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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 3951 | crypto-protocol-diagram | trailofbits/skills |
Crypto Protocol Diagram Produces a Mermaid sequenceDiagram (written to file) and an ASCII sequence diagram (printed inline) from either: Source code implementing a cryptographic protocol, or A specification — RFC, academic paper, pseudocode, informal prose, ProVerif ( .pv ), or Tamarin ( .spthy ) model. Tools used: Read, Write, Grep, Glob, Bash, WebFetch (for URL specs). Unlike the diagramming-code skill (which visualizes code structure), this skill extracts protocol semantics : who sends what t...
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1.1K |
| 3952 | trailmark | trailofbits/skills |
Trailmark Parses source code into a directed graph of functions, classes, calls, and semantic metadata for security analysis. Supports 16 languages. When to Use Mapping call paths from user input to sensitive functions Finding complexity hotspots for audit prioritization Identifying attack surface and entrypoints Understanding call relationships in unfamiliar codebases Security review or audit preparation across polyglot projects Adding LLM-inferred annotations (assumptions, preconditions) to co...
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| 3953 | change-request | anthropics/knowledge-work-plugins |
/change-request If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md . Create a structured change request with impact analysis, risk assessment, and rollback plan. Usage /change-request $ARGUMENTS Change Management Framework Apply the assess-plan-execute-sustain framework when building the request: 1. Assess What is changing? Who is affected? How significant is the change? (Low / Medium / High) What resistance should we expect? 2. Plan Communication pl...
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| 3954 | postiz | gitroomhq/postiz-agent |
Install Postiz if it doesn't exist npm install -g postiz or pnpm install -g postiz npm release: https://www.npmjs.com/package/postiz postiz github: https://github.com/gitroomhq/postiz-app postiz cli github: https://github.com/gitroomhq/postiz-app official website: https://postiz.com Property Value name postiz description Social media automation CLI for scheduling posts across 28+ platforms allowed-tools Bash(postiz:*) Core Workflow The fundamental pattern for using Postiz CLI: Discover - List i...
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| 3955 | vendor-check | anthropics/knowledge-work-plugins |
/vendor-check -- Vendor Agreement Status If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md . Check the status of existing agreements with a vendor across all connected systems. Provides a consolidated view of the legal relationship. Important : This command assists with legal workflows but does not provide legal advice. Agreement status reports should be verified against original documents by qualified legal professionals. Invocation /vendor-check [...
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| 3956 | parallel-task-spark | am-will/codex-skills |
Parallel Task Executor (Sparky) You are an Orchestrator for subagents. Use orchestration mode to parse plan files and delegate tasks to parallel Sparky subagents using task dependencies, in a loop, until all tasks are completed. Your role is to ensure that subagents are launched in the correct order (in waves), and that they complete their tasks correctly, as well as ensure the plan docs are updated with logs after each task is completed. Process Step 1: Parse Request Extract from user request: ...
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| 3957 | super-swarm-spark | am-will/codex-skills |
Parallel Task Executor (Sparky Rolling 12-Agent Pool) You are an Orchestrator for subagents. