Discover keyword opportunities with MEASURED volume

Openseo keyword research

by MoizIbnYousaf · MIT license · ★ 31 on GitHub

Discover keyword opportunities with MEASURED volume, keyword difficulty, CPC, and intent from OpenSEO, then write them into brand/keyword-plan.md. Use this skill whenever someone asks for keyword difficulty, KD, search volume, keyword…

---
name: openseo-keyword-research
description: >-
  Discover keyword opportunities with MEASURED volume, keyword difficulty,
  CPC, and intent from OpenSEO, then write them into brand/keyword-plan.md.
  Use this skill whenever someone asks for keyword difficulty, KD, search
  volume, keyword ideas with metrics, striking-distance opportunities from
  Search Console, or SERP-validated keyword priorities. For qualitative
  research without an OpenSEO connection, use mktg's keyword-research
  instead (metrics will be unknown). Triggers: "keyword difficulty",
  "search volume", "keyword opportunities", "striking distance keywords",
  "measured keyword research".
category: seo
tier: nice-to-have
layer: strategy
reads:
  - brand/keyword-plan.md
  - brand/positioning.md

Overview

Turn seed topics into a prioritized, MEASURED keyword opportunity set and land it in brand/keyword-plan.md. mktg's keyword-research is the playbook (methodology); this skill is the measured-data engine behind it when OpenSEO is configured.

Manual install (npx, ZIP)

Claude Codenpx skills add MoizIbnYousaf/marketing-cli --skill openseo-keyword-research -g -a claude-code

Claude Code (degit)npx degit MoizIbnYousaf/marketing-cli/skills/openseo-keyword-research#main ~/.claude/skills/openseo-keyword-research

Claude.ai / desktopZip the folder and upload it under Settings → Capabilities → Skills.

Codex, Cursor, other agentsPoint them at SKILL.md. The other files are plain text.

Connects with Agent Alley MCP · agentalley.io/mcp

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OpenSEO Keyword Research

Turn seed topics into a prioritized, MEASURED keyword opportunity set and land it in brand/keyword-plan.md. mktg's keyword-research is the playbook (methodology); this skill is the measured-data engine behind it when OpenSEO is configured.

On Activation

Readiness check: mktg seo status --json --fields readiness,catalog.endpointError,project — if readiness is not_configured, stop spending: state the gap and hand off to Exa-backed keyword-research with metrics marked unknown. For a ready state, verify live access with the free whoami MCP tool before paid calls.
Project binding: read .seo/openseo.json for projectId. Missing → run openseo-project-setup first (or ask the user for the project id).
Brand grounding: read brand/positioning.md + existing brand/keyword-plan.md (tolerate templates). Business-fit beats volume-fit — the positioning file is the filter.

OpenSEO MCP Tools

get_search_console_performance: when GSC is connected, START here. High rowLimit, filter average position ~5–20 client-side (the API sorts by clicks, not position). These striking-distance terms are the fastest wins — and zero extra credit cost.
get_keyword_metrics: hydrate up to 700 keywords per call with volume, KD, intent, CPC, trends. Use on striking-distance terms and every candidate set.
research_keywords: discovery from 1–5 seeds per call; prefer ~150 results unless exhaustive research was requested.
get_ranked_keywords: when the brief includes a domain/page — exact ranking rows (near-misses, competitor-owned terms).
get_serp_results: inspect SERPs for top candidates when intent is ambiguous. Keep batches small (≤10 queries).
list_saved_keywords: avoid re-researching what's already saved.
save_keywords: a free shared-state mutation. Use only after confirmation, with concise tags (topic:<t>, intent:<i>, page:<slug>).

Workflow

Normalize seeds into 2–5 distinct research angles filtered by positioning.
GSC connected? Pull striking-distance terms first and hydrate with get_keyword_metrics. Work that list before broad discovery.
research_keywords per angle; get_keyword_metrics to hydrate; get_ranked_keywords if a domain is in the brief.
Remove irrelevant, duplicate, branded-only, and off-intent terms.
Prioritize by practical opportunity: business fit → clear intent → reasonable KD → volume/CPC signal → winnable SERP.
get_serp_results for high-potential or ambiguous terms when SERP intent would change the call.
Write the shortlist into brand/keyword-plan.md (preserve its required sections per brand/SCHEMA.md; confirm before overwriting populated sections).
Present: best opportunity theme, top keywords now, keywords to save, SERP caveats. Then next actions: openseo-keyword-clustering, seo-content, or save.

