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Agent Creator

OrganizationPopular
hotovo
agent-creator

Create and configure AiderDesk agent profiles by defining tool groups, approval rules, system prompts, subagent settings, subagent filtering, and provider/model selection. Use when setting up a new agent, creating a profile, or configuring agent tools, permissions, and subagent behavior.

Overview

Publisherhotovo
Repositoryaider-desk
Skill nameagent-creator
Stars
1.4K
Forks
128
Bundled files
6
LicenseApache-2.0
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.

  • 6 bundled files

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

  • Open source

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

Installation

Install the Agent 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/hotovo/aider-desk.git /tmp/aider-desk
mkdir -p .claude/skills
cp -r /tmp/aider-desk/resources/skills/agent-creator .claude/skills/agent-creator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent 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 Agent 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 Agent 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.

Agent Profile Creator

Create agent profiles stored as config.json in ~/.aider-desk/agents/{name}/ (global) or {project}/.aider-desk/agents/{name}/ (project-level).

Read all reference files before proposing a profile to ensure accuracy:

  • references/agent-profile-schema.md — Complete property reference
  • references/subagent-guide.md — Subagent config, system prompts, context memory, filtering
  • references/tool-approval-guide.md — All tool groups, correct tool keys, approval strategies
  • references/profile-examples.md — Complete working examples

Q&A Process

Gather complete requirements before proposing a profile. Ask focused questions, propose internally, and present one final summary for approval.

Step 1: Purpose & Behavior

Ask: "Describe the agent's purpose and what it should do."

Based on the response, internally propose:

  • Name (derived from purpose)
  • Max iterations (default 0 = unlimited; use a finite value like 250 for bounded tasks, or lower for focused tasks like review/analysis: 150)
  • Tool groups (based on purpose — see Step 3)
  • Custom instructions (free-text guidance appended to the system prompt)
  • System prompt — does the agent need a fully custom system prompt that replaces the default built-in one? If the user describes specific behavioral constraints, role, or identity, propose a systemPrompt.
  • Subagent config — should this profile be usable as a subagent? If yes, gather subagent-specific system prompt, invocation mode, color, description, and context memory mode.

Step 2: Provider & Model

Ask: "Which provider/model? (format: provider/model, e.g., anthropic/claude-sonnet-5)"

  • Split by first slash to get provider and model
  • Use as-is (correct obvious typos only)
  • If the user does not specify, default to anthropic / claude-sonnet-5 (matching DEFAULT_AGENT_PROFILE / DEFAULT_PROVIDER_MODELS in packages/common/src/agent.ts). You may ask the user for their preferred provider/model, but if none is given, use these defaults.
  • Optionally ask about temperature and maxTokens if the purpose implies precision (low temp) or creativity (high temp)

Step 3: Tool Groups & Approvals

Based on the purpose, propose tool groups to enable. Present each group with a brief rationale:

Tool Group FlagDescriptionWhen to Enable
usePowerToolsFile read/write/edit, glob, grep, bash, semantic_search, fetchMost agents needing file or system access
useAiderToolsAider AI code generation context management and runCode generation/refactoring agents
useTodoToolsTodo list managementAgents tracking multi-step work
useSubagentsDelegate tasks to subagentsOrchestrator/manager agents
useTaskToolsCreate/list/get/delete/search tasks, run promptsProject management agents
useMemoryToolsStore/retrieve persisted knowledgeMost agents (disabled for stateless ones)
useSkillsToolsActivate skillsAgents that benefit from specialized skills
useExtensionToolsTools provided by installed extensions (default: true)Most agents; disable for sandboxed/isolated profiles

For each enabled group, propose tool approval defaults (always, ask, never). Only include tools in toolApprovals that deviate from the default "ask".

If useSubagents is enabled, ask: "Should this agent use all available subagents or only specific ones?" — set enabledSubagentIds if filtering is needed (omit for all).

Step 4: Subagent Configuration

Ask: "Should this profile be usable as a subagent by other agents?"

If yes, gather:

  • Subagent system prompt — specialized prompt for subagent role (distinct from the main agent systemPrompt)
  • Invocation mode — automatic (needs a clear description) or on-demand
  • Context memory — off (default), last-message, or full-context
  • Color — visual identifier
  • Description — required for automatic invocation; should contain domain keywords

Step 5: Advanced Settings (Optional)

Only ask if user mentioned any of these:

  • Temperature (0.1-1.0)
  • Max tokens
  • Min time between tool calls (rate limiting, in ms)
  • MCP servers to enable (enabledServers)
  • Rule files (markdown files placed in ~/.aider-desk/agents/{name}/rules/)
  • Auto-compaction overrides (autoCompactThresholdPercentage, autoCompactThresholdTokens, autoCompactionType)
  • Bash tool settings (allowedPattern / deniedPattern regex)

If not mentioned, skip this step entirely.

Step 6: Location

Ask: "Global profile (all projects) or project-specific? (default: global)"

Step 7: Review & Confirm

Present one complete summary with all proposed properties:

  • Name, provider/model, temperature/maxTokens (if set)
  • Tool groups enabled with rationale
  • Tool approvals (which are "never", which are "always"; rest default to "ask")
  • System prompt (if any)
  • Custom instructions (if any)
  • Subagent config (if enabled)
  • Subagent filtering (enabledSubagentIds, if applicable)
  • Rule files (if any)
  • Location (global/project)

Ask: "Here's your agent profile. Should I create it?"

