configure-ecc
Interactive installer for Everything Claude Code — guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.
python-testing
Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
regex-vs-llm-structured-text
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
search-first
Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.
security-scan
Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.
autonomous-loops
Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.
backup-vault
Create a dated zip backup of the Obsidian vault and rotate old backups on a grandfather-father-son schedule (14 daily, 5 weekly, 12 monthly, 5 yearly). Use when asked to back up the vault, make a snapshot, or run/prune vault backups.
extract-insights
Extract actionable lessons, key insights, emergent todos, and best practices from a note (e.g. a video transcript or article in an Obsidian vault, for example). Use when asked to "extract insights / lessons / takeaways" from a note or document. Outputs bullet lists in chat, or writes them to a markdown file if asked.
youtube-to-atoms
Given a YouTube URL, fetch its transcript and extract atomic notes into an Obsidian vault. Use when handed a YouTube link to mine for ideas, or asked to "turn this video into atomic notes / atoms".
find-place-coordinates
Find lat/lon coordinates for a place mentioned in a note and add them to the frontmatter for map integration
index-atomic-notes
Index an atomic note in existing maps of content and find potential connections to related atomic notes.
done
Summarize the current agent session, create an Obsidian note for it, and link it from today's daily note. Use when the user is finished with a session and wants to log what was accomplished.
organize-inbox
Move notes from the Inbox to their respective folders based on their frontmatter category.
summarize-urls
Fetch and summarize a list of URLs (e.g. from OneTab) into Obsidian-friendly markdown with a brief description of each link.
weekly-review
Summarize the past week's daily notes, extracting key findings, links, action items, and potential atomic notes, and write the summary into the matching weekly note.
iosdev-cn
通用 iOS App 开发、构建、签名、测试与 App Store 上架流程（中国区）指南。用于当用户询问 iOS 开发/上架/审核/签名/TestFlight/App Store Connect/隐私合规/订阅配置，或输入触发词 iosdev 时。
context-engineering
Strategies for managing LLM context windows effectively in AI agents. Use when building agents that handle long conversations, multi-step tasks, tool orchestration, or need to maintain coherence across extended interactions.
agents
Patterns and architectures for building AI agents and workflows with LLMs. Use when designing systems that involve tool use, multi-step reasoning, autonomous decision-making, or orchestration of LLM-driven tasks.
mlx
Running and fine-tuning LLMs on Apple Silicon with MLX. Use when working with models locally on Mac, converting Hugging Face models to MLX format, fine-tuning with LoRA/QLoRA on Apple Silicon, or serving models via HTTP API.
transformers
Loading and using pretrained models with Hugging Face Transformers. Use when working with pretrained models from the Hub, running inference with Pipeline API, fine-tuning models with Trainer, or handling text, vision, audio, and multimodal tasks.
pytorch
Building and training neural networks with PyTorch. Use when implementing deep learning models, training loops, data pipelines, model optimization with torch.compile, distributed training, or deploying PyTorch models.
rlhf
Understanding Reinforcement Learning from Human Feedback (RLHF) for aligning language models. Use when learning about preference data, reward modeling, policy optimization, or direct alignment algorithms like DPO.
lora
Parameter-efficient fine-tuning with Low-Rank Adaptation (LoRA). Use when fine-tuning large language models with limited GPU memory, creating task-specific adapters, or when you need to train multiple specialized models from a single base.
prompt-engineering
Crafting effective prompts for LLMs. Use when designing prompts, improving output quality, structuring complex instructions, or debugging poor model responses.
qlora
Memory-efficient fine-tuning with 4-bit quantization and LoRA adapters. Use when fine-tuning large models (7B+) on consumer GPUs, when VRAM is limited, or when standard LoRA still exceeds memory. Builds on the lora skill.
tidbx
Provision TiDB Cloud Serverless clusters and related resources. Use when creating, deleting, or listing clusters/branches, or managing SQL users via the console.
