new-agent
- Repo stars 12
- Author updated Live
- Author repo camunda-ai-dev-kit
- Domain
- AI
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @meyerdan · no license declared
- Token usage
- Lean
- Setup complexity
- Guided setup
- External API key
- Required · Vendor-specific
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Shell exec
- Network behavior
- External requests
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: new-agent
description: Generate a Camunda 8 agentic process with AI Agent connector and ad-hoc sub-process. Use when bu…
category: ai
runtime: no special runtime
---
# new-agent output preview
## PART A: Task fit
- Use case: Generate a Camunda 8 agentic process with AI Agent connector and ad-hoc sub-process. Use when building AI agent workflows with tool calling. Generate an agentic Camunda 8 BPMN process. Find and read the "Agentic BPMN" section of camunda-dev-guide.md for ad-hoc sub-process XML, connector task types, input targets, and fromAi() usage. requires Vendor-specif….
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Decide Fit First / Design Intent / How To Use It” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Generate a Camunda 8 agentic process with AI Agent connector and ad-hoc sub-process. Use when building AI agent workflows with tool calling. Generate an agentic Camunda 8 BPMN process. Find and read the "Agentic BPMN" section of camunda-dev-guide.md for ad-hoc sub-process XML, connector task types, input targets, and fromAi() usage. requires Vendor-specif…”.
- **02** When the source has headings, the agent prioritizes “Decide Fit First / Design Intent / How To Use It” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands; may access external network resources; requires Vendor-specific API keys.
## Running Rules
- read files, write/modify files, run shell commands; may access external network resources; requires Vendor-specific API keys.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files, run shell commands.
Start with a small task and check whether the result follows “Decide Fit First / Design Intent / How To Use It”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: new-agent
description: Generate a Camunda 8 agentic process with AI Agent connector and ad-hoc sub-process. Use when bu…
category: ai
source: meyerdan/camunda-ai-dev-kit
---
# new-agent
## When to use
- Generate a Camunda 8 agentic process with AI Agent connector and ad-hoc sub-process. Use when building AI agent workfl…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Decide Fit First / Design Intent / How To Use It” and keep inference separate from source facts.
- read files, write/modify files, run shell commands; may access external network resources; requires Vendor-specific API keys.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "new-agent" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Decide Fit First / Design Intent / How To Use It
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files, run shell commands | may access external network resources
guardrails -> requires Vendor-specific API keys + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} Generate an agentic Camunda 8 BPMN process. Find and read the "Agentic BPMN" section of camunda-dev-guide.md for ad-hoc sub-process XML, connector task types, input targets, and fromAi() usage.
$ARGUMENTS
Use the AI Agent Sub-process pattern (recommended):
- Create a
bpmn:adHocSubProcesswithzeebe:taskDefinition type="io.camunda.agenticai:aiagent-job-worker:1" - Add
zeebe:adHoc outputCollection="toolCallResults" outputElement="={id: toolCall._meta.id, name: toolCall._meta.name, content: toolCallResult}"— required for tool result collection - Add
zeebe:taskHeaderswithresultVariable=agent - Add tools as activities inside (no incoming flows, no start/end events)
- Use
fromAi()in tool input mappings for AI-generated parameters - Each tool must write output to
toolCallResultvariable (e.g.resultExpression→={toolCallResult: response.body}) - Add
<bpmn:documentation>to each tool describing what it does - Configure
systemPrompt,userPrompt,modelProvider, andauthentication.apiKey({{secrets.KEY_NAME}})
Tools can also be sub-processes for multi-step async patterns:
- Put a service task (action) followed by a catch event (wait) inside a sub-process
- The sub-process is the tool entry point; inner steps are hidden from the agent
- Use this for send+wait, request+callback, or any tool needing async interaction
- See the "Sub-flow Tool Pattern" section in camunda-dev-guide.md
For non-REST connectors as tools, look up their task type and input targets via the Camunda Docs MCP tool.
Save to resources/. Deploy with c8ctl.
Decide Fit First
Design Intent
How To Use It
Boundaries And Review