runkids/skillshare — 📚 Sync skills across all AI CLI tools with one command and simplify team sharing.

Description and use

**Brief Summary (2‑3 sentences)**
runkids/skillshare is an open‑source Go toolkit that lets you synchronize AI “skills”—prompt templates, model wrappers, and execution pipelines—across multiple AI‑CLI tools (Codex, Claude Code, OpenClaw, etc.) with a single command. By abstracting the underlying model APIs, it lets teams prototype, share, and reuse AI capabilities without building a custom stack from scratch. With over 1,700 stars, active recent commits, and broad ecosystem support, it’s a production‑ready candidate for rapid AI feature development.

**Value**

• **One‑stop skill management**: Define a skill once and propagate it to any supported CLI, eliminating duplication and version drift.
• **Accelerated prototyping**: Teams can spin up RAG pipelines, agent workflows, or model evaluations instantly, focusing on product logic rather than integration plumbing.
• **Cross‑tool consistency**: Guarantees that the same prompt, parameters, and metadata are used whether developers are working with Codex, Claude, OpenClaw, or future extensions.

**Practical Adoption Path**

1. **Clone & install** the Go binary or use the provided Docker image.
2. **Create a skill definition** (JSON/YAML) that includes prompts, model selection, and any SDK/CLI flags.
3. **Run skillshare sync** pointing at your local or cloud‑hosted AI CLI installations; the tool updates each tool’s configuration automatically.
4. **Integrate into CI/CD** by adding the sync step to your pipeline, ensuring every build uses the latest shared skills.
5. **Extend** by adding new tool adapters (the project already exposes a clear API for custom CLI integrations).

**Production Readiness**

• **Activity & Adoption**: Recent commits (as of 2026‑05‑10), 1,762 stars, 102 forks, and a growing list of 20 topics indicate an engaged community.
• **Stability**: Core functionality is written in Go, a compiled language with strong concurrency and binary distribution, reducing runtime dependencies.
• **Ecosystem Fit**: Supports the major AI‑CLI tools in use today and provides a clear extension point for future models.
• **Risks to Address**: Verify the open‑source license compatibility, run a security audit of the Go dependencies, and confirm that maintainers are responsive to issues before a full production rollout.

Overall, runkids/skillshare offers a low‑friction way to embed AI capabilities across teams and is mature enough for a serious pilot or even production use after standard OSS due‑diligence.

Problem

runkids/skillshare helps add AI capability without starting from a blank model stack.

Outcome

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

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

📚 Sync skills across all AI CLI tools with one command and simplify team sharing. Supporting Codex, Claude Code, OpenClaw & more

Source