# repowise-dev/claude-code-prompts

Independently authored prompt templates for AI coding agents — system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. Informed by studying Claude Code.

Repository: https://github.com/repowise-dev/claude-code-prompts
Canonical: https://ross.abutalabs.com/products/claude-code-prompts
License: MIT
License Family: permissive
Topics: ai-coding-agent, ai-tools, anthropic-claude, claude-code, claude-prompts, coding-assistant, cursor-skills, llm-prompts, multi-agent, prompt-engineering, prompt-templates, system-prompt, claude-code-prompts, claude-code-system-prompt
Last push: 2026-05-11T16:20:18+00:00

## Health v2 (maintenance only)
Score: 51/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 81, release rhythm 35, longevity 11
- inputs: {"age_days": 154, "days_push": 114, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1196, forks 395 (observed 2026-08-28T04:03:57.289422+00:00)

## What it is
A collection of independently authored prompt templates for building AI coding agents, covering system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. It is inspired by patterns observed in Claude Code but is not affiliated with Anthropic.

## Use cases
- write a system prompt for an AI coding agent
- find prompt templates for tool routing in an LLM agent
- set up multi-agent coordination prompts
- implement memory management prompts for chat agents
- learn how Claude Code structures its prompts
- build subagent delegation prompts for coding assistants

## When to choose
- you are building an AI coding agent and need battle-tested prompt patterns
- you want reference examples for tool prompts, agent prompts, and memory prompts
- you need a multi-agent coordinator prompt template
- you want to study how Claude Code-style agents are prompted

## When to avoid
- you need official Anthropic Claude Code prompts or support
- you want runnable software rather than prompt text files
- your agent targets non-coding domains with different requirements

## Facets
- artifact type: learning-resource
- maturity: active
- function: prompt-engineering, agent-framework, developer-tools
- domain: artificial-intelligence, large-language-models, developer-tools, tutorials
- platform: cross-platform
- tags: prompt-templates, claude-code, system-prompts, multi-agent-coordination, coding-assistant, llm-prompts, ai-agents

## Member repositories
- repowise-dev/claude-code-prompts (main) score 51

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:57.289422+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:22:03.855908+00:00, confidence not recorded.
  - readme: https://github.com/repowise-dev/claude-code-prompts (fetched 2026-08-28T04:03:57.289422+00:00, sha 07fc2def2d99)
- Data as of 2026-08-30T08:39:29.467469+00:00.