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Pipeline Router

Community
WILLOSCAR
pipeline-router

Route an unbound research Goal to one Workflow or materialize its initial C0 kickoff block; use during initial binding, not for later checkpoint summaries or approval.

Overview

PublisherWILLOSCAR
Repositoryresearch-units-pipeline-skills
Skill namepipeline-router
Stars
513
Forks
39
Bundled files
2
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by WILLOSCAR on GitHub. Read the source before you install it.

Installation

Install the Pipeline Router AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/pipeline-router
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git /tmp/research-units-pipeline-skills
mkdir -p .claude/skills
cp -r /tmp/research-units-pipeline-skills/.codex/skills/pipeline-router .claude/skills/pipeline-router
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pipeline Router in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pipeline Router on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pipeline Router is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Pipeline Router

Routing is a commitment: select one Workflow from the desired Artifact and evidence method, record that choice, and expose the next human Decision.

Inputs

  • GOAL.md, or the current user request when the Workspace is new.
  • Existing PIPELINE.lock.md, UNITS.csv, STATUS.md, and DECISIONS.md when present.
  • docs/PIPELINE_TAXONOMY.md and candidate Pipeline front matter during selection.

Outputs

  • PIPELINE.lock.md for a newly bound Goal.
  • The initial C0 checkpoint block in DECISIONS.md.
  • queries.md when the selected retrieval Workflow starts at C0.
  • A synchronized current Pipeline/checkpoint projection in STATUS.md.

Steps

1. Establish the requested Artifact

Read the Goal and identify:

  • the reader-facing deliverable;
  • the evidence method it requires;
  • the requested format or delivery profile;
  • the decisions that materially change Workflow selection.

When a routing discriminator is missing, write the smallest grouped question set to DECISIONS.md and stop at that Decision.

Completion criterion: every fact that can change the Workflow choice is known or explicitly bounded in DECISIONS.md.

2. Select one Workflow

Load docs/PIPELINE_TAXONOMY.md, then inspect only the candidate Pipeline contracts. Choose from target Artifact and evidence method rather than keyword matching alone. Treat delivery profiles and course-report use cases as overlays inside their existing Workflow family.

Completion criterion: exactly one executable Pipeline is selected and its target Artifacts match the Goal.

3. Materialize the commitment

Write PIPELINE.lock.md with:

text
pipeline: <pipeline path>
units_template: <template path from Pipeline front matter>
locked_at: <YYYY-MM-DD>

Initialize UNITS.csv from that template when the Workspace is new. Preserve a valid existing lock; a route change is an explicit operator Decision followed by reinitialization or migration, never a silent rewrite.

Completion criterion: the lock, Unit template, and Workspace projection refer to the same Pipeline.

4. Expose the C0 checkpoint

Materialize the C0 kickoff block and approval checkbox in DECISIONS.md. Seed queries.md from the Goal when retrieval is part of the selected Workflow. Later checkpoints use checkpoint-brief. Historical Workspaces whose saved Unit still invokes pipeline-router after C0 are delegated to checkpoint-brief with a deprecation warning; the router never approves them.

The deterministic helper may be used after selection:

bash
uv run python .codex/skills/pipeline-router/scripts/run.py \
  --workspace workspaces/<name> \
  --checkpoint C0

Completion criterion: DECISIONS.md contains the C0 checkpoint and one clear approval or answer surface; retrieval Workflows have a non-empty C0 query seed.

5. Verify the route

Check that the locked Pipeline exists, its Unit template exists, and the active checkpoint is represented in both STATUS.md and DECISIONS.md.

Completion criterion: the Pipeline Runner can continue from Workspace files without making another routing inference.

Context Pointers

  • Read docs/PIPELINE_TAXONOMY.md only while selecting or deliberately changing a Workflow.
  • After selection, the locked pipelines/*.pipeline.md is the execution contract and the taxonomy leaves context.
  • Use assets/pipeline-selection-form.md only when missing routing facts require a human answer.
  • Run the helper with --help when C0 materialization needs debugging; the helper records the initial route projection but does not choose one.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Pipeline Router AI skill do?

Route an unbound research Goal to one Workflow or materialize its initial C0 kickoff block; use during initial binding, not for later checkpoint summaries or approval.

Why use Pipeline Router on TypingMind?

Because you install it once and use it with any model. Pipeline Router is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pipeline Router in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/pipeline-router. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Pipeline Router?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pipeline Router?

As many as you like. As long as a model supports skills, you can use Pipeline Router with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pipeline Router AI skill free?

It is published on GitHub by WILLOSCAR. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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