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.
1,216
8 commits
updated May 11, 2026
Independently written prompt templates for building AI coding agents, inspired by patterns observed in Claude Code codebase. System prompts, tool prompts, agent prompts, memory management, and multi-agent coordination.
Prompts tell your agent how to behave. RepoWise tells it what the codebase actually does.
Open-source codebase intelligence engine. Auto-generated architecture wikis, dependency graphs, ownership maps, dead code detection, and 9 MCP tools your AI editor can query in real time.
Scroll down for Claude Code's prompt patterns. 👇
We studied how Claude Code behaves in practice -- how it structures safety rules, routes tools, delegates to subagents, manages memory -- and wrote our own prompt collection from scratch implementing the same patterns.
Every prompt in this repo is independently authored. We observed what patterns make a coding agent reliable and wrote our own versions. From the team behind RepoWise.
Not affiliated with Anthropic. See DISCLAIMER.md.
Note ⭐ Star this repository to if you find the collection useful.
| Category | Files | What You Get |
|---|---|---|
| System prompt | 1 | Agent identity, safety rules, code style, tool routing, output format |
| Tool prompts | 11 | Shell, file read/edit/write, grep, glob, web search/fetch, agent launcher, ask user, plan mode |
| Agent prompts | 5 | General purpose, code explorer, solution architect, verification specialist, documentation guide |
| Memory prompts | 4 | Conversation summarization, session notes, memory extraction, memory consolidation |
| Coordinator prompt | 1 | Multi-worker orchestration with synthesis, delegation, and verification workflow |
| Utility prompts | 4 | Session titles, tool summaries, away recaps, next-action suggestions |
| Pattern analyses | 9 | Commentary on each pattern with reusable templates |
| Cursor skills | 3 | Drop-in skills for coding standards, verification, and prompt design |
{{PLACEHOLDER}} values with your stack, tool names, and risk policy.skills/ into ~/.cursor/skills-cursor/ for instant integration.Patterns observed in how Claude Code structures its prompts — with analysis and independently written templates.
The complete system prompt covering identity, permissions, task execution, code style, safety, tool routing, tone, and output efficiency.
Prompt templates for each tool a coding agent uses to interact with the filesystem, shell, web, and user.
Prompt templates for specialized subagents — each designed for a different task type.
How to manage context across long sessions — summarization, session notes, and persistent memory.
Small helper prompts for session management and user experience.
Drop-in skills for Cursor IDE that implement these patterns directly.
We studied how Claude Code behaves in practice and identified the behavioral rules, safety patterns, tool-routing strategies, and multi-agent coordination approaches that make it effective. We then independently authored every prompt in this repository from scratch, implementing the same patterns in our own words.
All content is original.
The prompts in this repo handle agent behavior: safety, tool routing, delegation, verification. But behavior without context is like a senior engineer who's never seen the codebase. RepoWise fills that gap.
| What you get | How it helps your agent |
|---|---|
| Architecture wiki | Agent understands module boundaries before making changes |
| Dependency graphs | Agent traces impact of changes across packages |
| Ownership tracking | Agent knows which team/person owns each module |
| Dead code detection | Agent avoids modifying unused code paths |
| 9 MCP tools | Agent queries project knowledge directly from Cursor, Claude Code, or any MCP-compatible editor |
Works with any language, any repo size.
"Claude Code" is a trademark of Anthropic, used here under nominative fair use to describe the subject matter. This project is independent and not affiliated with Anthropic.
Approach / Output / Constraints for agents, Include / Format / Constraints for memory, Rules / Format for utilities.If this helped you build better AI agents, star the repo so others can find it.
Built by RepoWise — open-source codebase intelligence for AI agents (repowise.dev).
12,478 followers · starred Apr 2026
40 followers · starred Apr 2026
1 followers · starred Apr 2026
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.
1,216
8 commits
updated May 11, 2026
Independently written prompt templates for building AI coding agents, inspired by patterns observed in Claude Code codebase. System prompts, tool prompts, agent prompts, memory management, and multi-agent coordination.
Prompts tell your agent how to behave. RepoWise tells it what the codebase actually does.
Open-source codebase intelligence engine. Auto-generated architecture wikis, dependency graphs, ownership maps, dead code detection, and 9 MCP tools your AI editor can query in real time.
Scroll down for Claude Code's prompt patterns. 👇
We studied how Claude Code behaves in practice -- how it structures safety rules, routes tools, delegates to subagents, manages memory -- and wrote our own prompt collection from scratch implementing the same patterns.
Every prompt in this repo is independently authored. We observed what patterns make a coding agent reliable and wrote our own versions. From the team behind RepoWise.
Not affiliated with Anthropic. See DISCLAIMER.md.
Note ⭐ Star this repository to if you find the collection useful.
| Category | Files | What You Get |
|---|---|---|
| System prompt | 1 | Agent identity, safety rules, code style, tool routing, output format |
| Tool prompts | 11 | Shell, file read/edit/write, grep, glob, web search/fetch, agent launcher, ask user, plan mode |
| Agent prompts | 5 | General purpose, code explorer, solution architect, verification specialist, documentation guide |
| Memory prompts | 4 | Conversation summarization, session notes, memory extraction, memory consolidation |
| Coordinator prompt | 1 | Multi-worker orchestration with synthesis, delegation, and verification workflow |
| Utility prompts | 4 | Session titles, tool summaries, away recaps, next-action suggestions |
| Pattern analyses | 9 | Commentary on each pattern with reusable templates |
| Cursor skills | 3 | Drop-in skills for coding standards, verification, and prompt design |
{{PLACEHOLDER}} values with your stack, tool names, and risk policy.skills/ into ~/.cursor/skills-cursor/ for instant integration.Patterns observed in how Claude Code structures its prompts — with analysis and independently written templates.
The complete system prompt covering identity, permissions, task execution, code style, safety, tool routing, tone, and output efficiency.
Prompt templates for each tool a coding agent uses to interact with the filesystem, shell, web, and user.
Prompt templates for specialized subagents — each designed for a different task type.
How to manage context across long sessions — summarization, session notes, and persistent memory.
Small helper prompts for session management and user experience.
Drop-in skills for Cursor IDE that implement these patterns directly.
We studied how Claude Code behaves in practice and identified the behavioral rules, safety patterns, tool-routing strategies, and multi-agent coordination approaches that make it effective. We then independently authored every prompt in this repository from scratch, implementing the same patterns in our own words.
All content is original.
The prompts in this repo handle agent behavior: safety, tool routing, delegation, verification. But behavior without context is like a senior engineer who's never seen the codebase. RepoWise fills that gap.
| What you get | How it helps your agent |
|---|---|
| Architecture wiki | Agent understands module boundaries before making changes |
| Dependency graphs | Agent traces impact of changes across packages |
| Ownership tracking | Agent knows which team/person owns each module |
| Dead code detection | Agent avoids modifying unused code paths |
| 9 MCP tools | Agent queries project knowledge directly from Cursor, Claude Code, or any MCP-compatible editor |
Works with any language, any repo size.
"Claude Code" is a trademark of Anthropic, used here under nominative fair use to describe the subject matter. This project is independent and not affiliated with Anthropic.
Approach / Output / Constraints for agents, Include / Format / Constraints for memory, Rules / Format for utilities.If this helped you build better AI agents, star the repo so others can find it.
Built by RepoWise — open-source codebase intelligence for AI agents (repowise.dev).
12,478 followers · starred Apr 2026
40 followers · starred Apr 2026
1 followers · starred Apr 2026