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Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Add local, in-process LLM inference to an existing .NET project with Overfit — no Python, no Ollama, no cloud. Use when the user wants to run a private/local LLM inside their .NET app, load a GGUF model in C#, add chat/RAG/embeddings on the CPU, replace an OpenAI/Ollama/Azure call with an on-device model, or expose a local model as a Microsoft.Extensions.AI IChatClient. For a brand-new app, prefer the `dotnet new overfit-chat` template instead.
Build and run an eval harness for an agent skill or prompt LOCALLY with Overfit — deterministic (seeded/greedy), offline, zero API cost, with schema-guaranteed rubric grading. Use when asked to test/evaluate/score a skill or prompt, catch prompt regressions, or measure whether a prompt change helped.
Spec-driven development for the Overfit engine. Use when starting a new feature, model/op/kernel/loader/runtime change, or any change touching multiple files — writes an Overfit-native spec (architecture path, AOT / zero-alloc / parity gates, git-read-only boundary) and a gated plan BEFORE coding. Prefer this over the generic spec-driven-development skill inside this repo.
Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when requirements are unclear, ambiguous, or only exist as a vague idea.
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
Claude Code skill for checking and updating NuGet packages in a .NET 10 solution using native CLI commands.
| name | lead-research-assistant |
| description | Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals. |
This skill helps you identify and qualify potential leads for your business by analyzing your product/service, understanding your ideal customer profile, and providing actionable outreach strategies.
Simply describe your product/service and what you're looking for:
I'm building [product description]. Find me 10 companies in [location/industry]
that would be good leads for this.
For even better results, run this from your product's source code directory:
Look at what I'm building in this repository and identify the top 10 companies
in that would benefit from this product.
For more targeted research:
My product: [description]
Ideal customer profile:
- Industry: [industry]
- Company size: [size range]
- Location: [location]
- Current pain points: [pain points]
- Technologies they use: [tech stack]
Find me 20 qualified leads with contact strategies for each.
When a user requests lead research:
Understand the Product/Service
Define Ideal Customer Profile
Research and Identify Leads
Prioritize and Score
Provide Actionable Output
For each lead, provide:
Format the Output
Present results in a clear, scannable format:
# Lead Research Results
## Summary
- Total leads found: [X]
- High priority (8-10): [X]
- Medium priority (5-7): [X]
- Average fit score: [X]
---
## Lead 1: [Company Name]
**Website**: [URL]
**Priority Score**: [X/10]
**Industry**: [Industry]
**Size**: [Employee count/revenue range]
**Why They're a Good Fit**:
[2-3 specific reasons based on their business]
**Target Decision Maker**: [Role/Title]
**LinkedIn**: [URL if available]
**Value Proposition for Them**:
[Specific benefit for this company]
**Outreach Strategy**:
[Personalized approach - mention specific pain points, recent company news, or relevant context]
**Conversation Starters**:
- [Specific point 1]
- [Specific point 2]
---
[Repeat for each lead]
Offer Next Steps
User: "I'm building a tool that masks sensitive data in AI coding assistant queries. Find potential leads."
Output: Creates a prioritized list of companies that:
User: "I run a consulting practice for remote team productivity. Find me 10 companies in the Bay Area that recently went remote."
Output: Identifies companies that: