Provides AI application development, MCP server engineering, prompt engineering, and agent framework integration capabilities. Use when you need to build or optimize large-model-based features, workflows, or platform integrations.
Skill Index
The following index is node scripts/update-skill-index.js automatically generated, used to let Claude continue routing to the most relevant sub-skills after the top-level expert is triggered.
Claude Usage Instructions
- First, semantically match the user's current task with each sub-skill's
触发语义, do not just look at the directory name. - Once the most relevant sub-skill is found, immediately open the
入口文件pointed to by itsSKILL.md, and use it as the entry point for the next layer. - After entering the sub-skill, then load the
references/、scripts/、assets/in the same directory as needed according to that sub-skill's own instructions; do not expand large sections of detail in advance at the top-level expert. - If multiple sub-skills are relevant, first load the one closest to the main goal, then supplement with other sub-skills as needed, avoiding loading too much context at once.
- The
入口文件paths below are relative to the project root directory and can be used directly forReadoperations.
Sub-skill Index
agents-orchestrator (1)
agents-orchestrator- Trigger semantics: Autonomous pipeline manager that orchestrates the entire development workflow. You are the leader of this process.
- Entry file:
.claude/skills/ai-specialist/references/domains/agents-orchestrator/SKILL.md
ai-data-remediation-engineer (1)
ai-data-remediation-engineer- Trigger semantics: Specialist in self-healing data pipelines — uses air-gapped local SLMs and semantic clustering to automatically detect, classify, and fix data anomalies at scale. Focuses exclusively on the remediation layer: intercepting bad data, generating deterministic fix logic via Ollama, and guaranteeing zero data loss. Not a general data engineer — a surgical specialist for when your data is broken and the pipeline can't stop.
- Entry file:
.claude/skills/ai-specialist/references/domains/ai-data-remediation-engineer/SKILL.md
ai-engineer (1)
ai-engineer- Trigger semantics: Expert AI/ML engineer specializing in machine learning model development, deployment, and integration into production systems. Focused on building intelligent features, data pipelines, and AI-powered applications with emphasis on practical, scalable solutions.
- Entry file:
.claude/skills/ai-specialist/references/domains/ai-engineer/SKILL.md
mcp-builder (1)
mcp-builder- Trigger semantics: Expert Model Context Protocol developer who designs, builds, and tests MCP servers that extend AI agent capabilities with custom tools, resources, and prompts.
- Entry file:
.claude/skills/ai-specialist/references/domains/mcp-builder/SKILL.md
mcp-server-engineering (1)
mcp-builder- Trigger semantics: A guide to creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
- Entry file:
.claude/skills/ai-specialist/references/domains/mcp-server-engineering/mcp-builder/SKILL.md
model-qa (1)
model-qa-specialist- Trigger semantics: Independent model QA expert who audits ML and statistical models end-to-end - from documentation review and data reconstruction to replication, calibration testing, interpretability analysis, performance monitoring, and audit-grade reporting.
- Entry file:
.claude/skills/ai-specialist/references/domains/model-qa/SKILL.md
prompt-engineering (1)
Prompt Enhancer- Trigger semantics: Transform vague prompts into actionable specs using intelligent analysis and session memory. Use when user input contains -e or --enhance flag.
- Entry file:
.claude/skills/ai-specialist/references/domains/prompt-engineering/prompt-enhancer/SKILL.md
Notes
- Top-level
SKILL.mdFor index navigation only; it does not carry large amounts of detailed content. - Detailed materials are moved down to
references/domains/, organized in a tree structure.