Nimble Web Expert

Web extraction, search, and URL discovery using the Nimble CLI. Returns clean structured data from any website.

User request: $ARGUMENTS

Core principles

• Route by intent first. Named site/domain → check for pre-built agent first (announce it out loud). Direct URL → nimble extract. Research/topic → nimble search. Discover/crawl URLs → nimble map or nimble crawl.
• One command → present results → done. Run once with --transform "data.parsing" for agents. Show the data immediately as a table. Do NOT experiment, loop, or write Python to parse output.
• Multiple inputs → always parallel. 2+ URLs/keywords/ASINs → &+wait. 6–20 → xargs -P. 20+ → Python asyncio script. See references/batch-patterns.md.
• Escalate render tiers silently. Tier 1 → 2 → 3 → … without asking. Surface a decision only when all tiers fail and investigation tools are needed.
• Never answer from training data. Live prices, current news, today's listings → always fetch via Nimble. If unavailable, say so.
• AskUserQuestion at every meaningful choice. Header ≤12 chars, 2–4 options, label 1–5 words, recommended option first. Never present choices as numbered prose.
• Save all outputs to .nimble/. Never leave extraction results in memory only.
• If bash is denied, stop immediately. Show the command as text and wait. Never retry with dangerouslyDisableSandbox.

Skill ecosystem

Skill	Best for	Key commands
nimble-web-expert (this skill)	Real-time data — fetch any URL, search, map, crawl, run existing agents	extract, search, map, crawl, agent run
nimble-agent-builder	Build reusable agents — create, refine, publish named extraction templates	MCP: generate, update, publish

Hand off to nimble-agent-builder only when all of these are true: the user has signalled a recurring/scheduled need, the pattern is repetitive (same site, same fields), and they've seen and approved the results. Don't ask after every extract — only when language clearly signals a recurring workflow ("I want to do this every day", "build me a pipeline", "make this reusable").

For agent refinement: "Agent updates are handled by nimble-agent-builder — it can refine the existing agent without rebuilding from scratch."

Interactive UX

• Use AskUserQuestion at every meaningful choice — never guess, never ask in prose.
• Ambiguous request (no URL, vague topic): ask before running — "What would you like to do?" → Search / Fetch URL / Discover URLs / Call API
• Before running a search (if task maps to a specific focus mode): offer focus mode — General / News / Coding / Shopping / Academic / Social
• After all tiers fail: check investigation tools (which browser-use, python3 -c "from playwright.sync_api...") and ask whether to investigate with browser-use, Playwright, or skip.
• After presenting results, always close with: "Were these results what you needed?" → Looks great! / Mostly good / Not quite / Skip feedback

Prerequisites

Quick check:

nimble --version && echo "${NIMBLE_API_KEY:+API key: set}"

If CLI version and API key: set both print → proceed to Step 0.

If anything is missing, load rules/setup.md for one-time setup instructions (CLI install, API key, Docs MCP).

If bash is denied: Stop. Show the command as text. Do not substitute WebFetch for Nimble tasks.

---

Analyze & Route

User signal	Command	Notes
Names a specific site or domain	nimble agent → nimble extract if no agent	Always check for agent first — announce it
Provides a direct URL	nimble extract	Skip agent check
Research, topic, or vertical query	nimble search	Use focus modes for news, jobs, shopping, etc.
"Find URLs / sitemap / all pages"	nimble map	Returns URL list + metadata
"Crawl / archive a whole section"	nimble crawl	Async bulk extraction

Step 0 — Agent check (when a domain is named)

Pre-built agents return clean structured data with zero selector work. Always check first.

Always verbalize — never silently:

1. Announce: "Let me check if there's a pre-built Nimble agent for [site]..."
2. Report: "Found <agent_name> — using it now." or "No pre-built agent — falling back to extraction."

Lookup order:

1. ~/.claude/skills/nimble-web-expert/learned/examples.json → agents[] array
2. references/nimble-agents/SKILL.md → baked-in table (50+ sites)
3. nimble agent list --limit 100 --search "<domain or vertical>" → show table, confirm with user
4. No match → proceed to extract/search

Run with --transform "data.parsing" — always:

nimble --transform "data.parsing" agent run --agent <name> --params '{"keyword": "..."}'

Do NOT run without --transform "data.parsing" and then parse raw output. The raw response contains html (useless), headers, and parsing (what you want). The transform flag extracts parsing in one shot.

For the full agent list (50+ sites), see references/nimble-agents/SKILL.md.

⚠️ google_search is for SEO/SERP rank analysis only — not general information retrieval. For finding information, use nimble search.

