Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: concurrent

英語版ディレクトリ

LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data analytics on cloud storages for both BI and AI applications.

3.2K
Stars
83/100
信頼
カテゴリ: data-analysis監査

Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.

25K
Stars
77/100
信頼
カテゴリ: engineering / code quality監査

Use when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).

25K
Stars
83/100
信頼
カテゴリ: research監査

Official AHE code — Agentic Harness Engineering: observability-driven automatic evolution of coding-agent harnesses (concurrent w/ meta-harness). NexAU-AHE reaches 84.7% ± 2.1 pass@1 on Terminal-Bench 2 (GPT-5.5). Lifts GPT-5.4 69.7→77.0% over 10 iters, beats Codex/ACE/Training-Free GRPO; frozen harness transfers to SWE-bench-Verified.

600
Stars
69/100
信頼
カテゴリ: coding-agents監査

Polite, slim and concurrent web crawler.

2.1K
Stars
69/100
信頼
カテゴリ: web-automation監査

[爬虫框架 (golang)] An awesome Go concurrent Crawler(spider) framework. The crawler is flexible and modular. It can be expanded to an Individualized crawler easily or you can use the default crawl components only.

1.8K
Stars
70/100
信頼
カテゴリ: web-automation監査

Implements GraphQL APIs in Golang using gqlgen or graphql-go. Apply when building GraphQL servers, designing schemas, writing resolvers, handling subscriptions, or integrating GraphQL with existing Go HTTP services. Also apply when the codebase imports `github.com/99designs/gqlgen` or `github.com/graph-gophers/graphql-go`.

3.0K
Stars
72/100
信頼
カテゴリ: design-creative監査

Golang concurrency patterns. Use when writing or reviewing concurrent Go code involving goroutines, channels, select, locks, sync primitives, errgroup, singleflight, worker pools, or fan-out/fan-in pipelines. Also triggers when you detect goroutine leaks, race conditions, channel ownership issues, or need to choose between channels and mutexes.

3.0K
Stars
74/100
信頼
カテゴリ: coding-agents監査

Idiomatic context.Context usage in Golang — propagation through API boundaries, cancellation, timeouts and deadlines, request-scoped values, context.WithoutCancel for background work outliving requests. Apply when designing context propagation across layers, debugging leaked or unexpired contexts, choosing between context.Background/TODO/WithoutCancel, or storing values in context. Not for code that merely accepts ctx as first parameter.

3.0K
Stars
73/100
信頼
カテゴリ: design-creative監査

Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI benchmark regression detection, or investigating production performance with Prometheus runtime metrics. Also use when the developer needs deep analysis on a specific performance indicator - this skill provides the measurement methodology, while `samber/cc-skills-golang@golang-performance` provides the optimization patterns.

3.0K
Stars
67/100
信頼
カテゴリ: research監査

A Claude Skill that automates post-launch website QA, auditing SEO, security, accessibility, performance, and more, then generates fixes and re-tests.

38
Stars
69/100
信頼
カテゴリ: utility監査

🧠 AI Agent skills for LLMs and AI Agents - Claude, Codex, Cursor etc.

14
Stars
64/100
信頼
カテゴリ: utility監査