Results for “attention-game”

5 skills
More results
drnabeelkhan
maxim-banner-design
Creates digital banners for social, display, hero, and email formats, applying behavioral science principles to maximize attention and conversion.
2 · bundle
sinhoneyy
grants
NIH grant research skill for clinical researchers. Grill-me intake (research idea + career stage + preliminary data + environment + submission posture + known institute targets) locks down the funding strategy before any search runs. Runs a 5-facet Consensus positioning analysis (with draft Significance/Innovation language), maps the research to the right NIH institutes and study sections via RePORTER, finds NOSIs and funded overlap, and produces an editable Word document (.docx) with budget/scope-aware mechanism recommendations, submission timelines, and a mandatory program officer recommendation. Use when the user asks about research funding or makes any grant-related request (e.g., 'grants for [topic]', 'find grants for my research idea', 'what grants match my research', 'help me find NIH funding', 'grant opportunities for my research'). NIH-only scope — non-NIH funders (PCORI, DOD CDMRP, VA, foundations) are out of scope and flagged at intake.
11 · bundle
heath-gtm
abm-play
Turn a target account list into a real account-based play, not a spray. It tiers the accounts, sets the research angle per tier, builds the multi-thread across marketing and sales, and orchestrates the touches so the account feels one coordinated motion instead of a rep and a marketer working past each other. Built for B2B revenue teams, customizable to your CRM and your channels. Trigger on "build an ABM play", "account-based plan for this list", "how do I run ABM on these accounts", "tier my target list", "coordinate marketing and sales on these accounts", or any account-based planning request.
0 · bundle
lionelndong
keyword-redteam
Layer 4 of the keyword research pipeline. Spawns a "skeptical SEO" adversarial sub-agent to argue against every survivor of Layers 1-3. Catches mechanical-classifier blind spots — wrong SERP intent, hidden link-graph gauntlets, AIO trajectory shifts, vanity-rank metrics. Same pattern as quality-check's adversarial draft read, applied to keyword selection.
0