███████╗██╗ ██╗██╗██╗ ██╗ ██████╗ █████╗ ███╗ ██╗██╗ ██╗
██╔════╝██║ ██╔╝██║██║ ██║ ██╔══██╗██╔══██╗████╗ ██║██║ ██╔╝
███████╗█████╔╝ ██║██║ ██║ ██████╔╝███████║██╔██╗ ██║█████╔╝
╚════██║██╔═██╗ ██║██║ ██║ ██╔══██╗██╔══██║██║╚██╗██║██╔═██╗
███████║██║ ██╗██║███████╗███████╗ ██║ ██║██║ ██║██║ ╚████║██║ ██╗
╚══════╝╚═╝ ╚═╝╚═╝╚══════╝╚══════╝ ╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═══╝╚═╝ ╚═╝
Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 2051 | p-image | 101-skills/superpowers |
Pruna P-Image Generation Generate images with Pruna's optimized P-Image models via inference.sh CLI. Quick Start Requires inference.sh CLI ( infsh ). Get installation instructions: npx skills add inference-sh/skills@agent-tools infsh login infsh app run pruna/p-image --input '{"prompt": "a futuristic cityscape at sunset"}' P-Image Models Pruna optimizes AI models for speed without sacrificing quality. Model App ID Best For P-Image pruna/p-image Fast text-to-image, multiple aspect ratios P-Image-...
|
10.2K |
| 2052 | p-video | 101-skills/superpowers |
Pruna P-Video Generation Generate videos with Pruna's optimized video models via inference.sh CLI. Quick Start Requires inference.sh CLI ( infsh ). Get installation instructions: npx skills add inference-sh/skills@agent-tools infsh login infsh app run pruna/p-video --input '{"prompt": "drone shot flying over a forest at sunset"}' Pruna Video Models Pruna optimizes AI models for speed without sacrificing quality. Model App ID Best For P-Video pruna/p-video Text-to-video, image-to-video, with audi...
|
10.2K |
| 2053 | create-architectural-decision-record | github/awesome-copilot |
Create Architectural Decision Record Create an ADR document for ${input:DecisionTitle} using structured formatting optimized for AI consumption and human readability. Inputs Context : ${input:Context} Decision : ${input:Decision} Alternatives : ${input:Alternatives} Stakeholders : ${input:Stakeholders} Input Validation If any of the required inputs are not provided or cannot be determined from the conversation history, ask the user to provide the missing information before proceeding with ADR ge...
|
10.1K |
| 2054 | codebase-onboarding | affaan-m/ecc |
Codebase Onboarding Systematically analyze an unfamiliar codebase and produce a structured onboarding guide. Designed for developers joining a new project or setting up Claude Code in an existing repo for the first time. When to Use First time opening a project with Claude Code Joining a new team or repository User asks "help me understand this codebase" User asks to generate a CLAUDE.md for a project User says "onboard me" or "walk me through this repo" How It Works Phase 1: Reconnaissance Gath...
|
10.1K |
| 2055 | turborepo-caching | wshobson/agents |
Turborepo Caching Production patterns for Turborepo build optimization. When to Use This Skill Setting up new Turborepo projects Configuring build pipelines Implementing remote caching Optimizing CI/CD performance Migrating from other monorepo tools Debugging cache misses Core Concepts 1. Turborepo Architecture Workspace Root/ ├── apps/ │ ├── web/ │ │ └── package.json │ └── docs/ │ └── package.json ├── packages/ │ ├── ui/ │ │ └── package.json │ └── config/ │ └── pac...
|
10.1K |
| 2056 | agentic-workflow | supercent-io/skills-template |
AI Agent Workflow (Workflow & Productivity) When to use this skill Optimize everyday AI agent work Integrate Git/GitHub workflows Use MCP servers Manage and recover sessions Apply productivity techniques 1. Key commands by agent Claude Code commands Command Function When to use /init Auto-generate a CLAUDE.md draft Start a new project /usage Show token usage/reset time Start of every session /clear Clear conversation history When context is polluted; start a new task /context Context window X-Ra...
|
10.1K |
| 2057 | agentic-development-principles | supercent-io/skills-template |
Agentic development principles (Agentic Development Principles) "AI is the copilot; you are the pilot" AI agents amplify the developer's thinking and take over repetitive work, but final decision-making authority and responsibility always remain with the developer. When to use this skill When starting a collaboration session with an AI agent When deciding an approach before starting a complex task When establishing a context management strategy When reviewing workflows to improve productivity Wh...
|
10.1K |
| 2058 | agent-configuration | supercent-io/skills-template |
AI Agent Configuration Policy (Configuration & Security) When to use this skill Build AI agent environment for new projects Write and optimize project description files Configure Hooks/Skills/Plugins Establish security policies Share team configurations 1. Project Description File Writing Policy Overview Project description files (CLAUDE.md, README, etc.) are project manuals for AI . AI agents reference these files with top priority. Auto-generate (Claude Code) /init Claude analyzes the codebas...
|
10.1K |
| 2059 | agent-evaluation | supercent-io/skills-template |
Agent Evaluation (AI Agent Evals) Based on Anthropic's "Demystifying evals for AI agents" When to use this skill Designing evaluation systems for AI agents Building benchmarks for coding, conversational, or research agents Creating graders (code-based, model-based, human) Implementing production monitoring for AI systems Setting up CI/CD pipelines with automated evals Debugging agent performance issues Measuring agent improvement over time Core Concepts Eval Evolution: Single-turn → Multi-turn →...
|
10.1K |
| 2060 | linear | openai/skills |
Linear Overview This skill provides a structured workflow for managing issues, projects & team workflows in Linear. It ensures consistent integration with the Linear MCP server, which offers natural-language project management for issues, projects, documentation, and team collaboration. Prerequisites Linear MCP server must be connected and accessible via OAuth Confirm access to the relevant Linear workspace, teams, and projects Required Workflow Follow these steps in order. Do not skip steps. St...
|
10.1K |
| 2061 | okx-cex-market | okx/agent-skills |
OKX CEX Market Data CLI Public market data for OKX exchange: prices, order books, candles, funding rates, open interest, and instrument info. All commands are read-only and do not require API credentials . Prerequisites Install okx CLI: npm install -g @okx_ai/okx-trade-cli No credentials needed for market data — all commands are public. Verify install: okx market ticker BTC-USDT Demo vs Live Mode Market data commands are public and read-only — demo mode has no effect . The same data is returned ...
|
10.1K |
| 2062 | agentmemory-config | rohitg00/agentmemory |
agentmemory reads configuration from the environment and from ~/.agentmemory/.env (one KEY=value per line, no export prefix). Restart the server after changing it. Quick start Enable richer memory and set a provider key in ~/.agentmemory/.env : ANTHROPIC_API_KEY=sk-ant-... AGENTMEMORY_AUTO_COMPRESS=true AGENTMEMORY_INJECT_CONTEXT=true Defaults worth knowing No API key is required. Without one, agentmemory runs zero-LLM with BM25 plus local embeddings. Token-spending features ship OFF on purpose:...
|
10.1K |
| 2063 | continuous-learning | affaan-m/ecc |
Continuous Learning Skill - DEPRECATED DEPRECATED 2026-04-28. Use continuous-learning-v2 instead. v2 is a strict superset: stop-hook observation becomes PreToolUse/PostToolUse observation, full skills become atomic instincts with confidence scoring, and global-only storage becomes project-scoped plus global promotion. This file is kept for archival reference and backward compatibility with existing installs. Original v1 Documentation (archival) Automatically evaluates Claude Code sessions on end...
|
10.1K |
| 2064 | pci-compliance | wshobson/agents |
PCI Compliance Master PCI DSS (Payment Card Industry Data Security Standard) compliance for secure payment processing and handling of cardholder data. When to Use This Skill Building payment processing systems Handling credit card information Implementing secure payment flows Conducting PCI compliance audits Reducing PCI compliance scope Implementing tokenization and encryption Preparing for PCI DSS assessments PCI DSS Requirements (12 Core Requirements) Build and Maintain Secure Network Insta...
|
10.1K |
| 2065 | projection-patterns | wshobson/agents |
Projection Patterns Comprehensive guide to building projections and read models for event-sourced systems. When to Use This Skill Building CQRS read models Creating materialized views from events Optimizing query performance Implementing real-time dashboards Building search indexes from events Aggregating data across streams Core Concepts 1. Projection Architecture ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ Event Store │────►│ Projector │────►│ Read Model │ │ │ ...
|
10.1K |
| 2066 | agentmemory-mcp-tools | rohitg00/agentmemory |
agentmemory exposes its full capability set as MCP tools. This skill is the index: it tells you which tool to reach for and where to find exact parameters. Quick start Save then recall: memory_save with content (the insight), concepts (comma-separated keywords), files (comma-separated paths). memory_smart_search with query and limit to retrieve it later. This runs hybrid BM25 plus vector plus graph-expanded search. Tool families Capture: memory_save , memory_observe flows, memory_compress_file ....
|
10.1K |
| 2067 | employment-contract-templates | wshobson/agents |
Employment Contract Templates Templates and patterns for creating legally sound employment documentation including contracts, offer letters, and HR policies. When to Use This Skill Drafting employment contracts Creating offer letters Writing employee handbooks Developing HR policies Standardizing employment documentation Onboarding documentation Core Concepts 1. Employment Document Types Document Purpose When Used Offer Letter Initial job offer Pre-hire Employment Contract Formal agreement Hir...
|
10.1K |
| 2068 | nature-statistics | yuan1z0825/nature-skills |
Nature Statistics Reporting Skill Use this skill to make manuscript statistics transparent, reproducible, and appropriately bounded. It is a reporting and review skill, not a substitute for a statistician reanalysing raw data unless the user supplies the data and explicitly asks for computation. Default stance Prioritize design transparency over decorative statistical language. Separate three questions: what was measured, what unit was analysed, and what inference was claimed. Treat the independ...
|
10.1K |
| 2069 | agentmemory-rest-api | rohitg00/agentmemory |
REST is agentmemory's primary surface. MCP is a bridge on top of it. Every memory operation has an HTTP endpoint under http://localhost:3111/agentmemory/* . Quick start liveness curl -fsS http://localhost:3111/agentmemory/livez save curl -X POST http://localhost:3111/agentmemory/remember \ -H "Content-Type: application/json" \ -d '{"content":"chose JWT refresh rotation","concepts":["jwt-refresh-rotation"]}' recall curl -X POST http://localhost:3111/agentmemory/smart-search \ -H "Content-Type:...
|
10.1K |
| 2070 | academic-paper | imbad0202/academic-research-skills |
Academic Paper — Academic Paper Writing Agent Team A general-purpose academic paper writing tool — 12-agent pipeline covering all disciplines, with higher education domain as the default reference. v2.5 adds two writing quality features: Style Calibration (intake Step 10, optional) — Provide 3+ past papers and the pipeline learns your writing voice (sentence rhythm, vocabulary preferences, citation integration style). Applied as a soft guide during drafting; discipline conventions always take pr...
|
10.1K |
| 2071 | h3-prompt-writing | minimax-ai/minimax-h3 |
H3 Prompt Writing Workflow Identify the input mode: T2VA, I2VA, FL2VA, L2VA, or full-reference Ref2VA. For base text/keyframe modes, read references/base-en.txt and follow its final prompt structure. For full-reference mode, read references/ref-en.txt and follow its six-section rewrite format. Preserve the exact field names, section order, labels, and timing notation from the selected guide. Base Modes T2VA: build the full audiovisual timeline from text. I2VA: start from the first frame and deve...
|
10.1K |
| 2072 | p-video-avatar | 101-skills/superpowers |
Install the belt CLI skill: npx skills add belt-sh/cli Pruna P-Video-Avatar Generate talking head avatar videos from a single portrait image via inference.sh CLI. P-Video-Avatar is the fastest and most cost-effective avatar video model available. Quality on par with Veo 3.0, 18x faster and 6x cheaper than alternatives like Fabric, OmniHuman, and HeyGen. Quick Start Requires inference.sh CLI ( belt ). Install instructions belt login Show more Installs 2.6K Repository 101-skills/superpowers First ...
|
10.1K |
| 2073 | seedance | 101-skills/superpowers |
Install the belt CLI skill: npx skills add belt-sh/cli Seedance 2.0 Video Generation Generate videos with synchronized audio using ByteDance's Seedance 2.0 via inference.sh CLI. Quick Start Requires inference.sh CLI ( belt ). Install instructions belt login belt app run bytedance/seedance-2-0 --input '{ "prompt": "a jazz band performing in a dimly lit club", "generate_audio": true }' Show more Installs 2.6K Repository 101-skills/superpowers First Seen Aug 31, 2026 Security Audits Gen Agent Trust...
|
10.1K |
| 2074 | task-observer | rebelytics/one-skill-to-rule-them-all |
Task Observer — Continuous Skill Discovery & Improvement Created by Eoghan Henn / rebelytics.com Also known as "One Skill to Rule Them All" — the meta-skill that builds and improves all your skills, including itself. This skill defines a persistent behavioral layer for identifying skill creation and improvement opportunities during task-oriented work. It doesn't replace the skill-creator — it feeds it. Think of it as the eyes and ears that notice patterns worth capturing, while the skill-creator...
|
10.1K |
| 2075 | break | jakubkrehel/skills |
Break This skill takes one component and renders it on a fresh page under every scenario that can actually reach it. That page is the deliverable: a visual report the user scrolls through, every state side by side, with the breaks marked. A component built against one happy path looks finished right up until real content arrives. It observes rather than judges. A finding here is something that visibly broke on the page, named in the vocabulary of the domain skill that owns the fix. Reviewing cod...
|
10.1K |
| 2076 | breakdown-feature-prd | github/awesome-copilot |
Feature PRD Prompt Goal Act as an expert Product Manager for a large-scale SaaS platform. Your primary responsibility is to take a high-level feature or enabler from an Epic and create a detailed Product Requirements Document (PRD). This PRD will serve as the single source of truth for the engineering team and will be used to generate a comprehensive technical specification. Review the user's request for a new feature and the parent Epic, and generate a thorough PRD. If you don't have enough inf...
|
10K |
| 2077 | pdftk-server | github/awesome-copilot |
PDFtk Server PDFtk Server is a command-line tool for working with PDF documents. It can merge, split, rotate, encrypt, decrypt, watermark, stamp, fill forms, extract metadata, and manipulate PDFs in a variety of ways. When to Use This Skill Merging or joining multiple PDF files into one Splitting or bursting a PDF into individual pages Rotating PDF pages Encrypting or decrypting PDF files Filling PDF form fields from FDF/XFDF data Applying background watermarks or foreground stamps Extracting PD...
|
10K |
| 2078 | refactor-method-complexity-reduce | github/awesome-copilot |
Refactor Method to Reduce Cognitive Complexity Objective Refactor the method ${input:methodName} , to reduce its cognitive complexity to ${input:complexityThreshold} or below, by extracting logic into focused helper methods. Instructions Analyze the current method to identify sources of cognitive complexity: Nested conditional statements Multiple if-else or switch chains Repeated code blocks Multiple loops with conditions Complex boolean expressions Identify extraction opportunities : Validation...
|
10K |
| 2079 | deep-research | 199-biotechnologies/claude-deep-research-skill |
Deep Research Core System Instructions Purpose: Deliver citation-backed, verified research reports through 8-phase pipeline (Scope → Plan → Retrieve → Triangulate → Synthesize → Critique → Refine → Package) with source credibility scoring and progressive context management. Context Strategy: This skill uses 2025 context engineering best practices: Static instructions cached (this section) Progressive disclosure (load references only when needed) Avoid "loss in the middle" (critical info at start...
|
10K |
| 2080 | eval-harness | affaan-m/ecc |
Eval Harness Skill A formal evaluation framework for Claude Code sessions, implementing eval-driven development (EDD) principles. When to Activate Setting up eval-driven development (EDD) for AI-assisted workflows Defining pass/fail criteria for Claude Code task completion Measuring agent reliability with pass@k metrics Creating regression test suites for prompt or agent changes Benchmarking agent performance across model versions Philosophy Eval-Driven Development treats evals as the "unit test...
