Reference for ToolHive CLI command `thv skill`

context(arch = 'x86_64', os = 'linux', endian = 'little')

Debug why CoW Protocol orders fail to match. Requires DB access + Victoria Logs access (via Grafana).

Guía de troubleshooting para los errores más comunes de Firebase/Firestore en el proyecto SportsCards.

Node.js runtime providers, app-executor sidecar, and graph execution API in packages/node and packages/app-executor

Common problems and how to fix them, organized by symptom.

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Leverages Gemini 3.0 Pro's vision capabilities to analyze screenshots, videos, and PDFs for debugging and context ingestion. USE WHEN you need the AI to "see" a problem or extract structure from visua

debug

Skill for breakpoint-strategies tasks.

Debug and diagnostics. Use when users want to check compilation errors, get system info, or debug issues. Triggers: debug, error, compilation, recompile, system info, diagnostics, Unity调试, Unity编译错误, Unity诊断.

Coordinates parallel investigation threads to simultaneously explore multiple hypotheses or root causes across different system areas. Use when debugging production incidents, slow API performance, multi-system integration failures, or complex bugs where the root cause is unclear and multiple plausible theories exist; when serial troubleshooting is too slow; or when multiple investigators can divide root-cause analysis work. Provides structured phases for problem decomposition, thread assignment, sync points with Continue/Pivot/Converge decisions, and final report synthesis.

4-phase systematic debugging methodology with root cause analysis and evidence-based verification. Use when debugging complex issues.

Design and maintain the Phase 01 Orchestra YAML registry, Rust core types, atomic save/load, and CLI bootstrap commands.

Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns, file paths, content patterns), enforcement levels (block, suggest, warn), hook mechanisms (UserPromptSubmit, PreToolUse), session tracking, and the 500-line rule.

An exam preparation full pipeline. An agent team collaborates to perform trend analysis, weakness diagnosis, customized study planning, mock exam creation, and error analysis. Use this skill for requests like 'help me prepare for an exam', 'create a mock exam', 'analyze past exams', 'diagnose weaknesses', 'error analysis', 'college entrance prep', 'certification exam', 'civil service exam', 'TOEIC prep', 'create a study plan', and other exam preparation needs. Existing score reports or error data can be used to augment the diagnostic phase. However, actual exam registration/payment, academy recommendations, and live lecture delivery are outside the scope of this skill.

This is the authoritative architecture document for any AI agent or developer working in this codebase. Read this before reading source files.