Agent skill

Firecrawl Research

by glebis in glebis/claude-skills

This skill should be used when the user requests to research topics using FireCrawl, enrich notes with web sources, search and scrape information, or write scientific/academic papers.

MITAuto-check: notesResearch & Science

Install Firecrawl Research

skills CLI
$ npx skills add glebis/claude-skills --skill firecrawl-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install glebis/claude-skills firecrawl-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/firecrawl-research .claude/skills/firecrawl-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
firecrawl-research
GitHub stars
390
Token cost
~2.2k tokens
SKILL.md length
747 words
Files
10 (incl. scripts, assets)
Skills in repo
92
Repo updated
First seen
Licence
MIT

At a glance

This skill should be used when the user requests to research topics using FireCrawl, enrich notes with web sources, search and scrape information, or write scientific/academic papers.

  • Works in 3 steps: Topic Extraction → Search and Scrape → Output Generation
  • Requests to research topics using FireCrawl
  • SKILL.md covers Overview, When to Use This Skill, How It Works and Usage, plus 6 more sections
  • Runs Python scripts from its folder; calls python and pip; needs FIRECRAWL_API_KEY

What it does

Firecrawl Research is an agent skill from glebis/claude-skills. This skill should be used when the user requests to research topics using FireCrawl, enrich notes with web sources, search and scrape information, or write scientific/academic papers. It extracts research topics from markdown files, creates research documents with scraped sources, generates BibTeX bibliographies from research results, and provides Pandoc/MyST templates for academic writing with citation management.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts and assets (for example `.claude-plugin/plugin.json`, `assets/templates/myst-scientific-paper.md` and `assets/templates/pandoc-scholarly-paper.md`).

It sits in Research & Science, covering Web scraping and Citation management. It works with Firecrawl, LaTeX and Pandoc. The repository describes itself as: Collection of Claude Code skills for enhanced AI workflows. The licence is MIT.

When your agent uses it

  • Requests to research topics using FireCrawl
  • Enrich notes with web sources
  • Search and scrape information
  • Write scientific/academic papers

Example prompts

  • “/firecrawl-research”

Requirements

  • Python 3
  • A credential in FIRECRAWL_API_KEY

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Topic Extraction
  2. Search and Scrape
  3. Output Generation

What it can do on your machine

Read from SKILL.md and the folder at commit 3b88261. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • FIRECRAWL_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Firecrawl Research loads about 2.2k tokens when it runs. Until then it costs about 109 tokens; SKILL.md has 747 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~109
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:86
    1. Copy `.env.example` to `.env`:
  • NoteMentions a .env fileSKILL.md:88
    cp .env.example .env
  • NoteMentions a .env fileSKILL.md:96
    ally loads the API key from the skill's `.env` file.
  • NoteMentions a .env fileSKILL.md:173
    Create `.env` file in skill folder with `FIRECRAWL_API_KEY=...`

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from glebis/claude-skills at commit 3b88261, republished under its MIT licence (© glebis). 747 words, ~2,189 tokens.

Download SKILL.mdSave it as .claude/skills/firecrawl-research/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
firecrawl-research
description
This skill should be used when the user requests to research topics using FireCrawl, enrich notes with web sources, search and scrape information, or write scientific/academic papers. It extracts research topics from markdown files, creates research documents with scraped sources, generates BibTeX bibliographies from research results, and provides Pandoc/MyST templates for academic writing with citation management.

FireCrawl Research

Overview

Enrich research documents by automatically searching and scraping web sources using the FireCrawl API. Extract research topics from markdown files and generate comprehensive research documents with source material.

When to Use This Skill

Use this skill when the user:

  • Says "Research this topic using FireCrawl"
  • Requests to enrich notes or documents with web sources
  • Wants to gather information about topics listed in a markdown file
  • Needs to search and scrape multiple topics systematically

How It Works

1. Topic Extraction

The script automatically extracts research topics from markdown files using two methods:

Method 1: Headers

markdown
## Spatial Reasoning in AI
### Computer Vision Applications

Both Spatial Reasoning in AI and Computer Vision Applications become research topics.

Method 2: Research Tags

markdown
- [research] Large Language Models for robotics
- [search] Theory of Mind in autonomous driving

Both tagged items become research topics.

2. Search and Scrape

For each topic:

  1. Searches FireCrawl with the topic as query
  2. Retrieves up to N results (default: 5)
  3. Automatically scrapes full content from each result
  4. Extracts markdown-formatted content (main content only)
3. Output Generation

Creates new markdown files in the specified output directory:

  • One file per topic
  • Filename: {topic}_{timestamp}.md
  • Contains: title, date, sources count, full scraped content
  • Each source includes: title, URL, markdown content

Usage

Basic Usage
bash
python scripts/firecrawl_research.py research.md

Outputs to current directory.

Specify Output Directory
bash
python scripts/firecrawl_research.py research.md ./output

Creates files in ./output/ folder.

