| name | seo-intel |
| description | SEO intelligence toolkit covering the full lifecycle via live web data:
keyword research, rank tracking, site audits, content gap analysis,
competitor keyword reverse-engineering, AI visibility across five platforms
(ChatGPT, Perplexity, Google AI, Gemini, Grok), and GitHub repo SEO.
Crawls real sites and SERPs via Nimble CLI — no fabricated metrics.
Triggers: "SEO", "keywords", "rank tracker", "site audit", "content gap",
"competitor keywords", "AI visibility", "GitHub SEO", "SERP analysis",
"keyword research", "technical SEO", "keyword difficulty", "topic
clusters", "ranking delta", "on-page SEO", "AI citation audit".
Do NOT use for competitor business signals — use `competitor-intel`
instead. Do NOT use for competitor messaging — use
`competitor-positioning` instead. Do NOT use for general web scraping
— use `nimble-web-expert` instead.
|
| allowed-tools | ["Bash(nimble:*)","Bash(date:*)","Bash(cat:*)","Bash(mkdir:*)","Bash(python3:*)","Bash(echo:*)","Bash(jq:*)","Bash(ls:*)","Bash(gh:*)","Read","Write","Edit","Glob","Grep","Agent","AskUserQuestion"] |
| metadata | {"author":"Nimbleway","version":"1.1.0"} |
SEO Intelligence Toolkit
All-in-one SEO intelligence: keyword discovery, rank tracking, technical audits,
content gaps, competitor analysis, AI visibility, and GitHub SEO.
User request: $ARGUMENTS
Before running any commands, read references/nimble-playbook.md for Claude Code
constraints (no shell state, no &/wait, sub-agent permissions, communication style).
Tag all nimble CLI calls: nimble --client-source nimble-agent-skills <subcommand>. MCP requests are attributed at the transport level — see references/nimble-playbook.md.
Workflow Router
Detect the user's SEO intent from $ARGUMENTS and route to the appropriate
workflow. If the intent is ambiguous or generic ("help me with SEO"), ask which
workflow to run.
Available Workflows
| Workflow | Triggers | Reference |
|---|
| Keyword Research | keyword opportunities, topic clusters, difficulty, what to rank for | references/wf-keyword-research.md |
| Rank Tracker | track rankings, keyword positions, ranking delta, position check | references/wf-rank-tracker.md |
| Site Audit | SEO audit, technical SEO, meta tags, schema, crawl for issues, CWV | references/wf-site-audit.md |
| Content Gap | content gap, keyword gap, compare coverage, missing topics | references/wf-content-gap.md |
| Competitor Keywords | competitor keywords, reverse-engineer SEO, competitor title tags | references/wf-competitor-keywords.md |
| AI Visibility | AI visibility, ChatGPT presence, Perplexity, AI Overview, GEO | references/wf-ai-visibility.md |
| GitHub SEO | github seo, repo discoverability, optimize readme, repo audit | references/wf-github-seo.md |
Intent Detection
Map the request to one workflow:
- Keywords / topics / difficulty / clusters / "what to rank for" → Keyword Research
- Rankings / positions / tracking / delta / monitoring → Rank Tracker
- Audit / crawl / technical / meta / schema / links / CWV → Site Audit
- Gap / missing topics / coverage comparison / "what should I write" → Content Gap
- Competitor site crawl / reverse-engineer / on-page at scale → Competitor Keywords
- AI visibility / ChatGPT / Perplexity / AI Overview / GEO → AI Visibility
- GitHub / repo / README / discoverability → GitHub SEO
If unclear, present the options with AskUserQuestion:
Which SEO workflow should I run?
- Keyword Research — discover keyword opportunities and topic clusters
- Rank Tracker — check and track keyword positions over time
- Site Audit — full technical SEO crawl with JS rendering
- Content Gap — compare content coverage against competitors
- Competitor Keywords — reverse-engineer competitor on-page SEO at scale
- AI Visibility — measure brand presence across 5 AI platforms
- GitHub SEO — audit repository discoverability and README quality
Execution
Once a workflow is identified:
- Read the corresponding
references/wf-{name}.md
- Follow its instructions from Step 0 (Preflight) through to the output format
- All
references/ paths inside workflow files are relative to this skill's directory
Workflow Chaining
After completing a workflow, suggest natural next steps using sibling workflows.
Common chains:
- Site Audit → Keyword Research → Content Gap → Rank Tracker
- Keyword Research → Competitor Keywords → Content Gap
- AI Visibility → Content Gap → Keyword Research
When chaining, read the next workflow file and continue. Context from the
previous run (discovered domains, keyword lists, profile data) carries forward
— do not re-run preflight or re-ask onboarding questions.
Shared Configuration
All workflows use:
- Business profile + onboarding:
references/profile-and-onboarding.md
- Data persistence:
references/memory-and-distribution.md
- CLI patterns + constraints:
references/nimble-playbook.md
- AI platform agent discovery:
references/ai-platform-profiles.md
