Structured Problem Solving — community Structured Problem Solving, community, ide skills

v1.0.0

Sobre este Skill

Perfeito para Agentes de IA Avançados que necessitam de resolução de tarefas complexas metodológicas por meio de uma abordagem sistemática de 4 fases Zwingt den Agenten, Aufgaben in einem strukturierten, 4-phasigen Workflow anzugehen (Analysis -> Concept -> Review -> Implementation).

BenniKiel BenniKiel
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Updated: 3/6/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
7/11
Quality Score
20
Canonical Locale
de
Detected Body Locale
de

Perfeito para Agentes de IA Avançados que necessitam de resolução de tarefas complexas metodológicas por meio de uma abordagem sistemática de 4 fases Zwingt den Agenten, Aufgaben in einem strukturierten, 4-phasigen Workflow anzugehen (Analysis -> Concept -> Review -> Implementation).

Por que usar essa habilidade

Habilita os agentes a prevenir a codificação prematura e garantir que as tarefas complexas sejam resolvidas metodicamente, utilizando uma abordagem sistemática para a resolução de problemas, incluindo análise da documentação relevante, código existente e arquitetura, enquanto compreende as restrições e requisitos

Melhor para

Perfeito para Agentes de IA Avançados que necessitam de resolução de tarefas complexas metodológicas por meio de uma abordagem sistemática de 4 fases

Casos de Uso Práticos for Structured Problem Solving

Analisar tarefas complexas para prevenir codificação prematura
Gerar abordagens sistemáticas para a resolução de problemas para desenvolvedores
Depurar código existente e arquitetura para identificar restrições e requisitos

! Segurança e Limitações

  • Requer acesso à documentação relevante e código existente
  • Necessita de compreensão das restrições e requisitos
  • Limitado a tarefas complexas que requerem uma abordagem sistemática

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

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Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is Structured Problem Solving?

Perfeito para Agentes de IA Avançados que necessitam de resolução de tarefas complexas metodológicas por meio de uma abordagem sistemática de 4 fases Zwingt den Agenten, Aufgaben in einem strukturierten, 4-phasigen Workflow anzugehen (Analysis -> Concept -> Review -> Implementation).

How do I install Structured Problem Solving?

Run the command: npx killer-skills add BenniKiel/S.A.G.E.--Systematic-Agentic-Guidance-Environment-/Structured Problem Solving. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for Structured Problem Solving?

Key use cases include: Analisar tarefas complexas para prevenir codificação prematura, Gerar abordagens sistemáticas para a resolução de problemas para desenvolvedores, Depurar código existente e arquitetura para identificar restrições e requisitos.

Which IDEs are compatible with Structured Problem Solving?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for Structured Problem Solving?

Requer acesso à documentação relevante e código existente. Necessita de compreensão das restrições e requisitos. Limitado a tarefas complexas que requerem uma abordagem sistemática.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add BenniKiel/S.A.G.E.--Systematic-Agentic-Guidance-Environment-/Structured Problem Solving. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use Structured Problem Solving immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

Structured Problem Solving

Install Structured Problem Solving, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Structured Problem Solving Skill

Dieser Skill verhindert voreiliges Coden und stellt sicher, dass komplexe Aufgaben methodisch und fehlerfrei gelöst werden.

Wende diesen 4-Phasen-Workflow bei jeder Aufgabe an, die über triviale Code-Änderungen oder simple Fixes hinausgeht:

1. Analysis (Kontext aufbauen)

  • Lies die relevanten Dokumentationen im docs/ Ordner (siehe continuous_documentation Skill).
  • Analysiere den bestehenden Code und die Architektur. Verstehe die Constraints und das Problem vollständig, bevor du über Lösungen nachdenkst.

2. Conceptualization (Entwurf)

  • Formuliere einen klaren Plan, wie du das Problem architektonisch lösen wirst.
  • Halte dich an die Architektur-Standards des Projekts (SSOT, bestehende Patterns).
  • Erstelle bei neuen Systemen einen ersten Entwurf des System-Dokuments (gemäß system_design_standards).

3. User Review Gate (Zwingender Stopp)

  • Bevor du Code schreibst, MUSST du stoppen.
  • Präsentiere dem User dein Konzept (Implementation Plan).
  • Frage explizit nach Erlaubnis: "Bist du mit diesem Konzept einverstanden? Darf ich mit der Implementierung beginnen?"
  • Gehe erst zur nächsten Phase über, wenn der User sein klares "Okay" gegeben hat.

4. Implementation & Auto-Update

  • Setze dein Konzept im Code um.
  • Halte Best Practices ein und schreibe sauberen Code.
  • Iterative Design Loops: Wenn du während der Implementierung auf harte Blocker stößt (z.B. Engine-Restriktionen), die dein Konzept ungültig machen, MUSST du mit dem Coding aufhören. Kehre zu Phase 2 (Conceptualization) zurück, korrigiere die docs/ und frage den User nach einem erneuten Approval.
  • Sobald die Implementierung erfolgreich abgeschlossen ist, aktualisiere zwingend die zugehörigen Markdown-Dateien in docs/ (Epilog Phase des continuous_documentation Skills).

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