Work Pipeline

CommunityPopular

davepoon

work-pipeline

Triggers the WORK-PIPELINE when a user request starts with a [] tag (e.g., [new-feature], [bugfix], [WORK start]). Use this skill whenever you detect a [] tag at the beginning of a user message.

Overview

Publisher	davepoon
Repository	`buildwithclaude`
Skill name	`work-pipeline`
Stars	3.5K
Forks	509
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by davepoon on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/davepoon/buildwithclaude/tree/main/plugins/agents-uc-taskmanager/skills/work-pipeline

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/davepoon/buildwithclaude.git /tmp/buildwithclaude
mkdir -p .claude/skills
cp -r /tmp/buildwithclaude/plugins/agents-uc-taskmanager/skills/work-pipeline .claude/skills/work-pipeline

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Work Pipeline 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 Work Pipeline 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 Work Pipeline 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.

WORK-PIPELINE Trigger

When the user's message starts with a [] tag, start the WORK-PIPELINE by reading ../skills/sdd-pipeline/references/agent-flow.md and following the orchestration flow.

Trigger Detection

Any message starting with [...] triggers this pipeline:

[new-feature], [enhancement], [bugfix], [new-work], [WORK start]
Or any custom tag in square brackets

References Directory (CRITICAL)

When this skill is triggered, Claude Code provides the "Base directory for this skill" as an absolute path. Derive the REFERENCES_DIR from it:


REFERENCES_DIR = {Base directory}/../sdd-pipeline/references

You MUST pass this absolute path to every sub-agent invocation (specifier, planner, scheduler, builder, verifier, committer). Include it at the top of the prompt text:


REFERENCES_DIR={absolute_path}

Sub-agents need this path to read their reference files. Without it, they cannot find the files and will loop.

Pipeline Flow

Call specifier agent — analyzes the requirement, creates works/WORK-NN/Requirement.md, determines execution-mode (direct/pipeline/full)
⛔ STOP — Present the specifier's output summary to the user and WAIT for explicit approval. Do NOT call the next agent until the user approves. Show what was created (Requirement.md, PLAN.md if direct mode, TASK files) and ask "Proceed?"
Follow the execution-mode returned by specifier:
- direct: call builder → committer
- pipeline: call builder → verifier → committer in sequence
- full: call planner → ⛔ STOP for 2nd approval → scheduler → [builder → verifier → committer] × N

Auto Mode

If the user's message ends with "auto" or "자동으로", skip ALL approval steps and execute the entire pipeline automatically. This is the ONLY case where approval gates can be skipped.

Arguments

User requirement: $ARGUMENTS

Frequently asked questions

What does the Work Pipeline AI skill do?

Triggers the WORK-PIPELINE when a user request starts with a [] tag (e.g., [new-feature], [bugfix], [WORK start]). Use this skill whenever you detect a [] tag at the beginning of a user message.

Why use Work Pipeline on TypingMind?

Because you install it once and use it with any model. Work Pipeline 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 Work Pipeline in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davepoon/buildwithclaude/tree/main/plugins/agents-uc-taskmanager/skills/work-pipeline. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Work Pipeline?

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 Work Pipeline?

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

Is the Work Pipeline AI skill free?

Yes. It is published on GitHub by davepoon under the MIT license. 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.

View all

Setup Matt Pocock Skills

mattpocock

CommunityPopular

Configure this repo for the engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.

Tdd

Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.

To Spec

Turn the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed.

To Tickets

Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker (edges as text in one file per ticket…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

WORK-PIPELINE Trigger

Trigger Detection

References Directory (CRITICAL)

Pipeline Flow

Auto Mode

Arguments

Frequently asked questions

Related AI Skills

Set up your own AI workspace now