disler

Context Priming — Git skill for Claude Code

Git community intermediate

by disler - Provides a systematic approach to priming Claude Code with comprehensive project context through specialized commands for different project scenarios and development contexts.

How to install Context Priming

This entry records only its repository, not the path inside it, so there is no exact command to give. Open disler/just-prompt and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Context Priming does

by disler - Provides a systematic approach to priming Claude Code with comprehensive project context through specialized commands for different project scenarios and development contexts.

One of 2 entries listed from disler/just-prompt. The repository README describes the whole collection, not this skill — read it on GitHub.

Alternatives in Git

  • Skill Development Guide — Community Examples 81.1k ★
  • Worktree Parallel Init — Create multiple git worktrees for parallel development: $ARGUMENTS 23.4k ★
  • Superclaude — by SuperClaude-Org - A versatile configuration framework that enhances Claude Code with specialized commands 21.7k ★

Repository README

This is the README for disler/just-prompt, shared by 2 entries in this directory. It describes the repository, not this entry specifically.

Just Prompt - A lightweight MCP server for LLM providers

`just-prompt` is a Model Control Protocol (MCP) server that provides a unified interface to various Large Language Model (LLM) providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama. See how we use the `ceo_and_board` tool to make [hard decisions easy with o3 here](https://youtu.be/LEMLntjfihA).

Tools

The following MCP tools are available in the server:

  • **`prompt`**: Send a prompt to multiple LLM models

    • Parameters:
      • text: The prompt text
      • models_prefixed_by_provider (optional): List of models with provider prefixes. If not provided, uses default models.
  • **`prompt_from_file`**: Send a prompt from a file to multiple LLM models

    • Parameters:
      • abs_file_path: Absolute path to the file containing the prompt (must be an absolute path, not relative)
      • models_prefixed_by_provider (optional): List of models with provider prefixes. If not provided, uses default models.
  • **`prompt_from_file_to_file`**: Send a prompt from a file to multiple LLM models and save responses as markdown files

    • Parameters:
      • abs_file_path: Absolute path to the file containing the prompt (must be an absolute path, not relative)
      • models_prefixed_by_provider (optional): List of models with provider prefixes. If not provided, uses default models.
      • abs_output_dir (default: "."): Absolute directory path to save the response markdown files to (must be an absolute path, not relative)
  • **`ceo_and_board`**: Send a prompt to multiple 'board member' models and have a 'CEO' model make a decision based on their responses

    • Parameters:
      • abs_file_path: Absolute path to the file containing the prompt (must be an absolute path, not relative)
      • models_prefixed_by_provider (optional): List of models with provider prefixes to act as board members. If not provided, uses default models.

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