Do not ask for confirmations on individual items. Only one final approval.

Step 8: Create

On confirmation:

  1. Choose a unique, readable id (e.g., code-reviewer, security-auditor). No UUID is required — readable names matching the examples are fine, as long as it is unique.
  2. Build the complete config.json — verify structure against references/profile-examples.md
  3. Do not include ruleFiles in config.json — rule files are dynamically discovered from the rules/ subdirectory
  4. Do not include isSubagent — it's a runtime flag
  5. Create the directory and write config.json
  6. If rule files were requested, create them as .md files in a rules/ subdirectory next to config.json

Tool Approval Strategy

Keys: {group}---{tool} (three dashes as separator)

Default is "ask". Only explicitly set:

  • "never": Tools completely irrelevant to the agent's purpose
  • "always": Safe, essential, read-only operations

Do not include tools that should remain at default ("ask").

Only include tool keys that exist in references/tool-approval-guide.md.

System Prompt Strategy

Two distinct system prompt fields exist:

  1. Top-level systemPrompt — overrides the default built-in system prompt when this profile runs as the main agent. Rules files and customInstructions are still appended. Use when the agent needs a completely different identity or behavioral framework.

  2. subagent.systemPrompt — used when this profile runs as a subagent. Passed directly to the subagent's LLM. If empty, falls back to the top-level systemPrompt.

When to use which:

  • Agent works only as main agent → set top-level systemPrompt
  • Agent works only as subagent → set subagent.systemPrompt
  • Agent works in both roles → set both; they can differ for context-appropriate behavior
  • Agent doesn't need custom prompts → leave both empty; default system prompt is used

Subagent Configuration

Every agent can be a subagent. Set subagent.enabled: true to allow delegation.

Context memory modes:

  • "off" — fresh each time (default for most agents)
  • "last-message" — receives last result from previous runs
  • "full-context" — full conversation history (for complex iterative analysis)

Subagent filtering: enabledSubagentIds?: string[] on the parent profile controls which subagents it can use. Omit to allow all. Set to an array of profile id values to restrict. Note: enabledSubagentIds holds profile id values (the same id field set on each profile), not directory names — they only match when a directory name happens to equal the profile id.

See references/subagent-guide.md for detailed guidance.

Minimal config.json Structure

json
{
  "id": "my-agent",
  "name": "my-agent",
  "provider": "anthropic",
  "model": "claude-sonnet-5",
  "maxIterations": 0,
  "minTimeBetweenToolCalls": 0,
  "enabledServers": [],
  "toolApprovals": {
    "power---file_read": "always",
    "power---bash": "ask"
  },
  "toolSettings": {},
  "includeContextFiles": false,
  "includeRepoMap": false,
  "usePowerTools": true,
  "useAiderTools": false,
  "useTodoTools": true,
  "useSubagents": false,
  "useTaskTools": false,
  "useMemoryTools": true,
  "useSkillsTools": true,
  "useExtensionTools": true,
  "disabledExtensionTools": [],
  "customInstructions": "",
  "subagent": {
    "enabled": true,
    "contextMemory": "off",
    "systemPrompt": "",
    "invocationMode": "on-demand",
    "color": "#3368a8",
    "description": ""
  }
}

Note on defaults shown above: id is any unique readable string (no UUID needed). When the user does not specify provider/model, default to anthropic / claude-sonnet-5. maxIterations: 0 means unlimited. includeContextFiles and includeRepoMap both default to false — the values above are defaults; set them to true only when you want context files / repo map included. The subagent color default is #3368a8.

Validation Checklist

Before writing config.json:

  • Unique name
  • Unique, readable id (no UUID required)
  • Provider/model present (use as-is; default to anthropic/claude-sonnet-5 if unspecified)
  • Tool keys use {group}---{tool} format with three dashes
  • Tool approval values are "always", "ask", or "never"
  • Only tools from references/tool-approval-guide.md are in toolApprovals
  • systemPrompt set only if custom behavior is needed
  • subagent.enabled reflects whether this profile should be delegable
  • If subagent.invocationMode is "automatic", description is non-empty
  • If useSubagents is true and filtering needed, enabledSubagentIds is set
  • useExtensionTools and disabledExtensionTools included (default: true / [])
  • ruleFiles NOT in config.json (dynamically discovered)
  • isSubagent NOT in config.json (runtime flag)
  • All boolean tool group flags present
  • Directory location matches user preference (global/project)

Resources

  • references/agent-profile-schema.md — Complete schema with all properties and types
  • references/subagent-guide.md — Subagent config, context memory, filtering, system prompts
  • references/tool-approval-guide.md — All tool groups and correct tool keys
  • references/profile-examples.md — Complete working examples
  • assets/templates/config.json.template — Template
  • assets/examples/sample-profile.json — Example profile

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 Agent Creator AI skill do?

Create and configure AiderDesk agent profiles by defining tool groups, approval rules, system prompts, subagent settings, subagent filtering, and provider/model selection. Use when setting up a new agent, creating a profile, or configuring agent tools, permissions, and subagent behavior.

Why use Agent Creator on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hotovo/aider-desk/tree/main/resources/skills/agent-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 Agent 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 Agent Creator?

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

Is the Agent Creator AI skill free?

Yes. It is published on GitHub by hotovo under the Apache-2.0 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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