Run ad-hoc web research on a prospect (company URL or person) — Firecrawl scrapes the marketing site, key pages (pricing, careers, blog), and surfaces a brief.

MITAuto-check: notesData & Analytics

Install Research Prospect

skills CLI
$ npx skills add Othmane-Khadri/YALC-the-GTM-operating-system --skill research-prospect -a claude-code

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

GitHub CLI
$ gh skill install Othmane-Khadri/YALC-the-GTM-operating-system research-prospect --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/Othmane-Khadri/YALC-the-GTM-operating-system.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/research-prospect .claude/skills/research-prospect && 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
research-prospect
GitHub stars
318
Token cost
~490 tokens
SKILL.md length
191 words
Files
2 (incl. references)
Skills in repo
57
Repo updated
First seen
Licence
MIT

At a glance

Run ad-hoc web research on a prospect (company URL or person) — Firecrawl scrapes the marketing site, key pages (pricing, careers, blog), and surfaces a brief.

  • Works in 6 steps: Ask for the URL → Validate URL → Shell out → …
  • The user says research this prospect
  • SKILL.md covers When This Skill Applies, Workflow and Notes
  • Calls npx; needs FIRECRAWL_API_KEY

What it does

Research Prospect is an agent skill from Othmane-Khadri/YALC-the-GTM-operating-system. Run ad-hoc web research on a prospect (company URL or person) — Firecrawl scrapes the marketing site, key pages (pricing, careers, blog), and surfaces a brief. Read-only. Use when the user says 'research this prospect', 'tell me about [company]', 'do a deep dive on [domain]', 'pull a brief on this lead', or 'crawl the marketing site for [name]'. Side-effecting on the Firecrawl side (API call), no local DB writes.

Its SKILL.md is about 490 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/example-output.md`).

It sits in Data & Analytics, covering Web scraping and Landing pages. It works with Firecrawl. The repository describes itself as: YALC 1.0, the open-source Clay alternative. MIT, CLI-first, self-hosted, runs in Claude Code. Yalc today is an intelligent orchestration layer that runs pre configured GTM agents…. The licence is MIT.

When your agent uses it

  • The user says research this prospect
  • Tell me about [company]
  • Do a deep dive on [domain]
  • Pull a brief on this lead

Example prompts

  • “research this prospect”
  • “tell me about [company]”
  • “do a deep dive on [domain]”
  • “/research-prospect”

Requirements

  • Node.js
  • A credential in FIRECRAWL_API_KEY

Workflow steps

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

  1. Ask for the URL
  2. Validate URL
  3. Shell out
  4. Parse output
  5. Render the brief verbatim
  6. Offer follow-ups

What it can do on your machine

Read from SKILL.md and the folder at commit 5686d1f. 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

    Shell commands in SKILL.md call:

    • npx

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

  • Network

    No URLs in SKILL.md. Its commands use npx, 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

Research Prospect loads about 490 tokens when it runs, and up to ~843 if it reads all its reference files. Until then it costs about 109 tokens; SKILL.md has 191 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
~490
With references · SKILL.md plus every file in references/, read only if the agent opens them
~843

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:36
    cd ~/Desktop/gtm-os && set -a && source .env.local && set +a && \
  • NoteMentions a .env fileSKILL.md:54
    quires `FIRECRAWL_API_KEY` in `~/.gtm-os/.env`.

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from Othmane-Khadri/YALC-the-GTM-operating-system at commit 5686d1f, republished under its MIT licence (© Othmane-Khadri). 191 words, ~490 tokens.

Download SKILL.mdSave it as .claude/skills/research-prospect/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
research-prospect
description
Run ad-hoc web research on a prospect (company URL or person) — Firecrawl scrapes the marketing site, key pages (pricing, careers, blog), and surfaces a brief. Read-only. Use when the user says 'research this prospect', 'tell me about [company]', 'do a deep dive on [domain]', 'pull a brief on this lead', or 'crawl the marketing site for [name]'. Side-effecting on the Firecrawl side (API call), no local DB writes.
version
1.0.0

Research Prospect

I'll wrap research. Take a URL, run a Firecrawl scrape against the canonical pages, and produce a brief.

When This Skill Applies

  • "research this prospect"
  • "tell me about [company]"
  • "do a deep dive on [domain]"
  • "pull a brief on this lead"
  • "crawl the marketing site for [name]"

NOT this skill (use enrich-with-signals instead):

  • "pull buying signals" — that's structured PredictLeads data, not narrative research.

NOT this skill (use personalize-message with --enrich instead):

  • "personalize a message for them" — that auto-pulls research as part of the personalization.

