Agent skill · AI & Agents

dspy-advanced-module-composition

This skill should be used when the user asks to "compose DSPy modules", "use Ensemble optimizer", "combine multiple programs", "use dspy.MultiChainComparison", mentions "ensemble voting", "module composition", "sequential pipelines", or needs to build complex multi-module DSPy programs with ensemble patterns or multi-chain comparison.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill dspy-advanced-module-composition --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Version: 1.0.0
Allowed tools: -Read-Write-Glob-Grep
Path: skills/ai-llm/dspy-advanced-module-composition/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# DSPy Advanced Module Composition ## Goal Compose complex DSPy programs using the Ensemble optimizer, MultiChainComparison for reasoning synthesis, and sequential module patterns. ## When to Use - Need consensus from multiple approaches - Comparing different reasoning strategies - Building robust pipelines with fallbacks - Complex multi-step workflows with branching - Ensemble methods for improved accuracy ## Related Skills - Design modules: [dspy-custom-module-design](../dspy-custom-module-design/SKILL.md) - Define signatures: [dspy-signature-designer](../dspy-signature-designer/SKILL.md) - Evaluate performance: [dspy-evaluation-suite](../dspy-evaluation-suite/SKILL.md) ## Inputs | Input | Type | Description | |-------|------|-------------| | `modules` | `list[dspy.Module]` | Modules to compose | | `composition_type` | `str` | "ensemble", "sequential", "comparison" | ## Outputs | Output | Type | Description | |--------|------|-------------| | `composed_program` | `dspy.Module` | Composed multi-module program | ## Workflow ### Phase 1: Ensemble Voting Combine multiple programs using the Ensemble optimizer: ```python import dspy from dspy.teleprompt import Ensemble dspy.configure(l

What's inside
Steps it walks through
  1. Goal
  2. When to Use
  3. Related Skills
  4. Inputs
  5. Outputs
  6. Workflow
  7. Phase 1: Ensemble Voting
  8. Phase 2: MultiChainComparison
  9. Phase 3: Sequential Composition
  10. Phase 4: Fallback Strategies
  11. Production Example
  12. Best Practices
  13. Limitations
  14. Official Documentation
Ships with 1 file
  • metadata.json
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About this skill
What does the dspy-advanced-module-composition skill do?

This skill should be used when the user asks to "compose DSPy modules", "use Ensemble optimizer", "combine multiple programs", "use dspy.MultiChainComparison", mentions "ensemble voting", "module composition", "sequential pipelines", or needs to build complex multi-module DSPy programs with ensemble patterns or multi-chain comparison.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill dspy-advanced-module-composition --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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