samber/cc-skills

Description and use

**Summary**
samber/cc‑skills is an open‑source library of “agentic” skills that let you stitch together isolated prompts, tools, and memory modules into repeatable, multi‑agent workflows. With a lightweight Shell‑based SDK/CLI and clear API boundaries, it makes it easy to add tool‑use pipelines, coordinate agents, and standardize state handling across projects.

**Value**
The project turns ad‑hoc prompt engineering into modular, reusable components, enabling teams to build scalable AI orchestration patterns (e.g., multi‑agent task delegation, tool‑augmented reasoning, persistent memory) without reinventing glue code each time.

**Practical adoption path**

1. **Prototype** – Clone the repo, run the provided CLI to explore existing skill bundles and test them against your own LLM endpoints.
2. **Integrate** – Import the Shell SDK or call the exposed REST‑style APIs from your preferred language, wiring the skills into your existing orchestration layer (e.g., LangChain, CrewAI).
3. **Extend** – Add custom skills by following the documented template, then version them alongside your application code for CI/CD.

**Production readiness**
The library scores high on readiness: recent commits (last update 2026‑05‑13), 87 GitHub stars, active issue handling, and clear integration signals (API/SDK/CLI). While the license and security posture still need a formal review, the strong community activity and straightforward technology stack make it a solid candidate for a pilot in production environments.

Use in a workflow

samber/cc-skills helps turn isolated prompts and tools into repeatable agent workflows.

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Limitations and review notes

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.