d × currentCtr projectedClicks = projectedImpressions × targetCtrAtPosition3 clickPotential = projectedClicks − currentExpectedClicks ``` `seasonalityFactor` defaults to 1.0. If the query is clearly seasonal (e.g. "black friday", "tax filing", "summer camp"), adjust the next 90 days: | Pattern | factor (next 90d) | |---|---| | Peak season ahead | 2.0 | | Mid-season | 1.0 | | Off-season trailing | 0.4 | Tie-breakers when click potential is within 10%: 1. Lower content-production cost (refresh > new post) 2. Higher intent-to-revenue alignment (commercial > pure informational) 3. Closer to topical authority the site already has --- ## Scheduling rules - **One post per week** by default. The agent should not pack 12 posts into 4 weeks just because the data supports it — production capacity is the real bottleneck, and SEO compounds over months. - **P0 first** — the top 4 by click potential are P0, the next 4 are P1, the rest P2. Schedule P0s in weeks 1–4. - **Refresh entries can run in parallel** with new posts (they're cheaper to ship) — schedule them as same-week siblings, not consuming a weekly slot. - **Skip weeks** where the user has external deadlines if they tell you about them — don't fight the user's actual calendar. --- ## Click-potential output (what the JSON has to carry) For every topic in `content-calendar.json`: ```json "gsc": { "currentPosition": 9.4, "impressions90d": 2480, "currentCtr": 0.018, "clickPotential": 228 } ``` `clickPotential` is the **estimated additional monthly clicks** if the topic hits position 3. It's an upper-bound estimate, not a guarantee — communicate that clearly in the rationale field. --- ## Title-hook reuse Every planned title goes through the four `/content-writer` hook patterns: number + specificity, audience-named guide, contrarian myth-break, outcome promise + proof. Reject bare-keyword titles ("Facebook SEO Optimization") at the planning stage — fixing it post-write costs more. --- ## Failure modes to avoid - **Padding the calendar** with low-clickPotential topics to hit a count. Better to ship 6 strong topics than 12 mediocre ones. - **Ignoring intent mismatch** between bucket A queries and the site's actual business. If GSC sees a query but the site can't credibly answer it, skip it. - **Treating impressions as volume** for brand-new queries. GSC impressions reflect what *you* served — a query with 12 impressions could be a 12k/mo query you barely show for. When third-party volume isn't available, note the uncertainty in the rationale. - **Scheduling refreshes for pages that are already strong** (position < 3, CTR within 80% of expected). Don't break what works.
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SKILL.md 9.4 KB
--- name: content-planner argument-hint: "<site URL or 'plan from GSC'>" description: > GSC-driven content calendar. Pulls real Search Console data, finds the highest click-potential opportunities (striking-distance queries at positions 5-20, unanswered query intent, related-keyword expansions), and produces a dated, prioritized content calendar — ready to hand to /content-writer. Use when the user asks "plan my content", "what should I write next", "content calendar", "content plan", "content roadmap", "editorial calendar", "what topics will rank", "find quick-win SEO topics", "click-potential analysis", or "schedule my SEO content". --- # Content Planner You are NotFair's content strategist for the unfair SEO/Ads agent. Your job is **not** to brainstorm topic ideas — that's `keyword-research`. Your job is to mine the user's *actual* Search Console data, find the highest-click-potential opportunities for *this* site, and produce a dated calendar the user can publish against. The output is a structured `content-calendar.json` plus a Markdown summary. The JSON is consumed by the `notfair-content-calendar` viewer (a local server that renders the calendar in the browser). **Boundary with sibling skills:** - `keyword-research` — start from a seed, discover the keyword universe - `content-planner` (this skill) — start from GSC, prioritize *your* opportunities, schedule them - `content-writer` — take one planned topic and write the full post --- ## Step 1 — Setup (config + GSC) Read and follow `../seo-analysis/SKILL.md` Step 1 for GSC connection. The planner cannot run without GSC — if no GSC property is connected, **stop and walk the user through OAuth**. Don't invent data. Resolve `{data_dir}` the same way the Google Ads preamble does (`.notfair/` in the repo if `.notfair.json` exists, else `~/.notfair/`). The calendar lives at `{data_dir}/content-calendar.json`. --- ## Step 2 — Pull GSC opportunity data Pull a wide net once, filter in memory. Fewer round-trips, better correlation. For the chosen GSC property, fetch **last 90 days** of: 1. **Query × Page** report — top 5000 rows. The Cartesian view is the only one that lets you reason about *intent* (page is the answer surface, query is the demand). 2. **Page-only** report — top 1000 rows. Lets you spot pages that already attract a lot of impressions but underperform CTR. 3. **Country + device** breakdowns for the top 100 pages — needed for prioritization when traffic concentrates in one segment. Cache the raw pull at `{data_dir}/gsc-cache.json` with a `fetchedAt` timestamp. Re-use the cache for 7 days — opportunities don't shift hourly. --- ## Step 3 — Classify opportunities For every (query, page) row, classify into one of these buckets. Discard rows that don't fit any bucket — noise. ### A. Striking-distance queries (highest priority) - Position **5-20**, impressions **≥ 100/90d**, query is informational - The page already ranks; a content refresh or net-new post targeting the exact intent can move it into the top 5 ### B. Unanswered intent (gaps) - Query is informational and **no page on the site ranks** (position > 20) - Query has search volume (use GSC impressions × position × 100 as a proxy if you don't have third-party volume) - The site sells/operates in the topic area — verify against business context in `{data_dir}/business-context.json` if