LLM & Agents

Technical support and database management for OpenLink Virtuoso Server with RDF Views generation, SPARQL queries, and comprehensive database operations. Provides assistance with installation, configuration, troubleshooting, RDF data management, SQL/SPARQL/GraphQL queries, automated RDF Views generation from relational database tables, entity discovery, and metadata management using 23 specialized MCP tools.

This skill provides comprehensive guidance for running AI coding agents in non-interactive (headless) mode for automation, CI/CD pipelines, and scripting. Use when integrating Claude Code, Codex, Gemini, OpenCode, Qwen, or Droid CLI into automated workflows where human interaction is not desired.

Use this skill when configuring, building, or rebuilding CPython from source, running tests, or debugging test failures. Covers ./configure with --with-pydebug, make commands, ccache for faster rebuilds, Argument Clinic regeneration (make clinic), unittest-based testing with python -m test (NOT pytest), --match filtering, code coverage collection, and platform-specific build paths (Linux vs macOS).

长文档Markdown分段翻译技能（Agent自己翻译）

Model Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.

Orchestrate fixing issues found by /review. Handles issue discovery, user confirmation, prioritized execution, and progress tracking. Works with review output from any category (bugs, maintainability, types, docs, coverage, claude-md).

Post-creation workflow for new Claude Code plugins - structure, commands, publishing

Manages Terraform state operations including importing existing resources, moving resources between states, removing resources from state, and migrating state backends. This skill should be used when users need to import infrastructure into Terraform, refactor resource addresses, fix state issues, or migrate state storage locations.

Code review practices with technical rigor and verification gates. Practices: receiving feedback, requesting reviews, verification gates. Capabilities: technical evaluation, evidence-based claims, PR review, subagent-driven review, completion verification. Actions: review, evaluate, verify, validate code changes. Keywords: code review, PR review, pull request, technical feedback, review feedback, completion claim, verification, evidence-based, code quality, review request, technical rigor, subagent review, code-reviewer, review gate, merge criteria. Use when: receiving code review feedback, completing major features, making completion claims, requesting systematic reviews, validating before merge, preventing false completion claims.

This skill should be used when the user asks about "writing specs", "specs.md format", "how to write specifications", "sprint requirements", "testing configuration", "scope definition", or needs guidance on creating effective sprint specifications for agentic development.

Facilitates open-ended technical exploration through genuine conversation - thinking through problems, exploring options, investigating approaches, and discussing what-if scenarios. Use when the user wants to explore options, think through problems, investigate approaches, evaluate available options, or engage in what-if discussions rather than immediately implementing solutions.

Validate all checkpoints from an agent run directory in parallel. Spawns test-validator agents for each checkpoint and summarizes results. Invoke with /validate-run <run_path> [problem].

Use when creating test plans, reviewing test coverage, defining quality gates, writing E2E test scenarios, or validating acceptance criteria. Invoked for quality assurance, testing strategy, and verification activities.

Terraform infrastructure-as-code patterns for AWS and Azure provisioning. Use when creating or modifying .tf files, writing Terraform modules, managing remote state (S3, Azure Storage), working with terraform commands (init, plan, apply, destroy), configuring providers (AWS, Azure, Google Cloud), or implementing infrastructure best practices like module design, workspace strategies, and state locking.

Use when completing tasks, implementing major features, or before merging to verify work meets requirements - dispatches code-reviewer subagent to review implementation against plan or requirements before proceeding

Meta-skill for writing and maintaining Claude Code skills. Use when creating new skills, updating existing skills, or reviewing skill quality. Enforces progressive disclosure and size limits.

Analyze checkpoint tests and suggest missing edge cases. Use after writing tests or when reviewing test coverage. Invoke with /edge-cases <problem> <checkpoint>.

Audit Solana programs (Anchor or native Rust) for security vulnerabilities. Use when reviewing smart contract security, finding exploits, analyzing attack vectors, performing security assessments, or when explicitly asked to audit, review security, check for bugs, or find vulnerabilities in Solana programs.

Specialized agent that crafts high level designs and plans

Iteratively craft a CUSTOMER.md document that precisely defines your ideal customer profile (ICP). This is the foundational document from which everything else (product, features, brand) derives. Uses parallel research agents and multi-choice workflow with feedback cycles.