Replicate Claude Skills in Mindstudio Agents

Support
1

Hi,

I’m migrating a set of Claude Skills (multi-step, procedural workflows) into Mindstudio Agents.

Constraint I’m hitting:

  • Mindstudio uses a single system instruction per flow.

  • I can’t create separate chat modules per step.

  • If I drop every step into the system prompt, it gets long and noisy.

Goal:

  • Mirror the same step-by-step “Skill” experience without prompt bloat.

Potential workaround:

  • Keep a short, crisp system instruction.

  • Offload step logic into multiple knowledge base docs (one per step).

  • Let the agent reference those docs as it progresses.

Questions:

  1. Is there native support for Claude-style Skills or an equivalent “multi-step workflow” pattern in Mindstudio?

  2. Best practice to structure multi-step processes with a single system instruction?

  3. Prompt limits: practical token ceiling for system + retrieval to avoid degradation?

  4. KB strategy: one doc per step vs one consolidated doc? Any retrieval ranking tips to force step order?

  5. Any examples or references showing complex, procedural flows done well in Mindstudio?

If there’s a canonical pattern, I’ll follow it.
If not, happy to adopt whatever you consider the least fragile setup.

Thanks.

2

Hi @BozhidarBatev,

Thanks for the post!

There are a few ways to replicate Claude Skills and even take them further. The closest feature in MindStudio is Dynamic Tools.

That said, could you share a bit more about what you’re trying to build and how people would interact with the Agent?

3

Hey @Alex_MindStudio ,

Thanks for your prompt reply.

Here is what I’m building:

A 90-day execution system that helps entrepreneurs complete 3 high-leverage actions they’ve been avoiding due to internal friction (fear, perfectionism, etc.).

Here’s the revised explanation with sub-steps:

What I’m Building:

A 90-day execution system that helps entrepreneurs complete 3 high-leverage actions they’ve been avoiding due to internal friction (fear, perfectionism, etc.).

How Users Interact:

The system has 5 phases that users progress through:

1. ASSESSMENT

  • Step 1.1: Complete Performance Trap diagnostic (10-12 questions)

  • Step 1.2: Receive personalized profile explaining their specific trap pattern

2. CLARITY

  • Step 2.1: Values Elicitation → Core Needs mapping

  • Step 2.2: Define Winning Conditions

  • Step 2.3: Identify Single Biggest Bottleneck

  • Step 2.4: Lock Mission - 90-day focus statement

3. FOCUS

  • Tool 1: Direct Path Strategic Focus - identify 1-3 Key Actions

  • Tool 2: Eliminate Performance Anchors - remove top 3 energy drains

  • Tool 3: Install Non-Negotiables - protect critical areas

  • Tool 4: Execution Sustainability Protocol

4. EXECUTION - This is where I need dynamic routing

When users hit friction, AI routes to appropriate tool:

  • Belief Dissolution→ for outdated beliefs blocking action

  • Worst-Case Analysis → for future-focused catastrophic thinking

  • Release Emotional Payoff → when beliefs have hidden emotional payoffs

  • Anti-Hijack System → for high-pressure moments causing emotional hijacking

  • Pattern Decoder → for chronic recurring self-sabotage patterns

The Technical Challenge:

The routing logic depends on:

  • Their Performance Trap type (from Assessment)

  • What type of friction they’re experiencing

  • Which interventions they’ve already tried

Example routing logic:

  • User reports stuck → AI asks diagnostic questions → Routes to Belief Dissolution → If belief survives → Routes to Worst-Case Analysis → If still persists → Routes to Release Emotional Payoff

Note:
- Each step 2.1-2.4, focus tools 1-4 and the 5 execution tools have a series of sub-steps

  • How can I use MindStudio’s Dynamic Tools to replicate this conditional routing system where the AI intelligently decides which intervention tool to deploy based on the user’s context and maintains their trap-specific customization throughout.

Also, i imagine each of the 4 major components - assessments, clarity, focus, etc to be a separate agent. I can use user variables to pass information between them.

I already did the assessment phase and works quite well but it is also the simplest one.

Any ideas and recommendations are more than welcome.

Thanks a lot!

4

Hi @BozhidarBatev,

Could you share a bit more about how your system is currently set up? Is it available as a chatbot in Claude that relies on Claude Skills?

From what you’ve described, the User Context block could be really useful for letting the LLM gather more data by tailoring its questions.