Limit Results Per Topic
bash
python scripts/firecrawl_research.py research.md ./output 3

Retrieves maximum 3 results per topic.

Configuration

API Key Setup
  1. Copy .env.example to .env:

    bash
    cp .env.example .env
  2. Add FireCrawl API key:

    FIRECRAWL_API_KEY=fc-your-actual-api-key

The script automatically loads the API key from the skill's .env file.

Rate Limiting

The script includes automatic rate limiting for FireCrawl's free tier:

  • Free tier limit: 5 requests/minute
  • Built-in delay: 12 seconds between topics
  • Prevents API errors and credit exhaustion

When processing multiple topics, expect:

  • 5 topics: ~1 minute
  • 10 topics: ~2 minutes
  • 20 topics: ~4 minutes

Workflow Example

User request: "Research these AI topics using FireCrawl"

Input file (ai-research.md):

markdown
# AI Research Topics

## Spatial Reasoning in Vision-Language Models

- [research] Embodied AI for robotics
- [research] Computer Use Agents

Command:

bash
python scripts/firecrawl_research.py ai-research.md ./research_output 5

Output:

research_output/
├── Spatial_Reasoning_in_Vision-Language_Models_20251122_140530.md
├── Embodied_AI_for_robotics_20251122_140542.md
└── Computer_Use_Agents_20251122_140554.md

Each file contains:

  • Topic title
  • Timestamp
  • Source count
  • Full scraped content from up to 5 sources
  • Source URLs

Common Patterns

Pattern 1: Quick Research

Extract topics from existing notes, research them, save to current folder:

bash
python scripts/firecrawl_research.py my-notes.md
Pattern 2: Organized Research

Create dedicated output folder for research results:

bash
python scripts/firecrawl_research.py topics.md ./research_results
Pattern 3: Deep Dive

Increase results per topic for comprehensive coverage:

bash
python scripts/firecrawl_research.py topics.md ./deep_research 10
Pattern 4: Obsidian Vault Integration

Direct output to vault's research folder:

bash
python scripts/firecrawl_research.py topics.md ~/Brains/brain/Research

Error Handling

"API key not found"

Create .env file in skill folder with FIRECRAWL_API_KEY=...

"Rate limit exceeded"
  • Free tier: 5 req/min
  • Script has 12s delay built-in
  • If still hitting limit, reduce topics or wait between runs
"Insufficient credits"
  • Check FireCrawl account credits
  • Upgrade plan or wait for credit reset
"No topics found"

Add topics to markdown using:

  • ## Header format
  • - [research] Topic format
  • - [search] Topic format
Show full SKILL.md (312 more words)Show less

Script Details

Location: scripts/firecrawl_research.py

Dependencies:

  • python-dotenv - Environment variable management
  • requests - HTTP requests to FireCrawl API

Install dependencies:

bash
pip install python-dotenv requests

FireCrawl Features Used:

  • /v1/search endpoint - Search with automatic scraping
  • scrapeOptions.formats: ['markdown'] - Markdown output
  • scrapeOptions.onlyMainContent: true - Filter noise

Academic Writing Templates

This skill includes templates for writing scientific papers in markdown format.

Available Templates

1. Pandoc Scholarly Paper (assets/templates/pandoc-scholarly-paper.md)

  • Standard academic paper format
  • Compatible with Pandoc converter
  • Supports citations via BibTeX
  • Exports to PDF, DOCX, HTML

2. MyST Scientific Paper (assets/templates/myst-scientific-paper.md)

  • MyST (Markedly Structured Text) format
  • Advanced cross-referencing
  • Professional scientific publishing
  • Multi-format export (PDF, LaTeX, DOCX)
Using Templates

Copy template to your project:

bash
cp assets/templates/pandoc-scholarly-paper.md my-paper.md
# or
cp assets/templates/myst-scientific-paper.md my-paper.md

Edit content:

  • Update YAML frontmatter (title, authors, affiliations)
  • Write your content in sections
  • Add citations using [@AuthorYear] (Pandoc) or {cite}\AuthorYear`` (MyST)

Convert to PDF/DOCX:

bash
python scripts/convert_academic.py my-paper.md pdf
python scripts/convert_academic.py my-paper.md docx
python scripts/convert_academic.py my-paper.md pdf --myst  # For MyST
Bibliography Generation

Convert FireCrawl research results into BibTeX bibliography entries:

bash
python scripts/generate_bibliography.py research_output/*.md -o references.bib

What it does:

  • Extracts URLs and titles from FireCrawl markdown files
  • Generates BibTeX @misc entries
  • Creates citation keys automatically
  • Adds access dates

Example workflow:

bash
# 1. Research topics
python scripts/firecrawl_research.py topics.md ./research

# 2. Generate bibliography
python scripts/generate_bibliography.py research/*.md -o refs.bib

# 3. Copy template
cp assets/templates/pandoc-scholarly-paper.md paper.md

# 4. Edit paper.md (add content, cite sources)

# 5. Convert to PDF
python scripts/convert_academic.py paper.md pdf
Citation Examples

Pandoc syntax:

markdown
Recent research [@Smith2024] shows...
Multiple studies [@Jones2023; @Brown2024] indicate...

