claude

splitty

Pipes-and-filters orchestration for chunk-level analysis. Splits a corpus into chunks, runs a deterministic DAG of sub-agent filters (map / reduce / fan-out / fan-in / loop / terminal), and unions the results.

0 on GitHubby Joshua Ramirezv0.1.0MITupdated 5 months ago

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin splitty in JoshuaRamirez/splitty. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (3)

  • splitty-design

    Design a splitty pipeline YAML file from a user's natural-language request. Use when the user describes an analysis goal but has not provided a pipeline file, or when they say "design a pipeline for X", "what pipeline would you use for Y", or "make a splitty pipeline that does Z". Outputs a validate

  • splitty-run

    Execute a splitty pipeline to completion. Use when given a path to a pipeline.yaml file (or an existing run-id to resume). Drives the orchestration loop: init → loop[next → spawn sub-agents → mark done] → finalize. Claude itself is the orchestrator — there is no daemon. Each agent step becomes one T

  • splitty

    Run a chunk-level pipes-and-filters analysis end-to-end. Use when the user says "splitty <do something>", "split this corpus", "map-reduce this", "fan out X across Y", "run a pipeline over <files>", or describes a goal that requires processing many chunks of text in parallel and unioning the results

Slash commands (3)

  • /splitty:splitty-design

    Design a splitty pipeline YAML file from a natural-language description. Does not run it.

  • /splitty:splitty-run

    Execute an existing splitty pipeline file (or resume a run by id).

  • /splitty:splitty

    Run a chunk-level pipes-and-filters analysis. Designs a pipeline from your request (or reuses one you point at) and drives it to completion with sub-agents.

Subagents (1)

  • splitty-filter

    Substrate sub-agent for splitty pipelines. The orchestrator (the /splitty-run skill in the main conversation) invokes this agent once per pipeline step, passing a fully-composed prompt that includes the per-stage agent persona, the stage instructions, the chunk or upstream-output content, and the ex

View source on GitHub

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