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Best practices for prospect research including company analysis, contact profiling, and signal detection. Triggers when researching companies, contacts, or preparing for sales calls.
Guidelines for extracting key meeting information and formatting structured output. Includes formatter script for consistent JSON/Markdown output.
Knowledge of common dietary restrictions, allergens, ingredient substitutions, and how to adapt recipes for various diets.
Standard structure and style for sales call briefings including templates for full briefings and quick-reference cheat sheets. Triggers when generating or formatting prospect briefings.
Common sales objections and response strategies organized by type and industry. Triggers when reviewing past objections or preparing for potential pushback.
Identifying buying signals and pain points from public information including job postings, reviews, news, and social media. Triggers when analyzing prospect readiness or searching for opportunities.
Generate a complete OAF-compliant agent package from an Agent Case (requirements) and Agent Design (architecture). Use when asked to "package an agent", "generate an agent package", "create an agent from a design", or when you have both case/ and design/ folders and need to create the package/ folder with AGENTS.md, skills, and scripts.
| name | sales-research |
| description | Best practices for prospect research including company analysis, contact profiling, and signal detection. Triggers when researching companies, contacts, or preparing for sales calls. |
This skill provides methodology and best practices for researching sales prospects. It covers company research, contact profiling, and signal detection to surface actionable intelligence.
The company-researcher and contact-researcher sub-agents reference this skill when:
Basic Profile
Recent Developments
Tech Stack
Signals
Professional Background
Influence Indicators
Engagement Hooks
resources/signal-indicators.md - Taxonomy of buying signalsresources/research-checklist.md - Complete research checklistscripts/company-enricher.py - Aggregate company data from multiple sourcesscripts/linkedin-parser.py - Structure LinkedIn profile data