GitHub
train-debug
Interactive diagnostic workflow for training problems. Use when training is failing, loss is stuck, gradients explode, NaN occurs, or convergence is poor.
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文档写作 AI 技能
发现 文档写作 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
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GitHub
train
Execute a neural network training run with mandatory monitoring and best-practice defaults. Use when user wants to train a model, start training, or run a training job.
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GitHub
experiment-plan
Design rigorous experiments before running them. Use when planning experiments, testing hypotheses, or designing ablation studies.
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GitHub
monitor
View training progress in real-time. Use when checking on running training, viewing live metrics, or opening dashboards.
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GitHub
run-validation
Run model validation on a dataset. Use when testing model performance, comparing checkpoints, or running final evaluation.
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GitHub
interpret-curves
Analyze training logs and explain what's happening. Use when reviewing training runs, understanding loss curves, or diagnosing completed training.
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GitHub
scaling-analysis
Run scaling experiments to understand model/data/compute relationships. Use when investigating scaling laws, compute-optimal training, or model size decisions.
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GitHub
typescript
TypeScript strict patterns and best practices. Trigger: When implementing or refactoring TypeScript in .ts/.tsx (types, interfaces, generics, const maps, type guards, removing any, tightening unknown).
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GitHub
ai-sdk-5
Vercel AI SDK 5 patterns. Trigger: When building AI features with AI SDK v5 (chat, streaming, tools/function calling, UIMessage parts), including migration from v4.
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GitHub
frontend-api-client-with-jwt
A conceptual skill for building an API client in Next.js that handles JWT tokens
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GitHub
api-jwt-authenticator
A conceptual skill for securing FastAPI REST APIs with JWT authentication
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GitHub
crud-with-spec-kit
A conceptual skill for implementing CRUD features driven by Spec-Kit and Claude Code
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GitHub
spec-kit-claude-code-workflow
A conceptual skill for guiding the Spec-Kit + Claude Code development workflow
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GitHub
nextjs-better-auth-integration
A conceptual skill for integrating Better Auth with Next.js App Router
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GitHub
claude-agent-sdk
Build production AI agents with the Claude Agent SDK. Use when working with: (1) Creating autonomous agents with query() or ClaudeSDKClient, (2) Defining custom tools via in-process MCP servers, (3) Implementin...
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GitHub
gtm-ops
Trigger when user mentions GTM, Tag Manager, Enhanced Conversions, or publishing. Guide through GTM operations.
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GitHub
pmax-optimization
Activate when user asks about Performance Max campaigns, search themes, asset groups, or PMax optimization. Provides guidance on managing PMax campaigns via xwander-ads plugin.
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GitHub
gaql-queries
Activate when user needs custom Google Ads data analysis, advanced reporting, or specific metric queries. Provides GAQL query building and execution guidance.
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GitHub
conversion-tracking
Activate when user asks about conversion tracking, HubSpot sync, offline conversions, or attribution. Provides guidance on conversion setup and troubleshooting.
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GitHub
obsidian-todorust
Todoist data retrieval for Obsidian using todorust CLI. Fetch tasks and projects in ready-to-use Markdown formats. Use when skills need to: (1) Get completed tasks for daily/weekly reports, (2) Query by project...
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GitHub
ontology-phase-1-ingest
Phase 1 of Ontology Builder Pipeline. Ingests and catalogs all input materials from _input/ folder. Use when starting ontology building process or when processing new input documents for domain analysis.
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GitHub
ontology-phase-4-generate
Phase 4 of Ontology Builder Pipeline. Generates final Ontology artifacts (entity definitions, workflow catalog, concept guides) from DRD. Use after Phase 3 DRD is complete.
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GitHub
ontology-phase-2-analyze
Phase 2 of Ontology Builder Pipeline. AI acts as domain SME to analyze raw inputs, extract entities/workflows/rules, fill knowledge gaps using market expertise. Use after Phase 1 ingestion is complete.
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GitHub
ontology-phase-3-synthesize
Phase 3 of Ontology Builder Pipeline. Synthesizes analysis results into complete Domain Requirement Document (DRD). Use after Phase 2 analysis is complete to generate structured DRD.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。