Rendiment

Anàlisi i optimització del rendiment

Skills: 1945–1968 de 2974
tomwangowa

role-orchestrator

tomwangowa

Orchestrates a multi-role development pipeline (PM → RD) using subagent dispatch. Reads project-profile.yaml to calibrate role behavior by project size. Each role runs in an isolated subagent to prevent context pollution. Includes gate checks for user approval between phases. Triggered by "role orchestrator", "multi-role pipeline", "PM then RD", "start role pipeline", or "orchestrate roles".

Revisió de codi 2 fa 7 mesos
texugo7badger

benchmark-optimization-loop

texugo7badger

Use when the user asks to make something faster, try many variants, run recursive optimization, benchmark latency/throughput/cost, or choose the best implementation by repeated measured tests.

Finances 2 fa 26 d
andreaserradev-gbj

dev-wrapup

andreaserradev-gbj

Review the current session for learnings and self-improvement signals. Surfaces memory candidates and improvement opportunities for user-confirmed application.

Autenticació 2 fa 8 mesos
G-Eskayo

route

G-Eskayo

Classify a task and surface the optimal Claude profile + model routing decision

Eines de línia d’ordres 2 fa 3 mesos
topmindspace

topmind-ledger

topmindspace

通用记账到记忆平面(默认个人/自己账本,用户自建账本与分类)。Use when 记账、记一笔、花了、存入、查看账单、账户余额。 Do NOT use for 记一下到动态、待办、微信读书、发推、Feishu/lark-cli.

Finances 2 fa 1 mes
zircote

databases

zircote

Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queries and aggregations, optimizing indexes for performance, performing database migrations, configuring replication and sharding, implementing backup and restore strategies, managing database users and permissions, analyzing query performance, or administering production databases.

Processament de dades 25 fa 10 mesos
getsentry

sentry-setup-tracing

getsentry

Setup Sentry Tracing (Performance Monitoring) in any project. Use when asked to enable tracing, track transactions/spans, measure latency, or add performance monitoring. Supports JavaScript, Python, and Ruby.

Desenvolupament d’API 25 fa 8 mesos
joabgonzalez

react

joabgonzalez

"Modern React with hooks and functional components. Trigger: When creating components, implementing hooks, managing state, or optimizing."

Rendiment 9 fa 8 mesos
ai-ecoverse

welcome

ai-ecoverse

Use this when you receive a <lick channel="sprinkle" source="sprinkle:welcome"> with the action onboarding-complete, sent once when the user finishes the welcome card. Covers the reply it expects.

Rendiment 0 fa 16 d
joabgonzalez

javascript

joabgonzalez

"Modern JavaScript (ES2020+) patterns. Trigger: When writing JavaScript code, using ES2020+ features, or refactoring legacy JS."

Processament de dades 9 fa 8 mesos
89jobrien

performance

89jobrien

Comprehensive performance specialist covering analysis, optimization,

Bases de dades 4 fa 10 mesos
kbrdn1

estimate

kbrdn1

Provide development estimates for tasks, features, or projects with intelligent analysis

Rendiment 4 fa 1 mes
89jobrien

database-optimization

89jobrien

SQL query optimization and database performance specialist. Use when

Bases de dades 4 fa 10 mesos
kbrdn1

cleanup-context

kbrdn1

Optimize memory bank files by removing duplicates, consolidating content, and archiving obsolete documentation

Operacions amb fitxers 4 fa 1 mes
basicmachines-co

memory-defrag

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."

Operacions amb fitxers 23 fa 8 mesos
basicmachines-co

memory-ingest

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."

Generació de codi 23 fa 8 mesos
89jobrien

golang-performance

89jobrien

Go performance optimization techniques including profiling with pprof,

Desenvolupament d’API 4 fa 10 mesos
89jobrien

nextjs-architecture

89jobrien

Next.js architecture specialist. Use when designing Next.js applications,

Bases de dades 4 fa 10 mesos
markpitt

kiss-principle

markpitt

Apply the K.I.S.S principle (Keep It Simple, Stupid) to reduce complexity, improve maintainability, and solve problems elegantly. Use when designing systems, writing code, planning solutions, creating documentation, architecting features, or making decisions where simplicity drives quality and efficiency.

Generació de codi 23 fa 10 mesos
89jobrien

prompt-optimization

89jobrien

Expert prompt optimization for LLMs and AI systems. Use when building

Agents 4 fa 10 mesos
basicmachines-co

memory-lifecycle

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."

Analítica 23 fa 8 mesos
basicmachines-co

memory-reflect

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."

Automatització 23 fa 8 mesos
basicmachines-co

memory-notes

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."

Desenvolupament d’API 23 fa 8 mesos
siviter-xyz

context-engineering

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.

Agents 22 fa 9 mesos