Agent skill

Run Competitive Intel

by Othmane-Khadri in Othmane-Khadri/YALC-the-GTM-operating-system

Pull competitive intelligence on a competitor — pricing, positioning, recent changes, customer stories — via the competitive-intel CLI.

MITAuto-check: notesMarketing & SEO

Install Run Competitive Intel

skills CLI
$ npx skills add Othmane-Khadri/YALC-the-GTM-operating-system --skill run-competitive-intel -a claude-code

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

GitHub CLI
$ gh skill install Othmane-Khadri/YALC-the-GTM-operating-system run-competitive-intel --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/run-competitive-intel .claude/skills/run-competitive-intel && 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
run-competitive-intel
GitHub stars
318
Token cost
~445 tokens
SKILL.md length
152 words
Files
2 (incl. references)
Skills in repo
57
Repo updated
First seen
Licence
MIT

At a glance

Pull competitive intelligence on a competitor — pricing, positioning, recent changes, customer stories — via the competitive-intel CLI.

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

What it does

Run Competitive Intel is an agent skill from Othmane-Khadri/YALC-the-GTM-operating-system. Pull competitive intelligence on a competitor — pricing, positioning, recent changes, customer stories — via the competitive-intel CLI. Use when the user says 'analyze this competitor', 'pull competitive intel on [company]', 'compare us to [competitor]', 'what's [company] doing differently', or 'audit [competitor] pricing'. Side-effecting — calls Firecrawl + Anthropic, writes to local cache.

Its SKILL.md is about 450 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 Marketing & SEO, covering Web scraping, Storytelling and Competitor analysis. 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 analyze this competitor
  • Pull competitive intel on [company]
  • Compare us to [competitor]
  • Whats [company] doing differently

Example prompts

  • “analyze this competitor”
  • “pull competitive intel on [company]”
  • “compare us to [competitor]”
  • “/run-competitive-intel”

Requirements

  • Node.js
  • A credential in FIRECRAWL_API_KEY
  • A credential in ANTHROPIC_API_KEY

Workflow steps

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

  1. Ask for the competitor 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
    • ANTHROPIC_API_KEY

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

Context cost

Run Competitive Intel loads about 445 tokens when it runs, and up to ~863 if it reads all its reference files. Until then it costs about 104 tokens; SKILL.md has 152 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~104
When it runs · the whole SKILL.md, loaded when a task matches
~445
With references · SKILL.md plus every file in references/, read only if the agent opens them
~863

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:33
    cd ~/Desktop/gtm-os && set -a && source .env.local && set +a && \

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). 152 words, ~445 tokens.

Download SKILL.mdSave it as .claude/skills/run-competitive-intel/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
run-competitive-intel
description
Pull competitive intelligence on a competitor — pricing, positioning, recent changes, customer stories — via the competitive-intel CLI. Use when the user says 'analyze this competitor', 'pull competitive intel on [company]', 'compare us to [competitor]', 'what's [company] doing differently', or 'audit [competitor] pricing'. Side-effecting — calls Firecrawl + Anthropic, writes to local cache.
version
1.0.0

Run Competitive Intel

I'll wrap competitive-intel. Take a competitor URL, run the analysis pipeline, and surface the comparative brief.

When This Skill Applies

  • "analyze this competitor"
  • "pull competitive intel on [company]"
  • "compare us to [competitor]"
  • "what's [company] doing differently"
  • "audit [competitor] pricing"

NOT this skill (use research-prospect instead):

  • "research this company" — that's a brief on a prospect, not a comparative analysis.

Workflow

Step 0 — Ask for the competitor URL

"What's the competitor URL?"

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 competitive-intel --competitor <url>
Step 3 — Parse output

CLI emits a markdown comparative brief: their positioning vs. ours, pricing diff, customer-story angles, recent changes detected.

Step 4 — Render the brief verbatim
Step 5 — Offer follow-ups

"Want me to (a) draft a sales battle card from this, (b) personalize an outbound message that addresses their positioning?"

Notes

  • Requires FIRECRAWL_API_KEY + ANTHROPIC_API_KEY.
  • Reads our own positioning from ~/.gtm-os/company_context.yaml.
  • Read-only on the user-data DB; writes to a competitive-intel cache.

© 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/run-competitive-intel 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

Run Competitive Intel 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.

Run Competitive Intel compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Run Competitive Intel this skillOthmane-Khadri/YALC-the-GTM-operating-system318—~445Automated safety check: NotesMIT
Competitor Analysisaaron-he-zhu/aaron-marketing-skills2.9k1 repos~2kAutomated safety check: PassApache-2.0
Competitor Ad Intelligencegithub/awesome-copilot40k1 repos~3.2kAutomated safety check: PassMIT
Competitor Analysissocial-media-skills/skills134—~1.3kAutomated safety check: PassMIT
Competitor Comparison Matrixfirecrawl/web-agent1.2k—~1.1kAutomated safety check: PassMIT
SEO DataforseoAgriciDaniel/codex-seo7992 repos~4.6kAutomated safety check: PassMIT

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Works with

Categories

Questions about Run Competitive Intel

What does Run Competitive Intel do?

Pull competitive intelligence on a competitor — pricing, positioning, recent changes, customer stories — via the competitive-intel CLI. Run Competitive Intel is an agent skill from Othmane-Khadri/YALC-the-GTM-operating-system. Pull competitive intelligence on a competitor — pricing, positioning, recent changes, customer stories — via the competitive-intel CLI.

When should I use Run Competitive Intel?

Run Competitive Intel fits situations like: the user says analyze this competitor; pull competitive intel on [company]; compare us to [competitor]; whats [company] doing differently.

How do I install Run Competitive Intel in Claude Code?

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

How do I install Run Competitive Intel in Codex?

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

Can I use Run Competitive Intel 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 run-competitive-intel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/run-competitive-intel, .gemini/skills/run-competitive-intel, .github/skills/run-competitive-intel and .opencode/skills/run-competitive-intel in your project.

What does Run Competitive Intel need to run?

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

Does Run Competitive Intel 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 Run Competitive Intel 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 Run Competitive Intel use?

Run Competitive Intel 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 Run Competitive Intel use?

About 445 tokens (SKILL.md is roughly 1.8k 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 418 tokens, read only when the agent opens those files.

What are the alternatives to Run Competitive Intel?

Skills that share tags, products or a category with Run Competitive Intel: Competitor Analysis (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), Competitor Ad Intelligence (github/awesome-copilot, 40k stars), Competitor Analysis (social-media-skills/skills, 134 stars) and Competitor Comparison Matrix (firecrawl/web-agent, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Run Competitive Intel?

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.