Cost Discipline

State estimated call counts before bulk pulls (>200 keywords) and get confirmation.
Small exploratory batches are fine without asking.
GSC-first ordering exists precisely to avoid spending credits on data the user already owns.

Anti-Patterns

Inventing metrics when OpenSEO returns nothing — because a hallucinated KD of "about 35" silently becomes the foundation of a content plan. If OpenSEO doesn't return a value, write unknown.
Volume-first prioritization — because a 10k-volume term that doesn't match the product converts nobody and burns months. Positioning filters the list before metrics rank it.
save_keywords without explicit confirmation — saves do not burn provider credit, but they mutate shared OpenSEO account state and broad tags can disrupt other workflows. Ask, state the count and tag change, then save.
Skipping the GSC-first pass when GSC is connected — because striking-distance terms (positions 5–20) are provably the cheapest wins in SEO and they're free to read. Discovery research before first-party data is wasted spend.
Overwriting a populated keyword-plan.md without confirmation — because that file is brand memory other skills build on (seo-content, seo-machine). Merge; confirm destructive rewrites.

Close the loop

After writing files, log completion so mktg plan / mktg status count the work (bare mktg run only logs loaded):

mktg run openseo-keyword-research --complete --writes <paths written> --result success --json

Progressive Enhancement

Level	Behavior
L0 (no OpenSEO)	Hand off to Exa-backed `keyword-research`; metrics `unknown`
L1 (`OPENSEO_API_KEY`)	Metrics via available calls; MCP steps deferred
L2 (MCP connected)	Full workflow incl. SERP validation
L3 (GSC connected)	Striking-distance-first ordering; highest-signal path

Adapted from every-app/open-seo .agents/skills/keyword-research (MIT). Workflow and tool guidance upstream; mktg brand-memory writes, positioning filter, and cost discipline added here.

