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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.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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. Use this when the user says "compare Fiber to <vendor>", "bake-off", "benchmark data quality", "which provider is better for my segment", "test data providers", "evaluate Fiber AI", or "should I switch from <vendor> to Fiber".
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", or otherwise hands over a set of LinkedIn identifiers and wants contact data back.
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.
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", "sales target research", or otherwise wants to discover people by role and immediately get emails / phones back.
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.
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 otherwise asks to expand a known account into a larger candidate list.
| name | help |
| description | 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. |
| user-invocable | true |
| argument-hint | (no arguments needed) |
Fiber AI provides B2B data enrichment APIs for finding companies, discovering prospects, and revealing verified contact information (work emails, phone numbers). It supports both direct API queries via MCP tools and programmatic access via TypeScript and Python SDKs.
| Command | What It Does |
|---|---|
/fiber:quickstart | Guided first-run: verify key, search companies, reveal one contact |
/fiber:search "AI companies in NYC" | Search for companies or people matching criteria |
/fiber:enrich "linkedin.com/in/someone" | Reveal contact details (email, phone) for a person or company |
/fiber:audience "Series A fintech startups" | Build a prospecting list with bulk search, enrichment, and export |
/fiber:sdk-ts "build a lead gen app" | Get help writing TypeScript code with @fiberai/sdk |
/fiber:sdk-py "python enrichment script" | Get help writing Python code with fiberai |
/fiber:setup | Configure API key and verify MCP connection |
/fiber:help | Show this help information |
| Command | What It Does |
|---|---|
/fiber:find-similar-companies "Stripe" | Find lookalike companies from a seed account |
/fiber:enrich-linkedin-csv | Bulk enrich LinkedIn URLs with emails and phones |
/fiber:build-recruiting-audience "staff iOS engineers at Series B fintechs" | Build a persistent, exportable recruiting candidate list |
/fiber:expand-from-email-list | Reverse-resolve emails to LinkedIn profiles |
/fiber:enrich-github-handles | Developer sourcing: GitHub handles to LinkedIn to contact details |
/fiber:find-and-enrich-by-role "VP Eng at fintech" | Find people by role + company criteria and reveal contacts |
/fiber:track-signals "job-change alerts for these 200 accounts" | Track job changes, hiring intent, social activity, and funding |
/fiber:benchmark-vs-competitor "100 LinkedIn URLs vs PDL" | Run a reproducible, honest benchmark vs a competing provider |
Find companies by location, industry, employee count, tech stack, funding stage, and more. Find people by title, seniority, department, and company.
Reveal verified work emails and phone numbers for any professional via the three-tier contact reveal stack: syncQuickContactReveal (standard, balanced), syncTurboContactEnrichment (fastest, premium cost), or the async waterfall triggerExhaustiveContactEnrichment + pollExhaustiveContactEnrichmentResult (highest coverage). Get full company profiles via companyLiveEnrich or kitchenSinkCompany.
Build prospecting lists at scale. The workflow: create audience, set search filters, build, poll status, estimate enrichment cost, enrich, poll enrichment status, export. Read the full guide via the MCP resource llms://fiber.ai/docs/audience-workflow.
Use the TypeScript SDK (@fiberai/sdk) or Python SDK (fiberai) to build custom applications, integrations, or automations on top of Fiber AI APIs.
@<name>)| Persona | Who it is |
|---|---|
@ai-recruiter | Senior recruiter: sourcing, JD to pipeline, GitHub + LinkedIn crosswalk |
@ai-sdr | Senior SDR: outbound lists, ICP, buyer identification, list pruning |
@gtm-strategist | Head of GTM: pipeline math, market sizing, ABM strategy, scoping |
@signal-scout | Signal operator: job-change / hiring / social / funding alerts |
@data-quality-auditor | Data analyst: honest, pre-registered benchmarks vs competing providers |
@product-engineer | Product engineer: signup enrichment, real-time API integration, identity resolution |
@fiber-sde | Software engineer: SDK usage, scripts, automations, custom integrations |
Fiber AI provides three MCP endpoints:
fiber-ai-v2): Direct tools for high-priority operations like companySearch_tool and peopleSearch_tool. Best for common queries.fiber-ai-v3): Direct tools for every public operation with compact descriptions. OAuth / SSO auth.fiber-ai-core): 5 meta-tools (search_endpoints, list_tag_packs, list_all_endpoints, get_endpoint_details_full, call_operation) that give access to all 100+ API endpoints. Use get_endpoint_details_full("operationId") to discover exact schemas before calling any operation.Most operations cost credits. Costs vary by operation type and may change. Check current pricing at https://api.fiber.ai/docs/ or read the llms://fiber.ai/llms.txt MCP resource. Always review cost estimates before bulk operations.
getOrgCredits via Core MCPAccept: text/markdown to https://api.fiber.ai/openapi.json to get the agent-friendly index markdown at the same URL (Stripe pattern).