Create a three-section decision-maker intelligence brief from company and DM research.
npx skills add https://github.com/antikode/skills --skill antikode-dm-profiler
Please help me install this Agent Skill. Skill: antikode-dm-profiler Source: https://github.com/antikode/skills/tree/main/skills/dm-profiler Command: npx skills add https://github.com/antikode/skills --skill antikode-dm-profiler
Produces a structured, research-backed decision-maker brief to accelerate BD conversations by eliminating guesswork and assembling verified insights about the target company and its decision maker.
Run the profiler for a company and DM, then generate and review the three-section briefing.
High-intent search queries and answers about installing and using this skill.
To create a decision-maker intelligence brief, the profiler automates research on a target company and its DM to generate a structured three-section brief covering Company Summary, DM Intelligence Profile, and Step-by-Step Outreach Strategy.
Researching Indonesian enterprise companies for sales pitches is handled through on-demand web research that gathers market signals and company context, applying source attribution and confidence tagging to ensure up-to-date evidence for BD engagements.
Building an outreach strategy for a specific decision maker is done by translating researched DM intelligence profile findings into concrete next steps and messaging, producing a step-by-step outreach playbook for BD pitches.
Decision-maker profiling uses a form-driven intake to capture lead context and opportunity signals, then automates multi-source web research to enrich the brief, eliminating guesswork and manual data assembly.
Vendor analysis and lead research can be applied across Indonesian markets and other enterprise contexts, using on-demand web research to enrich context and ensure verified insights regardless of the specific geographic market.
Automating company research for BD relies on on-demand web research and confidence tagging, meaning brief accuracy is constrained by the availability and verifiability of public market signals and DM intelligence data sources.
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