Agent Skills: got-controller
Graph of Thoughts (GoT) Controller - 管理研究图状态，执行图操作（Generate, Aggregate, Refine, Score），优化研究路径质量。当研究主题复杂或多方面、需要策略性探索（深度 vs 广度）、高质量研究时使用此技能。
ID: liangdabiao/claude-code-stock-deep-research-agent/got-controller
37182
Install this agent skill to your local
Skill Files
The files that make up got-controller.
Loading file tree…
More agent skills
- hilbert-spacesProblem-solving strategies for hilbert spaces in functional analysis
- command-developmentThis skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.
- high-output-managementManage for output using Grove''s "High Output Management": a manager''s output is their organization''s output, raised by high-leverage activities. Use when the user mentions "high output management", "managerial leverage", "one-on-ones", "1:1 agenda", "OKRs", "performance review", "task-relevant maturity", "delegation", "meeting overload", "new manager", "how do I run a 1:1", or "just got promoted to manager". Also trigger when structuring a manager''s calendar and meeting cadence, designing team metrics, running planning, coaching delegation, or preparing performance reviews. Covers leverage, production principles, meetings as the medium of management, decisions, OKRs, and task-relevant maturity. For intrinsic motivation, see drive-motivation. For a company operating system, see traction-eos.
- python-code-stylePython code style, linting, formatting, naming conventions, and documentation standards. Use when writing new code, reviewing style, configuring linters, writing docstrings, or establishing project standards.
- semgrep>-
- pinme-llmUse this skill when a PinMe project (Worker TypeScript) needs to call OpenRouter-backed LLM APIs, including models, chat/completions, streaming, or OpenRouter web search. Guides AI to generate correct Worker TS code.