Performance
Performance profiling and optimization
webflow-browser-api
by 224-Industries
Control Webflow Analyze and Optimize from JavaScript via the Browser API. Use when managing tracking consent, integrating CMPs (OneTrust, TrustArc), tracking experiment variations, setting custom visitor attributes, or personalizing user experiences.
consciousness-soul-identity
by live-neon
Discover who you're becoming through your own experience. Automated soul synthesis that reads your memory, finds the patterns you keep returning to, and builds an identity document grounded in evidence — not assumptions.
performance-scaling
by bejranonda
Cross-model performance optimization and scaling configurations for autonomous agents
comparison-report
by dozybot001
Produce comparison reports between two or more options (technologies, approaches, products). Use when task involves comparing, evaluating alternatives, or making recommendations. Output typically includes criteria, comparison table, pros/cons, and recommendation.
literature-synthesis
by dozybot001
Synthesize literature, findings, or multiple sources into a coherent report. Use when task involves literature review, synthesizing research, or combining multiple inputs into themes and conclusions.
coding
by sebnow
"Use when implementing code changes. Enforces production-grade principles: pragmatism, domain awareness, clarity, performance, correctness. Triggers: implementing features/fixes, refactoring, writing new code, bug fixes."
cpp-to-dafny-translator
by ArabelaTso
Translate C/C++ programs to equivalent Dafny code while preserving semantics and ensuring verification. Use when users ask to convert, translate, or port C/C++ code to Dafny, or when they need to formally verify C/C++ algorithms using Dafny's verification capabilities. Handles functions, structs, pointers, arrays, memory management, and ensures the generated Dafny code is well-typed, executable, verifiable, and can successfully run.
portfolio-project-architect
by ChunkyTortoise
"Transform service catalog into high-ticket portfolio assets with memory-persistent scoping and optimized Auto Claude handoff generation"
Taking an idea to implementable prototype
by bfollington
ac-config-manager
by adaptationio
Configuration management for autonomous coding. Use when loading settings, managing environment variables, configuring providers, or setting up autonomous mode options.
vercel-react-best-practices
by ocrbase-hq
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
VCR Skill — AI Agent Reference
by coltonbatts
Always validate with check before rendering. It catches schema errors, expression errors, and missing references instantly without the cost of GPU initialization.
coding-standards
by ludo-technologies
Python coding standards and best practices for AI coding agents
agent-memory-mcp
by ranbot-ai
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
performance-benchmark-specialist
by manutej
Performance benchmarking expertise for shell tools, covering benchmark design, statistical analysis (min/max/mean/median/stddev), performance targets (<100ms, >90% hit rate), workspace generation, and comprehensive reporting
🧠 Memory System Skill
by wasintoh
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scalability-playbook
by patricio0312rev
Identifies performance bottlenecks and provides ordered scaling strategies with triggers, phased plans, and cost implications. Use for "scalability planning", "performance bottlenecks", "capacity planning", or "growth strategy".
memory-defrag
by basicmachines-co
"Defragment and reorganize agent memory files: split bloated files, merge duplicates, remove stale information, and restructure the memory hierarchy. Use when memory files have grown unwieldy, contain redundancies, or need reorganization. Run periodically (weekly) or on demand."
memory-ingest
by basicmachines-co
"Process unstructured external input (meeting transcripts, conversation logs, pasted documents) into structured Basic Memory entities. Extracts entities, searches for existing matches, proposes new entities with approval, creates notes with observations and relations, and captures action items."
memory-lifecycle
by basicmachines-co
"Manage entity status transitions in Basic Memory: archive completed work, move notes between status folders, update frontmatter, and handle edge cases. Use when marking items complete, archiving old entities, or managing any folder-based status workflow."
memory-reflect
by basicmachines-co
"Sleep-time memory reflection: review recent conversations and daily notes, extract insights, and consolidate into long-term memory. Use when triggered by cron, heartbeat, or explicit request to reflect on recent activity. Runs as background processing to improve memory quality over time."
memory-notes
by basicmachines-co
"How to write well-structured Basic Memory notes: frontmatter, observations with semantic categories, relations with wiki-links, and best practices for building a rich knowledge graph. Use when creating or improving notes."
resume-updater
by Aznatkoiny
Conversational skill that interviews the user to capture professional experience and build/update their career-profile.json. Use when the user says "update my resume", "add my recent experience", "refresh my profile", "capture my work history", "build my resume", "add a new job to my resume", or wants to create or modify their professional profile data. When to Use: - User wants to add new experience, skills, projects, or achievements - User wants to create their career profile from scratch - User wants to update existing profile entries - User mentions they changed jobs, got promoted, or completed a project When NOT to Use: - User wants to generate/format a resume (use /resume-generator command) - User wants career advice (use career-director agent) - User wants to search for jobs (use job-search agent)
gpu-training-acceleration
by dongzhuoyao
Use when optimizing PyTorch training speed or memory on CUDA GPUs — global flags, torch.compile, fused optimizers, mixed precision, gradient checkpointing, kernel fusion, memory layout, or latent-space training. Applies to any PyTorch training workload. Triggers: "torch.compile", "TF32", "fused optimizer", "mixed precision", "bf16", "fp16", "gradient checkpointing", "Triton kernel", "CUDA flags", "GPU slow", "GPU memory"