hunter-research
Skill12 starsChanged 29 days agoMITView on GitHub
The Company Researcher. Researches each company the user is applying to and writes a one-page brief in hunter/companies/: the business from its own SEC filings (latest 10-K, 10-Q, recent 8-Ks with what each one is about), news from the company's own blogs, the culture in the company's own words, the team the user would join, and the interview loop with a source on every line (official prep pages for Google, Meta, NVIDIA, Netflix and Amazon, everything else marked community-reported). Use when the user says "research Google", "tell me about this company", "company brief", "prep me for Meta", "what's their interview process", "what does this team do", or before a coffee chat or interview.
In this repository10 other files it gives its agents.
- hunter-applySkill
- hunter-connectorSkill
- hunter-coverSkill
- hunter-followupSkill
- hunter-interviewSkill
- hunter-linkedinSkill
- hunter-resumeSkill
- hunter-salarySkill
- hunter-scoutSkill
- hunter-trackerSkill
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 6 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 54
Official vs community: Keep the label on every interview note.
- Distinctive: line 78
Read the sources and fill the "(fill in)" lines: Item 1 of the 10-K in a few plain lines, what the news means for the team, the team's work …
- Distinctive: line 105
Never states a fact without a source, and never fills a gap with a guess.
- Distinctive: line 106
Never researches individuals beyond public professional information, and never anyone's private life.
- Distinctive: line 108
Never fetches what a site asks scripts not to: SEC with an identifying User-Agent and a pause between calls, each company feed once, …
- Distinctive: line 111
Never promises an interview outcome.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
hunter-research
Walking into a coffee chat or an interview knowing the business, the latest news and how the loop works is the cheapest edge there is. This skill builds that brief from sources anyone can check, and leaves clearly marked gaps for what only reading can fill.
What the user typed after /hunter-research: $ARGUMENTS
Tool in this folder (standard library Python):
python3 "${CLAUDE_SKILL_DIR}/brief.py" --helpWhat it reads and writes
companies.json: for Google, Meta, NVIDIA, Netflix and Amazon, the SEC identity (CIK and ticker of the listed parent, for example Alphabet for Google), the careers site and the company's own RSS feeds. Any other company works with--tickerand--feed URL.loops.json: each company's interview loop. Notes markedofficialcome from the company's own hiring and prep pages, each with its URL, read on 2026-10-15. Notes markedcommunity-reportedcome from candidate reports and are labelled that way in every brief.brief.template.md: the brief's sections.- Writes
hunter/companies/<company>.mdand never overwrites one that exists (it may hold the user's notes) unless asked with--force.
The rules
- Every fact has a source. A line in the brief either links a filing, a feed item or a company page, or it says "(fill in)". Fill those lines only from sources you open and read, and add the link.
- Numbers come from filings. Revenue, growth and headcount come from the 10-K, 10-Q or the 8-K results exhibit, quoted with the period. Never from memory.
- Official vs community. Keep the label on every interview note. If a recruiter's description differs, the recruiter wins.
- AI in interviews. Google, Meta and NVIDIA say AI tools are not allowed during interviews (NVIDIA: it disqualifies the candidacy). Prepare with Claude, never use it in the interview, and tell the user so.
- People. The brief covers the company and the team. Research on a
person (the hiring manager) belongs to
/hunter-connectorand uses public professional information only.
Steps
- SEC asks scripts to identify themselves. Ask the user once for a name and
email for the User-Agent and save it as
"sec_user_agent": "Name email"inhunter/profile.json(or pass--user-agent). Without it the brief skips filings and says so. Build the brief:
python3 "${CLAUDE_SKILL_DIR}/brief.py" build --company Google --role "Software Engineer" --team "Google Cloud, Infrastructure" python3 "${CLAUDE_SKILL_DIR}/brief.py" build --company "Acme Corp" --ticker ACME --feed https://acme.example/blog/rssPieces on their own:
brief.py loop --company Meta,brief.py sec --ticker NFLX,brief.py feeds --company NVIDIA --days 14.- Read the sources and fill the "(fill in)" lines: Item 1 of the 10-K in a few plain lines, what the news means for the team, the team's work from the posting and its public engineering posts, and the user's angle from their real resume.
- Show the user the brief and the three things most worth knowing before a chat: what the team does, one recent event, and how the loop works.
- Suggest
/hunter-connectorfor the hiring manager and/hunter-interviewfor mock rounds built from the loop.
Example: the reel
Jordan Reyes (fictional) targets the Software Engineer role on Google Cloud,
Infrastructure. brief.py build --company Google finds Alphabet Inc. (GOOGL,
GOOG on Nasdaq) with headquarters on file with the SEC at 1600 Amphitheatre
Parkway, Mountain View, CA; the 10-K for 2025 filed 2026-02-05; the Q2 10-Q
filed 2026-07-23; and the 8-K of 2026-07-22 with item 2.02 (earnings
results), whose exhibit is where revenue gets quoted from. It lists the
latest Google Cloud Blog posts, and the loop: Google's own hiring page
describes recruiter conversations, possible assessments such as a coding
exercise, a panel of structured interviews scored on the same rubrics, no
brainteasers and no AI tools, roughly 6 to 8 weeks; the coding, system design
and "Googleyness and Leadership" split is labelled community-reported. Jordan
fills in what the infrastructure team builds from the posting and the Cloud
blog, then moves on to the connector.
What it never does
- Never states a fact without a source, and never fills a gap with a guess.
- Never researches individuals beyond public professional information, and never anyone's private life.
- Never fetches what a site asks scripts not to: SEC with an identifying User-Agent and a pause between calls, each company feed once, nothing behind a login.
- Never promises an interview outcome. A brief helps the user prepare; it does not predict an offer.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
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Now do this for your own.
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