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.

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

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.