implicit-coordination
Stigmergic agent coordination through environment modification, not messages. Vehicle semantics where carrier encodes meaning.
Stigmergic agent coordination through environment modification, not messages. Vehicle semantics where carrier encodes meaning.
Guide for creating Agent Skills with progressive disclosure, SKILL.md structure, and best practices
Record and transcribe voice input when user wants to speak instead of type, describe complex issues verbally, provide audio input, or dictate text. Use this when user says "record my voice", "let me speak", "voice input", "transcribe audio", or when verbal description would be clearer than typing.
Generate and manage text embeddings for semantic search, clustering, and similarity tasks
Run LLMs on Apple Silicon with MLX/mlx_lm - unified memory, 4-bit quantization, streaming generation, prompt caching. Optimal for M-series chips.
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
文本向量化(Embedding)基础服务。将自然语言转换为高维稠密向量,为语义搜索、聚类分析、推荐系统等下游任务提供核心数据支持。
This skill should be used when agents generate placeholder tokens like "pseudo-", "mock-", "temporary", "TODO", "demo-", or similar incompleteness markers. Detects substitution patterns in agent OUTPUT and triggers mandatory user interview instead of accepting incomplete work. Activates automatically on any output containing forbidden tokens.
Enterprise Encryption Security with AI-powered cryptographic architecture, Context7 integration, and intelligent encryption orchestration for data protection
Analyzes meeting transcripts and recordings to uncover behavioral patterns,
Batch OCR processing with DeepSeek-OCR via Ollama
This skill should be used when users want to create powerful AI agents comparable to Claude Code or sonph-code. It provides battle-tested system prompts, masterfully-crafted tool implementations, and the simple but powerful agent loop pattern. Use this skill when users ask to build coding agents, AI assistants with tools, or any autonomous agent that needs file operations, code execution, search, and task management capabilities. The key insight is that customization requires only ONE HumanMessage after the SystemPrompt.
Use when integrating Claude API with streaming responses, implementing tool execution in streams, tracking API costs, or encountering streaming errors - provides Anthropic SDK 0.30.1+ patterns with mandatory cost monitoring
Home Assistant translation_key and identifier practices—entity/device naming via translations, stable unique IDs, and migration tips.
Trigger phrase \"watching news!\"; Create a JSON file named with the current timestamp only in the current directory, crawl 10 AI-related news in descending order of time and output Chinese summaries
Restart Claude Code session to reload new skills, manage context, or start fresh. Use this skill when skills have been added/modified, when needing to compact/clear context, or to reload configuration changes.
Production deployment workflow for agentic systems. Directs to RAG for implementation.
Create new Claude Code skills following SOTA compact design patterns (v3.2)
Use when training a fine-tuned model and evaluating improvement over base model. Triggers - have filtered training data, ready to submit training job, need to convert to GGUF. Requires finetune-generate first.
Initialize long-running agent projects with environment setup, feature list generation, and progress tracking. Use when starting a new implementation project or setting up an existing codebase for Claude-assisted development. Creates init.sh (dev server script), claude-progress.txt (work log), and docs/features.json (feature list with status tracking).
Assist with image analysis, object detection, and visual AI tasks
Return to normal stop behavior. Use PROACTIVELY after completing all tasks in continuous work mode, when work is committed and tests pass, or when reaching natural stopping point. User can invoke with /claude-allow-stop.