|
10K |
| 2081 | oh-my-codex | supercent-io/skills-template |
oh-my-codex (OMX) - Multi-Agent Orchestration for Codex CLI When to use this skill Orchestrating complex multi-agent workflows with OpenAI Codex CLI Running parallel team workers in tmux for coordinated task execution Using persistent MCP servers for state, memory, and code intelligence Executing staged pipelines (plan → prd → exec → verify → fix) Leveraging role-based agent prompts for specialized tasks 1. Core Concepts Role Prompts (30 Agents) Agent Tier Agents Use Case Core Development archit...
|
10K |
| 2082 | frontend-code-review | langgenius/dify |
Frontend Code Review Intent Use this skill whenever the user asks to review frontend code (especially .tsx, .ts, or .js files). Support two review modes: Pending-change review – inspect staged/working-tree files slated for commit and flag checklist violations before submission. File-targeted review – review the specific file(s) the user names and report the relevant checklist findings. Stick to the checklist below for every applicable file and mode. Checklist See references/code-quality.md,...
|
10K |
| 2083 | defi-protocol-templates | wshobson/agents |
DeFi Protocol Templates Production-ready templates for common DeFi protocols including staking, AMMs, governance, lending, and flash loans. When to Use This Skill Building staking platforms with reward distribution Implementing AMM (Automated Market Maker) protocols Creating governance token systems Developing lending/borrowing protocols Integrating flash loan functionality Launching yield farming platforms Staking Contract // SPDX-License-Identifier: MIT pragma solidity ^0.8.0; import "@open...
|
10K |
| 2084 | okx-cex-trade | okx/agent-skills |
OKX CEX Trading CLI Spot, perpetual swap, delivery futures, and options order management on OKX exchange. Place, cancel, amend, and monitor orders; query option chains and Greeks; set take-profit/stop-loss and trailing stops; manage leverage and positions. Requires API credentials. Prerequisites Install okx CLI: npm install -g @okx_ai/okx-trade-cli Configure credentials: okx config init Or set environment variables: export OKX_API_KEY = your_key export OKX_SECRET_KEY = your_secret export OKX_PAS...
|
10K |
| 2085 | verification-loop | affaan-m/ecc |
Verification Loop Skill A comprehensive verification system for Claude Code sessions. When to Use Invoke this skill: After completing a feature or significant code change Before creating a PR When you want to ensure quality gates pass After refactoring Verification Phases Show more Installs 1.6K Repository affaan-m/ecc GitHub Stars 239.2K First Seen May 19, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
|
10K |
| 2086 | security-best-practices | openai/skills |
Security Best Practices When to use this skill New project : consider security from the start Security audit : inspect and fix vulnerabilities Public API : harden APIs accessible externally Compliance : comply with GDPR, PCI-DSS, etc. Instructions Step 1: Enforce HTTPS and security headers Express.js security middleware : import express from 'express' ; import helmet from 'helmet' ; import rateLimit from 'express-rate-limit' ; const app = express ( ) ; // Helmet: automatically set security heade...
|
10K |
| 2087 | agentmemory-architecture | rohitg00/agentmemory |
agentmemory is a memory server for coding agents. It runs locally, captures observations, indexes them for hybrid retrieval, and serves them back over REST and MCP. It is built on the iii engine. iii primitives Everything is a function, a trigger, or worker state on the iii engine. There is no separate plugin system; the worker registers functions ( mem::* ) and HTTP triggers ( api::* ) and the engine routes calls. agentmemory does not bypass iii; new capability is a new function plus a trigger....
|
10K |
| 2088 | agentmemory-hooks | rohitg00/agentmemory |
The Claude Code plugin registers lifecycle hooks so memory is captured automatically. You do not have to call memory_save for routine work; the hooks observe tool use, prompts, and session boundaries and write observations for you. Quick start Install the plugin and the hooks register themselves: /plugin marketplace add rohitg00/agentmemory /plugin install agentmemory Watch observations land live at http://localhost:3113 . What the hooks do Session start and end frame each unit of work and let h...
