Performance
Performance profiling and optimization
integrated-reasoning-v2
by kimasplund
Enhanced meta-orchestration for selecting and combining reasoning patterns. Now includes 9 methodologies (ToT, BoT, SRC, HE, AR, DR, AT, RTR, NDF) with weighted multi-dimensional selection, feedback loops, uncertainty propagation, and validated confidence aggregation. Use when facing complex problems requiring optimal reasoning strategy selection.
hypothesis-elimination
by kimasplund
Systematic elimination reasoning for diagnosis and debugging. Use when you need to identify THE cause among many possibilities through evidence-based elimination. Ideal for production incidents, bug diagnosis, root cause analysis, and differential diagnosis. Unlike BoT (which explores), HE eliminates. Example: "Server is slow" → Generate 10 hypotheses, design discriminating tests, eliminate 9, confirm 1.
gh-profile
by DimitriGilbert
Expert GitHub profile customization assistant that helps create stunning, professional GitHub profile READMEs. Use this skill when users want to customize their GitHub profile, create profile READMEs, add stats cards, animations, badges, or automate profile updates with GitHub Actions. Covers 2025 trends including minimalist designs, themed profiles, dynamic content, animations, visitor tracking, AI-powered generation, and GitHub achievements.
session-recap
by mseok
"End-of-session checklist. Checks for uncommitted changes, offers to update focus, project docs, context, and session log. Replaces the old stop reminder flow."
sentence-transformers
by L-yifan
Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production embedding generation.
interview-writer
by ArcBlock
AI 采访式内容创作系统。不是人写，也不是 AI 自动写，而是 AI 分析后采访人再按人的风格写。通过问答不断沉淀用户画像（观点、写作风格、思考逻辑），持续迭代演进。支持博客、社交媒体、观点文章等场景。
my-personality-c
by crystal-project-inc
"Personality-tuned AI for the C (The Analyst) DISC type. Adapts AI tone, structure, and feedback to be precise, detail-oriented, and quality-focused. Powered by Crystal's DISC framework."
communicate-with-s-c
by crystal-project-inc
"Communication coaching for working with an SC (The Stabilizer) DISC type — consistent, thorough, practical. Covers do's, don'ts, meetings, email, feedback, and conflict. Powered by Crystal's DISC framework."
my-personality-si
by crystal-project-inc
"Personality-tuned AI for the Si (The Collaborator) DISC type. Adapts AI tone, structure, and feedback to be cooperative, diplomatic, and steady. Powered by Crystal's DISC framework."
my-personality-s
by crystal-project-inc
"Personality-tuned AI for the S (The Supporter) DISC type. Adapts AI tone, structure, and feedback to be patient, reliable, and team-oriented. Powered by Crystal's DISC framework."
my-personality-di
by crystal-project-inc
"Personality-tuned AI for the Di (The Driver) DISC type. Adapts AI tone, structure, and feedback to be bold, competitive, and action-oriented. Powered by Crystal's DISC framework."
aptos-gas-optimization
by raintree-technology
Aptos gas optimization expert for Move smart contracts. Covers storage costs, execution efficiency, inline functions, aggregators for parallel execution, Table vs SmartTable vs vector tradeoffs, event optimization, struct packing, and gas profiling tools.
quality-assurance
by nahisaho
Copilot agent that assists with comprehensive QA strategy and test planning to ensure product quality through systematic testing and quality metrics Trigger terms: QA, quality assurance, test strategy, QA plan, quality metrics, test planning, quality gates, acceptance testing, regression testing Use when: User requests involve quality assurance tasks.
performance-optimizer
by nahisaho
Copilot agent that assists with performance analysis, bottleneck detection, optimization strategies, and benchmarking Trigger terms: performance optimization, performance tuning, profiling, benchmark, bottleneck analysis, scalability, latency optimization, memory optimization, query optimization Use when: User requests involve performance optimizer tasks.
aasm-algorithmic-agent-state-machine
by halthinks
Use AASM to structure durable, domain-neutral multi-step work with explicit state, profile packages, conflict learning, evidence, authority, recovery, resources, models, workers, effects, and observability.
multi-agent-patterns
by EricGrill
This skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple agents", or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution.
webgl-expert
by ronnycoding
Expert guide for WebGL API development including 3D graphics, shaders (GLSL), rendering pipeline, textures, buffers, performance optimization, and canvas rendering. Use when working with WebGL, 3D graphics, canvas rendering, shaders, GPU programming, or when user mentions WebGL, OpenGL ES, GLSL, vertex shaders, fragment shaders, texture mapping, or 3D web graphics.
analyzing-financial-statements
by ronnycoding
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
acceptance-inline-probe
by jeong-sik
"Acceptance campaign fixture. Reads board statistics and your execution lane at the same time, then searches board posts for the lane profile that the lane read returned and shows at most one matching post as one line, all inside this turn. Call it only when a mission prompt names it."
glean
by robabby
Surface emergent patterns and insights from memory
hydrate
by robabby
Load context from Obsidian memory system at session start
product-management
by ProjAnvil
Expertise in product management lifecycle, from ideation to launch. Covers requirements gathering, user story creation, prioritization, and product strategy. Use this skill for product planning, writing PRDs, defining MVPs, or competitive analysis.
prompt-engineering
by alunadev
Expert prompt optimization system for building production-ready AI features. Use when users request help improving prompts, want to create system prompts, need prompt review/critique, ask for prompt optimization strategies, want to analyze prompt effectiveness, mention prompt engineering best practices, request prompt templates, or need guidance on structuring AI instructions. Also use when users provide prompts and want suggestions for improvement.
agent-conversation-protocols
by curiositech
Conversation patterns and interaction protocols for multi-agent systems. Covers request/response, pub/sub, blackboard, delegation chains, debate, critique, consensus, fan-out/fan-in, supervisor-worker, and peer negotiation. Deep analysis of AutoGen conversation patterns, CrewAI delegation, LangGraph state passing, and FIPA-ACL performatives. Teaches how to design what agents say to each other and in what order. Activate on: "agent conversation", "agent protocol", "multi-agent debate", "agent delegation", "supervisor worker pattern", "agent voting", "consensus protocol", "fan-out fan-in", "agent negotiation", "blackboard pattern", "agent dialogue", "conversation topology", "agent handoff". NOT for: wire format or serialization (use agent-interchange-formats), orchestration infrastructure (use agentic-infrastructure-2026), single agent behavior (use agentic-patterns).