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paradigmxyzparadigmxyz/centaur/.agents/skills/company-context/SKILL.md

company-context

Skill1.4k starsChanged 2 months agoLicence not identifiedView on GitHub

Use Centaur's indexed company context and scoped read-only SQL together with direct Slack, Linear, Google Docs, Drive, Calendar, or Granola searches when answering internal company-history, prior-decision, project-context, meeting-context, roadmap/status, or cross-source memory questions. Indexed context includes Slack channels, user-visible Slack DMs, Google Docs, Google Calendar, Linear, and user-visible Granola notes. Use for questions like what was discussed, decided, planned, mentioned, or documented internally, especially when the user did not name one exact source.

We split this skill into the rules it gives an agent

13 rules. 0 are common, 12 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 5 edited versions we read keep these.

  • 12

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Trending

More talk lately.about the whole repository

Dec 2025: 0 mentionsJan 2026: 0 mentionsFeb 2026: 0 mentionsMar 2026: 0 mentionsApr 2026: 0 mentionsMay 2026: 3 mentionsJun 2026: 1 mentionJul 2026: 0 mentionsAug 2026: 8 mentionsSep 2026: 4 mentionsOct 2026: 10 mentionsNov 2026: 0 mentions
Dec 2025Jun 2026Nov 2026
Mentions a month of the paradigmxyz/centaur repository that our weekly crawl found. There is no adoption data for this file yet.

Who's talking about paradigmxyz/centaur

The biggest 5 of 26 mentions linking to the repository that our crawl found. Each line is their own headline.

See all 26

Talked about on GitHub (26 times).

On GitHub · 26

21 more on GitHub
  • Other versions5 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 5

    1. matteotitta/genesys-skills★ 46same name
    2. nocodework/ai-context-kit★ 35same name
    3. Unabyss/unabyss-skills★ 15same name
    4. matteotitta/claude-marketing-context★ 3same name
    5. 30Elevate/company-context★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • Used alongsideProjects with it also use tov-guidelines, icp-research and 1 more.

    Other files people use alongside this one.

    Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
    • matteotittaSkill

      tov-guidelines

      Extracts a company's tone of voice from its own content and turns it into rules a writer or an AI can follow. Phase 1 analyses 15 to 20 pages for sentence, paragraph, word and structure patterns with frequency counts; after the user reviews it, Phase 2 writes the guidelines: tone attributes with before and after examples, a We are / We are not table, tone by context, vocabulary to use and avoid, and open questions. Triggers: "tone of voice", "brand voice", "voice guidelines", "writing style guide", "extract voice from our website", "TOV". Not for visual identity (use /brand-kit) or messaging (use /messaging).

      Also in 3 projects that use this

    • matteotittaSkill

      icp-research

      Builds an ideal customer profile from evidence: case studies, testimonials, customer logos, solutions pages, reviews and any sales notes you have. Produces market sizing layers, firmographic segments, a champion and an economic buyer persona, a negative ICP, intent signals, customer proof points and a voice-of-customer section in the buyers' own words, every claim sourced. Triggers: "ICP research", "ideal customer profile", "who are our customers", "customer segments", "buyer personas", "who should we target". Run after /company-context. Not for competitor analysis (use /competitor-research) or call transcript patterns (use /win-loss).

      Also in 3 projects that use this

    • YepAPISkill

      competitor-research

      Competitive analysis between domains using YepAPI.

      Also in 3 projects that use this

  • In this repository14 other files it gives its agents.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

Reviews can't be read right now.

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