|
10K |
| 2089 | slo-implementation | wshobson/agents |
SLO Implementation Framework for defining and implementing Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets. Purpose Implement measurable reliability targets using SLIs, SLOs, and error budgets to balance reliability with innovation velocity. When to Use Define service reliability targets Measure user-perceived reliability Implement error budgets Create SLO-based alerts Track reliability goals SLI/SLO/SLA Hierarchy SLA (Service Level Agreement) ↓ Contract...
|
10K |
| 2090 | write-agentmemory-skill | rohitg00/agentmemory |
agentmemory skills follow one tiered format so they stay skimmable, accurate, and current. Match it exactly. Directory layout plugin/skills/<name>/ SKILL.md (required, under 100 lines) REFERENCE.md (optional, dense facts; auto-generate data tables) EXAMPLES.md (optional, worked transcripts) SKILL.md rules Frontmatter: name , description , optional argument-hint , and user-invocable . Set user-invocable: true only for skills the user runs as a slash command; reference and knowledge skills...
|
10K |
| 2091 | nature-experiment-log | yuan1z0825/nature-skills |
experiment-log — 实验日志标准化 触发条件 用户通过以下任一方式提交实验原始材料时自动加载: 路径 A — CLI 直接提交(图片 / 语音转录 / 文字) 路径 B — 发到飞书科研群,通过 feishu-cli-integration 扫描 前置依赖 需要配合 feishu-cli-integration skill 使用。确保: 飞书 bot 已添加到目标群 bot 权限: im:message + im:resource + im:message.group_msg 群 ID 配置在 skill 上下文中 处理流程 Show more Installs 754 Repository yuan1z0825/nature-skills GitHub Stars 29.6K First Seen Jul 2, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Warn
|
10K |
| 2092 | threejs-loaders | cloudai-x/threejs-skills |
Three.js Loaders Quick Start import * as THREE from "three"; import { GLTFLoader } from "three/addons/loaders/GLTFLoader.js"; // Load GLTF model const loader = new GLTFLoader(); loader.load("model.glb", (gltf) => { scene.add(gltf.scene); }); // Load texture const textureLoader = new THREE.TextureLoader(); const texture = textureLoader.load("texture.jpg"); LoadingManager Coordinate multiple loaders and track progress. const manager = new THREE.LoadingManager(); // Callbacks manager.onStar...
|
10K |
| 2093 | text-to-lottie | diffusionstudio/lottie |
Writing a renderable Lottie for this project This app renders Lottie with Skia's Skottie module (via canvaskit-wasm ), not the JS lottie-web runtime. Follow the rules below and verify the result. This skill covers the mechanics — the JSON shape Skottie needs. For the craft (timing, easing, choreography, Disney animation principles), see LottieFiles' motion-design skill . Its guidance is in milliseconds; convert to frames with frames = ms / 1000 * fr . Setting up the project The deliverable is no...
|
10K |
| 2094 | ffmpeg | digitalsamba/claude-code-video-toolkit |
FFmpeg for Video Production FFmpeg is the essential tool for video/audio processing. This skill covers common operations for Remotion video projects. Quick Reference GIF to MP4 (Remotion-compatible) ffmpeg -i input.gif -movflags faststart -pix_fmt yuv420p \ -vf "scale=trunc(iw/2)*2:trunc(ih/2)*2" output.mp4 Why these flags: -movflags faststart - Moves metadata to start for web streaming -pix_fmt yuv420p - Ensures compatibility with most players scale=trunc(...) - Forces even dimensions (r...
|
10K |
| 2095 | dogfood | callstack/agent-device |
Dogfood Systematically explore a web application, find issues, and produce a report with full reproduction evidence for every finding. Setup Only the Target URL is required. Everything else has sensible defaults -- use them unless the user explicitly provides an override. Parameter Default Example override Target URL (required) vercel.com , http://localhost:3000 Session name Slugified domain (e.g., vercel.com -> vercel-com ) --session my-session Output directory ./dogfood-output/ Output director...