MyST syntax:

markdown
Recent research {cite}`Smith2024` shows...
Multiple studies {cite}`Jones2023,Brown2024` indicate...
Example Bibliography File

An example bibliography is provided in assets/references.bib with common entry types:

  • Journal articles (@article)
  • Conference papers (@inproceedings)
  • Books (@book)
  • PhD theses (@phdthesis)
  • Web resources (@misc)
  • Preprints (@article with arXiv)

Tips

  1. Organize topics hierarchically - Use ## for main topics, ### for subtopics
  2. Use descriptive names - Topic text becomes filename, make it clear
  3. Batch processing - Group related topics in one file for efficiency
  4. Output organization - Create separate folders for different research projects
  5. Content review - Results are truncated at 3000 chars/source for readability
  6. Academic workflow - Use bibliography generator to cite research sources in papers
  7. Template customization - Modify templates for your field's citation style

Limitations

  • No summarization - Returns raw scraped content, not summaries
  • No deduplication - Duplicate sources may appear across topics
  • No quality ranking - All results treated equally
  • New files only - Does not append to existing files
  • Free tier constraints - Rate limiting affects processing speed

© glebis, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 9 other files (scripts, assets) in firecrawl-research of glebis/claude-skills.

  • SKILL.md
  • .claude-plugin/plugin.json
  • .env.example
  • assets/references.bib
  • assets/templates/myst-scientific-paper.md
  • assets/templates/pandoc-scholarly-paper.md
  • requirements.txt
  • scripts/convert_academic.py
  • scripts/firecrawl_research.py
  • scripts/generate_bibliography.py

Open the folder on GitHubat commit 3b88261

Compare with similar skills

Firecrawl Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Firecrawl Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Firecrawl Research this skillglebis/claude-skills390—~2.2kAutomated safety check: NotesMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Deep Researchaffaan-m/ECC276k—~1.5kAutomated safety check: WarnMIT
Firecrawl Workflowsfirecrawl/skills117—~1.3kAutomated safety check: PassISC
Citation Managementneflibata-feng/MyArxiv-Agent12619 repos~8.1kAutomated safety check: NotesMIT
Literature Review AgentAr9av/PaperOrchestra6771 repos~5.2kAutomated safety check: PassCustom licence

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Questions about Firecrawl Research

What does Firecrawl Research do?

This skill should be used when the user requests to research topics using FireCrawl, enrich notes with web sources, search and scrape information, or write scientific/academic papers. Firecrawl Research is an agent skill from glebis/claude-skills. This skill should be used when the user requests to research topics using FireCrawl, enrich notes with web sources, search and scrape information, or write scientific/academic papers.

When should I use Firecrawl Research?

Firecrawl Research fits situations like: requests to research topics using FireCrawl; enrich notes with web sources; search and scrape information; write scientific/academic papers.

How do I install Firecrawl Research in Claude Code?

Run `npx skills add glebis/claude-skills --skill firecrawl-research -a claude-code`. Or copy the skill folder (firecrawl-research in glebis/claude-skills) into .claude/skills/firecrawl-research in your project. Claude Code loads it when a task matches its description.

How do I install Firecrawl Research in Codex?

Run `npx skills add glebis/claude-skills --skill firecrawl-research -a codex`. Or copy the skill folder (firecrawl-research in glebis/claude-skills) into .agents/skills/firecrawl-research in your project. Codex loads it when a task matches its description.

Can I use Firecrawl Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add glebis/claude-skills --skill firecrawl-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/firecrawl-research, .gemini/skills/firecrawl-research, .github/skills/firecrawl-research and .opencode/skills/firecrawl-research in your project.

What does Firecrawl Research need to run?

Going by SKILL.md and its folder, Firecrawl Research needs Python for the scripts in its folder, the command-line tools its instructions call (python and pip) and credentials named FIRECRAWL_API_KEY. Our summary lists: Python 3; A credential in FIRECRAWL_API_KEY.

Does Firecrawl Research access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Firecrawl Research safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Firecrawl Research use?

Firecrawl Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Firecrawl Research use?

About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Firecrawl Research?

Skills that share tags, products or a category with Firecrawl Research: Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars), Deep Research (affaan-m/ECC, 276k stars), Firecrawl Workflows (firecrawl/skills, 117 stars) and Citation Management (neflibata-feng/MyArxiv-Agent, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Firecrawl Research?

glebis (a GitHub user) maintains it in glebis/claude-skills, which has 390 GitHub stars. The repository holds 92 skills in this directory. The repository was last updated on October 8, 2026.

Source: glebis/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.