Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
47,966 skills from 2,309 repositories · updated 3 hours ago
10,104 skills
- agavemembranedev/application-skillsAgave integration. Manage data, records, and automate workflows. Use when the user wants to interact with Agave data.OtherNo warnings★ 270↓ —
- single-cell-annotationjaechang-hits/SciAgent-SkillsBest practices for single-cell RNA-seq cell type annotation including marker-based, reference-based, and automated classification approaches.OtherNo warnings★ 384↓ —
- bun-runtimemturac/everything-openai-codexランタイムとしてのBun、パッケージマネージャー、バンドラー、テストランナー。Bun対Nodeを選択する場合、移行メモ、Vercelサポート。OtherNo warnings★ 83↓ —
- qiskitlingxling/awesome-skills-cnQiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimize for hardware, execute on simulators or real quantum computers, and analyze results. Supports IBM Quantum (100+ qubit systems), IonQ, Amazon Braket, and other providers.OtherNo warnings★ 326↓ —
- skill-scoutmturac/everything-openai-codex新しいスキルを作成する前に、ローカル・マーケットプレイス・GitHub・Webの既存スキルを検索する。スキルの作成・ビルド・フォーク・検索を行う際に使用。OtherNo warnings★ 83↓ —
- dmux-workflowsmturac/everything-openai-codexMulti-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across OpenAI Codex, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.OtherNo warnings★ 83↓ —
- agent-evalmturac/everything-openai-codex编码代理（OpenAI Codex、Aider、Codex等）在自定义任务上的直接比较，包含通过率、成本、时间和一致性指标OtherNo warnings★ 83↓ —
- exa-searchmturac/everything-openai-codex通过Exa MCP进行神经搜索，适用于网络、代码和公司研究。当用户需要网络搜索、代码示例、公司情报、人员查找，或使用Exa神经搜索引擎进行AI驱动的深度研究时使用。OtherNo warnings★ 83↓ —
- auditglebis/claude-skillsRun a corpus-scale, STATS-ONLY PII audit over a folder of session transcripts LOCALLY and produce an aggregate report — counts by type and by layer, the per-session redaction-rate distribution, document lengths, and a coarse residual proxy. Use when the user says "audit my sessions", "scan folder for PII", "how much PII across these transcripts", "PII stats for my corpus", "is my redaction holding at scale", or points at a directory of transcripts and asks how much personal data it contains. Fully local — raw text never leaves the machine; the report carries ZERO PII values, transcript substrings, or filenames (only anonymized own-NN ids and counts), so the aggregates are safe to surface. Run it on a RED (raw) corpus to size the PII, or on a GREEN (already-redacted) corpus to check residual leakage.OtherNo warnings★ 403↓ —
- continuous-agent-loopmturac/everything-openai-codexPatterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.OtherNo warnings★ 83↓ —
- vaultglebis/claude-skillsSet up and verify the CONFIDE THREE LOCKS for storing RED (real, identifiable) session data at rest — device FileVault, a dedicated encrypted store, and per-file sops/age encryption. Use when the user says "set up confide vault", "encrypt my session data", "three locks", "secure store for transcripts", "sops/age for RED data", or asks how to store real therapy/coaching transcripts safely. NON-DESTRUCTIVE: it CHECKS each lock's status and prints the EXACT command to fix any gap; it never moves, deletes, or encrypts data, and never runs `fdesetup enable`/`hdiutil`/`age-keygen` without an explicit flag and your confirmation. Probes are read-only (`fdesetup status`, which sops/age, key path).OtherNo warnings★ 403↓ —
- agent-sortmturac/everything-openai-codex通过将技能、命令、规则、钩子和额外内容并行进行仓库感知审查，为特定仓库构建基于证据的 ecc 安装计划，将其分为 DAILY 和 LIBRARY 两类。当 ecc 应精简为项目实际所需而非加载完整包时使用。OtherNo warnings★ 83↓ —
- ahamembranedev/application-skillsAha! integration. Manage data, records, and automate workflows. Use when the user wants to interact with Aha! data.OtherNo warnings★ 270↓ —
- acfmembranedev/application-skillsACF integration. Manage data, records, and automate workflows. Use when the user wants to interact with ACF data.OtherNo warnings★ 270↓ —
- agentic-osmturac/everything-openai-codexOpenAI Codex 上に永続的なマルチエージェントオペレーティングシステムを構築します。カーネルアーキテクチャ、スペシャリストエージェント、スラッシュコマンド、ファイルベースのメモリ、スケジュールされた自動化、外部データベースなしの状態管理をカバーします。OtherNo warnings★ 83↓ —
- agent-sortmturac/everything-openai-codex並行リポジトリ対応のレビューパスを使用して、スキル、コマンド、ルール、フック、エクストラを DAILY と LIBRARY のバケットに分類することで、特定のリポジトリ向けのエビデンスに基づいた ecc インストール計画を構築します。プロジェクトが完全なバンドルをロードする代わりに実際に必要なものに ecc をトリミングする必要がある場合に使用します。OtherNo warnings★ 83↓ —
- swift-concurrency-6-2mturac/everything-openai-codexSwift 6.2 Approachable Concurrency — single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.OtherNo warnings★ 83↓ —
- production-schedulingmturac/everything-openai-codexCodified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.OtherNo warnings★ 83↓ —
- ecc-guidemturac/everything-openai-codexecc の現在のエージェント、スキル、コマンド、フック、ルール、インストールプロファイル、およびプロジェクトオンボーディングをガイドしています。ライブリポジトリサーフェスを読んでから回答するようユーザーをガイドします。OtherNo warnings★ 83↓ —
- eval-harnessmturac/everything-openai-codexFormal evaluation framework for OpenAI Codex sessions implementing eval-driven development (EDD) principlesOtherNo warnings★ 83↓ —
- ai-first-engineeringmturac/everything-openai-codexEngineering operating model for teams where AI agents generate a large share of implementation output.OtherNo warnings★ 83↓ —
- 247membranedev/application-skills[24]7.ai integration. Manage data, records, and automate workflows. Use when the user wants to interact with [24]7.ai data.OtherNo warnings★ 270↓ —
- agentic-engineeringmturac/everything-openai-codexOperate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.OtherNo warnings★ 83↓ —
- q2membranedev/application-skillsQ2 integration. Manage data, records, and automate workflows. Use when the user wants to interact with Q2 data.OtherNo warnings★ 270↓ —
qiskit
lingxling/awesome-skills-cn
OtherUpdated Oct 7, 2026
From the author
Qiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimize for hardware, execute on simulators or real quantum computers, and analyze results. Supports IBM Quantum (100+ qubit systems), IonQ, Amazon Braket, and other providers.
Install
npx skills add lingxling/awesome-skills-cn --skill qiskit -a claude-code
Installs to .claude/skills/qiskit/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (Custom or unclear) does not let us redistribute its files. The install commands fetch them from GitHub instead.
What it can touch
Instructions onlyUses the networkLicence: Custom or unclear
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Files (1)
- SKILL.md