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python ai web scraper mcp pdf git docker typescript

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ai

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llm-ai

10

workflow-executor-inline

Inline workflow executor for proxy providers (ZenMux, custom API providers). Executes workflow steps directly in the main context WITHOUT spawning Task subagents. Use this skill when: - Running looplia workflows via ZenMux or other proxy providers - Task subagents fail with "invalid_model" errors - You need inline execution without context isolation Architecture: Each workflow step is executed INLINE (no Task tool) - read skill, execute mission, write output, then proceed to next step. All steps share the main context. v0.6.6: Created for cross-provider compatibility with ZenMux.

memorysaver

data-ai

productivity-tools

10

vibe-coding

Comprehensive guide for AI-assisted vibe coding. Use when the user wants to build applications through natural language prompts using tools like Lovable, Cursor, Replit, or Bolt. Includes best practices, pitfall awareness, tool-specific guidance, architectural decision support, and MVP scope definition with a bias toward cutting features aggressively to ship faster.

Exploration-labs

tools

productivity-tools

10

learning-capture

Recognize and capture reusable patterns, workflows, and domain knowledge from work sessions into new skills. Use when completing tasks that involve novel approaches repeated 2+ times, synthesizing complex domain knowledge across conversations, discovering effective reasoning patterns, or developing workflow optimizations. Optimizes for high context window ROI by identifying patterns that will save 500+ tokens per reuse across 10+ future uses.

Exploration-labs

tools

productivity-tools

10

skill-creator

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

amrhas82

tools

machine-learning

10

transformers

Loading and using pretrained models with Hugging Face Transformers. Use when working with pretrained models from the Hub, running inference with Pipeline API, fine-tuning models with Trainer, or handling text, vision, audio, and multimodal tasks.

itsmostafa

data-ai

productivity-tools

10

deviation-impact-analysis

Turn "AI draft -> author edits" diffs into structured deviation items, an author-intent prompt, and a concrete propagation plan.

aevatarAI

tools

productivity-tools

10

capture-learning

This skill should be used when the user asks to "capture this learning", "update the docs with this", "remember this for next time", "document this issue", "add this to CLAUDE.md", "save this knowledge", "update project knowledge", or when the user has just resolved an issue and wants to prevent it from happening again. Analyzes recent session context and updates project knowledge files.

petekp

tools

machine-learning

10

lora

Parameter-efficient fine-tuning with Low-Rank Adaptation (LoRA). Use when fine-tuning large language models with limited GPU memory, creating task-specific adapters, or when you need to train multiple specialized models from a single base.

itsmostafa

data-ai

productivity-tools

10

manus

Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.

alishangtian

tools

system-admin

10

perry

Create and manage isolated Docker workspaces on your tailnet with Claude Code and OpenCode pre-installed. Use when working with Perry workspaces, connecting to coding agents, or managing remote development environments.

gricha

tools

llm-ai

10

skill-capability-matcher

This skill should be used when matching user requirements to available skills from a compiled registry. It receives a skill registry (from registry-loader) and user requirements, then scores each skill based on capability alignment, producing prioritized matches with confidence scores. Triggers: "match skills to requirements", "find relevant skills for workflow", "which skill handles X", "score skill capabilities", "/build" (after registry load), "find skills for this task", "match my requirements to skills". Second step in looplia workflow building pipeline: takes user requirements and skill registry, recommends skill sequences with missions. Designs one workflow step → one skill-executor → multiple skills orchestration pattern.

memorysaver

data-ai

system-admin

10

multi-agent-coordination

Coordinate work between multiple AI agents in Agent Hive. Use this skill when multiple agents need to collaborate, managing dependencies between projects, preventing conflicts, using the coordination server, or understanding multi-agent workflows.

intertwine

tools

productivity-tools

10

llm-integrator

Integrate LLM providers (Claude, GPT, etc.) with emotive-mascot for sentiment-driven emotional responses. Use when connecting to AI services, implementing chat interfaces, or creating emotion-aware conversational experiences.

joshtol

tools

llm-ai

10

writing-journal

Aggregate a writing session into a readable log + a reusable author-intent prompt.

aevatarAI

data-ai

ide-plugins

10

model-first-reasoning

Apply Model-First Reasoning (MFR) to code generation tasks. Use when the user requests "model-first", "MFR", "formal modeling before coding", "model then implement", or when tasks involve complex logic, state machines, constraint systems, or any implementation requiring formal correctness guarantees. Enforces strict separation between modeling and implementation phases.

petekp

tools

llm-ai

10

gemini-image-generator

Generate images using Google Gemini with customizable options

stevenmays

data-ai

system-admin

10

agentic-development

Conversational guidance for building software with AI agents, covering workflows, tool selection, prompt strategies, parallel agent management, and best practices based on real-world high-volume agentic development experience. Use this skill when users ask about setting up agentic workflows, choosing models, optimizing prompts, managing parallel agents, or improving agent output quality.

Exploration-labs

tools

knowledge-base

10

skill-debugging-assistant

Debug, diagnose, and troubleshoot skill issues including trigger failures, parameter problems, prompt conflicts, and SKILL.md structural issues. Use when skills don't activate as expected, trigger incorrectly, produce unexpected behavior, conflict with system instructions, or fail packaging validation. Analyzes YAML frontmatter, descriptions, progressive disclosure, token budget, absolute statements, and reference file organization. For skill creators reviewing, validating, or fixing skill problems.

Exploration-labs

documentation

system-admin

10

angreal-usage

This skill should be used when the user asks to "run an angreal task", "execute angreal command", "discover angreal tasks", "list angreal commands", "use angreal tree", "find available tasks", "what tasks are available", or needs guidance on running tasks, interpreting task output, task workflows, or choosing the right task for a job.

angreal

tools

productivity-tools

10

angreal-tool-descriptions

This skill should be used when the user asks to "write a ToolDescription", "add AI guidance to task", "document task for AI", "set risk level", "write tool description prose", "guide AI agents", or needs guidance on angreal.ToolDescription, risk_level, writing effective descriptions for AI agent consumption, or making tasks AI-friendly.

angreal

tools

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