role-creator — for Claude Code role-creator, mvp-repo, community, for Claude Code, ide skills, config_file, model_reasoning_effort, developer_instructions, global, project

v1.0.0

À propos de ce Skill

Scenario recommande : Ideal for AI agents that need non-negotiable inputs. Resume localise : # Role Creator Overview Use this skill when the user wants to create, update, or troubleshoot custom subagent roles backed by [agents.<role ] and a role config file. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Fonctionnalités

Non-Negotiable Inputs
Step 1 must always be input collection. Before running any write/install/validate command, collect
model reasoning effort
developer instructions
install scope (global or project)

# Core Topics

kutluG kutluG
[0]
[0]
Updated: 4/7/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
10/11
Quality Score
55
Canonical Locale
en
Detected Body Locale
en

Scenario recommande : Ideal for AI agents that need non-negotiable inputs. Resume localise : # Role Creator Overview Use this skill when the user wants to create, update, or troubleshoot custom subagent roles backed by [agents.<role ] and a role config file. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Pourquoi utiliser cette compétence

Recommandation : role-creator helps agents non-negotiable inputs. Role Creator Overview Use this skill when the user wants to create, update, or troubleshoot custom subagent roles backed by [agents.<role ] and a role

Meilleur pour

Scenario recommande : Ideal for AI agents that need non-negotiable inputs.

Cas d'utilisation exploitables for role-creator

Cas d'usage : Applying Non-Negotiable Inputs
Cas d'usage : Applying Step 1 must always be input collection. Before running any write/install/validate command, collect
Cas d'usage : Applying model reasoning effort

! Sécurité et Limitations

  • Limitation : Step 1 must always be input collection. Before running any write/install/validate command, collect and confirm:
  • Limitation : Do not infer missing required values.
  • Limitation : Do not set sandbox flags unless explicitly requested.

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

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FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is role-creator?

Scenario recommande : Ideal for AI agents that need non-negotiable inputs. Resume localise : # Role Creator Overview Use this skill when the user wants to create, update, or troubleshoot custom subagent roles backed by [agents.<role ] and a role config file. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

How do I install role-creator?

Run the command: npx killer-skills add kutluG/mvp-repo/role-creator. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for role-creator?

Key use cases include: Cas d'usage : Applying Non-Negotiable Inputs, Cas d'usage : Applying Step 1 must always be input collection. Before running any write/install/validate command, collect, Cas d'usage : Applying model reasoning effort.

Which IDEs are compatible with role-creator?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for role-creator?

Limitation : Step 1 must always be input collection. Before running any write/install/validate command, collect and confirm:. Limitation : Do not infer missing required values.. Limitation : Do not set sandbox flags unless explicitly requested..

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add kutluG/mvp-repo/role-creator. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use role-creator immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

role-creator

Install role-creator, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Role Creator

Overview

Use this skill when the user wants to create, update, or troubleshoot custom subagent roles backed by [agents.<role>] and a role config_file.

This skill installs the role into ~/.codex/config.toml (or a user-selected project config), writes the role-specific config file, and validates key support against codex-rs/core/config.schema.json.

Default behavior is strict-minimal: configure only model, model_reasoning_effort, and developer_instructions unless the user explicitly asks for additional parameters.

Default location is ~/.codex/config.toml however, if the user asks for a project scoped role, the role will be installed in the project's .codex/config.toml. Can also be installed to subfolders in a repo.

Non-Negotiable Inputs

Step 1 must always be input collection. Before running any write/install/validate command, collect and confirm:

  • model
  • model_reasoning_effort
  • developer_instructions
  • install scope (global or project)
  • role_name
  • description
  • role_config_file (absolute path preferred)

Ask concise questions:

  1. Which model should this role use? (recommend: gpt-5.3-codex)
  2. What reasoning effort should it use? (recommend: medium; options medium|high|xhigh)
  3. What should the role's developer instructions prioritize? (goal, boundaries, success criteria)
  4. Do you want this installed globally (~/.codex/config.toml) or in a project (.codex/config.toml)?
  5. Do you want any sandboxing, web_search, MCP, or other restrictions?
  6. What role name and description should be shown in spawn_agent?

Execution gate:

  • Do not infer missing required values.
  • Do not start Step 2 (writing files) until all required inputs above are explicitly provided or explicitly accepted as defaults by the user.

Default Policy For Optional Parameters

  • Do not set sandbox flags unless explicitly requested.
  • Do not set web_search unless explicitly requested.
  • Do not set MCP flags/entries unless explicitly requested.
  • Do not add any other optional config_file keys unless explicitly requested.
  • If user intent is ambiguous, ask a short clarification question before adding optional keys.

Knowledge vs Application Rule

The role creator must know the full configuration surface area, but must only apply keys the user asked for.

  • Required behavior:
  • Explain available optional categories when helpful.
  • Provide specific examples/templates when user asks what is possible.
  • Keep generated config minimal by default.
  • Add optional keys only with explicit user request.
  • If user says "keep defaults/inherit", omit optional keys rather than setting explicit values.

