dot-agent 🤖

A curated collection of agent skills for coding agents designed to enhance the workflows of Software Engineers (and, let's be honest, me primarily).

Skills provide reusable, domain-specific knowledge and workflows that agents can use when relevant. Works with Cursor, Claude Code, Codex, OpenCode, Antigravity, GitHub Copilot, Amp, Roo Code, and other agent harnesses that support the Agent Skills standard.

What are Skills?

Skills are modular, self-contained packages that extend agent capabilities with:

Specialized workflows for specific domains
Tool integrations and instructions
Domain expertise and best practices
Bundled resources (scripts, references, assets)

Skills use progressive disclosure - keeping SKILL.md files under 200 lines with detailed content in references/ directories loaded on-demand.

Getting Started 🚀

Install All Skills (Recommended)

Install all skills globally (to ~/.cursor/skills/, ~/.claude/skills/, etc. depending on agent):

npx add-skill siviter-xyz/dot-agent --yes --global --agent cursor

Install Specific Skills

Install individual skills by name:

# Install a single skill
npx add-skill siviter-xyz/dot-agent --skill typescript --yes --global

# Install multiple specific skills
npx add-skill siviter-xyz/dot-agent --skill typescript --skill python --skill astroflare --yes --global

List Available Skills

See all available skills without installing:

npx add-skill siviter-xyz/dot-agent --list

Install to Specific Agents

Target specific agent harnesses:

# Install to Cursor only
npx add-skill siviter-xyz/dot-agent -a cursor --yes --global

# Install to multiple agents
npx add-skill siviter-xyz/dot-agent -a cursor -a claude-code --yes --global

Project-Level Installation

Install skills to your project (committed in repo):

# Install all skills to project
npx add-skill siviter-xyz/dot-agent --yes

# Install specific skill to project
npx add-skill siviter-xyz/dot-agent --skill psi --yes

For more options, see the add-skill documentation.

Sync from Local Repository

When working on dot-agent locally, sync all skills to your local agent installation:

# Sync all skills from local dot-agent repo to Cursor
npx add-skill $(pwd) --yes --global --agent cursor

# Sync to multiple agents
npx add-skill $(pwd) --yes --global --agent cursor --agent claude-code

# Sync specific skills only
npx add-skill $(pwd) --skill python --skill typescript --yes --global --agent cursor

This is useful when developing or modifying skills locally before publishing.

Available Skills

See skills/README.md for a complete list of available skills.

Project-Specific Configuration

For project-specific rules and commands, commit them in your repository:

AGENTS.md: Project root or subdirectories for inline rules (works across agent harnesses, PREFERRRED)
Rules: .cursor/rules/, .claude/rules/, .codex/rules/, etc. in your repo
Commands: .cursor/commands/, .claude/commands/, .codex/commands/, etc. in your repo

Keep project-specific content small and focused. Use skills for reusable knowledge.

Progressive Disclosure

All skills follow the progressive disclosure principle:

SKILL.md < 200 lines - Core principles and when to use
references/ - Detailed documentation loaded on-demand
scripts/ - Executable code for deterministic tasks
assets/ - Files used in output (templates, etc.)

This keeps context windows clean while providing access to specialized capabilities when needed.

Contributing

Skills are designed to be:

Focused - Each skill covers a specific domain
Reusable - Work across projects and teams
Maintainable - Clear structure with progressive disclosure

When contributing:

Keep SKILL.md under 200 lines
Use references/ for detailed content
Follow existing skill structure and the Agent Skills specification
Prefer agent-harness agnostic skills; if a skill is environment-specific, document this clearly in its frontmatter and/or README
For scripts inside skills:
- Prefer uv scripts (PEP 723 # /// script metadata with #!/usr/bin/env -S uv run --script) or plain Bash for simple glue
- Aim for cross-platform behavior (Linux, macOS; avoid hard-coding shell- or OS-specific paths)
- Recommend installing uv locally and running scripts via uv run where appropriate
Test installation and usage

dot-agent

💡 摘要

🎯 适合人群