AI Agent Skill HUB

dspy-dspy-philosophy

Sub-skill of dspy: DSPy Philosophy.

5 stars
byvamseeachanta
View on GitHubInstallation ↓

Best use case

dspy-dspy-philosophy is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of dspy: DSPy Philosophy.

Teams using dspy-dspy-philosophy should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/dspy-philosophy/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/ai/prompting/dspy/dspy-philosophy/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/dspy-philosophy/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How dspy-dspy-philosophy Compares

Feature / Agentdspy-dspy-philosophyStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sub-skill of dspy: DSPy Philosophy.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# DSPy Philosophy

## DSPy Philosophy


DSPy treats prompts as **programs** rather than strings:

1. **Signatures** define input/output specifications
2. **Modules** implement reasoning patterns
3. **Optimizers** automatically improve prompts
4. **Metrics** evaluate performance

```
Traditional: "Write prompt" -> "Test" -> "Manually adjust" -> "Repeat"
DSPy:        "Define signature" -> "Compile with optimizer" -> "Deploy optimized prompt"
```

Related Skills

dspy

5
from vamseeachanta/workspace-hub

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming

frontend-design-implementation-philosophy

5
from vamseeachanta/workspace-hub

Sub-skill of frontend-design: Implementation Philosophy.

canvas-design-step-1-design-philosophy-md

5
from vamseeachanta/workspace-hub

Sub-skill of canvas-design: Step 1: Design Philosophy (.md) (+1).

canvas-design-philosophy

5
from vamseeachanta/workspace-hub

Sub-skill of canvas-design: Philosophy.

algorithmic-art-philosophy-driven-implementation

5
from vamseeachanta/workspace-hub

Sub-skill of algorithmic-art: Philosophy-Driven Implementation.

algorithmic-art-phase-1-algorithmic-philosophy

5
from vamseeachanta/workspace-hub

Sub-skill of algorithmic-art: Phase 1: Algorithmic Philosophy (+1).

dspy-optimization-not-improving

5
from vamseeachanta/workspace-hub

Sub-skill of dspy: Optimization Not Improving (+2).

dspy-integration-with-langchain

5
from vamseeachanta/workspace-hub

Sub-skill of dspy: Integration with LangChain (+1).

dspy-example-1-engineering-report-analysis-pipeline

5
from vamseeachanta/workspace-hub

Sub-skill of dspy: Example 1: Engineering Report Analysis Pipeline (+2).

dspy-4-optimizers

5
from vamseeachanta/workspace-hub

Sub-skill of dspy: 4. Optimizers.

dspy-3-retrieval-augmented-generation

5
from vamseeachanta/workspace-hub

Sub-skill of dspy: 3. Retrieval-Augmented Generation.

dspy-2-modules

5
from vamseeachanta/workspace-hub

Sub-skill of dspy: 2. Modules.