Comparison
coca vs agentic-awesome-skills
Verdict
Pick coca if coca is a comprehensive toolbox for analyzing and refactoring legacy systems using features such as call graph visualization, concept analysis, and design pattern suggestions; pick agentic-awesome-skills if library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains.
Markdown twin · coca alternatives · agentic-awesome-skills alternatives
GraphCanon updated Aug 19, 2026
19views this month
vs
Trust & integrity
| Signal | coca | agentic-awesome-skills |
|---|---|---|
| Maintenance | Slowing (217d since push) As of Aug 12, 2026 · github_public_v1 | Very active (0d since push) As of Aug 19, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 12, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 19, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No published findings from this source as of 2026-07-11 As of Jul 11, 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
- coca
- Toolbox for legacy system refactoring and analysis
- agentic-awesome-skills
- Library of agentic skills for various AI agents
Stars
- coca
- 990
- agentic-awesome-skills
- 45k
Forks
- coca
- 118
- agentic-awesome-skills
- 6.6k
Open issues
- coca
- 0
- agentic-awesome-skills
- 12
Language
- coca
- Go
- agentic-awesome-skills
- Python
Adopt for
- coca
- Coca is a comprehensive toolbox for analyzing and refactoring legacy systems using features such as call graph visualization, concept analysis, and design pattern suggestions.
- agentic-awesome-skills
- Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains.
Persona
- coca
- -
- agentic-awesome-skills
- -
Runtime
- coca
- -
- agentic-awesome-skills
- -
License
- coca
- The Mozilla Public License version 2.0 applies to Coca, which offers a balance between open source freedom and ensuring contributions back to the community.
- agentic-awesome-skills
- MIT
Last pushed
- coca
- Jan 6, 2026
- agentic-awesome-skills
- Aug 19, 2026
Categories
- coca
- Developer Tools
- agentic-awesome-skills
- AI Agents, Developer Tools
Trust and health
Maintenance
- coca
- Slowing (36%)
- agentic-awesome-skills
- Very active (96%)
Days since push
- coca
- 217d
- agentic-awesome-skills
- 0d
Open issues (now)
- coca
- 0
- agentic-awesome-skills
- 12
Stars delta
- coca
- Unknown
- agentic-awesome-skills
- +1.5k (30d)
Open issues delta
- coca
- Unknown
- agentic-awesome-skills
- +11 (30d)
OSV dependency advisories
- coca
- No lockfile (source not queried)
- agentic-awesome-skills
- No published findings from this source as of 2026-07-11
Full report
- coca
- Trust report
- agentic-awesome-skills
- Trust report
Choose coca if…
- coca is primarily Go; agentic-awesome-skills is Python.
- License: coca is MPL-2.0, agentic-awesome-skills is MIT.
- Pricing: Coca is freely available under an open-source license (MPL-2.0). There are no paid versions or premium features listed..
- Tags unique to coca: ai, architecture, automation, git.
- Use Coca when you are working with complex legacy Go applications that need detailed analysis of their architecture to facilitate informed refactoring decisions
When NOT to use coca
- Avoid using Coca for projects that do not involve Go language as it is specifically designed with this in mind
- Do not use Coca if your primary concern is runtime performance analysis; its strengths lie in structural and architectural code analysis rather than performance profiling of running systems
Choose agentic-awesome-skills if…
- agentic-awesome-skills is primarily Python; coca is Go.
- License: agentic-awesome-skills is MIT, coca is MPL-2.0.
- 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.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (phodal/coca) · observed Aug 12, 2026
- GitHub forks (phodal/coca) · observed Aug 12, 2026
- Last push (phodal/coca) · observed Jan 6, 2026
- License file (MPL-2.0) · observed Aug 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (sickn33/agentic-awesome-skills) · observed Aug 19, 2026
- GitHub forks (sickn33/agentic-awesome-skills) · observed Aug 19, 2026
- Last push (sickn33/agentic-awesome-skills) · observed Aug 19, 2026
- License file (MIT) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: coca 990 · agentic-awesome-skills 45k (synced Aug 12, 2026).
Common questions
- What is the difference between coca and agentic-awesome-skills?
- coca: Toolbox for legacy system refactoring and analysis. 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 coca over agentic-awesome-skills?
- Choose coca over agentic-awesome-skills when coca is primarily Go; agentic-awesome-skills is Python; License: coca is MPL-2.0, agentic-awesome-skills is MIT; Pricing: Coca is freely available under an open-source license (MPL-2.0). There are no paid versions or premium features listed.; Tags unique to coca: ai, architecture, automation, git; Use Coca when you are working with complex legacy Go applications that need detailed analysis of their architecture to facilitate informed refactoring decisions.
- When should I choose agentic-awesome-skills over coca?
- Choose agentic-awesome-skills over coca when agentic-awesome-skills is primarily Python; coca is Go; License: agentic-awesome-skills is MIT, coca is MPL-2.0; 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; 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 avoid coca?
- Avoid using Coca for projects that do not involve Go language as it is specifically designed with this in mind Do not use Coca if your primary concern is runtime performance analysis; its strengths lie in structural and architectural code analysis rather than performance profiling of running systems
- 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 coca or agentic-awesome-skills more popular on GitHub?
- agentic-awesome-skills has more GitHub stars (45,139 vs 990). Stars measure visibility, not whether either tool fits your constraints.
- Are coca and agentic-awesome-skills open source?
- Yes - both are open-source projects on GitHub (coca: MPL-2.0, agentic-awesome-skills: MIT).
- Where can I find alternatives to coca or agentic-awesome-skills?
- GraphCanon lists graph-backed alternatives at coca alternatives and agentic-awesome-skills alternatives (coca markdown twin, agentic-awesome-skills 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, coca or agentic-awesome-skills?
- coca: Slowing. 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 coca and agentic-awesome-skills?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: coca trust report; agentic-awesome-skills trust report.