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PrimeFlow gives your AI agents the structure they need — flexible workflows that adapt to how real work actually happens, with hard quality gates that can't be skipped.

13 Skills
Hard Quality Gates
Flexible Entry

The AI Agent Problem

Your agents are impressive in demos. In production, things break. Here's why most tooling fails:

Just Prompts

No structure means no accountability. Agents drift, forget context, and produce results you can't verify.

任意出口

The PrimeFlow Way

Flexible entry points. Hard quality exits. Structure that adapts to your workflow, not the other way around.

灵活入口
强硬出口

Full Chain Required

Forcing every task through a complete workflow from scratch is disconnected from reality. Real work starts mid-stream.

强制完整链条

Why Teams Choose PrimeFlow

Most AI tooling gives you either chaos or red tape. PrimeFlow finds the middle ground — enough structure to trust your agents, enough flexibility to adapt.

Structured, Not Rigid

Start anywhere in the workflow based on where your work actually is. A handoff from a colleague? A mid-session restart? PrimeFlow meets you where you are.

Quality Gates That Work

Hard constraints enforce real quality — not rubber-stamp approvals. Your release process actually means something when every gate has teeth.

Built for Teams

Explicit context management so AI agents can hand off work cleanly. No more 'it worked in my session' — everyone operates from the same shared state.

Adapts to How You Work

Whether you're starting fresh, resuming mid-task, or just need a verification checkpoint — PrimeFlow has an entry point.

Full Feature

New feature from scratch. Full workflow with planning, implementation, and release.

Hard Constraint
Standard Step
Click any skill for details

The Four Pillars

13 skills organized into four phases. Each phase has a clear purpose — from deciding what to do, to proving you did it right.

Orchestrate & Plan

Understand the goal, assess the current state, and chart a path forward. No盲目 start without a plan.

Execute & Verify

Build with test-first discipline. Stay within boundaries. Produce fresh evidence of correctness.

Review & Release

Formal quality gates. Review evidence, not just diffs. Release with explicit state of what was done.

Learn & Improve

Check existing patterns before starting. Capture lessons learned so the next sprint is faster.

Start in 60 Seconds

No complex setup. Clone, run doctor, start talking to your agent.

zsh
1# Navigate to your project
$cd my-project
2# Clone PrimeFlow
$git clone https://github.com/heyallencao/PrimeFlow.git
3# Check dependencies
$./PrimeFlow/primeflow doctor
# Ask your AI agent:

"@primeflow orchestrate — analyze this codebase and tell me where we should start."