Execute custom stream chains where you define the prompt sequence. Each step receives the full output of the previous step as context.
Scanned 9/10/2026
Install to Claude Code
npx -y skills add monoes/monomind --skill source-command-stream-chain-run --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Source Command Stream Chain Run?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/monoes-source-command-stream-chain-run)More formats (shields.io, HTML) on the badges page.
---
name: "source-command-stream-chain-run"
description: "Execute custom stream chains where you define the prompt sequence. Each step receives the full output of the previous step as context."
---
# source-command-stream-chain-run
Use this skill when the user asks to run the migrated source command `stream-chain-run`.
## Command Template
# Stream-Chain Run Mode
Execute custom multi-step workflows with your own prompt sequence. Each step's full output becomes context for the next.
## How to Invoke
In Codex, activate run mode:
```
Skill("stream-chain:run")
```
Then provide your chain directly:
> "Run a stream chain:
> 1. Write a sorting function
> 2. Add tests for it
> 3. Optimize it for performance"
---
## How Context Flows
Each step receives the complete output of all previous steps:
```
Step 1: "Write a sorting function"
Output: [function code]
Step 2 receives:
Previous output: [function code]
Task: "Add comprehensive tests"
Step 3 receives:
Previous output: [function + tests]
Task: "Optimize for performance"
```
---
## Examples
### Basic Development Chain
> "Stream chain:
> 1. Write a user authentication function
> 2. Add input validation and error handling
> 3. Create unit tests with edge cases"
### Security Audit Workflow
> "Stream chain for the `src/auth/` module:
> 1. Analyze for security vulnerabilities
> 2. Categorize issues by severity (critical/high/medium/low)
> 3. Propose fixes with implementation priority
> 4. Generate security test cases"
### Code Refactoring Chain
> "Stream chain:
> 1. Identify code smells in `src/` directory
> 2. Create refactoring plan with specific changes
> 3. Apply refactoring to top 3 priority items
> 4. Verify refactored code maintains original behavior"
### Data Processing Pipeline
> "Stream chain:
> 1. Extract data from API responses in `handlers/`
> 2. Transform data into normalized format
> 3. Validate data against schema
> 4. Generate data quality report"
### Code Migration Workflow
> "Stream chain for migrating Vue 2 to Vue 3:
> 1. Analyze codebase dependencies and breaking changes
> 2. Create migration plan with risk assessment
> 3. Generate modernized code for high-priority components
> 4. Create migration tests
> 5. Document migration steps and rollback procedures"
---
## Best Practices
### 1. Clear, Specific Prompts
Good:
> "Analyze `auth.ts` for SQL injection vulnerabilities"
Avoid:
> "Check security"
### 2. Logical Progression
Build on previous outputs:
1. Identify the problem
2. Analyze root causes
3. Design solution
4. Implement solution
5. Verify implementation
### 3. Include Verification Steps
> "Stream chain:
> 1. Implement feature X
> 2. Write tests for feature X
> 3. Verify tests pass and cover edge cases"
### 4. Iterative Refinement
> "Stream chain:
> 1. Generate initial implementation
> 2. Review and identify issues
> 3. Refine based on issues found
> 4. Final quality check"
---
## Multi-Agent Integration
For complex chains, combine with swarm coordination:
```javascript
// Initialize swarm first
mcp__monomind__swarm_init({ topology: "hierarchical", maxAgents: 4, strategy: "specialized" })
```
Then direct the stream chain:
> "With our 4-agent swarm, run a stream chain:
> 1. Research: best practices for API design
> 2. Design: REST API with discovered patterns
> 3. Implement: API endpoints with validation
> 4. Review: final quality check and documentation"
## Memory Integration
Use memory tools to persist chain results for future sessions:
```javascript
mcp__monomind__memory_pattern-store({
key: "stream-chain-result",
value: "summary of findings",
namespace: "stream-chain"
})
```
---
## See Also
- `stream-chain:pipeline` — predefined pipelines for common workflows
- `stream-chain` — full stream-chain skill with advanced patterns
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!