|
10K |
| 2096 | genshijin-commit | interfacex-co-jp/genshijin |
コミットメッセージは簡潔かつ正確に。Conventional Commits 形式。冗長禁止。「何を」より「なぜ」。 ルール 件名 <type>(<scope>): <命令形の要約> — <scope> 任意 types: feat , fix , refactor , perf , docs , test , chore , build , ci , style , revert 命令形: 「追加」「修正」「削除」 — 「追加した」「追加します」不可 ≤50文字目標・72文字上限 末尾ピリオド不要 日本語/英語はリポジトリ既存コミット履歴に合わせる( git log 確認) 本文(必要時のみ) Show more Installs 835 Repository interfacex-co-j…enshijin GitHub Stars 287 First Seen Apr 18, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
|
10K |
| 2097 | genshijin-compress | interfacex-co-jp/genshijin |
genshijin-compress 目的 自然言語ファイル(CLAUDE.md, todos, 設定)を原始人モード化して入力トークン削減。圧縮版が原ファイル上書き、人間可読版は <filename>.original.md で保存。 トリガー /genshijin-compress <filepath> または「メモリファイル圧縮」等の依頼。 処理フロー この SKILL.md と同ディレクトリの scripts/ を検出 実行: cd <SKILL.md を含むディレクトリ> && python3 -m scripts <絶対ファイルパス> Show more Installs 826 Repository interfacex-co-j…enshijin GitHub Stars 287 First Seen Apr 18, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Fail
|
10K |
| 2098 | genshijin-help | interfacex-co-jp/genshijin |
genshijin ヘルプ 呼出時にこのリファレンスカード表示。1回限り — モード変更・フラグ書込・状態永続化 禁止。出力は原始人モード。 強度レベル レベル トリガー 変更内容 丁寧 /genshijin 丁寧 クッション言葉・ぼかし削除。敬語維持。文完結。ビジネス簡潔体 通常 /genshijin 敬語落とし体言止め。助詞省略可。キーワードスペース区切り。デフォルト 極限 /genshijin 極限 日本語文法無視。キーワードのみ。略語多用。矢印因果 X→Y。最小句読点 レベル 切替まで or セッション終了まで維持。 サブスキル Show more Installs 826 Repository interfacex-co-j…enshijin GitHub Stars 287 First Seen Apr 18, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
|
10K |
| 2099 | genshijin-review | interfacex-co-jp/genshijin |
レビューコメントは簡潔かつ行動可能に。1行1指摘。位置・問題・修正。前置き禁止。 ルール 形式: L<line>: <問題>。<修正>。 — 複数ファイル時 <file>:L<line>: ... 重大度プレフィックス(混在時): 🔴 バグ: — 壊れている。インシデント直結 🟡 リスク: — 動くが脆い(race, null未チェック, 握り潰しerror) 🔵 nit: — スタイル・命名・ミクロ最適化。著者無視可 ❓ 質問: — 純粋な疑問。提案ではない 削除: 「〜に気づきました」「〜のように見えます」「〜を検討するとよいかもしれません」 「あくまで提案ですが」→ nit: 使う 「素晴らしい仕事です」「全体的には良さそうですが」— 先頭に1回だけ、個別コメント不要 行の動作説明 — diff 読めば分かる ぼかし(「おそらく」「たぶん」「〜と思います」)— 不確実なら 質問: Show more Installs 821 Repository interfacex-co-j…enshijin GitHub Stars 287 First Seen Apr 18, 2026 S...
|
10K |
| 2100 | scoutqa-test | github/awesome-copilot |
Perform AI-powered exploratory testing on web applications using the `scoutqa` CLI. Think of ScoutQA as an intelligent testing partner that can autonomously explore, discover issues, and verify features. Delegate testing to multiple parallel ScoutQA executions to maximize coverage while saving time. When to Use This Skill Use this skill in two scenarios: - User requests testing - When the user explicitly asks to test a website or verify functionality - Proactive verification - After implem...
|
9.9K |