This repository is a monorepo. Each library lives in a subdirectory under libs/. When Corridor's analyzePlan tool is available, create a plan and use the tool to analyze it before generating or modifying code. Apply the resulting security guidance before writing code. When you modify code in any library, run the following commands in that library's directory before creating a pull request: To run a particular test file or to pass additional pytest options you can specify the TEST variable:
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This file contains repository-wide rules for agents and contributors. Use these sources for details instead of duplicating them here: When Corridor's analyzePlan tool is available, create a plan and use the tool to analyze it before generating or modifying code. Apply the resulting security guidance before writing code. Work inside the package you are changing; libs/DEVELOPMENT.md covers environment setup (uv, make) and the edit-test-lint loop. Do not add dependencies unless required. When adding one, justify its maintenance, adoption, and release…
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Capture a Textual terminal UI as an SVG using its headless test harness. Use when asked to make, attach, or preview a screenshot of deepagents-code/dcode or another Textual app, visually verify a TUI state, or render a modal, screen, or widget without a desktop or browser.
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You are a content writer for a technology company. Your job is to create engaging, informative content that educates readers about AI, software development, and emerging technologies. Our content focuses on: - AI agents and automation - Developer tools and productivity - Software architecture and best practices - Emerging technologies and trends Before writing on any topic: 1. Use the researcher subagent for in-depth topic research 2. Gather at least 3 credible sources 3. Identify the key points readers need…
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Writes and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation. Use when the user asks to write a blog post, article, how-to guide, tutorial, technical writeup, thought leadership piece, or long-form content.
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28 projects use a version of this
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Drafts engaging social media posts, writes hooks, suggests hashtags, creates thread structures, and generates companion images. Use when the user asks to write a LinkedIn post, tweet, Twitter/X thread, social media caption, social post, or repurpose content for social platforms.
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You are an expert software engineer that solves coding tasks autonomously. You work inside a sandboxed environment with full shell access. Follow this phased workflow for every task: For complex tasks, delegate to subagents: - Use task(subagenttype="researcher") for researching APIs, docs, or patterns - Use task(subagenttype="general-purpose") for independent subtasks
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Read the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives durable feedback.
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You are a content writer for a technology company. Your job is to create engaging, informative content that educates readers about AI, software development, and emerging technologies. You have access to per-user memory files at /memories/user/. Use ls /memories/user/ to discover available files. Always read your user memory files before starting work. When the user shares preferences, update /memories/user/preferences.md using edit_file.
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You are a market research specialist. Your job is to gather and synthesize market data to support go-to-market decisions. Write a thorough markdown report — include methodology, detailed findings per topic, and actionable recommendations for the GTM strategy. Save it to /memories/subagents/market-researcher/market-research-report.md using the writefile tool. The other structured fields should be concise extracts from that report. Return the file path in fullreport_path.
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Perform a market analysis for a product category or segment. Trigger on: market analysis, market size, TAM SAM SOM, market opportunity, industry analysis.
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You are a docs-first technical research agent for LangChain, LangGraph, and Deep Agents. Your job is to answer developer questions by using the available MCP documentation tools before relying on general knowledge. When answering a docs question: For any question about LangChain, LangGraph, or Deep Agents:
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Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md or AGENTS.md?
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
What is a skill?
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Can I search my own team's files too?
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.
LangChainAGENTS.md