Role Config Surface Area (What Can Be Customized)

Role config_file is parsed as a full config layer. If a key is omitted, it generally inherits from the parent.

  • Model and reasoning:
  • model
  • model_reasoning_effort
  • model_reasoning_summary
  • model_verbosity
  • personality
  • Core behavior:
  • developer_instructions
  • Sandboxing and permissions:
  • sandbox_mode
  • [sandbox_workspace_write] fields like network_access, writable_roots
  • Web search:
  • web_search (disabled|cached|live)
  • Feature toggles:
  • [features] keys such as memory_tool, shell_tool
  • MCP servers:
  • [mcp_servers.<name>] entries (enabled, required, command, args, env_vars)
  • Apps/connectors:
  • [apps.<name>] entries (enabled)

When user asks for advanced role controls, use concrete examples from:

  • templates/minimal-role-config.toml
  • templates/restricted-role-config.toml
  • templates/full-role-config.toml
  • templates/frontend-architecture-role.toml

Supported Role Declaration Keys

For [agents.<role_name>], only these keys are supported:

  • description
  • config_file

Do not add anything else under [agents.<role_name>].

Workflow

  1. Collect and confirm required inputs (hard gate).
  • Ask for model, reasoning, developer instructions, install scope, role name, description, and role config file path.
  • Confirm whether to use defaults only if user explicitly agrees.
  • Do not write files in this step.
  1. Validate environment and resolved paths.
  • Ensure repo schema exists: codex-rs/core/config.schema.json
  • Resolve config target from scope:
  • global -> ~/.codex/config.toml
  • project -> <project>/.codex/config.toml
  1. Create or update role config file.
  • Use scripts/write_role_config.sh to write required fields.
  • Add optional controls only if the user explicitly requested them.
  • Optional controls supported by script:
  • sandbox_mode + workspace-write settings
  • web_search mode (set to disabled to prevent web search)
  • MCP controls (mcp_clear, mcp_enable, mcp_disable)
  • If user wants options beyond script flags (for example model_reasoning_summary, features, apps, rich MCP server definitions), start from a template under templates/ and edit manually, then run validation.
  • Communicate clearly in output:
  • Configured now: keys that were written
  • Available but not set: relevant optional keys left to inherit
  1. Install role in main config.
  • Use scripts/install_role.sh.
  • This writes/updates:
  • features.multi_agent = true
  • [agents.<role_name>] description/config_file
  • Additive safety:
  • Installer only mutates role-related keys and keeps the rest of config.toml intact.
  • Installer always creates a timestamped backup of the target config.toml before writing.
  • Existing role definitions are not overwritten unless --update-existing is passed.
  1. Validate before reporting success.
  • Use scripts/validate_role.sh.
  • Confirm required role-config fields are present.
  • Confirm role declaration keys are only description/config_file.
  • Confirm top-level role config keys are valid against schema.
  1. Share runnable spawn example.
  • Example:
json
1{"agent_type":"<role_name>","message":"<task>"}

Commands

bash
1# 1) Write role config file (required fields only; default behavior) 2.codex/skills/role-creator/scripts/write_role_config.sh \ 3 --output ~/.codex/agents/researcher.toml \ 4 --role-name researcher \ 5 --model gpt-5.3-codex \ 6 --reasoning medium \ 7 --developer-instructions "Research code and docs only; no edits; return file:line evidence." 8 9# 1b) Optional controls (only when explicitly requested) 10.codex/skills/role-creator/scripts/write_role_config.sh \ 11 --output ~/.codex/agents/researcher.toml \ 12 --role-name researcher \ 13 --model gpt-5.3-codex \ 14 --reasoning medium \ 15 --developer-instructions "Research code and docs only; no edits; return file:line evidence." \ 16 --sandbox-mode workspace-write \ 17 --network-access false \ 18 --writable-roots "/home/willr/Applications/codex1" \ 19 --web-search disabled 20 21# 2) Register role in ~/.codex/config.toml 22.codex/skills/role-creator/scripts/install_role.sh \ 23 --role-name researcher \ 24 --description "Read-only codebase research specialist" \ 25 --role-config-file ~/.codex/agents/researcher.toml 26 27# 2b) Intentionally update an existing role definition 28.codex/skills/role-creator/scripts/install_role.sh \ 29 --role-name researcher \ 30 --description "Updated role description" \ 31 --role-config-file ~/.codex/agents/researcher.toml \ 32 --update-existing 33 34# 3) Validate role config and declaration keys 35.codex/skills/role-creator/scripts/validate_role.sh \ 36 --role-name researcher \ 37 --config ~/.codex/config.toml \ 38 --role-config ~/.codex/agents/researcher.toml \ 39 --schema /home/willr/Applications/codex1/codex-rs/core/config.schema.json

Guardrails

  • If runtime returns unknown agent_type, verify role exists in active config and config_file path exists/readable.
  • If runtime returns agent type is currently not available, inspect role file TOML validity and unsupported keys.
  • Keep instructions role-specific and operational (scope, do/don't, deliverable format).
  • Do not claim success without running validation.

References

  • Role key matrix and runtime behavior: references/role-config-reference.md
  • Reusable templates: templates/

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