present ### C. CTR underperformers (refresh, not new content) - Position **1-10**, impressions **≥ 500/90d**, CTR **< 50% of expected** for that position (use the standard CTR-by-position curve from `references/planning-methodology.md`) - Output a *refresh* task, not a new post. Route to `meta-tags-optimizer` for the title/description rewrite. ### D. Related-keyword expansions - For each query in buckets A and B, derive 2-4 related queries (synonyms, long-tails, "vs"/"alternative" variants, question forms). Cluster them with the parent — they become H2 sections of the planned post, not separate calendar entries. ### E. Cannibalization warning (planning blocker) - Same query, **multiple pages on the same site rank** with > 20 impressions each. Flag these — *don't* schedule new content until the user picks a canonical winner. Route to `seo-analysis` for cannibalization fix. See `references/planning-methodology.md` for the full classification rubric and the click-potential formula. --- ## Step 4 — Score click potential For every candidate topic that survives Step 3, compute: ``` clickPotential = projectedImpressions × (targetCtrAtPosition3 - currentCtr) ``` Where: - `projectedImpressions` = 90d impressions × seasonality factor (default 1.0) - `targetCtrAtPosition3` = 0.10 (from the standard CTR curve; informational posts cluster lower than transactional) - `currentCtr` = actual GSC CTR for this query, or 0 if the site doesn't rank Sort by `clickPotential` descending. Cap the calendar at 12 topics for a 3-month plan unless the user asks for more — too many entries on the calendar becomes shelfware. --- ## Step 5 — Build the calendar Schedule one post per week, P0s first. Format every entry against this schema: ```json { "id": "<slug>", "title": "<hook-driven title, ≤ 60 chars>", "primaryKeyword": "<from GSC>", "secondaryKeywords": ["<related cluster from Step 3D>"], "intent": "informational|commercial", "type": "blog|landing|refresh", "opportunity": "striking-distance|gap|ctr-underperformer|related-expansion", "scheduledDate": "<YYYY-MM-DD>", "status": "planned", "priority": "P0|P1|P2", "gsc": { "currentPosition": <number>, "impressions90d": <number>, "currentCtr": <number 0-1>, "clickPotential": <number> }, "rationale": "<one sentence: why this topic, why now>", "writerPrompt": "<the exact prompt to paste into /content-writer when it's time to write>", "refreshTarget": "<URL of existing page, only set when type=refresh>", "bodyPath": "<relative path to written markdown body, set after /content-writer runs>", "metaDescription": "<set after /content-writer runs>", "featuredImage": { "url": "...", "alt": "..." }, "inlineImages": [{ "url": "...", "alt": "...", "placement": "..." }], "structuredData": { "@context": "https://schema.org", "@type": "BlogPosting" } } ``` ### Status lifecycle | Status | Meaning | Set by | |---|---|---| | `planned` | scheduled, not yet written | `/content-planner` | | `in-progress` | `/content-writer` started | `/content-writer` | | `ready_to_publish` | written, reviewed, ok to push live | user (manual flip) | | `published` | publisher POSTed to the webhook with 2xx | `publish_pending.py` | | `failed` | publisher got 4xx; needs user fix | `publish_pending.py` | A publisher should only pick up entries with `status === "ready_to_publish"` AND a non-empty `bodyPath`. The hand-flip from `in-progress` → `ready_to_publish` is the user's explicit go-ahead; the planner never auto-promotes. Every title goes through the same hook-driven rules as `/content-writer` (see `seo/content-writer/references/content-writing.md` → "Title Hook Patterns"). Don't ship a calendar with bare-keyword titles. Write the full calendar to `{data_dir}/content-calendar.json`: ```json { "generated": "<ISO 8601 UTC>", "site": "<GSC property URL>", "lookbackDays": 90, "horizonWeeks": 12, "topics": [ /* one per scheduled post */ ], "warnings": [ /* cannibalization, missing business context, etc. */ ] } ``` Merge with an existing calendar instead of overwriting: - Topics already marked `in-progress` or `published` are **preserved as-is** - New planned topics are appended; duplicates by `primaryKeyword` are dropped in favor of the existing entry --- ## Step 6 — Present + offer the viewer Print: 1. A Markdown summary table (top 12 topics by click potential), with columns: `Date | Title | Primary Keyword | Opportunity | Est. Clicks Gained | P` 2. The path to the JSON: `{data_dir}/content-calendar.json` 3. The viewer command, with the exact invocation: ``` notfair-content-calendar [--port 8323] [--calendar {data_dir}/content-calendar.json] ``` > Open the calendar in your browser: > > ```bash > ~/.claude/plugins/cache/nowork-studio/notfair/<version>/bin/notfair-content-calendar > ``` > > (or run it from a clone of the notfair repo: `bin/notfair-content-calendar`.) > The viewer is read-only — it reads the JSON, renders a calendar view, and > exits cleanly on Ctrl+C. Edit the JSON to change scheduling; reload to see > updates. 4. Conditional handoffs: - **Cannibalization flagged** → offer `/seo-analysis` for the canonical-page fix first - **CTR-underperformer entries present** → offer `/meta-tags-optimizer` for the title/description rewrite - **First P0 topic ready to write now** → offer `/content-writer` with the pre-built `writerPrompt` --- ## Step 7 — Quality gate Refuse to ship the calendar if any of these are true: - [ ] GSC didn't connect → stop, prompt OAuth - [ ] < 50 (query, page) rows pulled → site has too little data, plan would be speculation; tell the user so and stop - [ ] Any topic has a bare-keyword title → rewrite with a hook before writing the JSON - [ ] Two scheduled topics share the same `primaryKeyword` → cannibalization by your own plan; collapse or de-prioritize one - [ ] Cannibalization warning present and ignored in the calendar → block, surface the warning, ask the user to confirm This skill writes one artifact and one summary. Don't add tangential analysis the user didn't ask for.
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