Orchestrate subagents at scale with dynamic workflows
The canonical guide for when to use workflows, how `/deep-research` runs, how `/workflows` exposes progress, and how saved workflows become slash commands.
workflows.fit tracks Claude Code dynamic workflows today, then leaves room for Pi, Codex, Antigravity, and other workflow runtimes as the pattern spreads. Current Claude workflows are launched inside Claude Code through prompts and slash commands such as /deep-research, viewed with /workflows, and saved as reusable /<name> commands.
Runtime Map
The site model now separates runtime, article resources, translated reading notes, tutorials, and reusable workflow examples so new ecosystems can be added without rewriting the whole information architecture.
Coordinate many specialized subagents for audits, migrations, and research where independent branches can be checked before they converge.
Treat workflows as JavaScript orchestration: state, loops, branching, and intermediate results live in the runtime instead of the main chat context.
Use independent reviewers, source cross-checking, and test loops to filter weak findings before the final report reaches the user.
Curated source links with hosted multilingual translation pages. English originals expose Chinese, Spanish, French, Japanese, and German versions so readers do not have to leave the site just to understand the material.
The canonical guide for when to use workflows, how `/deep-research` runs, how `/workflows` exposes progress, and how saved workflows become slash commands.
Announcement post positioning dynamic workflows as research-preview orchestration for large migrations, audits, and high-stakes work that benefits from independent verification.
The most visible migration case: a large Zig-to-Rust port shaped as staged mapping, generation, reviewer agents, and build/test repair loops.
A practical look at `/deep-research`, including the research workflow shape of scope, search, fetch, verify, and synthesize.
A community implementation for Pi that explores primitives such as `agent()`, `parallel()`, `pipeline()`, and `phase()`.
A community reading list and concept map covering workflow concepts, primitives, opt-in behavior, resume semantics, and ultracode.
This section turns official docs and community experiments into teachable operating principles: when to run a workflow, how to scope it, and how the runtime differs from ordinary subagent delegation.
Use workflows inside an interactive Claude Code session. Run bundled workflows such as `/deep-research`, inspect runs with `/workflows`, and save successful scripts as slash commands.
A workflow is not just a longer prompt. The important shift is that branching, loops, intermediate results, and verification policy move into a JavaScript orchestration script.
Dynamic workflows are expensive enough that the site should teach restraint: small edits, single-file changes, and unclear success criteria are usually poor fits.
Browse and copy dynamic workflow scripts contributed by developers around the world.
A teardown of Claude Code's own deep research workflow: scope the question, fan out web search agents, fetch and extract claims, run adversarial verification, then synthesize a cited report.
Fans out subagents to migrate legacy Jest tests to Vitest in parallel, verifying syntax correctness and running tests at each phase.
Deploys one group of agents to scan for vulnerabilities (XSS, SQL Injection, Dependency issues) and another group of adversarial agents trying to exploit the findings to confirm exploits.
Automated Core Web Vitals audit. Analyzes LCP components, optimizes image formats, adds fetchpriority, and validates layouts.