nimbleway/seo-intel
skills/seo/seo-intel/SKILL.md
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.
$ install --global
skillsauthnpx skillsauth add nimbleway/agent-skills seo-intelInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Jun 13, 2026, 6:55 AM126.4s20 files scanned
SKILL.md
- name:
- seo-intel
- description:
- |
- Triggers:
- SEO", "keywords", "rank tracker", "site audit", "content gap",
- - Bash(nimble:
- *)
- - Bash(date:
- *)
- - Bash(cat:
- *)
- - Bash(mkdir:
- *)
- - Bash(python3:
- *)
- - Bash(echo:
- *)
- - Bash(jq:
- *)
- - Bash(ls:
- *)
- - Bash(gh:
- *)
- author:
- Nimbleway
- version:
- 0.22.0
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 skill-seo-intel <subcommand>. 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
Related Skills
nimbleway/nimble-databricks-data-products
development
VerifiedTrustedCommunity
Builds Databricks data products from live web data, end to end: discovers the right Nimble web-data agents, scrapes into Delta tables, and produces an AI/BI dashboard and/or a deployed Databricks App — a table → dashboard → app workflow, for production data products or quick demos. Use whenever a request pairs live or scraped web data WITH a Databricks destination — e.g. "scrape Amazon/Walmart prices into a Delta table and build a dashboard", "load Zillow/Instagram/Maps/search results into Databricks and build a dashboard or app", "showcase Nimble + Databricks to a prospect". Prefer it over nimble-web-expert or competitor-intel when the data lands in Databricks. Do NOT use for one-off web fetches or CSV exports with no Databricks destination — use nimble-web-expert instead. Do NOT use for competitor or company research briefings — use competitor-intel or company-deep-dive instead. Do NOT use for generic Databricks work with no Nimble/web-data angle — use the official databricks-* skills instead.
46SKILL.mdUpdated Jun 13, 2026
nimbleway/talent-sourcing
development
VerifiedTrustedCommunity
Finds qualified candidates for a role by searching LinkedIn, Indeed, GitHub, and other professional platforms using Nimble Web Search Agents. Accepts a job description, role title, or freeform request and returns a ranked candidate list with profiles, skills, and contact signals. Use this skill when the user wants to find, source, or recruit candidates for a role. Common triggers: "find candidates for", "source engineers in", "who can I hire for", "find me a [role]", "recruiting for", "talent search", "find a [role] in [city]", "build a candidate list", "sourcing for [role]", "who's available for", "find potential hires". Also triggers on a pasted job description followed by a sourcing request. Do NOT use for job market research or salary benchmarking — use market-finder instead. Do NOT use for researching a single known person — use company-deep-dive or meeting-prep instead.
46SKILL.mdUpdated Apr 21, 2026
nimbleway/nimble-web-expert
development
VerifiedTrustedCommunity
Get web data now — fast, incremental, immediately responsive to what the user needs. The only way Claude can access live websites. USE FOR: - Fetching any URL or reading any webpage - Scraping prices, listings, reviews, jobs, stats, docs from any site - Discovering URLs on a site before bulk extraction - Calling public REST/XHR API endpoints - Web search and research (8 focus modes) - Bulk crawling website sections Must be pre-installed and authenticated. Run `nimble --version` to verify. For building reusable extraction workflows to run at scale over time, use nimble-agent-builder instead.
46SKILL.mdUpdated Apr 17, 2026
nimbleway/nimble-agent-builder
development
VerifiedTrustedCommunity
A building experience: create, test, validate, refine, and publish extraction workflows based on existing or new Nimble agents. For users who want to invest in a durable, reusable workflow for a specific domain — not get data immediately. Trigger phrases: "set up extraction for X site", "I need to extract from this site regularly", "build an agent for", "create a reusable scraper", "generate a Nimble agent", "refine my agent", "add a field to my agent", or when the user wants to run extraction at scale. For getting data immediately, use nimble-web-expert instead.
46SKILL.mdUpdated Apr 17, 2026