As for Dynamic Tools, I’d highly encourage you to check out the following video:

Each time a user sends a message in the Chat block, the LLM can choose one of the Dynamic Tools you’ve set up, which then triggers the workflow you define. The workflow can run in the background, performing actions the user doesn’t see, or in the foreground, allowing the user to interact with user-facing blocks like User Context, Menu, and others configured with the Display to User behavior.

5

Hey @Alex_MindStudio ,

Currently I have 4 Claude project, each project has system instructions for general role tone of voice, expertise etc. A skill that knows all steps and sub-steps plus knowledge base files with more details about steps all part of the .skill file. And I have mcp for connecting to external tools but this is not relevant to this use case.

6

Hey @Alex_MindStudio ,

Here is one of the processes I want to move to MindStudion for your reference.

process Description

I want to build a 4-step psychological coaching workflow system. One main flow acts as the entry point with a chat module and general instructions for the AI coach. This main flow has 4 dynamic tools that each point to separate specialized flows—one for each step. Each step flow runs independently: it has its own chat conversation, an analysis section that processes the responses, an output module that generates a summary report, and a checkout module where the user confirms the results before moving forward. This keeps everything modular, token-efficient, and reusable.

MAIN FLOW
├─ Start
├─ Chat (with 4 dynamic tools)
│ ├─ Tool 1: Values Coach → Phase 1 Flow
│ ├─ Tool 2: Pattern Detective → Phase 2 Flow
│ ├─ Tool 3: Core Belief Excavator → Phase 3 Flow
│ └─ Tool 4: Need Diagnostician → Phase 4 Flow
└─ End

EACH PHASE FLOW (4 separate flows)
├─ Start (collect inputs)
├─ Chat (conversation with AI)
├─ Analysis (process responses)
├─ Output (show summary)
├─ Checkout (user confirms)
└─ Route back to main or next phase

  1. Can dynamic tools in the main flow successfully trigger and return data from separate flows while maintaining conversation context?

  2. What’s the best way to handle Knowledge Base retrieval across multiple flows?

  3. Should we use checkout/confirmation modules at the end of each phase flow, or is there a better pattern for user validation and conditional branching?

What we need feedback on

  • Is this architecture possible in MindStudio’s current version
  • Are there known issues with dynamic tools returning data between flows?
  • What’s the recommended best practice for KB retrieval across multiple flows?
  • Any performance considerations we should know about with this structure?
7

Hi @BozhidarBatev,

That’s correct. You can pass data via parameters to other workflows and return it to the main one.

If you were considering using Data Sources as prompts for Dynamic Tools, you can skip that. Dynamic Tools can trigger separate workflows, each with its own System Prompt and block-specific prompts. Use Data Sources when you have proprietary or specific content that the AI should rely on when generating responses.

You might find the Checkpoint block useful for your use case.

Yes, it is

No known issues

Please refer to my answer on Data Sources above

Make sure the models you select have a large enough context window to process the amount of data you’re planning on passing to them.

8

Hey @Alex_MindStudio

I built a main workflow with a single start and chat module that refers to 4 dynamic tools/workflows for each step of my process.

Each step-flows contains chat module, generate text and checkpoint.

The problem is that when I initiate the main workflow, It accurately starts the correct sub-flow but seems like dynamic tools run sub-flows in the background without returning output, causing Chat modules to fail and return undefined because they can’t interact with me.

My Question: Is there a way to invoke interactive sub-flows (with Chat & Checkpoint components) from a main workflow while preserving the interactive user experience?

Any workarounds or best practices appreciated.

Bozhidar

P.S. The problem to have a single chat module in the main flow is that each step requires different system instructions and I don’t know if I put everything into a single system prompt will not confuse AI.

9

Hi @BozhidarBatev,

Make sure to set your Dynamic Tools to run in the foreground, so users can interact with them:

image
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Here’s a quick sample Agent that works with the Foreground setting:
https://app.mindstudio.ai/agents/color-memorizer-2288e3b7/remix

10

Hey @Alex_MindStudio ,

I recorded this video for you to explain exactly what I’m trying to do and to save time going back and forth in messages.

11

Hi @BozhidarBatev,

Thanks for the loom!

If you set the Type in Dynamic Tools to Background, users won’t be able to interact with the workflows.

Instead, direct each Dynamic Tool to a separate Jump block that routes users to its respective workflow. Then, end each sub-workflow with another Jump block to bring users back to the Main.flow once it’s complete.

Make sure to check the remix link in my previous message to see how it’s configured.

Hope this helps!