forge-analyzer
Analyze vague user ideas and recommend architecture based on actual needs, not predefined categories. Front-end for clarifying ambiguous requests before routing to appropriate skillmaker tools.
发现 tools llm ai 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。
Analyze vague user ideas and recommend architecture based on actual needs, not predefined categories. Front-end for clarifying ambiguous requests before routing to appropriate skillmaker tools.
LLM invocation patterns from hooks via SDK. Use when you need background agents, CLI calls, or cost optimization.
U-llm-sdk and claude-only-sdk patterns. Use when working on projects with LLM service, designing LLM integrations, or implementing AI-powered features.
Claude Code Hook system entry point. Guides you to the right skill based on your needs.
Single-skill vs multi-skill subagent architectures. Use when designing subagents.
Smart routing wizard for creating skills, agents, commands with complexity-based skill loading
Context isolation for query-type MCP tools (LSP, search, database) via external CLI. Use when MCP query results consume too many context tokens.
Generate and execute SQL queries against the civitai_records PostgreSQL database to analyze video performance on Civitai. Use when users ask about: video engagement metrics (likes, hearts, comments), content pe...
Generate, edit, or transform images with Gemini Nano Banana using bundled Python scripts (Flash or Pro) including aspect ratio, resolution, image-to-image edits, logo overlays, and reference images. Use when us...
Automatically fetch and summarize the latest AI news, research, and industry developments. Use when users request: (1) Daily AI news updates, (2) Latest AI technology developments, (3) Recent AI research papers...
Session start/end workflows for Claude Family
Implements the Zettelkasten method for Obsidian. Use when the user wants to organize, create, link, critique, or visualize notes according to Zettelkasten principles. Supports distilling raw text into atomic no...
Explains how to create Synapse plugin actions. Use when the user asks to "create an action", "write an action", uses "@action decorator", "BaseAction class", "function-based action", "class-based action", "Pyda...
Explains specialized Synapse action classes for specific workflows. Use when the user mentions "BaseTrainAction", "BaseExportAction", "BaseUploadAction", "BaseInferenceAction", "BaseDeploymentAction", "AddTaskD...
Explains step-based workflow system for Synapse plugin actions. Use when the user mentions "BaseStep", "StepRegistry", "Orchestrator", "StepResult", "BaseStepContext", "step-based workflow", "workflow steps", "...
Explains how to execute Synapse plugins programmatically. Use when the user mentions "run_plugin", "ExecutionMode", "LocalExecutor", "RayActorExecutor", "RayJobExecutor", "PluginDiscovery", "from_path", "from_m...
Explains result schema classes for Synapse plugin actions. Use when the user mentions "TrainResult", "InferenceResult", "ExportResult", "UploadResult", "WeightsResult", "MetricsResult", "result_model", "result...
Explains how to use Synapse RuntimeContext API. Use when the user asks about "RuntimeContext", "ctx.", "logging", "progress tracking", "set_progress", "set_metrics", "log_message", "BaseStepContext", "TrainCont...
Multi-perspective AI council for designing, validating, and improving trading strategies with 5 specialized agents.
Analyze code performance, detect bottlenecks, suggest optimizations for algorithms, queries, and resource usage. Use when improving application performance or investigating slow code.
AIフィードバックループ最適化スキル。プロンプト→出力→評価→改善の反復サイクルを自動化。段階的改善、A/Bテスト、収束判定、ベスト出力選択で最高品質の結果を生成。
Copilot CLIに処理を委譲するスキル。ユーザーが「Copilotに聞いて」「Copilotで確認して」「Copilotに任せて」などと明示的に依頼したときに使用する。GitHub Copilot CLIの機能を活用して、コマンドの提案やGit操作の説明な...
Analyze application logs to detect errors, patterns, anomalies, and generate insights. Use when troubleshooting issues or analyzing system behavior.
Process and generate Word documents with formatting, tables, and images. Use when working with Word documents or generating reports.
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。