Performance
Performance profiling and optimization
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."
context-engineering
by siviter-xyz
Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evaluating agent performance, or developing LLM-powered pipelines. Covers context fundamentals, degradation patterns, optimization techniques, compression strategies, memory architectures, multi-agent patterns, evaluation, tool design, and project development.
pmf-survey
by wdavidturner
Use when asked to "PMF survey", "measure product-market fit", "40% rule", "Sean Ellis test", "Rahul Vohra method", or "how disappointed would you be". Helps quantify product-market fit and systematically improve it. The PMF Survey framework (created by Sean Ellis, popularized by Rahul Vohra at Superhuman) measures how disappointed users would be without your product and turns that data into a roadmap.
shape-up
by wdavidturner
Use when asked to "shape up", "run a shaping session", "set an appetite", "scope a project without estimates", "betting table", or "ship in fixed cycles". Helps teams escape estimate-driven development and Scrum fatigue. The Shape Up method (created by Ryan Singer at Basecamp/37signals) uses fixed time boxes, variable scope, and collaborative shaping to ship meaningful work predictably.
skill-memory
by memodb-io
Use skill-memory to download, view and edit agent skills in memory. TRIGGER by 'skill', 'memory', 'learn'.
benchclaw - openclaw-benchmark
by BenchClaw
BenchClaw - OpenClaw Agent benchmark scoring tool. Benchmark 跑分 评测 打分. BenchClaw是专业级 OpenClaw Agent 性能评测框架。它专注于对 AI Agent 进行多维度、 自动化的量化评估与能力基准测试，集成了任务分发、精准评分、可视化报表生成及热更新功能。 当需要量化 Agent 的推理规划、响应速度、Token 成本及安全性时使用。 用户意图/指令：跑分、跑个分、运行基准测试、评估 Agent 表现、生成评测报告、分析 Token 消耗。 技术关键词：跑分、跑个分、Agent 评测、基准测试、自动化打分、量化评估、性能报告、Token 成本、 TPS、OpenClaw。 BenchClaw is the "AnTuTu" for OpenClaw Agents—a professional-grade automated benchmarking framework. It provides multi-dimensional evaluation (Capability, Config, Security, Hardware, Permission) through automated task execution, precision scoring, and detailed report generation. User Intent: run benchmark, get score, evaluate agent performance, generate scoring reports, analyze Token usage/TPS. Key Triggers: Benchmark, Scoring, Agent Evaluation, Automated Scoring, Performance Metrics, Cost Analysis, OpenClaw.
metrillm
by MetriLLM
Benchmark local LLM models — measures performance (tok/s, TTFT, memory), quality (reasoning, math, coding, instruction following, structured output, multilingual), and computes a hardware fitness verdict. Works with Ollama.
radical-candor
by wdavidturner
Use when asked to "radical candor", "give feedback that cares", "have a difficult conversation", "challenge directly", "manage performance issues", or "give praise that lands". Helps deliver direct feedback while showing you care. The Radical Candor framework (created by Kim Scott) teaches how to challenge directly while caring personally.
influencer-marketing-paid
by dmend3z
This skill helps you create and execute paid influencer marketing campaigns. Use it to identify influencers, develop content strategies, and measure campaign performance.
media-planning-and-buying
by dmend3z
"This skill transforms Claude into a media planning and buying specialist. Use it to create data-driven, cross-channel media plans that maximize ROI. Triggers: media plan, buying strategy, ad campaign, ROI."
angular-best-practices-legacy
by develite98
Angular 12-16 performance optimization guidelines with NgModules, RxJS patterns, and classic template syntax (*ngIf, *ngFor). Use when maintaining or working with pre-v17 Angular codebases. Triggers on tasks involving Angular components, services, modules, or performance improvements in legacy projects.
swift-quiz
by ITlearning
Adaptive Swift/iOS quiz with two modes. Classic is lighter, Mastery requires mechanism-level reasoning.
angular-best-practices-v20
by develite98
Angular 20+ performance optimization guidelines with Signals, httpResource, signal inputs/outputs, @defer, and native control flow (@if, @for). Use when writing, reviewing, or refactoring modern Angular code. Triggers on tasks involving Angular components, services, data fetching, bundle optimization, or performance improvements.
authentication-authorization-vulnerabilities-ai-code
by harperaa
Understand authentication and authorization defects in AI-generated code including insecure password storage, broken session management, and access control bypasses. Use this skill when you need to learn about auth vulnerabilities in AI code, understand why AI suggests MD5/plaintext passwords, recognize broken session patterns, or identify access control gaps. Triggers include "auth vulnerabilities AI", "password storage AI", "session management", "broken access control", "authentication defects", "MD5 passwords", "session hijacking", "authorization bypass".
build-iphone-apps
by mosif16
Build professional native iPhone apps in Swift with SwiftUI and UIKit. Full lifecycle - build, debug, test, optimize, ship. CLI-only, no Xcode. Targets iOS 26 with iOS 18 compatibility.
moai-lang-swift
by mosif16
Swift 6.0 enterprise development with async/await, SwiftUI, Combine, and Swift Concurrency. Advanced patterns for iOS, macOS, server-side Swift, and enterprise mobile applications with Context7 MCP integration.
build-macos-apps
by mosif16
Build professional native macOS apps in Swift with SwiftUI and AppKit. Full lifecycle - build, debug, test, optimize, ship. CLI-only, no Xcode.
wide-events
by front-depiction
Conceptual guide to wide events (canonical log lines) for observability. Use when thinking about instrumentation strategy, span annotations, or designing what context to capture.
Memory Management Skill
by front-depiction
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ibm-mainframe
by DauQuangThanh
Provides comprehensive IBM Mainframe administration, development, and modernization guidance including z/OS operations, JCL scripting, COBOL/PL/I programming, CICS/IMS configuration, DB2 administration, TSO/ISPF usage, system programming, batch processing, and mainframe-to-cloud migration strategies. Covers mainframe security (RACF, ACF2), performance tuning, capacity planning, disaster recovery, and DevOps integration. Use when working with mainframe systems, z/OS, JES2/JES3, VTAM, USS, or when users mention "mainframe", "z/OS", "MVS", "TSO", "ISPF", "JCL", "CICS", "IMS", "DB2 mainframe", "VSAM", "RACF", "mainframe modernization", "legacy mainframe", or "IBM z Systems".
bug-analysis
by DauQuangThanh
Analyzes software bugs including root cause identification, severity assessment, impact analysis, reproduction steps validation, and fix recommendations. Performs bug triage, categorization, duplicate detection, and regression analysis. Use when investigating bugs, analyzing crash reports, triaging issues, debugging problems, reviewing error logs, or when users mention "analyze bug", "investigate issue", "debug problem", "bug report", "crash analysis", "root cause analysis", or "fix recommendation".
computer-scientist-analyst
by Zpankz
Analyzes events through computer science lens using computational complexity, algorithms, data structures, systems architecture, information theory, and software engineering principles to evaluate feasibility, scalability, security. Provides insights on algorithmic efficiency, system design, computational limits, data management, and technical trade-offs. Use when: Technology evaluation, system architecture, algorithm design, scalability analysis, security assessment. Evaluates: Computational complexity, algorithmic efficiency, system architecture, scalability, data integrity, security.