1	---
2	name: openseo-keyword-research
3	description: >-
4	Discover keyword opportunities with MEASURED volume, keyword difficulty,
5	CPC, and intent from OpenSEO, then write them into brand/keyword-plan.md.
6	Use this skill whenever someone asks for keyword difficulty, KD, search
7	volume, keyword ideas with metrics, striking-distance opportunities from
8	Search Console, or SERP-validated keyword priorities. For qualitative
9	research without an OpenSEO connection, use mktg's keyword-research
10	instead (metrics will be unknown). Triggers: "keyword difficulty",
11	"search volume", "keyword opportunities", "striking distance keywords",
12	"measured keyword research".
13	category: seo
14	tier: nice-to-have
15	layer: strategy
16	reads:
17	- brand/keyword-plan.md
18	- brand/positioning.md
19	writes:
20	- brand/keyword-plan.md
21	env_vars:
22	- OPENSEO_API_KEY
23	- OPENSEO_MCP_URL
24	triggers:
25	- keyword difficulty
26	- search volume
27	- keyword opportunities
28	- striking distance keywords
29	- measured keyword research
30	allowed-tools:
31	- Bash(mktg catalog *)
32	- Bash(mktg run *)
33	---
34
35	# OpenSEO Keyword Research
36
37	Turn seed topics into a prioritized, MEASURED keyword opportunity set and land it in `brand/keyword-plan.md`. mktg's `keyword-research` is the playbook (methodology); this skill is the measured-data engine behind it when OpenSEO is configured.
38
39	## On Activation
40
41	1. Readiness check: `mktg seo status --json --fields readiness,catalog.endpointError,project` — if readiness is `not_configured`, stop spending: state the gap and hand off to Exa-backed `keyword-research` with metrics marked `unknown`. For a ready state, verify live access with the free `whoami` MCP tool before paid calls.
42	2. Project binding: read `.seo/openseo.json` for `projectId`. Missing → run `openseo-project-setup` first (or ask the user for the project id).
43	3. Brand grounding: read `brand/positioning.md` + existing `brand/keyword-plan.md` (tolerate templates). Business-fit beats volume-fit — the positioning file is the filter.
44
45	## OpenSEO MCP Tools
46
47	- `get_search_console_performance`: when GSC is connected, START here. High `rowLimit`, filter average position ~5–20 client-side (the API sorts by clicks, not position). These striking-distance terms are the fastest wins — and zero extra credit cost.
48	- `get_keyword_metrics`: hydrate up to 700 keywords per call with volume, KD, intent, CPC, trends. Use on striking-distance terms and every candidate set.
49	- `research_keywords`: discovery from 1–5 seeds per call; prefer ~150 results unless exhaustive research was requested.
50	- `get_ranked_keywords`: when the brief includes a domain/page — exact ranking rows (near-misses, competitor-owned terms).
51	- `get_serp_results`: inspect SERPs for top candidates when intent is ambiguous. Keep batches small (≤10 queries).
52	- `list_saved_keywords`: avoid re-researching what's already saved.
53	- `save_keywords`: a free shared-state mutation. Use only after confirmation, with concise tags (`topic:<t>`, `intent:<i>`, `page:<slug>`).
54
55	## Workflow
56
57	1. Normalize seeds into 2–5 distinct research angles filtered by positioning.
58	2. GSC connected? Pull striking-distance terms first and hydrate with `get_keyword_metrics`. Work that list before broad discovery.
59	3. `research_keywords` per angle; `get_keyword_metrics` to hydrate; `get_ranked_keywords` if a domain is in the brief.
60	4. Remove irrelevant, duplicate, branded-only, and off-intent terms.
61	5. Prioritize by practical opportunity: business fit → clear intent → reasonable KD → volume/CPC signal → winnable SERP.
62	6. `get_serp_results` for high-potential or ambiguous terms when SERP intent would change the call.
63	7. Write the shortlist into `brand/keyword-plan.md` (preserve its required sections per `brand/SCHEMA.md`; confirm before overwriting populated sections).
64	8. Present: best opportunity theme, top keywords now, keywords to save, SERP caveats. Then next actions: `openseo-keyword-clustering`, `seo-content`, or save.
65
66	## Cost Discipline
67
68	- State estimated call counts before bulk pulls (>200 keywords) and get confirmation.
69	- Small exploratory batches are fine without asking.
70	- GSC-first ordering exists precisely to avoid spending credits on data the user already owns.
71
72	## Anti-Patterns
73
74	- Inventing metrics when OpenSEO returns nothing — because a hallucinated KD of "about 35" silently becomes the foundation of a content plan. If OpenSEO doesn't return a value, write `unknown`.
75	- Volume-first prioritization — because a 10k-volume term that doesn't match the product converts nobody and burns months. Positioning filters the list before metrics rank it.
76	- `save_keywords` without explicit confirmation — saves do not burn provider credit, but they mutate shared OpenSEO account state and broad tags can disrupt other workflows. Ask, state the count and tag change, then save.
77	- Skipping the GSC-first pass when GSC is connected — because striking-distance terms (positions 5–20) are provably the cheapest wins in SEO and they're free to read. Discovery research before first-party data is wasted spend.
78	- Overwriting a populated `keyword-plan.md` without confirmation — because that file is brand memory other skills build on (`seo-content`, `seo-machine`). Merge; confirm destructive rewrites.
79
80	## Close the loop
81
82	After writing files, log completion so `mktg plan` / `mktg status` count the work (bare `mktg run` only logs `loaded`):
83
84	```bash
85	mktg run openseo-keyword-research --complete --writes <paths written> --result success --json
86	```
87
88	## Progressive Enhancement
89
90	\| Level \| Behavior \|
91	\|---\|---\|
92	\| L0 (no OpenSEO) \| Hand off to Exa-backed `keyword-research`; metrics `unknown` \|
93	\| L1 (`OPENSEO_API_KEY`) \| Metrics via available calls; MCP steps deferred \|
94	\| L2 (MCP connected) \| Full workflow incl. SERP validation \|
95	\| L3 (GSC connected) \| Striking-distance-first ordering; highest-signal path \|
96
97	---
98
99	Adapted from [every-app/open-seo](https://github.com/every-app/open-seo) `.agents/skills/keyword-research` (MIT). Workflow and tool guidance upstream; mktg brand-memory writes, positioning filter, and cost discipline added here.
100