JinQiran-JQR

JinQiran-JQR / Leadership-Vision.Skill

Public

领导视野.Skill

16
6
100% credibility
Found Apr 23, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This repository contains a detailed guide and template for using AI to perform structured strategic analysis on complex career and leadership decisions in bureaucratic settings.

How It Works

1
😕 Stuck in a Work Dilemma

You're facing a tough choice like picking a career path, handling office politics, or writing a report that impresses the boss.

2
🔍 Discover the Advisor Guide

You find this special leadership skill that turns your everyday AI chat buddy into a sharp strategic thinker for big decisions.

3
💬 Share Your Full Story

You describe your situation in detail to the AI, including facts about your resources, pressures, and goals.

4
Enough Details?
✅
Yes, Dive In

Plenty of info—AI starts mapping out smart paths forward.

➕
Need More

AI kindly asks for missing pieces, like your strengths or timelines, to avoid wrong guesses.

5
🗺️ Map Out Choices

AI lists 2-3 real options, like going all-in or playing it safe, spotting what you might have missed.

6
📊 Get the Full Report

You receive a clear breakdown of each path's strategy, steps, risks, outcomes, and honest warnings about biases.

🎯 Choose with Confidence

With straightforward insights and pressure-tested advice, you pick your best move feeling clear-eyed and prepared.

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Star Growth

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AI-Generated Review

What is Leadership-Vision.Skill?

Leadership-Vision.Skill is a markdown-defined protocol for AI agents like Claude or Copilot, turning them into a ruthless strategic advisor for high-stakes decisions. It triggers on dilemmas like career pivots or bureaucratic tradeoffs, enforcing a structured workflow: anchor facts, map routes, simulate outcomes via "strategy-tactics-results" analysis, and output polished Markdown reports. Developers drop it into github skill directory or marketplaces like antigravity skill to supercharge leadership vision skill strength in skill github agent setups.

Why is it gaining traction?

It stands out in the github skill marketplace by mandating blind-spot scans, reality checks, and multi-route predictions—features absent in generic chat prompts. Users notice the rigid guardrails against self-deception, like auto-generating counter-routes and risk matrices, making outputs more reliable than ad-hoc advice from skill github anthropic or openclaw. With 16 stars, it's hooking devs tired of fluffy AI responses in complex scenarios.

Who should use this?

Mid-level managers or tech leads in hierarchical orgs facing promotions, team alignments, or vendor standoffs. Chinese bureaucracy pros dissecting "stand team" politics or policy drafts. Agent builders integrating vision.skill into custom Copilot extensions for decision coaching.

Verdict

Skip unless you're in niche bureaucratic strategy needs—1.0% credibility score, 16 stars, and single-doc setup scream early prototype with zero tests or examples. Fork and iterate if the workflow clicks, but test rigorously first.

(178 words)

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