Give your agent
real Skills.
On any model.

Bring Anthropic-style Agent Skills to any LLM. Bluebag runs them in isolated sandboxes with bash, code execution, and a real file system, and drops into your agent in a few lines of code.
OpenAI
Anthropic
Gemini
Llama
DeepSeek
Mistral
Grok
SKILLS > PROMPTS

Built to run Skills

5 Built-in tools
Any LLM provider
Anthropic Skills spec
EXECUTION_ACTIVE • ISOLATED
ISOLATED SANDBOXTASKRESULTOPENAIANTHROPIC

A sandbox for every run

Each session gets an isolated sandbox where your agent can run bash, Python, JavaScript, and TypeScript, use built-in tools, read and write files, and complete real work, not just generate text
ISOLATED SANDBOXES
BASH · CODE · FILES
5 BUILT-IN TOOLS
Product Surface

Everything you need
to ship Agent Skills

Sandboxes
SDKs
CLI
01
Command Center
See your Skills, runs, tool usage, and outcomes in one place, so nothing your agent does is a black box
12
Skills
1.2k
Runs
99.1%
Success
email-generation
6 files
99.8%
health-data-analysis
9 files
98.2%
compliance-check
4 files
100%
02
Playground
Test Skills before they reach production, compare the raw model against the Skill-enhanced model, and replay sessions to see exactly what happened
Replay failed auth session and inspect behavior
RUN
-Sandbox initialized (23ms)
-Loaded the Skill into the sandbox
-Re-running with the Skill
-Comparing base vs Skill output
-Detected 2 differences
-Trace saved for review
SESSION REPLAYABLE · TRACE SAVED
03
CLI + Sync
Push and pull Skills straight from your terminal. Keep local files and your workspace in sync, and manage Skills like code
$
bluebag push
→ Detecting changes...
→ auth-review (modified)
→ pdf-processing (updated)
→ 3 skills (synced)
✓ Pushed 3 skills to your workspace
Imported
from github.com
1d ago
Pulled
latest Skills
3d ago
Created
pdf-processing
4d ago
04
SDKs for your stack
Works with your stack. Add Skills to the agent you already have in a few lines of code, instead of managing sandbox infrastructure yourself
Source
github.com/acme/data-analysis
skills.sh/email-generation
↓ Import to workspace
Integrate
// add Skills to your agent
import { bluebag } from '@bluebag/ai-sdk'

const tools = bluebag.enhance(agent)
SDK Integration

SDKs for your existing stack

Add Bluebag to the agent you already have. Keep your framework and your tools, and give it Skills that run in a real sandbox.
api/chat/route.ts
import { Bluebag } from "@bluebag/ai-sdk";
const bluebag = new Bluebag({ apiKey: process.env.BLUEBAG_API_KEY });
const config = await bluebag.enhance({ model, messages });
return streamText(config);
Add Bluebag in a few lines. Your agent keeps its stack and gains Skills that run in a real sandbox.
AGENT SKILLS • ANY MODEL

Give your agent real Skills

Anthropic-style Agent Skills, isolated sandboxes,
and any model, all in a few lines of code
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Skills runtime active