---

Workflow

Situation	Command	Reference
Site/domain → check agent first	nimble agent list → nimble agent run	references/nimble-agents/SKILL.md
Direct URL	nimble extract	references/nimble-extract/SKILL.md
Search the live web	nimble search	references/nimble-search/SKILL.md
Discover URLs on a site	nimble map	references/nimble-map/SKILL.md
Bulk crawl a section	nimble crawl run	references/nimble-crawl/SKILL.md
Poll async task / fetch results	nimble tasks get / nimble tasks results	references/nimble-tasks/SKILL.md
Unknown selectors or XHR path	browser-use or Playwright investigation	references/nimble-extract/browser-investigation.md
Proven site patterns	copy a recipe	references/recipes.md
2+ inputs	parallel bash &+wait or generated script	references/batch-patterns.md

For the full extract waterfall (tiers, flags, browser actions, network capture), see references/nimble-extract/SKILL.md.

---

Response shapes

Command	Output
nimble agent	Structured data in data.parsing — array (SERP/list) or dict (PDP/product)
nimble extract	HTML, Markdown, or parsed JSON — depends on --format and --parse
nimble search	Structured results array (title, URL, description)
nimble map	URL list + metadata
nimble crawl	Async job — poll with nimble crawl status <job_id>

Agent runs always need --transform "data.parsing". If the agent name suggests a list (serp, search, plp), expect an array. If it suggests a single item (pdp, product, profile), expect a dict.

Output & Organization

mkdir -p .nimble   # save all outputs here

Naming: .nimble/<site>-<task>.md (e.g. .nimble/amazon-airpods.md, .nimble/yelp-sf-italian.json)

Working with saved files:

wc -l .nimble/page.md && head -100 .nimble/page.md
grep -n "price\|rating" .nimble/page.md | head -30

End every response with: Source: [URL] — fetched live via Nimble CLI

---

Self-Improvement

The skill maintains ~/.claude/skills/nimble-web-expert/learned/examples.json.

• At task start: read the file, scan good[] for url_pattern matches → use documented command/tier as starting point. Scan bad[] → avoid documented pitfalls.
• After presenting results: ask "Were these results what you needed?" → on positive feedback, append to good[] with url_pattern, task, command, tier, notes. On negative feedback, ask "What went wrong?" and append to bad[] with url_pattern, task, issue, avoid, better.
• Keep entries concise — 5–10 per site. Only write on real feedback, never speculatively.

---

Guardrails

• NEVER answer from training data for live prices, current news, or real-time data. If Nimble is unavailable, say so.
• NEVER skip Step 0 silently. Even if certain there's no agent, announce the check before running extract/search/map.
• NEVER retry the same render tier. If a tier returns empty or blocked, escalate — do not re-run.
• NEVER substitute WebFetch for nimble CLI tasks. WebFetch is a fallback for fetching Nimble docs only.
• NEVER load reference files speculatively. Only read a reference when the current task explicitly needs it.
• Task agents MUST use run_in_background=False. See nimble-agent-builder delegation model for the why.
• Hard retry limit. On error (not empty content): retry at most 2 times with different flags. After 2 errors, report and stop.
• Hard 429 rule. On rate-limit error: stop immediately. Do not retry or switch tiers.

---

Reference files

Load only when needed:

File	Load when
references/recipes.md	Need a proven command for a common site (Amazon, Yelp, LinkedIn…)
references/nimble-agents/SKILL.md	Step 0 lookup — full agent table (50+ sites)
references/nimble-extract/SKILL.md	Extract flags, render tiers, browser actions, network capture, parser schemas
references/nimble-search/SKILL.md	Search flags, all 8 focus modes
references/nimble-map/SKILL.md	Map flags, response structure
references/nimble-crawl/SKILL.md	Full async crawl workflow
references/nimble-tasks/SKILL.md	Poll task status, fetch results — for agent run-async and crawl page tasks
references/nimble-extract/browser-investigation.md	Tier 6 — CSS selector/XHR discovery with browser-use or Playwright
references/nimble-extract/parsing-schema.md	Parser types, selectors, extractors, post-processors
references/nimble-extract/browser-actions.md	Full browser action types and parameters
references/nimble-extract/network-capture.md	Filter syntax, XHR mode, capture+parse patterns
references/nimble-search/search-focus-modes.md	Decision tree, mode details, combination strategies
references/batch-patterns.md	Parallel bash patterns for 2–5, 6–20, and 20+ inputs
references/error-handling.md	Error codes, known site issues, troubleshooting