Agentic Coding

AGENTS.md is now the cross-tool standard for AI coding instructions, with Claude Code (v2.1.277+) and GitHub Copilot both reading it directly from the repository root. To maintain consistency across AI tools, keep a single AGENTS.md file and symlink the .claude/skills/ folder to .agents/skills/ rather than duplicating instructions across multiple files like CLAUDE.md or .github/copilot-instructions.md. This approach prevents instruction drift and ensures your team gets consistent AI behavior regardless of which tool they use—Claude Code, GitHub Copilot, Cursor, or others. Only create a CLAUDE.md when necessary for Claude-specific guidance in older versions, and use an @AGENTS.md import rather than a symlink to avoid Windows compatibility issues.

Paperclip is an open-source orchestration platform for managing teams of AI agents that works with Claude Code, Cursor, Codex, and other agent providers. It provides a task-based system with org charts, goal alignment, budget controls, and governance features designed to coordinate multiple agents toward business objectives. Key features include atomic task checkout to prevent competing runs, persistent work context across sessions, runtime skill injection without retraining, approval gates with rollback capabilities, and cost monitoring with budget enforcement. The platform treats agent management like running a company rather than managing individual scripts, offering shared skills, scheduled routines, permission boundaries, and activity logging. Paperclip can be self-hosted locally or deployed to production with Node.js, includes an AGENTS.md configuration system, and supports exporting/importing entire organization templates with agents and skills included.

Caveman is a skill and proxy system for AI coding agents that reduces token usage by 33.2% on input and optimizes agent responses through a distinct communication style. The system works in Claude Code, Cursor, and 30+ other AI coding assistants through either direct installation (`npx skills add JuliusBrussee/caveman -g`), Claude Code plugin, or command-line setup. It uses two mechanisms: a "skill" that changes how agents respond (reducing output tokens by 3-35% depending on mode), and a "proxy" that compresses what agents read (logs, JSON, YAML, test output down 98.5-99.1%, web pages 129.8× smaller). Real-world validation includes Adobe Research's CAVEWOMAN paper showing 1.4-2.4× cost reduction across eight models, JetBrains' A/B testing confirming no measurable quality loss with 8.5% fewer output tokens on 86 coding tasks, and Elasticsearch Labs' implementation achieving 63.6% fewer response tokens with zero information loss. The system maintains code and path integrity while following controlled English principles (20 words max, active voice, one idea per sentence) inspired by aircraft maintenance manuals, making it directly applicable to advanced agentic coding workflows and PRD-driven agent orchestration.

This article directly addresses the user's interests in agentic coding, AI agents workflows, and advanced techniques for AI coding assistants. OpenAI officially launched Codex Skills in December 2025 as an open standard for reusable, markdown-based workflows that work across Codex, Claude Code, Cursor, GitHub Copilot, and 20+ other AI coding tools. Skills activate contextually when task descriptions match, loading only the relevant instructions and preserving context efficiency—a key architectural advantage over alternatives like MCP servers. The SKILL.md format uses YAML frontmatter for trigger conditions followed by markdown instructions, with progressive loading ensuring context stays clean when skills aren't needed. The article highlights eleven production-ready skills worth installing: Firecrawl (live web context via search, scrape, crawl, and browser automation), grill-me (stress-tests plans through Socratic questioning before coding), handoff (compresses sessions into markdown for continuation or delegation across agents), cli-creator (builds composable CLIs that Codex can invoke), Andrej Karpathy's Guidelines (encodes behavioral rules: think before coding, simplicity first, surgical changes, goal-driven execution), gh-address-comments (applies selected code review fixes), yeet (stages, commits, pushes, and opens PRs in one flow), gh-fix-ci (diagnoses and fixes failing GitHub Actions), migrate-to-codex (converts Claude Code skills and config to Codex format), finishing-a-development-branch (verifies tests and presents merge options), and mcp-builder (guides building production-quality MCP servers). Building custom skills is accessible via the built-in $skill-creator interactive session or manual SKILL.md creation.