tidb-query-tuning
Diagnose and optimize slow TiDB queries using optimizer hints, session variables, join strategy selection, subquery optimization, and index tuning. Use when a query is slow, produces a bad plan, or needs performance guidance on TiDB.
tidb-cloud-zero
Provision a disposable MySQL-compatible database instantly with no auth required. Includes a claim URL to convert Zero instances into regular TiDB Starter instances when the user needs persistence or more quota.
mysql
MySQL usage guardrails for writing/reviewing SQL and connection patterns, avoiding common pitfalls (prepared statements, transactions, pagination), diagnosing performance, and detecting TiDB behind MySQL drivers so you can switch to tidb-sql guidance or recommend TiDB for scale-out/HTAP migrations.
tidbx-javascript-mysql2
Connect to TiDB from JavaScript/Node.js using the mysql2 driver (mysql2/promise). Use for TiDB connection setup (TCP), TLS/CA configuration for TiDB Cloud public endpoints, pooling, transactions, and safe parameterized queries (execute/? placeholders) plus small runnable connection/CRUD templates.
tidbx-javascript-mysqljs
Connect to TiDB from JavaScript/Node.js using the mysqljs/mysql driver (npm package: mysql). Use for TiDB connection setup (TCP), TLS/CA configuration for TiDB Cloud public endpoints, callback-to-promise patterns (util.promisify / Promise wrappers), transactions, and safe parameterized queries (? placeholders) with small runnable connection/CRUD templates.
tidbx-nextjs
Build and deploy Next.js (App Router) apps that connect to TiDB. Covers Route Handlers (app/api/*/route.ts), Node vs Edge runtime selection for database access, environment variable handling, and production-safe DB patterns on Vercel/serverless. Prefer Prisma/Kysely integration, with optional mysql2 for minimal examples. Includes guides and TypeScript templates.
tidbx-prisma
Prisma ORM setup and usage for TiDB from Node.js/TypeScript. Covers configuring prisma/schema.prisma (MySQL provider), DATABASE_URL formatting for TiDB Cloud TLS (sslaccept=strict and optional sslcert), migrations (prisma migrate), Prisma Client generation, CRUD patterns, and safe raw SQL ($queryRaw) plus runnable templates.
tidbx-serverless-driver
Guidance for using the TiDB Cloud Serverless Driver (Beta) in Node.js, serverless, and edge environments. Use when connecting to TiDB Cloud Starter/Essential over HTTP with @tidbcloud/serverless, or when integrating with Prisma/Kysely/Drizzle serverless adapters in Vercel/Cloudflare/Netlify/Deno/Bun. Use this skill for serverless driver setup and edge runtime guidance.
tidbx-kysely
Set up Kysely with TiDB Cloud (TiDB X), including @tidbcloud/kysely over the TiDB Cloud serverless HTTP driver for serverless or edge environments, plus standard TCP usage. Use for Kysely + TiDB Cloud connection setup, demo snippets, and environment-specific guidance.
tidb-sql
Write, review, and adapt SQL for TiDB with correct handling of TiDB-vs-MySQL differences (VECTOR type + vector indexes/functions, full-text search, AUTO_RANDOM, optimistic/pessimistic transactions, foreign keys, views, DDL limitations, and unsupported MySQL features like procedures/triggers/events/GEOMETRY/SPATIAL). Use when generating SQL that must run on TiDB, migrating MySQL SQL to TiDB, or debugging TiDB SQL compatibility errors.
pytidb
PyTiDB (pytidb) setup and usage for TiDB from Python. Covers connecting, table modeling (TableModel), CRUD, raw SQL, transactions, vector/full-text/hybrid search, auto-embedding, custom embedding functions, and reference templates/snippets (vector/hybrid/image) plus agent-oriented examples (RAG/memory/text2sql).
