Spielewoy/autoprompt-skill1.2kautoprompt
Run explicitly requested Autoprompt v2 work through the private controller. Ordinary coding and review requests do not activate this skill.
搜索文档、Skill 和 MCP
「扩展智能体」分类共 662 个 Skill,按仓库 star 排序。分类自动生成,仅供参考。
Spielewoy/autoprompt-skill1.2kRun explicitly requested Autoprompt v2 work through the private controller. Ordinary coding and review requests do not activate this skill.
Spielewoy/autoprompt-skill1.2kRun explicitly requested Autoprompt v2 work through the private controller. Ordinary coding and review requests do not activate this skill.
Spielewoy/autoprompt-skill1.2kRun explicitly requested Autoprompt v2 work through the private controller. Ordinary coding and review requests do not activate this skill.
Spielewoy/autoprompt-skill1.2kRun explicitly requested Autoprompt v2 work through the private controller. Ordinary coding and review requests do not activate this skill.
Spielewoy/autoprompt-skill1.2kRun explicitly requested Autoprompt v2 work through the private controller. Ordinary coding and review requests do not activate this skill.
Spielewoy/autoprompt-skill1.2kRun explicitly requested Autoprompt v2 work through the private controller. Ordinary coding and review requests do not activate this skill.
Spielewoy/autoprompt-skill1.2kRun explicitly requested Autoprompt v2 work through the private controller. Ordinary coding and review requests do not activate this skill.
Spielewoy/autoprompt-skill1.2kRun explicitly requested Autoprompt v2 work through the private controller. Ordinary coding and review requests do not activate this skill.
Spielewoy/autoprompt-skill1.2kRun explicitly requested Autoprompt v2 work through the private controller. Ordinary coding and review requests do not activate this skill.
dpearson2699/swift-ios-skills1.2kBuild private, on-device AI features on iPhone, iPad, and Mac with Foundation Models, Core ML, MLX Swift, or llama.cpp. Use when choosing an Apple-local model runtime, building an Apple Intelligence chatbot or tool-calling feature, running an LLM on Apple Silicon, converting or compressing a Python model for Core ML, or comparing on-device inference backends. For Swift Core ML loading and prediction code, use the coreml skill.
fcakyon/claude-codex-settings1.2kThis skill should be used when the user asks for "ADHD output", "fewer output tokens", "short numbered steps", "limited working memory formatting", or explicitly invokes "adhd-output-style".
fcakyon/claude-codex-settings1.2kThis skill should be used when the user asks for a "GPT second opinion", wants a "cross-model review", needs to "check a plan before committing", wants another view after repeated failures, or explicitly invokes "codex-advisor".
alibaba/skill-up1.2kTriggered when the user needs to organize project files, analyze directory structure, or generate a project report. Use MCP tools to read file contents and produce a structured organization report. Trigger phrases include "help me organize this project", "look at the directory structure", "generate a project summary".
alibaba/skill-up1.2kA skill with potentially flaky behavior for testing retry
alibaba/skill-up1.2kPer-case mocked MCP override smoke skill used by skill-up e2e tests.
alibaba/skill-up1.2kMCP mocked marker smoke skill used by skill-up e2e tests.
alibaba/skill-up1.2kMCP stdio marker smoke skill used by skill-up e2e tests.
alibaba/skill-up1.2kVerify Sandbox MCP can be installed and called from skill-up.
alibaba/skill-up1.2kCapture and review Agent Skill observations, and create, run, diagnose, or iteratively improve Skill evaluations (evals) with the skill-up CLI. Use when the user asks to record explicitly attributed Skill usage or feedback; review observations; turn an approved observation into a regression case; evaluate, test, regress, verify, fix, improve, iterate, or evolve a Skill; add or strengthen eval cases; write eval.yaml/case.yaml; run skill-up run/validate/list-cases/report/import/init; or migrate from Anthropic evals.json. Observation capture and review require either the Codex skill-up plugin or an observer-enabled DSH skill-up plugin; evaluation remains multi-engine.
BagelHole/DevOps-Security-Agent-Skills1.2kOrchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster. Build reliable, observable, and retriable workflows for production AI systems.
BagelHole/DevOps-Security-Agent-Skills1.2kImplement multi-layer LLM caching with exact match, semantic similarity, and provider-side prompt caching. Reduce API costs by 30–70%, cut latency, and improve throughput using Redis, GPTCache, and provider caching APIs.
BagelHole/DevOps-Security-Agent-Skills1.2kReduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies. Track spend by team and model, set budgets, and implement cost-aware routing.
MoizIbnYousaf/ai-agent-skills1.1kUse when checking the overall health of a skills library. Run doctor, validate, check for stale skills, and verify generated docs are in sync.
MoizIbnYousaf/ai-agent-skills1.1kTransforms vague prompts into optimized Claude Code prompts. Adds verification, specific context, constraints, and proper phasing. Invoke with /best-practices.