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Subagent Creator

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luongnv89
subagent-creator

Create, evaluate, or improve Claude Code subagent files (.claude/agents/*.md) — the frontmatter + system prompt defining a delegatable specialist. Don't use for skills (skill-creator), CLAUDE.md/AGENTS.md (agent-config), or running an agent.

Overview

Publisherluongnv89
Repositoryskills
Skill namesubagent-creator
Stars
124
Forks
18
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

    Published by luongnv89 on GitHub. Read the source before you install it.

Installation

Install the Subagent Creator 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/luongnv89/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/subagent-creator .claude/skills/subagent-creator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Subagent Creator 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 Subagent Creator 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 Subagent Creator 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.

Subagent Creator

Create, evaluate, and improve Claude Code subagents — the .md files (in .claude/agents/ for a project or ~/.claude/agents/ for personal use) whose YAML frontmatter plus system prompt define a specialist the main agent can delegate to with an isolated context window and restricted tools.

This is not about skills (skill-creator owns those) or CLAUDE.md/AGENTS.md (agent-config owns those). A subagent is one file: frontmatter (name, description, tools, model, …) + a system-prompt body.

When to Use

Use when the user asks to create, review, or fix a Claude Code subagent definition file (.claude/agents/*.md or personal ~/.claude/agents/*.md). Do not use for skills or for editing CLAUDE.md/AGENTS.md.

Pick the branch first

Three branches. Identify which one the user is on before doing anything else — they don't share a starting step.

BranchTriggerGo to
Create"make a subagent that…", "I need an agent for X", no file exists yetCreating a subagent
Evaluate"review this agent", "is this subagent any good", "audit .claude/agents/foo.md"Evaluating a subagent
Improve"fix this agent", "this subagent isn't triggering / over-reaches", points at an existing fileImproving a subagent

If the request is ambiguous ("look at my agent"), assume Evaluate and confirm before editing anything.

Mandatory rules (all branches)

These apply on every write, regardless of branch.

Repo Sync Before Edits (when target is a project repo)

A subagent written to .claude/agents/ lives in a version-controlled repo. Before creating or editing a file there, sync to avoid clobbering remote work:

bash
branch="$(git rev-parse --abbrev-ref HEAD)"
git fetch origin
git pull --rebase origin "$branch"

If the working tree is dirty: stash → sync → pop. If origin is missing or a conflict occurs: stop and ask the user. Skip this section only when the target is ~/.claude/agents/ (personal, not a repo) — confirm the scope with the user before assuming.

Frontmatter safety + version

  • Subagent file name must be lowercase letters/digits/hyphens, no consecutive hyphens. Identity comes from name, not the filename — they need not match, but keeping name == filename stem (code-reviewercode-reviewer.md) is a recommended convention.
  • Quote any frontmatter string value containing : # - < > | , & ? ! [ ] { } * to keep YAML valid. description almost always needs quotes.
  • This SKILL.md itself follows the catalog's own rule: bump metadata.version on every edit.

Scope check (one question, not an interview)

Confirm where the file goes.claude/agents/<name>.md (project, team-shared, version-controlled) or ~/.claude/agents/<name>.md (personal, cross-project). This decides Repo Sync above and nothing else. The source guideline encodes the rest of the intent, so don't over-interview.


Creating a subagent

Goal: one well-formed <name>.md file that triggers reliably, stays in its lane, and holds only the tools it needs.

1. Capture the specialist in one sentence

A good subagent has a single responsibility. Force the purpose into one sentence: "A read-only security auditor that flags auth and data-exposure bugs in changed files." If you need "and" to join two unrelated jobs, that's two subagents. Read references/system-prompt-guide.mdSingle responsibility if the scope feels fuzzy.

2. Choose frontmatter

Start from the minimal set and add only what the job demands. Read references/frontmatter-schema.md for every field, which are safe-and-common vs. advanced-and-rot-prone, and the tool-restriction syntax.

Minimal viable frontmatter:

yaml
---
name: <kebab-name>
description: "<when to invoke + what it does. Add 'Use PROACTIVELY' to encourage auto-delegation.>"
tools: Read, Grep, Bash   # omit entirely to inherit ALL tools
model: inherit            # inherit | sonnet | opus | haiku
---

Decisions, in order:

  • description — the primary trigger. Say when to invoke and what it does. Add Use PROACTIVELY (or MUST BE USED) when the agent should auto-delegate. This is the single highest-leverage field; see the description guidance in references/system-prompt-guide.md.
  • tools — least privilege. Prefer read-only (Read, Grep, Glob) for analysis/review agents; add Edit/Write only for agents that change code; scope Bash to patterns (Bash(npm:*), Bash(git:*)) when you can. Omitting tools inherits everything — only do that for general-purpose agents.
  • modelinherit is the safe default. Use haiku for fast/cheap search agents, opus for hard reasoning.
  • Anything beyond these (maxTurns, isolation, memory, context, hooks, …) → consult references/frontmatter-schema.md first; most subagents need none of them.

3. Write the system-prompt body

The body is the agent's system prompt. Use the proven structure — role → when invoked → process → output format → checklist. Read references/system-prompt-guide.md for the full template, the "be example-rich" guidance, and an annotated example. Start from a template in assets/templates/ (reviewer-agent.md for read-only analysis agents, worker-agent.md for agents that edit code) rather than a blank file.

4. Write the file and validate

Write to the path confirmed in the scope check. Then verify it parses and follows the design rules — run the evaluation rubric against your own draft (it's the same checklist; see Evaluating). At minimum confirm: frontmatter parses, name matches filename, tools is least-privilege, description has both a when and a what.

Emit a Step Completion Report:

◆ Create subagent (step 4 of 4 — <name>.md)
··································································
  Frontmatter parses:    √ pass
  name == filename:      √ pass
  Single responsibility: √ pass
  Tools least-privilege: √ pass (read-only: Read, Grep)
  Description: when+what: √ pass
  ____________________________
  Result:                PASS

Evaluating a subagent

Goal: a verdict on an existing subagent file against design best practices — a checklist audit, not an eval harness. No test runs, no benchmarks; the source guideline defines quality by design principles, so grade against those.

  1. Read the target file (frontmatter + body). Identify its claimed responsibility.
  2. Walk every item in references/evaluation-rubric.md — frontmatter validity, single responsibility, least-privilege tools, description quality (trigger clarity + proactive hint), system-prompt structure, and the anti-patterns list.
  3. Score each item √ pass / × fail / ~ partial with a one-line reason.
  4. Output findings as before/after suggestions. In Evaluate mode, do not silently edit the file — surface the fixes and let the user decide (or switch to Improve).

Emit a Step Completion Report with one check per rubric category and an overall PASS | FAIL | PARTIAL.


Improving a subagent

Goal: apply concrete fixes to an existing file and leave it measurably better.

  1. Run the Evaluate branch first (above) to get the findings list. Don't skip — fixing without auditing misses the systemic issues.

  2. Apply Repo Sync Before Edits if the file is in a project repo.

  3. Apply fixes, ordered by impact:

    • Triggering problems (under/over-firing) → rewrite description: sharpen when, add/adjust Use PROACTIVELY, name what it's not for. Highest leverage.
    • Over-reach (agent does too much) → split responsibilities or tighten the body's scope.
    • Over-provisioned tools → reduce to least privilege; prefer read-only.
    • Weak body → impose the role → when-invoked → process → output → checklist structure.

    See references/system-prompt-guide.md for the patterns behind each fix.

  4. Re-run the rubric to confirm the findings are resolved and nothing regressed.

  5. Emit a Step Completion Report showing each prior × fail now √ pass.


Acceptance Criteria

A successful run produces:

  • A subagent file with valid YAML frontmatter, name (kebab), description containing when+what + negative-trigger, and least-privilege tools.
  • Step Completion Report with per-rubric-item √/× and overall PASS|PARTIAL|FAIL.
  • For Improve: before/after rubric comparison showing net positive change.
  • No edits outside the confirmed target path (project .claude/agents/ or ~/.claude/agents/).

Expected output

For a Create on "a read-only PR diff reviewer":

◆ Create subagent (step 4 of 4 — pr-diff-reviewer.md)
  Frontmatter parses:    √ pass
  name == filename:      √ pass
  Single responsibility: √ pass
  Tools least-privilege: √ pass (read-only: Read, Grep, Glob)
  Description: when+what: √ pass
  ____________________________
  Result:                PASS

The file is written and ready for use.

Edge cases

  • User points at a file but the request is "make a new one for X": treat as Create after confirming path.
  • Ambiguous trigger language: default to Evaluate and ask for clarification.
  • Target path is inside a git repo with dirty tree: perform Repo Sync (stash / pull / pop) before write.
  • Subagent name would collide with skill or agent-config names: reject and suggest different name (see negative triggers in description).

Reference files

  • references/frontmatter-schema.md — every frontmatter field: required vs. optional, safe-and-common vs. advanced, tool-restriction syntax, file-location precedence. Read before choosing frontmatter.
  • references/system-prompt-guide.md — how to write the system-prompt body: single-responsibility test, the role→when→process→output→checklist template, description-writing, an annotated example, design Do/Don't.
  • references/evaluation-rubric.md — the pass/fail checklist for Evaluate and the self-check in Create. The anti-pattern list lives here.

Templates

  • assets/templates/reviewer-agent.md — read-only analysis/review agent (Read, Grep, Glob; no edits).
  • assets/templates/worker-agent.md — agent that edits code (Read, Edit, Bash, …).

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 Subagent Creator AI skill do?

Create, evaluate, or improve Claude Code subagent files (.claude/agents/*.md) — the frontmatter + system prompt defining a delegatable specialist. Don't use for skills (skill-creator), CLAUDE.md/AGENTS.md (agent-config), or running an agent.

Why use Subagent Creator on TypingMind?

Because you install it once and use it with any model. Subagent Creator 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 Subagent Creator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/luongnv89/skills/tree/main/skills/subagent-creator. 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 Subagent Creator?

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 Subagent Creator?

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

Is the Subagent Creator AI skill free?

Yes. It is published on GitHub by luongnv89 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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