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Plugin

Hyperflow

Point it at a GitHub issue and get back a reviewed pull request. Hyperflow turns one AI coding session into a structured engineering pipeline: plan sharpens and decomposes the work, dispatch fans out parallel workers, and a domain specialist reviews every step — nothing ships unreviewed. 18 skills, 22 specialist reviewer and investigator agents, adaptive depth so a 5-line fix never triggers a…

Type
Plugin
GitHub stars
2.8k
License
MIT
Repo last updated
Sep 27, 2026
Version
5.9.0
Author
Mohammed Abdelhady

What Hyperflow is

Hyperflow is a plugin published in the jeremylongshore/tons-of-skills-marketplace repository on GitHub, which has about 2.8k stars. The repository describes itself as: “Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.”

A plugin is a package that bundles skills, slash commands, subagents, hooks, and MCP connectors so they install together. Plugins are plain files with a manifest at .claude-plugin/plugin.json, and they work in both Claude Code and Claude Cowork.

Installing Hyperflow adds everything it ships in one step. Connectors inside a plugin still need to be connected separately, and hooks and subagents only run in Cowork and Claude Code, not in regular chat.

How to install Hyperflow

Claude Code

  1. Add the repository as a plugin marketplace: claude plugin marketplace add jeremylongshore/tons-of-skills-marketplace
  2. Install the plugin: claude plugin install hyperflow@<marketplace-name>, using the marketplace name from the repository's .claude-plugin/marketplace.json.
  3. Restart the session if the new skills or commands don't appear straight away.

Claude Cowork

  1. Open Customize → Plugins and choose Add marketplace.
  2. Enter jeremylongshore/tons-of-skills-marketplace (the owner/repo shorthand works for GitHub).
  3. Find Hyperflow in the list, click Install, then connect any connectors it needs from its Connectors tab.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

An excerpt from plugins/ai-agency/hyperflow/.claude-plugin/plugin.json, shared under the repository's MIT license. Read the full file on GitHub.

Hyperflow

Point it at a GitHub issue. Get back a reviewed pull request. Hyperflow turns one AI coding session into a multi-agent engineering pipeline — planners design, workers build in parallel, and a domain specialist reviews every step before it ships. Runs on Claude Code, Codex, OpenCode, Grok, Antigravity &amp; Cursor — on your session model, zero config.

&nbsp; &nbsp; &nbsp; &nbsp;

Landing site &middot; Installation &middot; Orchestration &middot; Changelog

A real run: plan → 3 parallel workers → batch review → integration review — in 28 seconds. Full walkthrough on the landing site .

From issue to reviewed PR

/hyperflow:issue https://github.com/you/app/issues/42

Triage classifies the thread (bug → root-cause discipline, feature → the plan chain, question → a drafted reply). A spec is synthesized from the issue's own acceptance criteria — issue text is treated as data, never instructions. Then the standard chain runs: plan → parallel dispatch under review → a gated PR exit that opens the pull request with Closes #42.

The maintainer side is /hyperflow:pr — the same L1–L5 audit over the PR's real fetched code (never just diff text), findings posted as one batched review (inline, summary, or local-only), a fix chain on NEEDS_FIX, and a merge that is always gated. Contributor code is analyzed statically, never executed.

Quick start

claude plugin marketplace add Mohammed-Abdelhady/hyperflow
claude plugin install hyperflow@hyperflow-marketplace

Codex App/CLI:

codex plugin marketplace add Mohammed-Abdelhady/hyperflow
codex plugin add hyperflow@hyperflow-marketplace

Initialize the project once, then invoke any skill:

/hyperflow:scaffold                                        # first: set up the project (once per repo)
/hyperflow:issue https://github.com/you/app/issues/42      # issue → triage → plan → dispatch → gated PR
/hyperflow:plan "add user auth with login + middleware"    # sharpen → design → decompose → dispatch
/hyperflow:workflow "large migration across the repo"      # big-task workflow lane
/hyperflow:trace "tests fail after the auth refactor"      # root-cause a bug
/hyperflow:deploy                                          # pre-push gates + ship

Auto-routing is on by default — say "audit the diff" or "debug this test" and the right skill runs without the /hyperflow:* prefix. In Codex, hyperflow is the portable spelling. Setup and host notes → Installation.

What makes it different

  • Every step is reviewed. Worker → Reviewer is an iron rule at every granularity, sub-phases included — per-batch reviewers spot-check each diff, a final integration reviewer signs off on the whole. No worker output ships unreviewed.
  • Memory that's yours. Learnings, decisions, and pitfalls persist in .hyperflow/memory/ — plain markdown, committed with your repo, never uploaded, never mixed across projects.
  • Depth that adapts. Triage classifies every task and picks a flow profile (fast → scientific), so a 5-line fix never triggers a 300k-token deep run.

How it works

Invoke a skill. Chain-starters auto-advance through the rest — no always-on orchestrator, no background process, everything in your terminal, every agent on your current session model.

audit and deploy are gates — they fire only on your explicit yes. scaffold is a one-time project setup.

Triage assigns every task a flow profile, so effort matches the work instead of always running deep:

Workers are stitched with the right subset of 15 composable expert personas (architect, api, db, frontend, ui, security, performance, scientific, refactor, bugfix, test, research, creative, devops, docs) — security frames every decision first, creative adapts last.

Before you install

  • Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
  • Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
  • Try it in a test project or a copy of your files before pointing it at real work.
  • Pin the version you tested, and review changes before updating.
  • Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is Hyperflow?

Hyperflow is a plugin for Claude Code and Claude Cowork from the jeremylongshore/tons-of-skills-marketplace repository on GitHub. Point it at a GitHub issue and get back a reviewed pull request. Hyperflow turns one AI coding session into a structured engineering pipeline: plan sharpens and decomposes the work, dispatch fans out parallel workers, and a domain specialist reviews every step — nothing ships unreviewed. 18 skills, 22 specialist reviewer and investigator agents, adaptive depth so a 5-line fix never triggers a…

How do I install Hyperflow in Claude Code?

Add the repository as a plugin marketplace: claude plugin marketplace add jeremylongshore/tons-of-skills-marketplace Install the plugin: claude plugin install hyperflow@<marketplace-name>, using the marketplace name from the repository's .claude-plugin/marketplace.json. Restart the session if the new skills or commands don't appear straight away.

Can I use Hyperflow in Claude Cowork?

Open Customize → Plugins and choose Add marketplace. Enter jeremylongshore/tons-of-skills-marketplace (the owner/repo shorthand works for GitHub). Find Hyperflow in the list, click Install, then connect any connectors it needs from its Connectors tab.

Is Hyperflow safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

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Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under MIT. This directory is independent and not affiliated with Anthropic or the resource's authors.