Home/Compare/agent-skills vs awesome

Comparison

agent-skills vs awesome

Verdict

Pick agent-skills when license: agent-skills is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, agent-skills is MIT.

Markdown twin · agent-skills alternatives · awesome alternatives

GraphCanon updated today

agent-skills logo

agent-skills

redis/agent-skills

85pushed Jul 9, 2026
vs
awesome logo

awesome

sindresorhus/awesome

484kpushed Jun 30, 2026

Trust & integrity

Signalagent-skillsawesome
Maintenance
Very active (2d since push)
As of today · github_public_v1
Active (11d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No criticals
As of today · osv@v1
No lockfile
As of today · none

Tagline

agent-skills
Redis' official collection of agent skills
awesome
😎 Curated list of awesome topics including hardware resources

Stars

agent-skills
85
awesome
484k

Forks

agent-skills
21
awesome
36k

Open issues

agent-skills
4
awesome
92

Language

agent-skills
TypeScript
awesome
-

Adopt for

agent-skills
-
awesome
-

Persona

agent-skills
-
awesome
-

Runtime

agent-skills
-
awesome
-

License

agent-skills
MIT
awesome
CC0-1.0

Last pushed

agent-skills
Jul 9, 2026
awesome
Jun 30, 2026

Categories

agent-skills
Vector Databases, LLM Frameworks, AI Agents
awesome
LLM Frameworks

Trust and health

Maintenance

agent-skills
Very active (96%)
awesome
Active (82%)

Days since push

agent-skills
2d
awesome
11d

Open issues (now)

agent-skills
4
awesome
92

Owner type

agent-skills
Organization
awesome
User

Security scan

agent-skills
No criticals
awesome
No lockfile

Full report

agent-skills
Trust report

Choose agent-skills if…

  • License: agent-skills is MIT, awesome is CC0-1.0.
  • Tags unique to agent-skills: agent-skills, redis, typescript.
  • Also covers Vector Databases, AI Agents.

When NOT to use agent-skills

  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.

Choose awesome if…

  • License: awesome is CC0-1.0, agent-skills is MIT.
  • Tags unique to awesome: resources, awesome-list.
  • More GitHub stars (484k vs 85) - visibility, not fit.

When NOT to use awesome

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agent-skills 85 · awesome 484k (synced Jul 11, 2026).

Common questions

What is the difference between agent-skills and awesome?
agent-skills: Redis' official collection of agent skills. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
When should I choose agent-skills over awesome?
Choose agent-skills over awesome when License: agent-skills is MIT, awesome is CC0-1.0; Tags unique to agent-skills: agent-skills, redis, typescript; Also covers Vector Databases, AI Agents.
When should I choose awesome over agent-skills?
Choose awesome over agent-skills when License: awesome is CC0-1.0, agent-skills is MIT; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 85) - visibility, not fit.
When should I avoid agent-skills?
Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
When should I avoid awesome?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is agent-skills or awesome more popular on GitHub?
awesome has more GitHub stars (484,026 vs 85). Stars measure visibility, not whether either tool fits your constraints.
Are agent-skills and awesome open source?
Yes - both are open-source projects on GitHub (agent-skills: MIT, awesome: CC0-1.0).
Where can I find alternatives to agent-skills or awesome?
GraphCanon lists graph-backed alternatives at agent-skills alternatives and awesome alternatives (agent-skills markdown twin, awesome 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, agent-skills or awesome?
agent-skills: Very active. awesome: 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 agent-skills and awesome?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-skills trust report; awesome trust report.