ai-for-dummies/docs/references/README.md

AI For Dummies — reference bundle

Research captured 2026-09-02. Official documentation is primary; practitioner articles are context, not authority.

Primary documentation

• Anthropic — custom subagents: https://code.claude.com/docs/en/sub-agents Separate context, tools, permissions, model selection, and worktree isolation.
• Anthropic — skills: https://code.claude.com/docs/en/skills Reusable instruction packages and skill discovery.
• Anthropic — worktrees: https://code.claude.com/docs/en/worktrees Isolated sessions, branches, cleanup, and ignored files.
• OpenAI — build skills: https://developers.openai.com/codex/skills Packaged instructions and resources for Codex workflows.
• OpenAI API — skills reference: https://developers.openai.com/api/reference/go/resources/skills Creating, versioning, listing, and downloading skill bundles.
• Git — worktree: https://git-scm.com/docs/git-worktree.html Linked working trees, branches, shared history, add/list/remove/prune.

Research and articles

• Model routing and reasoning controls — official OpenAI, Anthropic, and Google terminology, commands, compatibility caveats, and a practical tier/effort baseline.
• Verified skill sources — pinned GitHub references, package paths, local-match confidence, and an approval-first install prompt.

For a structured 12-part reading path—including Git and Anthropic documentation, OpenAI orchestration guidance, Medium, and Substack—see additional-reading.md.

• Infobip Research — phased coding-agent workflow: https://arxiv.org/abs/2608.30701
• Effective asynchronous software engineering agents: https://arxiv.org/abs/2603.21489
• Launch Receipts — AI coding workflow without losing control: https://launchreceipts.com/articles/ai-coding-agent-workflow
• GitWorktree.org — three agents, three worktrees case study: https://www.gitworktree.org/cases/parallel-ai-agents

Teaching claims

• Use a stronger model where ambiguity, architecture, decomposition, and review dominate.
• Use faster models for bounded implementation with explicit context and checks.
• Give every editing worker an isolated branch/worktree; merge only reviewed diffs.
• A skill is a reusable procedure plus optional references/scripts/assets, not magical memory.
• Delegation does not remove human responsibility for intent, boundaries, or evidence.