eva-positioning

Builds staged social media account positioning from real experience and user-provided platform evidence.

54|1|Updated Apr 27, 2026
One-click install
npx skills add https://github.com/Lulu-Eva/Eva-skill --skill eva-positioning-lulu-eva
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: eva-positioning
Source: https://github.com/Lulu-Eva/Eva-skill/tree/main/skills/eva-positioning
Command: npx skills add https://github.com/Lulu-Eva/Eva-skill --skill eva-positioning-lulu-eva

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Creators often guess at account positioning from labels, trends, or wishful thinking, ending up with positioning that cannot survive contact with platform reality. This Skill turns vague ideas into a staged, evidence-backed account positioning by separating internal facts, platform evidence, and publishing feedback, and by refusing to fabricate conclusions when evidence is missing. ## Core Features & Use Cases - Fast or Deep Positioning Modes: Offers a quick path to an executable working positioning (L2) or a deep path that resolves candidate conflicts, content roles, and optional homepage profile (avatar, nickname, bio). - Evidence-Gated Outputs: Without qualified platform evidence pasted back by the user, it only delivers personal material directions plus one custom search task, never fake positioning candidates. - Topic-to-Positioning Bridge: When a user asks whether candidate topics fit the current account stage, it maps each topic to one functional role (main line, persona proof, traffic entry, commercial bridge, or auxiliary) and designs one falsifiable publishing experiment. - Use Case: A creator says "help me do account positioning." The Skill asks once whether they want fast or deep positioning, extracts personal material directions from their real history, assigns one tailored platform search task, and only after the user pastes back evidence forms a staged positioning candidate. ## Quick Start Ask the assistant to run an account staged positioning with eva-positioning and choose either fast positioning or deep positioning when prompted.

Frequently Asked Questions about eva-positioning

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a social media account positioning from scratch?

Start with fast or deep positioning mode. The Skill extracts personal material directions from your real history, assigns one custom platform search task, and only forms a positioning candidate after you paste back qualified platform evidence from your target platform.

What is the difference between fast positioning and deep positioning?

Fast positioning ends at an executable L2 working positioning within at most two pure clarification rounds. Deep positioning continues after a valid candidate forms to resolve conflicts in willingness, capacity, business goals, and content role division, optionally producing a homepage profile.

Can the AI search the platform for positioning evidence for me?

No. Platform evidence must be searched and pasted back by you from your target platform, or come from your own account's published content and data. The Skill never uses web search, platform APIs, or model memory as a substitute for evidence.

What happens if I cannot provide platform evidence?

Without minimum qualified platform evidence, the Skill delivers at most two personal material directions plus one tailored evidence-gathering task. It will not generate positioning candidates, audience promises, or homepage copy, and may formally pause positioning with one recovery action.

How do I check whether a topic fits my current account stage?

Ask whether a candidate topic fits your current positioning. The Skill maps the topic to one functional role such as main line validation, traffic entry, or commercial bridge, then gives a decision of prioritize, defer, or auxiliary plus one falsifiable publishing experiment.

When should I not use account positioning?

Do not use it for single-piece content creation, persona material mining, product and service fact collection, brief analysis, published content review, or general low-traffic complaints. Those requests route to other modules like Create, Review, or Think instead.