In 2025, workflows promised determinism.
In 2026, we learned that's not enough.
Skillflows are the synthesis.
2025 was the year of deterministic AI. Enterprises demanded predictability, and workflows delivered. They were the answer to "how do we trust AI in production?"
Run 1,000 times, get consistent results every time.
Trace every decision. Log every step. Full compliance.
Chain steps into predictable pipelines. Build once, run anywhere.
Engineers defined the happy path. No surprises.
Then reality hit. The real world is messy. Users don't follow scripts. And a workflow for "process invoice" breaks when the invoice is a photo of a napkin.
Real data is messy. Every variation needs handling. What looked like 5 steps becomes 50 branches.
Every edge case needs an engineer. What was "low-code" became "all-the-code." Automation slowed down.
Step 3 doesn't know what Step 1 learned. The AI forgets why it's doing what it's doing.
"Automated until something unexpected happens." The promise broke at the seams.
What if AI could... think? Not rigid execution, but genuine understanding. Skills are AI capabilities that understand intent, not just instructions.
Recognize when something is "close enough." Adapt to variations without explicit rules.
Detect when something's off. Adjust approach mid-stream. Recover gracefully.
Remember what happened. Carry understanding forward. See the whole picture.
Explain its reasoning when asked. Understand corrections in plain English.
Skillflows combine the best of both worlds. The structure of workflows. The intelligence of skills. The result: AI that handles edge cases without losing cohesion to the bigger task.
Determinism where you need it.
Adaptability where you want it.
Skillflows are built on MCPammer, our infrastructure management system. Here's how they work under the hood.
Use mcpammer_skillflow_create to define a new skillflow:
Use mcpammer_skillflow_execute to start execution:
Use mcpammer_skillflow_execution_complete to record outcomes:
Every update increments the version. Track changes over time.
Full-text search across all skillflows. Find what you need.
Execution history with metrics. Learn from past runs.
Multiple agents can execute the same skillflow. Knowledge compounds.
Join the evolution. Stop fighting edge cases. Let AI handle the messy parts while you focus on what matters.