How do I install firecrawl-search?

Run `npx skills add https://github.com/firecrawl/cli --skill firecrawl-search` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firecrawl-search support?

firecrawl-search works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firecrawl-search free to use?

Yes. firecrawl-search is free to install and use. It is available from the open explainx.ai skill registry published by firecrawl.

Where can I read ratings and reviews for firecrawl-search?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firecrawl-search?

Run `npx skills add https://github.com/firecrawl/cli --skill firecrawl-search` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firecrawl-search support?

firecrawl-search works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firecrawl-search free to use?

Yes. firecrawl-search is free to install and use. It is available from the open explainx.ai skill registry published by firecrawl.

Where can I read ratings and reviews for firecrawl-search?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firecrawl-search?

Run `npx skills add https://github.com/firecrawl/cli --skill firecrawl-search` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firecrawl-search support?

firecrawl-search works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firecrawl-search free to use?

Yes. firecrawl-search is free to install and use. It is available from the open explainx.ai skill registry published by firecrawl.

Where can I read ratings and reviews for firecrawl-search?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firecrawl-search?

Run `npx skills add https://github.com/firecrawl/cli --skill firecrawl-search` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firecrawl-search support?

firecrawl-search works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firecrawl-search free to use?

Yes. firecrawl-search is free to install and use. It is available from the open explainx.ai skill registry published by firecrawl.

Where can I read ratings and reviews for firecrawl-search?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firecrawl-search?

Run `npx skills add https://github.com/firecrawl/cli --skill firecrawl-search` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firecrawl-search support?

firecrawl-search works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firecrawl-search free to use?

Yes. firecrawl-search is free to install and use. It is available from the open explainx.ai skill registry published by firecrawl.

Where can I read ratings and reviews for firecrawl-search?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firecrawl-search?

Run `npx skills add https://github.com/firecrawl/cli --skill firecrawl-search` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firecrawl-search support?

firecrawl-search works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firecrawl-search free to use?

Yes. firecrawl-search is free to install and use. It is available from the open explainx.ai skill registry published by firecrawl.

Where can I read ratings and reviews for firecrawl-search?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firecrawl-search?

Run `npx skills add https://github.com/firecrawl/cli --skill firecrawl-search` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firecrawl-search support?

firecrawl-search works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firecrawl-search free to use?

Yes. firecrawl-search is free to install and use. It is available from the open explainx.ai skill registry published by firecrawl.

Where can I read ratings and reviews for firecrawl-search?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firecrawl-search?

Run `npx skills add https://github.com/firecrawl/cli --skill firecrawl-search` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firecrawl-search support?

firecrawl-search works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firecrawl-search free to use?

Yes. firecrawl-search is free to install and use. It is available from the open explainx.ai skill registry published by firecrawl.

Where can I read ratings and reviews for firecrawl-search?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firecrawl-search?

Run `npx skills add https://github.com/firecrawl/cli --skill firecrawl-search` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firecrawl-search support?

firecrawl-search works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firecrawl-search free to use?

Yes. firecrawl-search is free to install and use. It is available from the open explainx.ai skill registry published by firecrawl.

Where can I read ratings and reviews for firecrawl-search?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firecrawl-search?

Run `npx skills add https://github.com/firecrawl/cli --skill firecrawl-search` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firecrawl-search support?

firecrawl-search works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firecrawl-search free to use?

Yes. firecrawl-search is free to install and use. It is available from the open explainx.ai skill registry published by firecrawl.

Where can I read ratings and reviews for firecrawl-search?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firecrawl-search?

Run `npx skills add https://github.com/firecrawl/cli --skill firecrawl-search` in your terminal. You need to have run `npx skills init` once in your project first.

Productivity

firecrawl-search▌

firecrawl/cli · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/firecrawl/cli --skill firecrawl-search

0 commentsdiscussion

summary

Web search with optional full-page content extraction from results.

›Returns real search results as JSON with optional --scrape flag to fetch complete page markdown for each result, avoiding redundant fetches
›Supports filtering by source type (web, images, news), category (GitHub, research, PDF), time range (past hour/day/week/month/year), location, and country
›Use --limit to control result count and --scrape-formats to customize output formats when extracting full content
›Part of

skill.md

firecrawl search

Web search with optional content scraping. Returns search results as JSON, optionally with full page content.

