Install
$ agentstack add skill-nimbleway-agent-skills-seo-intel ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
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 skill-seo-intel . MCP path: not yet supported — see references/nimble-playbook.md for status.
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
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Nimbleway
- Source: Nimbleway/agent-skills
- License: MIT
- Homepage: https://www.nimbleway.com
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.