AAS Core: complete local skill discovery, agent-owned selection, stack validation, and planning, backed by 2,743+ agentic skills.

1,935+ agentic skills for Claude Code, Gemini CLI, Cursor, Antigravity & more. Installer CLI.

Video-making skills for Claude Opus 5.5 in Claude Code — every frame and note generated in code, one skill per style: hand-painted animation, kinetic-typography reels | 用 Claude Opus 5.5 以代码制作视频的技能合集

385 AI skills, 76 expert agents, and 906 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit. Installs on Claude Code, Cursor, Codex, Gemini, Copilot, and 6 other AI assistants.

芊云全景 Skills 技能管理平台 CLI：统一存储 ~/.agents/skills + 按需软链（--claude/--local），一条命令安装/更新/发布团队 Skills，内置私有源

Searches the Azure skills catalog and recommends installable agent skills by matching an Azure task to skill metadata and plugin installation guidance. WHEN: before starting any task that involves an Azure or Microsoft-cloud service, product, or data source, when no currently loaded skill or tool al

A skill to stop your coding agent from burying the answer. ADHD-friendly output.

Active Directory pentest methodology for Claude Code: skills, agents and slash commands for internal AD red-team work (Kerberoasting, ADCS ESC1-17, DCSync, ACL abuse, NTLM relay, delegation), with per-technique OPSEC/telemetry notes. Drives netexec, impacket, certipy, bloodyAD, BloodHound CE.

Long-horizon agent skill for Claude Code / Cursor / Codex / Grok Build — multi-task ledger loop, host-portable, clean-context supervisor, verified gates. Markdown library (loop-graph), not a framework.

Schema-as-code memory for AI agents in Obsidian: typed cards, entity dedup, link repair, update-in-place, and Ebbinghaus decay. Plain Markdown you own — a Claude Code skill.

Production-ready prompt library for Claude coding agents. APEI methodology, ~35 specialist prompts, current Claude Code coverage, plus a /find-prompt skill that routes any task to the right prompt.

Compare multiple skills on the same task and pick the winner.

Second Brain automation for Obsidian vaults — entity management, ingestion, compression, and sync via Claude Code skills

Enables computing composite glycemic load for multi-ingredient meals, modeling protein and fat attenuation of glucose spikes, and forecasting post-prandial fatigue and stable focus hours to guide meal and task scheduling.

Full-stack consulting skill for Claude Code — 6 AI agents, 16 strategy frameworks, CPA-level financial modeling, zero hallucinations

Spec-driven development with smart compaction. Claude Code plugin combining Ralph Wiggum loop with structured specification workflow.

genshijin 原始人 🗿| Claude Code / Codex等AIエージェント 向け超圧縮コミュニケーションスキル。caveman の日本語版をベースに、日本語特有の冗長表現に最適化。

Air traffic control discipline for agent output. Written for a reader with ADHD.

Project continuity for Claude Code and Codex: a roadmap beside your code, grounded handoffs, and clear task status.

Evidence-driven task orchestration with PO First for Claude Code, Kiro, Codex, DeepSeek Harness, Antigravity, OpenCode, Grok Build, GitHub Copilot, Hermes Agent and OpenClaw

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spr

Rigor Run skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized `repro_outputs/` files, including patch notes when repository files c

Rigor Setup skill for README-first deep learning repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for rep

Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of `current_research` with audi