Comparison
agentic-awesome-skills vs code-review-graph
Verdict
Pick agentic-awesome-skills if library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains; pick code-review-graph if code-review-graph is a Python-based tool that creates a local-first code intelligence graph to optimize AI coding tool interactions, reducing context and improving performance in code reviews and large-repo workflows.
Markdown twin · agentic-awesome-skills alternatives · code-review-graph alternatives
GraphCanon updated Sep 20, 2026
7views this month
vs
Trust & integrity
| Signal | agentic-awesome-skills | code-review-graph |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Very active (1d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agentic-awesome-skills
- Library of agentic skills for various AI agents
- code-review-graph
- Local-first code intelligence graph for AI coding tools
Stars
- agentic-awesome-skills
- 47k
- code-review-graph
- 32k
Forks
- agentic-awesome-skills
- 6.8k
- code-review-graph
- 2.9k
Open issues
- agentic-awesome-skills
- 1
- code-review-graph
- 135
Language
- agentic-awesome-skills
- Python
- code-review-graph
- Python
Adopt for
- agentic-awesome-skills
- Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains.
- code-review-graph
- code-review-graph is a Python-based tool that creates a local-first code intelligence graph to optimize AI coding tool interactions, reducing context and improving performance in code reviews and large-repo workflows.
Persona
- agentic-awesome-skills
- -
- code-review-graph
- -
Runtime
- agentic-awesome-skills
- -
- code-review-graph
- -
License
- agentic-awesome-skills
- MIT
- code-review-graph
- MIT License
Last pushed
- agentic-awesome-skills
- Sep 19, 2026
- code-review-graph
- Sep 17, 2026
Categories
- agentic-awesome-skills
- AI Agents, Developer Tools
- code-review-graph
- Developer Tools, Model Training
Trust and health
Days since push
- agentic-awesome-skills
- 0d
- code-review-graph
- 1d
Open issues (now)
- agentic-awesome-skills
- 1
- code-review-graph
- 135
Stars delta
- agentic-awesome-skills
- +1.5k (30d)
- code-review-graph
- +5.1k (30d)
Open issues delta
- agentic-awesome-skills
- -11 (30d)
- code-review-graph
- +13 (30d)
OSV dependency advisories
- agentic-awesome-skills
- No published findings from this source as of 2026-07-11
- code-review-graph
- No lockfile (source not queried)
Full report
- agentic-awesome-skills
- Trust report
- code-review-graph
- Trust report
Shared compatibility
- Cursor · agentic-awesome-skills: Works with Cursor · code-review-graph: Works with Cursor
Choose agentic-awesome-skills if…
- 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.
- Also covers AI Agents.
- - 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 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.
Choose code-review-graph if…
- Requirements: Requires Python 3.10+..
- Tags unique to code-review-graph: ai-coding, claude, code-review, graph.
- Also covers Model Training.
- When you need to optimize AI coding tool interactions in large codebases, as it builds a persistent map of your codebase to reduce context and improve performance.
When NOT to use code-review-graph
- If your project does not require integration with multiple AI coding tools, as the tool is designed to work with a variety of platforms and may introduce unnecessary complexity.
- When you are working with small codebases where the overhead of building and maintaining a code intelligence graph outweighs the benefits.
- If you are using a language other than Python, as the tool is specifically designed for Python projects and may not support other languages as effectively.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (sickn33/agentic-awesome-skills) · observed Sep 20, 2026
- GitHub forks (sickn33/agentic-awesome-skills) · observed Sep 20, 2026
- Last push (sickn33/agentic-awesome-skills) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tirth8205/code-review-graph) · observed Sep 20, 2026
- GitHub forks (tirth8205/code-review-graph) · observed Sep 20, 2026
- Last push (tirth8205/code-review-graph) · observed Sep 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: agentic-awesome-skills 47k · code-review-graph 32k (synced Sep 20, 2026).
Common questions
- What is the difference between agentic-awesome-skills and code-review-graph?
- agentic-awesome-skills: Library of agentic skills for various AI agents. code-review-graph: Local-first code intelligence graph for AI coding tools. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentic-awesome-skills over code-review-graph?
- Choose agentic-awesome-skills over code-review-graph when 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; Also covers AI Agents; - 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 choose code-review-graph over agentic-awesome-skills?
- Choose code-review-graph over agentic-awesome-skills when Requirements: Requires Python 3.10+.; Tags unique to code-review-graph: ai-coding, claude, code-review, graph; Also covers Model Training; When you need to optimize AI coding tool interactions in large codebases, as it builds a persistent map of your codebase to reduce context and improve performance.
- 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.
- When should I avoid code-review-graph?
- If your project does not require integration with multiple AI coding tools, as the tool is designed to work with a variety of platforms and may introduce unnecessary complexity. When you are working with small codebases where the overhead of building and maintaining a code intelligence graph outweighs the benefits. If you are using a language other than Python, as the tool is specifically designed for Python projects and may not support other languages as effectively.
- Is agentic-awesome-skills or code-review-graph more popular on GitHub?
- agentic-awesome-skills has more GitHub stars (46,613 vs 31,569). Stars measure visibility, not whether either tool fits your constraints.
- Are agentic-awesome-skills and code-review-graph open source?
- Yes - both are open-source projects on GitHub (agentic-awesome-skills: MIT, code-review-graph: MIT).
- Where can I find alternatives to agentic-awesome-skills or code-review-graph?
- GraphCanon lists graph-backed alternatives at agentic-awesome-skills alternatives and code-review-graph alternatives (agentic-awesome-skills markdown twin, code-review-graph markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, agentic-awesome-skills or code-review-graph?
- agentic-awesome-skills: Very active. code-review-graph: 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 agentic-awesome-skills and code-review-graph?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentic-awesome-skills trust report; code-review-graph trust report.