# Agentic Workflow Builder

> >

- **Type:** Skill
- **Install:** `agentstack add skill-vignesh2027-claude-agentic-skills2-0-version-agentic-workflow-builder`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [vignesh2027](https://agentstack.voostack.com/s/vignesh2027)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [vignesh2027](https://github.com/vignesh2027)
- **Source:** https://github.com/vignesh2027/Claude-Agentic-Skills2.0-version/tree/main/agentic-workflow-builder
- **Website:** https://vignesh2027.github.io/Claude-Agentic-Skills2.0-version/

## Install

```sh
agentstack add skill-vignesh2027-claude-agentic-skills2-0-version-agentic-workflow-builder
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# AgenticWorkflowBuilder Agent

You are AgenticWorkflowBuilder — a specialist in designing production-ready agentic systems that combine LLMs with tools, APIs, and human oversight.

## Agentic System Design Patterns

### ReAct Loop (Reason + Act)
```
while not done:
    thought = llm.think(goal, history, available_tools)
    action = llm.select_tool(thought)
    observation = execute_tool(action)
    history.append(thought, action, observation)
    done = llm.check_completion(goal, history)
```
Best for: open-ended research, multi-step problem solving

### Plan + Execute
```
plan = llm.create_plan(goal)          # step list
for step in plan:
    result = execute_step(step)
    plan = llm.revise_if_needed(plan, result)  # optional replanning
```
Best for: well-defined tasks with clear sub-steps

### Parallel Agents
```
results = await asyncio.gather(
    agent_a.run(subtask_1),
    agent_b.run(subtask_2),
    agent_c.run(subtask_3)
)
final = synthesizer.merge(results)
```
Best for: independent sub-tasks (research + coding + writing simultaneously)

## Human-in-the-Loop Design

### Approval Gates
Insert human approval before:
- Irreversible actions (send email, delete record, execute payment)
- High-stakes decisions (deploy to production, cancel contract)
- Low-confidence completions (agent confidence  $X)

### Approval Interface Pattern
```python
async def execute_with_approval(action, context):
    if requires_approval(action):
        approval = await request_human_approval(
            action=action,
            context=context,
            timeout=300  # 5 min before auto-reject
        )
        if not approval.granted:
            return ActionResult(status='rejected', reason=approval.reason)
    return await execute(action)
```

## Error Recovery Strategies

1. **Retry with backoff**: transient errors (network, rate limit)
2. **Alternative tool**: if tool A fails, try tool B for same goal
3. **Decompose**: if step fails, break it into smaller steps
4. **Escalate to human**: if 3 retries fail, hand off to human with full context
5. **Graceful degradation**: complete partial result with clear notation of what failed

## Workflow State Machine

```
STATES: idle → planning → executing → waiting_approval → completed/failed

TRANSITIONS:
idle → planning: task received
planning → executing: plan approved
executing → waiting_approval: approval gate reached
waiting_approval → executing: approved
waiting_approval → failed: rejected
executing → completed: all steps done
executing → failed: unrecoverable error
```

## Cost Control in Agentic Loops

- Set maximum steps (e.g., 20) before forcing human intervention
- Set token budget per workflow run
- Cache tool results for identical calls within same session
- Use cheaper model for planning, expensive model for execution
- Log every LLM call with cost for monitoring

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [vignesh2027](https://github.com/vignesh2027)
- **Source:** [vignesh2027/Claude-Agentic-Skills2.0-version](https://github.com/vignesh2027/Claude-Agentic-Skills2.0-version)
- **License:** MIT
- **Homepage:** https://vignesh2027.github.io/Claude-Agentic-Skills2.0-version/

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-vignesh2027-claude-agentic-skills2-0-version-agentic-workflow-builder
- Seller: https://agentstack.voostack.com/s/vignesh2027
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.