agentsclimarketplace

Competitive intelligence

Skill matellez/claude-skills/job-search/competitive-intelligence

AUTO-TRIGGER: Apply this skill when the user mentions a company they are interviewing with, preparing for an interview at, or researching for a job application. Trigger phrases include: "I have an interview at," "I'm interviewing with," "tell me about [company]," "research [company] for me," "what do I need to know about [company]," or any request to prepare for a specific company meeting or interview. Also trigger when the user shares a company name alongside a job title, job posting, or recruiter name -- these signals indicate interview prep. Do NOT trigger for general industry research, trend analysis, or news requests that are not tied to a specific company and interview.From its SKILL.md

Install
npx -y skills add matellez/claude-skills --skill competitive-intelligence

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

4.4 KB, 850 tokens by cl100k_base, as published. Nobody here has run it

Competitive Intelligence: Interview Prep Briefs

This skill runs automatically when the user is preparing for an interview or researching a specific company for a job application. Always search the web before writing anything. Do not rely on training data for company information.


HOW TO SET UP THIS SKILL

Replace the [PLACEHOLDER] sections below with your own background before adding this file to your Claude Project. The more specific you are about your background and target roles, the more relevant the talking points and questions Claude generates will be.


Who This Person Is

Name: [Your full name]

Target roles: [List 3-5 role titles you are actively applying for]

Background: [2-3 sentences summarizing your core expertise, years of experience, key tools, and functional areas.]

Typical interview process for your roles: [Describe the typical stages you encounter, e.g.:

  • Recruiter screen
  • Hiring manager
  • Panel interview
  • Take-home exercise]

Step 1: Search First

When this skill triggers, immediately run web searches on the company. Do not write the brief until you have current information from the web.

Required searches:

  1. Company name + "news [current year]"
  2. Company name + "funding" or "acquisition" or "PE"
  3. Company name + your functional area
  4. Company name + "reviews" or "Glassdoor"
  5. Company name + job title if provided

Run additional searches if gaps remain.


Step 2: Build the Intel Brief

Deliver the output in this exact format.

COMPANY INTEL BRIEF [Company Name] Prepared: [Today's date] Role: [Role title if provided, otherwise "Not specified"]

WHAT THEY DO [2-3 sentences. Plain language. What product or service, who they sell to, what problem they solve. No marketing speak.]

OWNERSHIP AND FINANCIAL CONTEXT [Public or private. PE-backed, VC-backed, or bootstrapped. Any recent funding rounds, acquisitions, or notable financial events. If PE-backed, name the firm if known.]

RECENT NEWS (last 6 months)

  • [Item 1: what happened, source, date]
  • [Item 2: what happened, source, date]
  • [Item 3: what happened, source, date] [If no recent news is found, say so directly.]

SIGNALS RELEVANT TO YOUR ROLE [Anything relevant to the user's functional background:]

  • Known tech stack
  • Recent hires or leadership changes
  • Job postings that reveal what they are building
  • Product launches affecting go-to-market [If nothing found, note that and suggest what to ask in the interview.]

CULTURE AND LEADERSHIP SIGNALS [Glassdoor rating if available. Common review themes. CEO approval rating if visible. Notable leadership changes.]

ICP AND GO-TO-MARKET [Who do they sell to? Company size, verticals, buyer persona. How do they go to market. Average deal size if known. Sales cycle if known.]

INTERVIEW TALKING POINTS [3-5 specific things you can reference to show you did your homework. Connect each to your skills or experience where possible.]

SMART QUESTIONS TO ASK [5 questions to ask the interviewer that show functional fluency and business acumen. Not answerable from the website.]

RED FLAGS TO WATCH [Anything in the research that warrants caution. High turnover, financial instability, culture issues, or anything that does not add up. Be direct.]

BOTTOM LINE [One short paragraph. Should this role be a priority? Biggest opportunity and biggest risk. Be direct.]


Output Rules

  • No em dashes. Use commas or periods.
  • Describe the company factually. No marketing language.
  • If information is not found, say "not found." Do not fill gaps with guesses.
  • Cite sources by name when referencing specific claims.
  • Deliver the full brief in one response.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most hr recruiting skills give in 850 tokens

Counted across 356 of the 357 authors here whose files we hold, read 2026-08-07

  • Quantify achievements with specific metricsin 14 of 356, across 6 files
  • Keep the resume under two pagesin 14 of 356, across 6 files
  • Request the full job description if not providedin 12 of 356, across 4 files
  • Extract keywords and prioritize job requirementsin 12 of 356, across 4 files
  • Stop and ask for clarification if required inputs are missingin 12 of 356, across 5 files
  • Map candidate experience to job requirementsin 11 of 356, across 3 files
  • Ask if the user wants adjustmentsin 11 of 356, across 3 files
  • Provide strengths and gap analysis after the resumein 10 of 356, across 2 files
  • Request candidate background details if not providedin 10 of 356, across 2 files
  • Format experience bullets as action verb plus resultin 10 of 356, across 2 files
  • Ask for missing inputs before startingin 10 of 356, across 9 files
  • Use exact job description terminologyin 9 of 356, across 1 file

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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