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Parallel Task

Community
jdrhyne
parallel-task

Coordinate plan files by launching multiple parallel subagents for unblocked tasks. Triggers on explicit "/parallel-task" commands.

Overview

Publisherjdrhyne
Repositoryagent-skills
Skill nameparallel-task
Stars
240
Forks
30
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Parallel Task 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.
  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/jdrhyne/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/parallel-task .claude/skills/parallel-task
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Parallel Task 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 Parallel Task 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 Parallel Task 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.

Parallel Task Runner

Use Orchestration Mode. Parse plan files and delegate tasks to parallel subagents.

Safety Boundaries

  • Do not launch subagents for tasks that share write scope until the dependency is resolved.
  • Do not continue past blockers silently; surface the blocked task and stop that branch of work.
  • Do not mark tasks complete until validation from the plan has actually been checked.
  • Do not run this skill unless the user explicitly invoked /parallel-task or clearly asked for parallel agent work.

Process

Step 1: Parse Request

Extract from user request:

  1. Plan file: The markdown plan to read
  2. Sprint/Phase (optional): Which section to run

If sprint not provided, ask user which to run.

Step 2: Read & Parse Plan

  1. Find sprint/phase section (e.g., ## Sprint 1:)
  2. Extract task subsections (e.g., ### Task 1.1:)
  3. For each task, extract:
    • Task ID and name
    • Full content (description, location, acceptance criteria, validation)
  4. Build task list

Step 3: Launch Subagents

For each task, launch subagent with:

  • description: "Implement task [ID]: [name]"
  • prompt: Use template below

If there are multiple unblocked tasks, launch multiple subagents in parallel.

Task Prompt Template

You are implementing a specific task from a development plan.

## Context
- Plan: [filename] - [sprint/phase]
- Goals: [relevant overview from plan]
- Dependencies: [prerequisites for this task]
- Related tasks: [tasks in same sprint]
- Constraints: [risks from plan]

## Your Task
**Task [ID]: [Name]**

Location: [File paths]
Description: [Full description]

Acceptance Criteria:
[List from plan]

Validation:
[Tests or verification from plan]

## Instructions
1. Examine and explore the plan, all relevant files & dependencies. Ensure ambiguities are cleared up.
2. Implement changes for all acceptance criteria
3. Keep work **atomic and committable**
4. For each file: read first, edit carefully, preserve formatting
5. Run validation if feasible
6. Return summary of:
   - Files modified/created
   - Changes made
   - How criteria are satisfied
   - Validation performed or deferred

## Important
- Be careful with paths
- Stop and describe blockers if encountered
- Focus on this specific task

Step 4: Monitor & Log

After subagents complete:

  1. Collect results
  2. ALWAYS mark completed tasks and update with:
    • Concise work log
    • Files modified/created
    • Errors or gotchas encountered

Step 5: Repeat

Now, pause and read the whole plan again to see what new tasks are unblocked.

Start back at step 3. Continue launching agents on unblocked tasks in parallel.

Repeat this loop until the plan is done.

Do not stop until the plan is fully completed or you encounter a blocker.

Step 6: Validate

After completing all tasks, validate the plan's success by checking the final state against the original plan. Perform available tests and ensure success. If there are any issues, address them before marking the plan as complete.

After validation, provide a summary of:

  • Files modified/created
  • Changes made
  • How criteria are satisfied
  • Validation performed or deferred

Error Handling

  • Sprint not found: List available sprints/phases
  • Parse failure: Show what was tried, ask for clarification

Example Usage

/parallel-task plan.md
/parallel-task ./plans/auth-plan.md sprint 2
/parallel-task user-profile-plan.md phase 1

Run Summary Template

markdown
# Sprint/Phase Run Summary

## Tasks Assigned: [N]

### Completed
- Task [ID]: [Name] - [Brief summary]

### Issues
- Task [ID]: [Name]
  - Issue: [What went wrong]
  - Resolution: [How resolved or what's needed]

### Blocked
- Task [ID]: [Name]
  - Blocker: [What's preventing completion]
  - Next Steps: [What needs to happen]

## Overall Status
[Completion summary]

## Files Modified
[List of changed files]

## Next Steps
[Recommendations]

Frequently asked questions

What does the Parallel Task AI skill do?

Coordinate plan files by launching multiple parallel subagents for unblocked tasks. Triggers on explicit "/parallel-task" commands.

Why use Parallel Task on TypingMind?

Because you install it once and use it with any model. Parallel Task 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 Parallel Task in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jdrhyne/agent-skills/tree/main/skills/parallel-task. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Parallel Task?

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 Parallel Task?

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

Is the Parallel Task AI skill free?

Yes. It is published on GitHub by jdrhyne 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.

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