Agent Skills 终极指南：快速入门、资源推荐、精选技能与实用工具 ｜The Ultimate Guide to Agent Skills: QuickStart, Resources, Features&Toolkit
4.8k
Stars
357
Forks
71
Open issues
1
Contributors
AI Analysis
This is a curated guide and resource hub for AI agent skills—a lightweight building pattern for enhancing AI capabilities in specialized domains. It serves developers and AI practitioners who want to discover, install, and share skills across Claude, ChatGPT, Cursor, and OpenClaw ecosystems. Best for teams building domain-specific AI agents; not suitable for general-purpose AI application development.
Inferred from signals mentioned in the README (tests, CI, type safety) — not a review of the actual code.
AI's overall editorial judgment — not an average of the bars above, can weigh other factors too.
Curated guide to AI agent skills: resources, tutorials, and tool ecosystem for Claude, ChatGPT, and open frameworks
awesome-agent-skills is a Chinese-language curation repository collecting tutorials, examples, and marketplace links for 'Skills' — a pattern for packaging domain knowledge and workflows for AI agents. Targets developers building with Claude, ChatGPT, and OpenClaw. Primary value is organizational rather than technical: it aggregates fragmented ecosystem resources (skill marketplaces, CLI tools, official documentation) and localized tutorials. Adoption appears concentrated in Chinese developer communities and Anthropic/OpenAI ecosystem participants.
Repository created December 2025 during rapid adoption of Claude Skills and agent skill frameworks. Emerges as the AI agent market adopted 'Skills' as a standard pattern (half-year iteration cycle mentioned in README). Positioned as curated alternative to broader 'awesome-agent-skills' repositories by offering selection principles and localized content.
Reached 4,795 stars in ~6 months with 39 stars gained in last 7 days as of July 2026. Growth appears tied to Claude Skills ecosystem maturation and increasing Chinese developer adoption. Last commit March 26, 2026 suggests plateau or transition to maintenance mode. Sister repository VoltAgent/awesome-agent-skills (27,135 stars) indicates larger market, but this fork differentiates via curation and Chinese localization rather than comprehensiveness.
Adoption not verified through deployment metrics, but circumstantial evidence suggests use among Claude Skills developers: repository linked from official documentation sources (README references Anthropic and Google official guides), used as discovery mechanism for skill installers (skillsmp, skills.sh, SkillHub CLI tools). Star count and fork velocity indicate awareness within agent builder communities, but no metrics on how many developers actually reference this repository during skill development workflows.
Not a software project; appears to be a documentation/curation repository. Based on README, structure consists of organized Markdown links, official documentation excerpts, marketplace recommendations (skillsmp.com, skills.sh, ClawHub, SkillHub), and CLI tool references. No code library or framework evident.
Not applicable; not a software library.
Last push March 26, 2026 (~3 months before analysis date). Apache 2.0 license stated in badge. No evidence of active issue triage or recent pull request merging in provided metadata. Appears to be in stable/maintenance mode rather than actively developed — common for curated collections once initial compilation complete. Not indicative of abandonment; aligned with nature of curation projects.
ADOPT IF: you are a Chinese-speaking developer building Claude Skills or exploring Agent Skills ecosystem, or you need localized tutorials and marketplace integration guides. AVOID IF: you need actual code libraries, framework implementations, or English-primary comprehensive resources — use larger awesome-agent-skills repos. MONITOR IF: you are tracking agent skill ecosystem maturity; this repo's maintenance pace reflects overall market consolidation around official platforms (anthropics, openai, google) and marketplace tools (skillsmp, SkillHub).
Independent dimensions
Mainstream potential
3/10
Technical importance
2/10
Adoption evidence
4/10
- Curation can become stale if maintainer attention lapses; last commit 3 months ago suggests potential drift in marketplace/tool links.
- Heavily dependent on third-party marketplaces (skillsmp, SkillHub, ClawHub) that may deprecate, rebrand, or change terms; no persistent version control of external resources.
- Chinese-language primary content limits reach; README translations exist but tutorials and key resources remain Mandarin-only.
- No evidence of community contribution process; appears to be single-maintainer curation rather than collaborative effort, increasing bus factor.
- Rapid churn in agent skill specifications and marketplace ecosystems (half-year iterations per README) means guidance outdates quickly if not actively maintained.
Likely to remain a valuable but niche resource for Chinese-speaking agent builders through 2027. Maintenance appears to shift to 'update on-demand' rather than active development. May be absorbed into official Anthropic/OpenAI documentation or marketplace discovery tools as the Skills pattern standardizes. Value proposition weakens if marketplace tools (skillsmp, SkillHub CLI) mature to include integrated tutorials and discovery.
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Languages
Information
- Website
- https://x.com/libukai
- Language
- Python
- Last updated
- 4mo ago
- Created
- 7mo ago
- Analyzed with
- anthropic/claude-haiku-4-5
Stars over time
Contributors over time
Top 100 contributors only — repos with more will plateau at 100.
Top contributors
Recent releases
No releases published yet.
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 Prat011/awesome-llm-skills
|
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Larger, likely English-primary, appears to prioritize breadth over curation. libukai version differentiates via Chinese localization, selection principles ('less but better'), and integration with Chinese marketplaces (SkillHub/Tencent).
Similar star range but TypeScript focus suggests different audience (Node.js/web agent builders). This repo is language-agnostic curation with Python-tagged metadata.
Actual toolkit/library for building agent skills, not curation. Serves different purpose: code reuse vs. resource discovery.
Broader LLM skills scope; this repo focuses on agent-specific Skills pattern, narrower but more targeted.