When to use

You don't have a specific URL yet
You need to find pages, answer questions, or discover sources
First step in the workflow escalation pattern: search → scrape → map → crawl → interact

Quick start

# Basic search
firecrawl search "your query" -o .firecrawl/result.json --json

# Search and scrape full page content from results
firecrawl search "your query" --scrape -o .firecrawl/scraped.json --json

# News from the past day
firecrawl search "your query" --sources news --tbs qdr:d -o .firecrawl/news.json --json

Options

Option	Description
`--limit <n>`	Max number of results
`--sources <web,images,news>`	Source types to search
`--categories <github,research,pdf>`	Filter by category
`--tbs <qdr:h\|d\|w\|m\|y>`	Time-based search filter
`--location`	Location for search results
`--country <code>`	Country code for search
`--scrape`	Also scrape full page content for each result
`--scrape-formats`	Formats when scraping (default: markdown)
`-o, --output <path>`	Output file path
`--json`	Output as JSON

Tips

--scrape fetches full content — don't re-scrape URLs from search results. This saves credits and avoids redundant fetches.
Always write results to .firecrawl/ with -o to avoid context window bloat.
Use jq to extract URLs or titles: jq -r '.data.web[].url' .firecrawl/search.json
Naming convention: .firecrawl/search-{query}.json or .firecrawl/search-{query}-scraped.json

Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

›Claude Desktop or compatible AI client
›Access to product documentation and roadmap tools (Jira, Notion, etc.)
›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

1.Install product management skill
2.Start with user story generation for known feature
3.Progress to competitive analysis: research 2-3 competitors
4.Use for roadmap prioritization: apply RICE/ICE scoring
5.Draft stakeholder communications and refine based on feedback
6.Build template library for recurring PM tasks
7.Share effective prompts with product team

Common Pitfalls

⚠Not validating competitive research—verify facts before sharing
⚠Accepting user stories without involving engineering team
⚠Over-relying on frameworks without qualitative judgment
⚠Not customizing outputs to company culture and communication style
⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

+Validate research and competitive analysis with real data
+Collaborate with engineering when generating technical requirements
+Customize frameworks and templates to your company context
+Use skill for first drafts, refine with stakeholder input
+Document successful prompt patterns for PM tasks
+Combine AI efficiency with human judgment and intuition

✗ Don't

−Don't publish competitive analysis without fact-checking
−Don't finalize user stories without engineering review
−Don't make prioritization decisions solely on AI scoring
−Don't skip customer validation of generated requirements
−Don't ignore company-specific context and culture

💡 Pro Tips

★Provide context: company goals, constraints, customer feedback
★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

1Basic: user stories, feature specs, status updates
2Intermediate: competitive analysis, prioritization frameworks, PRDs
3Advanced: product strategy, go-to-market planning, OKR setting
4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)

No comments yet — start the thread.

general reviews

Ratings

4.4★★★★★46 reviews

★★★★★Diego Lopez· Dec 24, 2024
Useful defaults in firecrawl-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
★★★★★Kiara Nasser· Dec 12, 2024
Solid pick for teams standardizing on skills: firecrawl-search is focused, and the summary matches what you get after install.
★★★★★Jin Okafor· Dec 12, 2024
We added firecrawl-search from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
★★★★★Maya Wang· Nov 7, 2024
Registry listing for firecrawl-search matched our evaluation — installs cleanly and behaves as described in the markdown.
★★★★★Diego Diallo· Nov 3, 2024
firecrawl-search has been reliable in day-to-day use. Documentation quality is above average for community skills.
★★★★★Amina Ndlovu· Nov 3, 2024
firecrawl-search reduced setup friction for our internal harness; good balance of opinion and flexibility.
★★★★★Jin Gupta· Oct 26, 2024
Useful defaults in firecrawl-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
★★★★★Camila Bhatia· Oct 22, 2024
firecrawl-search fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
★★★★★Min Chen· Oct 22, 2024
firecrawl-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
★★★★★Yuki Zhang· Sep 17, 2024
firecrawl-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

showing 1-10 of 46

1 / 5

firecrawl-search▌

firecrawl search

When to use

Quick start

Options

Tips

See also

How to use firecrawl-search on Cursor

Prerequisites

Execute installation command

Select Cursor when prompted

Verify installation

Security & Verification Notice

Additional Resources

List & Monetize Your Skill

Use Cases▌

User Story & Requirements Generation

Competitive Analysis

Roadmap Prioritization

Stakeholder Communication

Implementation Guide▌

Prerequisites

Time Estimate

Installation Steps

Common Pitfalls

Best Practices▌

✓ Do

✗ Don't

💡 Pro Tips

When to Use This▌

✓ Use When

✗ Avoid When

Learning Path▌

Discussion

Ratings