Unverified50% confidenceFactExact time
A well-engineered skill follows a four-part structure: skill.md (YAML front matter and routing instructions), scripts (deterministic Python/Node/bash scripts), references (deep documentation loaded on demand), and assets (templates and schemas).
1
Sources
50%
Confidence
Long-term
Relevance
10/24/2026
First Seen
Sources
Stop Stuffing 20,000 Lines into CLAUDE.md: 10 Skills That Slash Context Costs
bilibili混子州10/24/2026
Related Entities
Related Claims
UnverifiedThe key skills corresponding to each stage are: Prompt Engineering for the Prompt stage, RAG/vector retrieval for the Context stage, tool integration/MCP protocol for the Harness stage, and Loop Engineering for the Loop stage.77% similarUnverifiedAnthropic's progressive disclosure mechanism works as follows: at startup, only the name and description of each skill (YAML front matter) are read; when the prompt matches a skill, the full skill MD file is read; larger reference files and scripts are loaded on demand.75% similarUnverifiedSkill 在提示词基础上引入了模块化封装、资源挂载和工具集成,可理解为工程化的提示词75% similarUnverifiedThe ideal skill combination is to use Python for data pipelines, model fine-tuning, and backend AI logic, and TypeScript for building frontend interfaces and the application layer74% similarVerifiedA Skill is a modular encapsulation that grants an agent specialized capabilities, containing complete workflows, judgment logic, and contextual knowledge, and can combine multiple tools to accomplish complex goals.74% similar
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