Workflow

Step 0 — Ask for the URL

"What's the company URL or LinkedIn profile?"

Step 1 — Validate URL
Step 2 — Shell out
bash
cd ~/Desktop/gtm-os && set -a && source .env.local && set +a && \
  npx tsx src/cli/index.ts research --url <url>
Step 3 — Parse output

CLI emits a brief markdown summary + key facts table.

Step 4 — Render the brief verbatim

Don't summarize the summary — pass through what the CLI returns.

Step 5 — Offer follow-ups

"Want me to (a) personalize a message for someone at this company via personalize-message, (b) check buying signals via enrich-with-signals?"

Notes

  • Requires FIRECRAWL_API_KEY in ~/.gtm-os/.env.
  • Firecrawl call cost varies by depth (default: 1 credit per ~5 pages).
  • Read-only on the local DB — research output is rendered in chat, not persisted.

© Othmane-Khadri, 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 1 other file (references) in .claude/skills/research-prospect of Othmane-Khadri/YALC-the-GTM-operating-system.

  • SKILL.md
  • references/example-output.md

Open the folder on GitHubat commit 5686d1f

Compare with similar skills

Research Prospect 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.

Research Prospect compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Research Prospect this skillOthmane-Khadri/YALC-the-GTM-operating-system318—~490Automated safety check: NotesMIT
Firecrawl Scrapefirecrawl/skills117—~1.8kAutomated safety check: PassISC
Firecrawl Agentfirecrawl/skills117—~1.2kAutomated safety check: PassISC
Firecrawl Company Directoriesfirecrawl/skills117—~557Automated safety check: PassISC
Firecrawl Competitive Intelfirecrawl/skills117—~604Automated safety check: PassISC
Firecrawlzapier/connectors177—~4.2kAutomated safety check: PassElastic-2.0

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Works with

Questions about Research Prospect

What does Research Prospect do?

Run ad-hoc web research on a prospect (company URL or person) — Firecrawl scrapes the marketing site, key pages (pricing, careers, blog), and surfaces a brief. Research Prospect is an agent skill from Othmane-Khadri/YALC-the-GTM-operating-system. Run ad-hoc web research on a prospect (company URL or person) — Firecrawl scrapes the marketing site, key pages (pricing, careers, blog), and surfaces a brief.

When should I use Research Prospect?

Research Prospect fits situations like: the user says research this prospect; tell me about [company]; do a deep dive on [domain]; pull a brief on this lead.

How do I install Research Prospect in Claude Code?

Run `npx skills add Othmane-Khadri/YALC-the-GTM-operating-system --skill research-prospect -a claude-code`. Or copy the skill folder (.claude/skills/research-prospect in Othmane-Khadri/YALC-the-GTM-operating-system) into .claude/skills/research-prospect in your project. Claude Code loads it when a task matches its description.

How do I install Research Prospect in Codex?

Run `npx skills add Othmane-Khadri/YALC-the-GTM-operating-system --skill research-prospect -a codex`. Or copy the skill folder (.claude/skills/research-prospect in Othmane-Khadri/YALC-the-GTM-operating-system) into .agents/skills/research-prospect in your project. Codex loads it when a task matches its description.

Can I use Research Prospect 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 Othmane-Khadri/YALC-the-GTM-operating-system --skill research-prospect -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-prospect, .gemini/skills/research-prospect, .github/skills/research-prospect and .opencode/skills/research-prospect in your project.

What does Research Prospect need to run?

Going by SKILL.md and its folder, Research Prospect needs the command-line tools its instructions call (npx) and credentials named FIRECRAWL_API_KEY. Our summary lists: Node.js; A credential in FIRECRAWL_API_KEY.

Does Research Prospect access the network?

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

Is Research Prospect 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. Review the folder before installing.

What licence does Research Prospect use?

Research Prospect 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 Research Prospect use?

About 490 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 353 tokens, read only when the agent opens those files.

What are the alternatives to Research Prospect?

Skills that share tags, products or a category with Research Prospect: Firecrawl Scrape (firecrawl/skills, 117 stars), Firecrawl Agent (firecrawl/skills, 117 stars), Firecrawl Company Directories (firecrawl/skills, 117 stars) and Firecrawl Competitive Intel (firecrawl/skills, 117 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Prospect?

Othmane-Khadri (a GitHub user) maintains it in Othmane-Khadri/YALC-the-GTM-operating-system, which has 318 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on August 20, 2026.

Source: Othmane-Khadri/YALC-the-GTM-operating-system on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.