FreePublished on GitHub

atomic-agents

Use Atomic Agents to build schema-driven agents, integrate tools and MCP connectors, adapt example applications, and maintain the monorepo safely.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill

See how to install

Files included (31)

SKILL.md2.8 KB
references/package-summary.md2.6 KB
references/repo-provenance.md1017 B
references/repo-routing-metadata.json495 B
references/troubleshooting.md2.3 KB
scripts/check_atomic_agents_env.py1.7 KB
sub-skills/agent-core/references/api-reference.md4.9 KB
sub-skills/agent-core/references/troubleshooting.md2.3 KB
sub-skills/agent-core/references/workflows.md3.1 KB
sub-skills/agent-core/scripts/agent_core_smoke.py1.8 KB
sub-skills/agent-core/SKILL.md2.0 KB
sub-skills/example-workflows/references/dependency-matrix.md1.5 KB
sub-skills/example-workflows/references/example-index.md3.9 KB
sub-skills/example-workflows/references/troubleshooting.md2.0 KB
sub-skills/example-workflows/references/workflows.md2.0 KB
sub-skills/example-workflows/SKILL.md1.6 KB
sub-skills/mcp-integrations/references/api-reference.md2.9 KB
sub-skills/mcp-integrations/references/troubleshooting.md1.6 KB
sub-skills/mcp-integrations/references/workflows.md1.8 KB
sub-skills/mcp-integrations/scripts/check_mcp_imports.py907 B
sub-skills/mcp-integrations/SKILL.md1.8 KB
sub-skills/repo-development/references/development.md1.3 KB
sub-skills/repo-development/references/docs-generation.md1.6 KB
sub-skills/repo-development/references/troubleshooting.md1.6 KB
sub-skills/repo-development/scripts/check_repo_layout.py1.1 KB
sub-skills/repo-development/SKILL.md1.6 KB
sub-skills/tooling-and-forge/references/api-reference.md2.5 KB
sub-skills/tooling-and-forge/references/cli-reference.md1.3 KB
sub-skills/tooling-and-forge/references/forge-catalog.md2.2 KB
sub-skills/tooling-and-forge/references/troubleshooting.md1.7 KB
sub-skills/tooling-and-forge/SKILL.md2.0 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Atomic Agents

Use this skill when a task mentions Atomic Agents, atomic-agents, atomic-assembler, Atomic Forge, MCP connectors, the example projects, or editing this repository.

Start here

Read references/package-summary.md for the monorepo map, package names, and core terminology.
Read references/repo-provenance.md before deciding whether this skill matches the current checkout or needs refresh.
Read references/troubleshooting.md for cross-cutting install, import, CLI, and version-mismatch issues.
Use the route map below. Each subskill owns deeper references and any helper scripts.

Install and smoke check

Public use: pip install atomic-agents
Checkout work: uv sync or pip install -e .
Smoke check: python -c "import atomic_agents, atomic_assembler; print(atomic_agents.__version__)"
CLI check: atomic --help

Route map

User task	Use subskill	Why
Build, run, stream, or debug a typed `AtomicAgent` with schemas, history, prompts, hooks, token counting, or multimodal content	`sub-skills/agent-core/SKILL.md`	Owns the core agent API, memory, context providers, hooks, and the fundamental schema contract.
Define tools/resources/prompts, reason about Atomic Forge tool families, use the `atomic` CLI, or adapt tool-selection patterns	`sub-skills/tooling-and-forge/SKILL.md`	Owns `BaseTool`, `BaseResource`, `BasePrompt`, Atomic Forge, Atomic Assembler, and tool orchestration surfaces.
Connect to MCP servers or troubleshoot dynamic MCP-generated tools, resources, and prompts	`sub-skills/mcp-integrations/SKILL.md`	Owns the MCP transport, schema transformation, and generated tool/resource/prompt factory surface.
Adapt a concrete example project such as quickstart, multimodal, RAG, orchestration, memory, hooks, YouTube, DSPy, FastAPI, progressive disclosure, or `mcp-agent`	`sub-skills/example-workflows/SKILL.md`	Owns the example catalog, dependencies, and recipe-level guidance.
Modify this checkout, run focused tests, update docs, or reason about release/CI behavior	`sub-skills/repo-development/SKILL.md`	Owns monorepo development commands, packaging conventions, docs checks, and maintainer workflow guidance.

Shared references and helpers

references/repo-routing-metadata.json records the router metadata consumed during import into the repo-skills router.
scripts/check_atomic_agents_env.py performs a safe import/version/CLI smoke check.
Read each subskill's references/ and scripts/ for workflow-specific guidance.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

More skills from this repository

3d-resnets-pytorch

Free

Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill338Updated Sep 3, 2026

3ddfa

Free

Guide 3DDFA Python inference, geometry rendering, training/evaluation, and optional C++ ONNX workflows for 3D dense face alignment.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill338Updated Sep 3, 2026

3ddfa-v2

Free

Routes 3DDFA_V2 face-alignment setup, still-image demos, video tracking, and ONNX benchmarking workflows.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill338Updated Sep 3, 2026

ab3dmot

Free

Operate AB3DMOT 3D multi-object tracking workflows for KITTI and nuScenes data, tracking, evaluation, and visualization.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill338Updated Sep 3, 2026

Use Hugging Face Accelerate for PyTorch training-loop migration, distributed launch/configuration, DeepSpeed/FSDP/TPU backend setup, big-model inference/offload, checkpointing, tracking, and troubleshooting.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill338Updated Sep 3, 2026

acme

Free

Route Acme reinforcement-learning framework tasks across core loops, replay/data, JAX agents, and TensorFlow/Sonnet agents.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill338Updated Sep 3, 2026

See all skills by VectorSpaceLab

Report a problem with this skill

Install

Install with a command

npx skills add https://github.com/VectorSpaceLab/AREX-Skill --skill atomic-agents

Paste it into your terminal and run it (requires Node.js). You can choose which agents to install it for, such as Claude Code or Codex.

Ask your agent

Please install the following Agent Skill.
https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/atomic-agents

First review SKILL.md and the bundled files and confirm there is nothing suspicious (such as sending data externally or reading credentials). Then place it in ~/.claude/skills/atomic-agents/ for Claude Code, or ~/.agents/skills/atomic-agents/ for Codex.

Send this text to Claude Code or Codex as is. It checks the contents before installing.

View source on GitHub

Repository: VectorSpaceLab/AREX-Skill
Stars: 338
Forks: 26
Category: Development
License: Apache-2.0
Original language: English
Last updated: Sep 3, 2026

A skill is a set of instructions and scripts for an agent. cccskills does not guarantee that skills are safe. Review the contents before you install.

Files included (31)

SKILL.md (original)

Atomic Agents

Start here

Install and smoke check

Route map

Shared references and helpers

Reviews

Comments

More skills from this repository

3d-resnets-pytorch

3ddfa

3ddfa-v2

ab3dmot

accelerate

acme