claude

fiber

B2B data enrichment — search companies, find contacts, enrich data, manage audiences

2 on GitHubby Fiber AIv1.0.1MITupdated 27 days agodata
/

Plugin fiber from marketplace fiber-tools in fiber-ai/fiber-ai-plugin. Commands read from the repo's manifest — 27 days ago.

This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.

What it installs

Skills (16)

  • audience

    Create and manage Fiber AI audiences for bulk operations — search, enrich, and export lists of companies or contacts at scale. Use when the user wants to build a prospecting list or do bulk data operations.

  • benchmark-vs-competitor

    Run a reproducible, pre-registered benchmark comparing Fiber AI to a competing data provider (People Data Labs, Apollo, Clearbit, ZoomInfo, Coresignal, or any other API the user has credentials for) on the user's own sample. Reports honest side-by-side numbers including where Fiber underperformed. U

  • build-recruiting-audience

    Build a recruiting-grade audience of candidates using Fiber AI - search, enrich work and personal emails, reveal phones, and export prospect CSVs. Use this when the user says "build a recruiting list", "find me candidates for role X at companies like Y", "talent audience", "recruiting audience", "so

  • enrich-github-handles

    Resolve GitHub handles or profile URLs into LinkedIn profiles and full contact enrichment using Fiber AI. Use this when the user says "I have GitHub handles", "enrich these engineers by GitHub", "find LinkedIn for these GitHub users", "developer enrichment", "OSS contributors list", "dev candidate e

  • enrich-linkedin-csv

    Enrich a list of LinkedIn URLs with work emails, personal emails, and phone numbers using Fiber AI. Use this when the user says "enrich these LinkedIn URLs", "I have a CSV of people", "bulk reveal emails for these profiles", "get contact info for this list", "decorate these contacts with phone/email

  • enrich

    Enrich companies or contacts with emails, phone numbers, and detailed profiles using Fiber AI. Use when the user wants to reveal contact information or get more details about a company or person.

  • expand-from-email-list

    Turn a list of email addresses into full people + company records using Fiber AI reverse email lookup, then optionally pull fresh LinkedIn data and extra contact fields. Use this when the user says "I have emails, give me more info", "reverse lookup these emails", "I have a list of emails from our C

  • find-and-enrich-by-role

    Find prospects by role + company criteria and enrich a shortlist with contact details using Fiber AI. Use this when the user says "find VPs of Engineering at fintech startups", "CMOs at Series B SaaS", "heads of sales at X companies", "find me 20 CTOs in healthcare", "prospect by role + company", "s

  • find-similar-companies

    Find lookalike companies from one or more seed accounts using Fiber AI. Use this when the user says "find companies like <seed>", "competitors of <seed>", "similar to <seed>", "lookalike accounts", "companies that look like our best customers", "ABM lookalikes", "seed-based company search", or other

  • help

    Show what Fiber AI can do and how to use it. Use when the user asks about Fiber AI capabilities, available commands, or needs general guidance.

  • quickstart

    Guided first-run experience that proves Fiber AI value in under 60 seconds. Verifies the API key, searches for companies in the user's industry, and reveals one contact - all in one flow. Use this when the user says "quickstart", "get started", "first run", "try Fiber", "show me what Fiber can do",

  • sdk-py

    Help writing Python code using the fiberai package. Use when the user wants to build a Python application, script, or automation that calls Fiber AI APIs programmatically.

  • sdk-ts

    Help writing TypeScript or JavaScript code using the @fiberai/sdk package. Use when the user wants to build an application, integration, or automation that calls Fiber AI APIs programmatically.

  • search

    Search for companies or people using Fiber AI. Use when the user wants to find companies by criteria (location, industry, size, tech stack) or search for individual prospects.

  • setup

    Set up Fiber AI tools in the current environment. Use when the user needs to configure API keys, verify MCP connection, or install SDKs.

  • track-signals

    Track buying and hiring signals on a seed list of people and companies - job changes (Journeyman), hiring intent (job postings), social activity (LinkedIn posts), and funding rounds - using Fiber AI. Use this when the user says "track signals", "watch these accounts for hiring intent", "alert me whe

MCP servers (3)

  • fiber-ai-v2

    connects to: https://mcp.fiber.ai/mcp/v2

  • fiber-ai-v3

    connects to: https://mcp.fiber.ai/mcp/v3

  • fiber-ai-core

    connects to: https://mcp.fiber.ai/mcp

Hooks (1)

  • SessionStart
View source on GitHub fiber.ai

Similar plugins

Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data

9 skills · 9 commands · 11 agents · 1 MCP server

ruvnet/ruflo 81,589

Automates browser interactions for web testing, form filling, screenshots, and data extraction

12 skills

vercel-labs/agent-browser 50,373

Databricks skills for the CLI, Apps, Lakebase, Model Serving, Lakeflow Jobs, Spark Declarative Pipelines, Declarative Automation Bundles (DABs), and classic-to-serverless migration.

37 skills · 2 commands · hooks

anthropics/claude-plugins-official 47,076

The official CCXT MCP server plus the ccxt-mcp usage skill — market data, balances and opt-in trading across 100+ crypto exchanges and prediction markets, with keys kept local.

1 MCP server

ccxt/ccxt 44,873

llm-finetuning

claudecodex

Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.

10 skills · 2 commands · 3 agents

wshobson/agents 42,461

Maintain fiber?

This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.

claude & codex pluginslisted