Codely Plan Create Subagents logo

Codely Plan Create Subagents

Organization
CodelyTV
codely-plan-create-subagents

Create a plan for the specified task.

Overview

PublisherCodelyTV
Repositoryagent-harness
Skill namecodely-plan-create-subagents
Stars
287
Forks
13
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Codely Plan Create Subagents 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/CodelyTV/agent-harness/tree/main/.agents/skills/codely-plan-create-subagents
  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/CodelyTV/agent-harness.git /tmp/agent-harness
mkdir -p .claude/skills
cp -r /tmp/agent-harness/.agents/skills/codely-plan-create-subagents .claude/skills/codely-plan-create-subagents
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codely Plan Create Subagents 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 Codely Plan Create Subagents 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 Codely Plan Create Subagents 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.

🧠 How to create a plan

The structure of a plan, its sections and the rules to shape them are defined in resources/plan-guidelines.md. Read it before proposing anything.

  1. Ask the user for the task to create a plan for if not specified.

  2. Explore the codebase using subagents, as described in 🔍 Codebase exploration with subagents. Do not explore the codebase yourself: delegate it.

  3. Define task phases, letting the user choose the amount of phases as described in the guidelines.

  4. Specify the public contracts to be created/modified/deleted on each phase task, as described in the guidelines.

  5. Propose the plan to the user for approval. IMPORTANT: Do not start creating the plan file until the user has agreed on the specific contracts to be considered and the implementation phases.

  6. Save the plan in a new file inside a subfolder of .agents/plans with the current date and a semantic name based on the task description. The structure is: .agents/plans/{plan-name}/{plan-name}-plan.md. Example: 2026_01_16-create_embeddable_changelog_widget/2026_01_16-create_embeddable_changelog_widget-plan.md.

  7. Suggest next steps

    • Once you create the plan file, ask the user what do they want to do:
      • Do not do anything else.

      • Commit the plan file to the repository by running the /codely-git-conventional-commit skill. Consider plan file only changes as docs type.

      • Implement the plan by running the /codely-plan-phase-implement @plan-file-path skill.

      • Commit the plan file and then implement Phase 1 only.

    [!IMPORTANT] If the user asks to "commit and implement", commit the plan file first, then implement only Phase 1. Never implement all phases at once. The /codely-plan-phase-implement skill handles one phase per invocation.

🔍 Codebase exploration with subagents

Gather the context needed for the plan (relevant files, existing conventions, current behavior, affected contracts) by delegating the exploration to subagents instead of reading the codebase yourself. Keep the main agent focused on reasoning and on writing the plan.

  • Reuse an existing exploration subagent if there is one.
  • Use cheaper models for the subagents. Pick a lighter/faster model from the same family whenever the tool allows overriding it. For example, in a session running Opus, Fable or Sonnet, launch the exploration subagents with Haiku.
  • Decide how many subagents to launch based on the task. A small, well-localized change may need a single subagent, while a task touching several bounded contexts, layers, or screens deserves one subagent per independent area of research. Max 4.
  • Launch independent subagents in parallel, in a single batch, so the exploration does not become sequential.
  • Give each subagent a narrow, self-contained assignment. e.g., explore architecture, frontend, backend, different features, separate repos…
  • Ask each one to report back the concrete file paths, the relevant existing contracts, and the conventions to follow, instead of dumping whole files.
  • Synthesize the subagent reports yourself before proposing the plan. Read directly only the specific files you still need to confirm a contract or a convention.

🗃️ Frontmatter

The plan file should contain the following frontmatter:

markdown
---
name: "{ plan_name }"
description: "{ plan_description }"
created_at: "{ current_date }"

created_by:
  tool: "{ tool }"
  model:
    name: "{ model.name }"
    version: "{ model.version }"
    reasoning_effort: "{ model.reasoning_effort }"
---
  • current_date: The current date in the format ISO 8601 RFC 3339 (YYYY-MM-DDTHH:MM:SSZ).
  • created_by.tool: The AI coding tool used (e.g. Claude Code, Cursor, Copilot, Codex)
  • created_by.model.name: The name of the model used to make the change (e.g. Claude Opus, Cursor Composer, OpenAI GPT)
  • created_by.model.version: The version of the model used to make the change (e.g. 4.6, 1.5, 5.4)
  • created_by.model.reasoning_effort: The reasoning effort of the model used to make the change (e.g. low, medium, high)

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 Codely Plan Create Subagents AI skill do?

Create a plan for the specified task.

Why use Codely Plan Create Subagents on TypingMind?

Because you install it once and use it with any model. Codely Plan Create Subagents 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 Codely Plan Create Subagents in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/CodelyTV/agent-harness/tree/main/.agents/skills/codely-plan-create-subagents. 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 Codely Plan Create Subagents?

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 Codely Plan Create Subagents?

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

Is the Codely Plan Create Subagents AI skill free?

It is published on GitHub by CodelyTV. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