dprofile 0.2.1

Agent profile switcher for USER.md, SOUL.md, and AGENTS.md persona sets.

🎭 dprofile

Instant Persona Switching for AI Agents.

dprofile is a safe, deterministic profile switcher designed for the modern Agent era. It treats persona sets (USER.md, SOUL.md, AGENTS.md) as atomic units, allowing both humans and AI Agents to swap identities in milliseconds.

SKILL.md is the primary Agent interface for this project. It defines the workflow and safety rules. The CLI is the secondary deterministic executor and fallback guide.

中文版 (Chinese Version)

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✨ Key Features

• 🤖 Agent-Native: Designed to be called by Agents to self-evolve or switch sub-agent configurations.
• 🛡️ Safety First: Automatic backups, state tracking, and validation of target directories.
• 🏗️ The Three-Layer Model:
  • USER.md: Who you are helping (Background & Preferences).
  • SOUL.md: Who you are (Identity & Values).
  • AGENTS.md: How you work (Tools & Protocols).
• 🔗 Hybrid Modes: Switch via Symlinks (for live updates) or Copy (for portable exports).

🚀 Quick Start

Start by installing the Agent skill. In your Agent, ask:

Install the dprofile skill from github.com/pythias/dprofile.

After the skill is installed, ask the Agent to use a profile:

Use the coding profile for this project with Codex.

The Agent should read SKILL.md, classify the target, and choose the correct operation. For code projects, that usually means generating adapter files through dprofile init.

The CLI is optional but recommended for deterministic execution:

pip install dprofile

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📖 Usage Patterns

1. Agent Configs

Agents use dprofile to switch their own identity or configure specialized worker profiles in Agent-owned config directories.

# Agent instruction: "Switch my Codex persona to 'architect'."
dprofile switch architect --target-dir ~/.codex

2. Code Projects

Code projects may be opened by many Agents and IDEs, so dprofile treats USER.md, SOUL.md, and AGENTS.md as profile source files rather than files to drop into a repository root.

For project directories, use the adapter workflow described in SKILL.md: generate under .dprofile/generated/<adapter>/ first, then activate only the Agent-specific files you want, such as CLAUDE.md, .cursor/rules/dprofile.mdc, .github/copilot-instructions.md, GEMINI.md, or AGENTS.md.

Adapters do not all receive the same source layers. Claude and Gemini get the full profile context, while Cursor, Copilot, Codex, and OpenCode default to the operating protocol layer so project instructions stay focused.

# Install project instructions for one AI assistant
dprofile init coding --target-dir . --ai codex

# Install for several assistants
dprofile init coding --target-dir . --ai claude,cursor,copilot

# Generate only, without activating native files
dprofile apply coding --target-dir . --agents all

3. Optional CLI (Human or Automation)

Developers can manage Agent-owned config directories directly.

# List all available personas
dprofile list

# Switch a dedicated Agent config directory to 'coding' mode
dprofile switch coding --target-dir ./my-project/.agent-config

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🗃️ Bundled Profiles

dprofile comes with 25+ production-ready personas categorized for quick access:

🏗️ Engineering & AI

• architect: System boundaries and engineering decisions.
• coding: Direct implementation and fixes.
• reviewer: Risk-first feedback and code quality.
• debugger: Hypothesis-driven root cause analysis.
• ops: SRE, production, and infrastructure.
• ai-infra: GPUs, vLLM, MCP, and inference optimization.
• ml-researcher: Model experiments and benchmarks.

📝 Content & Design

• writer: Long-form content and editing.
• copywriter: Conversion, headlines, and clarity.
• social-media: Platform-native posts (X, Red, Weibo).
• designer: UI systems and visual design.

🚀 Strategy & Product

• product-manager: Scenarios, scope, and PRDs.
• founder-mode: High-leverage judgment and growth.
• sales: Persuasion, demos, and follow-ups.
• customer-support: Resolution and FAQ management.

🧠 Critical Thinking & Utility

• slow-thinker: Deep reasoning and alternatives.
• challenger: Rigorous pushback and assumption testing.
• minimalist: Extreme conciseness.
• prompt-engineer: Agent workflows and tool routing.
• executor: Direct task execution.
• completionist: End-to-end delivery with tests/docs.

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🛠️ Commands

Command	Description
dprofile guide	Explain when to use switch, init, and apply.
dprofile list	List all available profiles in the library.
dprofile init	Install project adapter files for one or more AI assistants.
dprofile apply	Generate project adapter files, optionally activating verified outputs.
dprofile switch	Switch an Agent-owned config directory to a specific profile.
dprofile show	Inspect current state or a specific profile.
dprofile diff	Compare two profiles side-by-side.
dprofile validate-target	Ensure a directory is safe for profile management.

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🤝 Development & Release

Testing

python3 -m unittest discover -s tests -v

Publishing a Release

1. Update version in pyproject.toml and agent_profile/__init__.py.
2. Create and push a tag:

   git tag v0.1.1
   git push origin main && git push origin v0.1.1
   

📄 License

MIT