--- title: "Instrukt vs agentic-awesome-skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/blob42-instrukt-vs-sickn33-antigravity-awesome-skills" tools: ["blob42-instrukt", "sickn33-antigravity-awesome-skills"] --- # Instrukt vs agentic-awesome-skills *GraphCanon updated Aug 19, 2026* ## Verdict Pick Instrukt if instrukt is an integrated AI environment for terminal-based development, using Python for building and testing agents; pick agentic-awesome-skills if library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. [Instrukt](https://blob42.github.io/Instrukt/) reports 330 GitHub stars, 28 forks, and 6 open issues, last pushed May 14, 2025. [agentic-awesome-skills](https://sickn33.github.io/agentic-awesome-skills/) has 45k stars, 6.6k forks, and 12 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [Instrukt's repository](https://github.com/blob42/Instrukt) and [agentic-awesome-skills's repository](https://github.com/sickn33/agentic-awesome-skills). | | [Instrukt](/tools/blob42-instrukt.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Tagline | Integrated AI environment in the terminal for building, testing, and instructing agents. | Library of agentic skills for various AI agents | | Stars | 330 | 45,139 | | Forks | 28 | 6,610 | | Open issues | 6 | 12 | | Language | Python | Python | | Adopt for | Instrukt is an integrated AI environment for terminal-based development, using Python for building and testing agents. | Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Instrukt](/tools/blob42-instrukt.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 458d | 0d | | Open issues (now) | 6 | 12 | | Stars delta | +2 (30d) | +1.5k (30d) | | Open issues delta | 0 (30d) | +11 (30d) | | Full report | [trust report](/tools/blob42-instrukt/trust.md) | [trust report](/tools/sickn33-antigravity-awesome-skills/trust.md) | ## Decision facts: Instrukt - **Adopt for:** Instrukt is an integrated AI environment for terminal-based development, using Python for building and testing agents. ## Decision facts: agentic-awesome-skills - **Pricing:** freemium - The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills. - **Requirements:** Min 2 GB RAM - **Adopt for:** Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. ## Choose when ### Choose Instrukt if… - License: Instrukt is AGPL-3.0, agentic-awesome-skills is MIT. - Tags unique to Instrukt: agent-executor, agents, ai, containers. - When you prefer a terminal interface for developing AI agents and are comfortable using Python. ### Choose agentic-awesome-skills if… - License: agentic-awesome-skills is MIT, Instrukt is AGPL-3.0. - Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.. - Requirements: Min 2 GB RAM. - Tags unique to agentic-awesome-skills: agent-skills, ai-agents, developer-tools. - - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks. ## When NOT to use Instrukt - When you prioritize graphical user interfaces over command-line tools. - If your project requires proprietary or closed-source tooling, as Instrukt's AGPL license mandates sharing modifications publicly. - For teams that need real-time visual feedback and monitoring features typically offered by more GUI-centric IDEs. ## When NOT to use agentic-awesome-skills - - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library. ## Common questions ### What is the difference between Instrukt and agentic-awesome-skills? Instrukt: Integrated AI environment in the terminal for building, testing, and instructing agents.. agentic-awesome-skills: Library of agentic skills for various AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose Instrukt over agentic-awesome-skills? Choose Instrukt over agentic-awesome-skills when License: Instrukt is AGPL-3.0, agentic-awesome-skills is MIT; Tags unique to Instrukt: agent-executor, agents, ai, containers; When you prefer a terminal interface for developing AI agents and are comfortable using Python. ### When should I choose agentic-awesome-skills over Instrukt? Choose agentic-awesome-skills over Instrukt when License: agentic-awesome-skills is MIT, Instrukt is AGPL-3.0; Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.; Requirements: Min 2 GB RAM; Tags unique to agentic-awesome-skills: agent-skills, ai-agents, developer-tools; - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks. ### When should I avoid Instrukt? When you prioritize graphical user interfaces over command-line tools. If your project requires proprietary or closed-source tooling, as Instrukt's AGPL license mandates sharing modifications publicly. For teams that need real-time visual feedback and monitoring features typically offered by more GUI-centric IDEs. ### When should I avoid agentic-awesome-skills? - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library. ### Is Instrukt or agentic-awesome-skills more popular on GitHub? agentic-awesome-skills has more GitHub stars (45,139 vs 330). Stars measure visibility, not whether either tool fits your constraints. ### Are Instrukt and agentic-awesome-skills open source? Yes - both are open-source projects on GitHub (Instrukt: AGPL-3.0, agentic-awesome-skills: MIT). ### Where can I find alternatives to Instrukt or agentic-awesome-skills? GraphCanon lists graph-backed alternatives at [Instrukt alternatives](/tools/blob42-instrukt/alternatives) and [agentic-awesome-skills alternatives](/tools/sickn33-antigravity-awesome-skills/alternatives) ([Instrukt markdown twin](/tools/blob42-instrukt/alternatives.md), [agentic-awesome-skills markdown twin](/tools/sickn33-antigravity-awesome-skills/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/blob42-instrukt-vs-sickn33-antigravity-awesome-skills.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Instrukt or agentic-awesome-skills? Instrukt: Dormant. agentic-awesome-skills: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Instrukt and agentic-awesome-skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Instrukt trust report](/tools/blob42-instrukt/trust); [agentic-awesome-skills trust report](/tools/sickn33-antigravity-awesome-skills/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=blob42-instrukt`](/api/graphcanon/graph?tool=blob42-instrukt) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_