Rendiment
Anàlisi i optimització del rendiment
ai-era-career-planner
mnetfairy
AI时代职业规划师技能。专为AI时代职场变化而设计，帮助用户应对AI带来的职业冲击与机遇。当用户询问职业规划、职业建议、选专业、职场转型、未来就业方向时触发。功能包括：收集用户基本信息、霍兰德职业兴趣测评、职业价值观分析、AI时代职业影响评估（高危/中危/低危分级），并输出完整的个性化职业规划报告。关键词：职业规划、选专业、工作建议、做什么工作好、职业转型、AI时代职业、AI替代、哪些工作会被AI取代。
ti-expert
macCesar
"Titanium SDK architecture and implementation expert. Use when designing, reviewing, analyzing, or examining Titanium project structure (Alloy or Classic), creating controllers/views/services, choosing models vs collections, implementing communication patterns, handling memory cleanup, testing, auditing code, or migrating legacy apps. Automatically identifies project type."
ct-c-style
experiencenow-ai
C coding style for Tockchain/Valis firmware development. Use when writing, reviewing, or modifying C code for this project. Enforces compact Allman bracing, stdint types, zero-copy wire structs, dependency-ordered functions, unique negative error codes, and high-performance patterns. Triggers on any C code generation, editing, or review request.
machine-learning
pluginagentmarketplace
Supervised/unsupervised learning, model selection, evaluation, and scikit-learn. Use for building classification, regression, or clustering models.
sakthai-learning-patterns
beer-sakthai
Promote recurring observations into stated facts.
load
laststance
Load project context from Serena MCP memory for session initialization. Discovers memories, reads project overview and critical rules, and validates context sufficiency. Portable across all Serena-enabled agents (Claude Code, Cursor, Windsurf, etc.). Use when: starting a session, resuming work, or needing project context. Keywords: session, load, initialize, context, memory, restore, resume
go-concurrency
spjoshis
Master Go concurrency with goroutines, channels, select, sync primitives, and patterns for building concurrent applications.
opentui-design
akiojin
"Comprehensive toolkit for designing and implementing CLI applications with OpenTUI and SolidJS. Use when building CLI screens/components, debugging input handling, implementing screen navigation, handling mouse events, or optimizing CLI performance."
backend-principle-eng-python-ml-pro-max
PrakharMNNIT
"Principal backend engineering intelligence for Python AI/ML systems. Actions: plan, design, build, implement, review, fix, optimize, refactor, debug, secure, scale ML services and pipelines. Focus: data quality, reproducibility, reliability, performance, security, observability, model evaluation, MLOps."
voice-processing
SpiralCloudOmega
AI-powered vocal processing including pitch correction, isolation, noise reduction, and harmony generation
run-analysis
tycenjmccann
Full ANALYZE-mode playbook — post-run workflow analysis. The assessment rubric (planning, execution, human-in-the-loop, rework, deliverables, trend), the exact analysis.json schema save_analysis.py requires, and the knowledge-file curation step. Load on every ANALYZE invocation, and for CHAT deep-dives into how a run performed.
codereview-correctness
xinbenlv
Analyze code for logic bugs, error handling issues, and edge cases. Detects off-by-one errors, null handling, race conditions, and incorrect error paths. Use when reviewing core business logic or complex algorithms.
perf-virtual-lists
dbobkov245-source
Specialist in high-performance list virtualization for Android TV (React).
postgres
alemar11
Connect to Postgres databases, run queries/diagnostics, and search official PostgreSQL docs only when explicitly requested.
model-eval
molotroka123-cell
Benchmark and validate a local or cloud model for real BOSSMAN roles, measuring speed, memory, capabilities, tool use, context behavior, stability, and cost rather than relying only on public benchmarks.
codereview-performance
xinbenlv
Performance and scalability analysis specialist. Identifies algorithmic inefficiencies, N+1 queries, memory leaks, and concurrency issues. Use when reviewing loops, database queries, file I/O, or high-concurrency code.
performance-audit
serkan-ozal
Analyze web and backend performance using Web Vitals, network timing, and Node.js metrics. Use when the user asks about page performance, load times, Core Web Vitals (LCP, CLS, INP), slow pages, backend bottlenecks, or SEO performance factors.
llm-training
eyadsibai
Use when "training LLM", "finetuning", "RLHF", "distributed training", "DeepSpeed", "Accelerate", "PyTorch Lightning", "Ray Train", "TRL", "Unsloth", "LoRA training", "flash attention", "gradient checkpointing"
backend-principle-eng-nodejs-pro-max
PrakharMNNIT
"Principal backend engineering intelligence for Node.js runtime systems. Actions: plan, design, build, implement, review, fix, optimize, refactor, debug, secure, scale backend code and architectures. Focus: correctness, reliability, performance, security, observability, scalability, operability, cost."
agent-guard
astecka-m
Real-time prompt injection detection and sanitization for AI agents. Protects against Clinejection-style attacks, command injection, and malicious prompt manipulation. Works as both OpenClaw skill and Claude MCP server.
dask
eyadsibai
Use when "Dask", "parallel computing", "distributed computing", "larger than memory", or asking about "parallel pandas", "parallel numpy", "out-of-core", "multi-file processing", "cluster computing", "lazy evaluation dataframe"
ti-guides
macCesar
"Titanium SDK official fundamentals and configuration guide. Use when working with, reviewing, analyzing, or examining Titanium projects, Hyperloop native access, app distribution (App Store/Google Play), tiapp.xml configuration, CLI commands, memory management, bridge optimization, CommonJS modules, SQLite transactions, or coding standards. Applies to both Alloy and Classic projects."
war-governance-profiler
OttawaCloudConsulting
"Reads docs/TENANT_PROFILE.md and produces a WAR-specific governance baseline. Maps tenant-level controls (SCPs, guardrails, centralized services, compliance baselines) to the 6 AWS WAF pillars. Identifies inherited controls vs workload responsibilities. Uses AskUserQuestion to resolve gaps."
prompt-engineering-expert
TomsTools11
Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents