claude-code-system-prompts

Name: claude-code-system-prompts
Author: Piebald-AI

Verified

All parts of Claude Code's system prompt, 27 builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, statusline, magic docs, WebFetch, Bash cmd, security review, agent creation). Updated for each Claude Code version.

12,862stars

2,038forks

JavaScript

Installation

# Add to your Claude Code skills
git clone https://github.com/Piebald-AI/claude-code-system-prompts

Getting Started

Guides for using ai agents skills like claude-code-system-prompts.

Security ReportVerified

Last scanned: 4/18/2026

{
  "issues": [],
  "status": "PASSED",
  "scannedAt": "2026-04-18T05:41:59.745Z",
  "semgrepRan": false,
  "npmAuditRan": true,
  "pipAuditRan": true
}

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README.md

Frequently Asked Questions

What is claude-code-system-prompts?

claude-code-system-prompts is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Piebald-AI. All parts of Claude Code's system prompt, 27 builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, statusline, magic docs, WebFetch, Bash cmd, security review, agent creation). Updated for each Claude Code version. It has 12,862 GitHub stars.

Is claude-code-system-prompts safe to use?

Yes. claude-code-system-prompts passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install claude-code-system-prompts?

Clone the repository with "git clone https://github.com/Piebald-AI/claude-code-system-prompts" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is claude-code-system-prompts written in?

claude-code-system-prompts is primarily written in JavaScript. It is open-source under Piebald-AI on GitHub, so you can review or fork the full source.

Are there alternatives to claude-code-system-prompts?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh claude-code-system-prompts against similar tools.

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Scroll down for Claude Code's system prompts. :point_down:

Claude Code System Prompts

[!tip] NEW (June 12, 2026): We've greatly expanded this list with many more of Claude Code's prompts—from 350 to 515 (+165)—our most complete coverage yet.

This repository contains an up-to-date list of all Claude Code's various system prompts and their associated token counts as of Claude Code v2.1.295 (October 8th, 2026). It also contains a CHANGELOG.md for the system prompts across 311 versions since v2.0.14. From the team behind Piebald.

This repository is updated within minutes of each Claude Code release. See the changelog, and follow @PiebaldAI on X for a summary of the system prompt changes in each release.

[!note] ⭐ Star this repository to get notified about new Claude Code versions. For each new Claude Code version, we create a release on GitHub, which will notify all users who've starred the repository.

Why multiple "system prompts?"

Claude Code doesn't just have one single string for its system prompt.

Instead, there are:

Large portions conditionally added depending on the environment and various configs.
Descriptions for builtin tools like Write, Bash, and TodoWrite, and some are fairly large.
Separate system prompts for builtin agents like Explore and Plan.
Numerous AI-powered utility functions, such as conversation compaction, CLAUDE.md generation, session title generation, etc. featuring their own systems prompts.

The result—500+ strings that are constantly changing and moving within a very large minified JS file.

[!important] Want to modify a particular piece of the system prompt in your own Claude Code installation? Use tweakcc. It—

lets you customize the individual pieces of the system prompt as markdown files, and then

patches your npm-based or native (binary) Claude Code installation with them, and also

provides diffing and conflict management for when both you and Anthropic have conflicting modifications to the same prompt file.

Extraction

This repository contains the system prompts extracted using a script from the latest npm version of Claude Code. As they're extracted directly from Claude Code's compiled source code, they're guaranteed to be exactly what Claude Code uses. If you use tweakcc to customize the system prompts, it works in a similar way—it patches the exact same strings in your local installation as are extracted into this repository.

Prompts

Note that some prompts contain interpolated bits such as builtin tool name references, lists of available sub agents, and various other context-specific variables, so the actual counts in a particular Claude Code session will differ slightly—likely not beyond ±20 tokens, however.

Agent Prompts

Sub-agents and utilities.

Sub-agents

Agent Prompt: Explore (862 tks) - System prompt for the Explore subagent.
Agent Prompt: Plan mode (enhanced) (1066 tks) - Enhanced prompt for the Plan subagent.

Creation Assistants

Agent Prompt: CLAUDE.md creation (631 tks) - Instructs the /init command to analyze a codebase and create or improve a CLAUDE.md file.
Agent Prompt: Status line setup (4815 tks) - System prompt for the statusline-setup agent that configures status line display.

Slash Commands

Agent Prompt: /batch slash command (1524 tks) - Instructions for orchestrating a large, parallelizable change across a codebase.
Agent Prompt: /code-review GitLab comment posting (312 tks) - Directs code review findings to a general GitLab merge request note when the comment flag is enabled.
Agent Prompt: /code-review inline gap sweep phase (105 tks) - Adds a final same-context sweep for defects missed by an inline code review when subagents are unavailable.
Agent Prompt: /code-review minimal mode (632 tks) - Minimal /code-review prompt that performs one careful diff pass and reports up to fifteen concrete correctness findings.
Agent Prompt: /code-review part 1 base finder angles (145 tks) - Line-by-line diff scan instructions for the /code-review slash command's finder-angle phase.
Agent Prompt: /code-review part 10 ReportFindings output format (448 tks) - Output-format instructions for /code-review runs that report verified findings once through the ReportFindings tool with capped, severity-ranked findings.
Agent Prompt: /code-review part 2 low effort minimum findings mode (740 tks) - Low-effort /code-review prompt that reads the diff once, targets at least min(files_changed, 4) hunk-visible runtime correctness findings, and performs one extra pass when short.
Agent Prompt: /code-review part 2 low effort mode (778 tks) - Low-effort /code-review prompt that reads the diff once and returns up to four hunk-visible runtime correctness findings.
Agent Prompt: /code-review part 3 extra-high and maximum effort modes (553 tks) - Extra-high and maximum-effort /code-review prompt that runs five finder angles, one-vote verification, a gap sweep, and capped JSON findings.
Agent Prompt: /code-review part 4 three-state verification phase (98 tks) - Verification phase for /code-review that asks one agent verifier to classify each candidate as confirmed, plausible, or refuted.
Agent Prompt: /code-review part 5 recall-biased verification phase (175 tks) - Recall-biased /code-review verification phase that treats realistic uncertain findings as plausible unless code refutes them.
Agent Prompt: /code-review part 6 medium effort mode (466 tks) - Medium-effort /code-review prompt that favors precision with three finder angles, one-vote verification, and up to eight JSON findings.
Agent Prompt: /code-review part 7 high effort mode (511 tks) - High-effort /code-review prompt that favors recall with three finder angles, recall-biased verification, and up to ten JSON findings.
Agent Prompt: /code-review part 8 GitHub comment posting (152 tks) - Optional /code-review instructions for posting findings as GitHub inline PR comments when --comment is passed.
Agent Prompt: /code-review part 9 fix application (250 tks) - Optional /code-review instructions for applying findings to the working tree when --fix is passed.
Agent Prompt: /code-review unavailable-agent inline mode (403 tks) - Builds a single-pass inline code-review prompt that gathers a diff, evaluates configured angles, deduplicates findings, optionally sweeps gaps, and reports capped results when the Agent tool is unavailable.
Agent Prompt: /rename auto-generate session name (80 tks) - Prompt used by /rename (no args) to auto-generate a kebab-case session name from conversation context.
Agent Prompt: /schedule slash command (4469 tks) - Guides the user through scheduling, updating, listing, or runni