dspy-rlm-module
byintertwine· 11 skills
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.
How to install dspy-rlm-module?
intertwine/dspy-agent-skills/dspy-rlm-module
$npx -y skills add intertwine/dspy-agent-skills --skill dspy-rlm-moduleInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/intertwine/dspy-agent-skills" --skill "intertwine/dspy-agent-skills/dspy-rlm-module"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/intertwine/dspy-agent-skills" that are relevant to the current task. Run `npx skills add "https://github.com/intertwine/dspy-agent-skills"` and select the relevant skills, then follow their instructions.
Related
6 picksType
- azure-aiUse for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR.Jul 2026
- ai-research-exploreRigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates.Jul 2026
- ai-research-reproductionRigor Reproduce compatible skill slug for README-first deep learning repository reproduction.Jul 2026
- explore-codeRigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories.Jul 2026
- run-trainRigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup…Jul 2026
- explore-runRigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories.Jul 2026
