Show HN: Think Better – AI 비서를 위한 155가지 의사결정 과학 규칙
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🔬 연구
#ai비서
#claude
#hn
#review
#의사결정
#프레임워크
#프롬프트엔지니어링
원문 출처: hackernews · Genesis Park에서 요약 및 분석
요약
AI 어시스턴트가 복잡한 질문에 일반적인 답변만 하는 문제를 해결하기 위해, 개발자가 의사결정 과학 프레임워크를 탑재한 오픈소스 툴 'Think Better'를 개발했습니다. 이 도구는 155개의 구조화된 지식 기록과 BM25 검색 엔진을 사용하여 사용자의 문제에 맞는 최적의 의사결정 모델을 자동으로 추천하고 인지 편향을 경고합니다. 특히 MECE 수익성 트리와 같은 구체적인 분석 방법을 제공하며, 모든 기능이 온전히 로컬 환경에서 작동하여 별도의 API 키나 원격 데이터 전송 없이 보안성을 유지합니다.
본문
Your AI writes code fast but makes terrible decisions. Think Better injects structured decision frameworks directly into your AI prompts. Website · Documentation · Quick Reference · Contributing Works with Claude · GitHub Copilot · Antigravity You ask your AI "Should we migrate to microservices?" and get a generic pros/cons list. No framework. No bias detection. No structured analysis. Just vibes. Think Better fixes this. It gives your AI access to 10 decision frameworks, 15 decomposition methods, 12 cognitive bias detectors, and 160 knowledge records — turning surface-level responses into structured, rigorous analysis. # macOS / Linux curl -sSL https://raw.githubusercontent.com/HoangTheQuyen/think-better/main/install.sh | bash # Windows (PowerShell) irm https://raw.githubusercontent.com/HoangTheQuyen/think-better/main/install.ps1 | iex Then install skills for your AI: think-better init --ai claude # Claude Code think-better init --ai copilot # GitHub Copilot think-better init --ai antigravity # Antigravity Other install methods: go install github.com/HoangTheQuyen/think-better/cmd/make-decision@latest or clone &make build Just talk to your AI naturally. Think Better auto-activates when it detects a decision or problem: You: "Should we migrate from React to Next.js for our main app?" AI: → Detects: Binary Choice → Framework: Reversibility Filter → Warns: Overconfidence Bias, Status Quo Bias, Sunk Cost → Generates: Weighted comparison matrix + action plan You: "Revenue dropped 20% despite market growth" AI: → Detects: Opportunity Gap → Decomposition: Profitability Tree (MECE) → Analysis: Root Cause (5 Whys) + Fermi Estimation → Warns: Anchoring Bias, Confirmation Bias "choose", "compare", "should I", "pros and cons", "nên chọn cái nào", "phân vân" | 10 Frameworks | Reversibility Filter, Weighted Matrix, Hypothesis-Driven, Pre-Mortem, Pros-Cons-Fixes... | | 12 Bias Warnings | Overconfidence, Anchoring, Sunk Cost, Status Quo, Confirmation... | | Comparison Matrix | --matrix "A vs B vs C" with weighted scoring | | Decision Journal | Track → Review → Improve calibration | "solve", "debug", "root cause", "I'm stuck", "tại sao bị vậy", "không biết làm sao" | 7-Step Method | Define → Decompose → Prioritize → Analyze → Synthesize → Communicate | | 15 Decomposition Frameworks | Issue Tree, MECE, Hypothesis Tree, Profitability Tree, Systems Map... | | 12 Mental Models | First Principles, Inversion, Bayesian Updating, Pareto... | | 10 Communication Patterns | Pyramid Principle, BLUF, SCR, Action Titles... | Control analysis depth with slash commands: | Command | Depth | Records | Best For | |---|---|---|---| /solve.quick · /decide.quick | Quick | 0.5× | Fast scan, simple problems | /solve · /decide | Standard | 1.0× | Default for most situations | /solve.deep · /decide.deep | Deep | 1.7× | Complex, high-stakes decisions | /solve.exec · /decide.exec | Executive | 2.5× | Board reports, stakeholder briefings | Examples: /solve.quick API latency spiked after deploy /decide.deep AWS vs Azure vs GCP for cloud migration /solve.exec Revenue declined 20% quarter over quarter YOU ─── "Revenue dropped 20%" ──────────────────────────────────┐ │ ┌─────────────────────────────────────────────────────────────▼──┐ │ AI ASSISTANT (Claude / Copilot / Antigravity) │ │ │ │ ┌─ Auto-detect ──────────┐ ┌─ Slash Command ────────────┐ │ │ │ SKILL.md triggers │ OR │ /solve.deep → deep mode │ │ │ │ "solve" → problem-pro │ │ /decide.quick → quick mode │ │ │ └────────────┬───────────┘ └────────────┬───────────────┘ │ │ └───────────┬────────────────┘ │ │ ▼ │ │ ┌────────────────────────────────────────────────────────┐ │ │ │ 🐍 BM25 Search Engine │ │ │ │ 160 records × depth multiplier (0.5× → 2.5×) │ │ │ └────────────────────────┬───────────────────────────────┘ │ │ ▼ │ │ ┌────────────────────────────────────────────────────────┐ │ │ │ 📋 Advisor Engine │ │ │ │ Classify → Framework → Bias Detection → Plan │ │ │ └────────────────────────┬───────────────────────────────┘ │ │ ▼ │ │ 📄 Structured Output + Next-step suggestions │ └───────────────────────────────────────────────────────────────┘ Add "save step-by-step" to any prompt to generate a full markdown workspace: solving-plans/project/ decision-plans/project/ ├── 00-OVERVIEW.md ├── 00-OVERVIEW.md ├── 01-PROBLEM-DEFINITION.md ├── 01-DECISION-TYPE.md ├── 02-DECOMPOSITION.md ├── 02-FRAMEWORK.md ├── 03-PRIORITIZATION.md ├── 03-CRITERIA.md ├── 04-ANALYSIS-PLAN.md ├── 04-ANALYSIS.md ├── 05-FINDINGS.md ├── 05-OPTIONS.md ├── 06-SYNTHESIS.md ├── 06-DECISION.md ├── 07-RECOMMENDATION.md ├── BIAS-WARNINGS.md ├── BIAS-WARNINGS.md └── DECISION-LOG.md └── DECISION-LOG.md think-better init # Install skills for your AI think-better list # Show installed skills think-better check # Verify prerequisites (Python 3) think-better uninstall # Remove skills think-better version # Show version think-better/ ├── cmd/make-decision/ # CLI entry point (Go) ├── internal/ # Core logic │ ├── skills/ # Skill registry + embedded data
Genesis Park 편집팀이 AI를 활용하여 작성한 분석입니다. 원문은 출처 링크를 통해 확인할 수 있습니다.
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