Comparison
cangjie-skill vs awesome
Verdict
Pick cangjie-skill when license: cangjie-skill is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, cangjie-skill is MIT.
Markdown twin · cangjie-skill alternatives · awesome alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | cangjie-skill | awesome |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Active (11d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- cangjie-skill
- 把书、长视频、播客等高价值内容蒸馏成可执行的 Agent Skills
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- cangjie-skill
- 2.4k
- awesome
- 484k
Forks
- cangjie-skill
- 377
- awesome
- 36k
Open issues
- cangjie-skill
- 7
- awesome
- 92
Language
- cangjie-skill
- Python
- awesome
- -
Adopt for
- cangjie-skill
- -
- awesome
- -
Persona
- cangjie-skill
- -
- awesome
- -
Runtime
- cangjie-skill
- -
- awesome
- -
License
- cangjie-skill
- MIT
- awesome
- CC0-1.0
Last pushed
- cangjie-skill
- Jul 11, 2026
- awesome
- Jun 30, 2026
Categories
- cangjie-skill
- AI Agents, LLM Frameworks
- awesome
- LLM Frameworks
Trust and health
Maintenance
- cangjie-skill
- Very active (96%)
- awesome
- Active (82%)
Days since push
- cangjie-skill
- 0d
- awesome
- 11d
Open issues (now)
- cangjie-skill
- 7
- awesome
- 92
Full report
- cangjie-skill
- Trust report
- awesome
- Trust report
Choose cangjie-skill if…
- License: cangjie-skill is MIT, awesome is CC0-1.0.
- Tags unique to cangjie-skill: templates, agent-workflows, book-to-skill, ai skills.
- Also covers AI Agents.
When NOT to use cangjie-skill
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose awesome if…
- License: awesome is CC0-1.0, cangjie-skill is MIT.
- Tags unique to awesome: resources, awesome-list.
- More GitHub stars (484k vs 2.4k) - 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 (kangarooking/cangjie-skill) · observed Jul 11, 2026
- GitHub forks (kangarooking/cangjie-skill) · observed Jul 11, 2026
- Last push (kangarooking/cangjie-skill) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sindresorhus/awesome) · observed Jul 11, 2026
- GitHub forks (sindresorhus/awesome) · observed Jul 11, 2026
- Last push (sindresorhus/awesome) · observed Jun 30, 2026
- License file (CC0-1.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: cangjie-skill 2.4k · awesome 484k (synced Jul 11, 2026).
Common questions
- What is the difference between cangjie-skill and awesome?
- cangjie-skill: 把书、长视频、播客等高价值内容蒸馏成可执行的 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 cangjie-skill over awesome?
- Choose cangjie-skill over awesome when License: cangjie-skill is MIT, awesome is CC0-1.0; Tags unique to cangjie-skill: templates, agent-workflows, book-to-skill, ai skills; Also covers AI Agents.
- When should I choose awesome over cangjie-skill?
- Choose awesome over cangjie-skill when License: awesome is CC0-1.0, cangjie-skill is MIT; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 2.4k) - visibility, not fit.
- When should I avoid cangjie-skill?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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 cangjie-skill or awesome more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 2,381). Stars measure visibility, not whether either tool fits your constraints.
- Are cangjie-skill and awesome open source?
- Yes - both are open-source projects on GitHub (cangjie-skill: MIT, awesome: CC0-1.0).
- Where can I find alternatives to cangjie-skill or awesome?
- GraphCanon lists graph-backed alternatives at cangjie-skill alternatives and awesome alternatives (cangjie-skill 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, cangjie-skill or awesome?
- cangjie-skill: 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 cangjie-skill and awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: cangjie-skill trust report; awesome trust report.