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PythonReactSEOPDF
GitHub Skill

judokon-planning-and-investigation

Supports planning, investigation, and analysis tasks by encouraging structured reasoning and use of the JU-DO-KON! RAG vector database.

CyanAutomation☆ 1 Étoiles du dépôt0 Forks du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

Voir la source ↗Guides

Instructions

Skill Instructions

This skill is for thinking before coding.

Inputs / Outputs / Non-goals

  • Inputs: user questions, relevant PRDs/docs, RAG queries and results.
  • Outputs: investigation summary, sources, unknowns, recommended next steps.
  • Non-goals: implementation changes without a follow-up task.

What this skill helps accomplish

  • Avoid reinventing solutions
  • Surface existing knowledge
  • Ground decisions in prior work

When to use this skill

  • Investigating bugs
  • Planning new features
  • Exploring design options
  • Answering “how does this work?” questions

Mandatory behaviour

  1. Search the RAG vector database first
  2. Summarise relevant findings
  3. Cite existing code, PRDs, or docs
  4. Identify unknowns explicitly

RAG format

  • Query template: "topic + file type + context" (example: "battle timer phases scoreboard implementation").
  • Prefer withProvenance: true and quote sources in the summary.

Investigation steps

  1. Query RAG embeddings for related concepts
  2. Review similar past implementations
  3. Identify constraints and invariants
  4. Propose next steps (not solutions yet)

Stop conditions

  • If RAG results are weak twice, fallback to targeted file search.

Expected output

  • Investigation summary
  • Referenced sources
  • Clear recommendations or questions

Exemples

Consultez les exemples du dépôt source.

Voir la source ↗

Historique source

Date d’indexation
2026-01-20
Mise à jour de l’index
2026-01-26
Branch
main

Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.

GitHub ↗

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