dspy-agent-skills

In the author's own words, from each skill's SKILL.md.

• dspy-advanced-workflow

  Build DSPy 3.2.x programs through spec, program, metric and baseline; extend to optimization and export when requested and justified by task budget. Orchestrates the other four DSPy skills (dspy-fundamentals, dspy-evaluation-harness, dspy-gepa-optimizer, dspy-rlm-module) in the correct order. Use for greenfield DSPy builds; prototypes may stop at a validated baseline.

  skills/dspy-advanced-workflow/SKILL.md on GitHub (opens in a new tab)

• dspy-evaluation-harness

  Build DSPy evaluation harnesses with rich-feedback metrics that are essential for GEPA optimization. Use when writing a metric function, calling dspy.Evaluate, splitting dev/val sets, debugging "why is my optimizer not improving?", or designing CI-ready DSPy eval suites.

  skills/dspy-evaluation-harness/SKILL.md on GitHub (opens in a new tab)

• dspy-fundamentals

  Write idiomatic DSPy 3.2.x programs — typed Signatures, dspy.Module subclasses, Predict/ChainOfThought/ReAct/ProgramOfThought, and save/load. Use this when starting any new DSPy project or when fixing non-idiomatic DSPy code (hard-coded prompts, ad-hoc string templates, untyped outputs, non-serializable classes).

  skills/dspy-fundamentals/SKILL.md on GitHub (opens in a new tab)

• dspy-gepa-optimizer

  Optimize DSPy programs with dspy.GEPA — a reflective/evolutionary optimizer to consider against task-specific baselines within an authorized evaluation budget. Use when the user says optimize, compile, GEPA, reflective optimization, or "make this program better" and a DSPy program + metric + trainset exist.

  skills/dspy-gepa-optimizer/SKILL.md on GitHub (opens in a new tab)

• dspy-rlm-module

  Use dspy.RLM (Recursive Language Model) for reasoning over contexts too large to fit in an LLM's working window — entire codebases, long logs, massive documents, or multi-step data exploration that needs a sandboxed Python REPL. Use when the input is >100k tokens, needs recursive chunking, or benefits from the LLM writing and running code to probe data.

  skills/dspy-rlm-module/SKILL.md on GitHub (opens in a new tab)

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