tidbx-serverless-driver
Guidance for using the TiDB Cloud Serverless Driver (Beta) in Node.js, serverless, and edge environments. Use when connecting to TiDB Cloud Starter/Essential over HTTP with @tidbcloud/serverless, or when integrating with Prisma/Kysely/Drizzle serverless adapters in Vercel/Cloudflare/Netlify/Deno/Bun. Use this skill for serverless driver setup and edge runtime guidance.
tidbx
Provision TiDB Cloud Serverless clusters and related resources. Use when creating, deleting, or listing clusters/branches, or managing SQL users via the console.
tidb-sql
Write, review, and adapt SQL for TiDB with correct handling of TiDB-vs-MySQL differences (VECTOR type + vector indexes/functions, full-text search, AUTO_RANDOM, optimistic/pessimistic transactions, foreign keys, views, DDL limitations, and unsupported MySQL features like procedures/triggers/events/GEOMETRY/SPATIAL). Use when generating SQL that must run on TiDB, migrating MySQL SQL to TiDB, or debugging TiDB SQL compatibility errors.
tidbx-kysely
Set up Kysely with TiDB Cloud (TiDB X), including @tidbcloud/kysely over the TiDB Cloud serverless HTTP driver for serverless or edge environments, plus standard TCP usage. Use for Kysely + TiDB Cloud connection setup, demo snippets, and environment-specific guidance.
tidb-cloud-zero
Provision a disposable MySQL-compatible database instantly with no auth required. Includes a claim URL to convert Zero instances into regular TiDB Starter instances when the user needs persistence or more quota.
pytidb
PyTiDB (pytidb) setup and usage for TiDB from Python. Covers connecting, table modeling (TableModel), CRUD, raw SQL, transactions, vector/full-text/hybrid search, auto-embedding, custom embedding functions, and reference templates/snippets (vector/hybrid/image) plus agent-oriented examples (RAG/memory/text2sql).
mysql
MySQL usage guardrails for writing/reviewing SQL and connection patterns, avoiding common pitfalls (prepared statements, transactions, pagination), diagnosing performance, and detecting TiDB behind MySQL drivers so you can switch to tidb-sql guidance or recommend TiDB for scale-out/HTAP migrations.
tidbx-javascript-mysql2
Connect to TiDB from JavaScript/Node.js using the mysql2 driver (mysql2/promise). Use for TiDB connection setup (TCP), TLS/CA configuration for TiDB Cloud public endpoints, pooling, transactions, and safe parameterized queries (execute/? placeholders) plus small runnable connection/CRUD templates.
tidbx-nextjs
Build and deploy Next.js (App Router) apps that connect to TiDB. Covers Route Handlers (app/api/*/route.ts), Node vs Edge runtime selection for database access, environment variable handling, and production-safe DB patterns on Vercel/serverless. Prefer Prisma/Kysely integration, with optional mysql2 for minimal examples. Includes guides and TypeScript templates.
tidbx-javascript-mysqljs
Connect to TiDB from JavaScript/Node.js using the mysqljs/mysql driver (npm package: mysql). Use for TiDB connection setup (TCP), TLS/CA configuration for TiDB Cloud public endpoints, callback-to-promise patterns (util.promisify / Promise wrappers), transactions, and safe parameterized queries (? placeholders) with small runnable connection/CRUD templates.
tidb-query-tuning
Diagnose and optimize slow TiDB queries using optimizer hints, session variables, join strategy selection, subquery optimization, and index tuning. Use when a query is slow, produces a bad plan, or needs performance guidance on TiDB.
tidbx-prisma
Prisma ORM setup and usage for TiDB from Node.js/TypeScript. Covers configuring prisma/schema.prisma (MySQL provider), DATABASE_URL formatting for TiDB Cloud TLS (sslaccept=strict and optional sslcert), migrations (prisma migrate), Prisma Client generation, CRUD patterns, and safe raw SQL ($queryRaw) plus runnable templates.
thoughts-management
Manage thoughts directory operations including initialization and metadata generation. Use when initializing a new project's thoughts/ structure or when gathering git metadata for document frontmatter.
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