GitHub
ppage
Captures session learnings, decisions, and context to a markdown file for future agent ramp-up. Use when user says "ppage", "page context", "save context", "capture learnings", or before ending a substantial wo...
☆ 63View skill
devops llm ai AI Skills
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multi-mind
Multi-specialist collaborative analysis for complex decisions. Spawns parallel subagents with diverse domain expertise to analyze a topic from multiple angles. Use when user says "multi-mind", or for complex ar...
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GitHub
codeact
Generate and execute code for acting with Python tools. Activate when user explicitly requests to "use the codeact skill" or similar phrases.
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GitHub
ai-engineer
Use when building production-grade GenAI, Agentic Systems, Advanced RAG, or setting up rigorous Evaluation pipelines.
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GitHub
reflect
Analyzes conversation transcripts to extract user corrections, patterns, and preferences, then proposes skill improvements. Use this skill when users provide corrections, express preferences about code style, o...
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GitHub
sdk-job-management
This skill should be used when the user asks about "job status", "check if request completed", "cancel request", "why is my request taking so long", "poll for result", "batch requests", "retry failed request",...
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GitHub
case-feedback-skill
Run the case feedback script to submit feedback for the current conversation. Only use when invoked by case-feedback-agent.
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GitHub
creating-prompts
Creates VS Code Copilot reusable prompts for on-demand workflows. Use when building repeatable tasks users trigger manually - can be simple templates or complex multi-step processes.
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GitHub
creating-agents
Creates GitHub Copilot custom agents as specialized personas with controlled tools and handoffs. Use when building role-based workflows (planner, reviewer, architect) or guided multi-agent sequences.
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GitHub
creating-skills
Creates, validates, and packages Agent Skills following the open standard (agentskills.io). Portable across multiple AI agents. Use when building agent-discoverable capabilities with scripts, references, or ass...
☆ 61View skill
GitHub
remember
Store decisions and patterns in knowledge graph with optional cloud sync. Use when saving patterns, storing decisions, remembering approaches that worked.
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GitHub
langfuse-observability
LLM observability platform for tracing, evaluation, prompt management, and cost tracking. Use when setting up Langfuse, monitoring LLM costs, tracking token usage, or implementing prompt versioning.
☆ 61View skill
GitHub
llm-testing
Testing patterns for LLM-based applications. Use when testing AI/ML integrations, mocking LLM responses, testing async timeouts, or validating structured outputs from LLMs.
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GitHub
add-golden
Curate and add documents to the golden dataset with multi-agent validation. Use when adding test data, creating golden datasets, saving examples.
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GitHub
errors
Error pattern analysis and troubleshooting for Claude Code sessions. Use when handling errors, fixing failures, troubleshooting issues.
☆ 61View skill
GitHub
resilience-patterns
Production-grade fault tolerance for distributed systems. Use when implementing circuit breakers, retry with exponential backoff, bulkhead isolation patterns, or building resilience into LLM API integrations.
☆ 61View skill
GitHub
llm-safety-patterns
Security patterns for LLM integrations including prompt injection defense and hallucination prevention. Use when implementing context separation, validating LLM outputs, or protecting against prompt injection a...
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GitHub
webapp-testing
Use when testing web applications with AI-assisted Playwright. Webapp testing covers autonomous test agents for planning, generating, and self-healing tests.
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GitHub
mem0-memory
Long-term semantic memory across sessions using Mem0. Use when you need to remember, recall, or forget information across sessions, or when referencing what we discussed last time or in a previous session.
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GitHub
alternative-agent-frameworks
Multi-agent frameworks beyond LangGraph. CrewAI crews, Microsoft Agent Framework, OpenAI Agents SDK. Use when building multi-agent systems, choosing frameworks.
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GitHub
rag-retrieval
Retrieval-Augmented Generation patterns for grounded LLM responses. Use when building RAG pipelines, constructing context from retrieved documents, adding citations, or implementing hybrid search.
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GitHub
high-performance-inference
High-performance LLM inference with vLLM, quantization (AWQ, GPTQ, FP8), speculative decoding, and edge deployment. Use when optimizing inference latency, throughput, or memory.
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GitHub
cache-cost-tracking
LLM cost tracking with Langfuse for cached responses. Use when monitoring cache effectiveness, tracking cost savings, or attributing costs to agents in multi-agent systems.
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GitHub
llm-evaluation
LLM output evaluation and quality assessment. Use when implementing LLM-as-judge patterns, quality gates for AI outputs, or automated evaluation pipelines.
☆ 61View skill
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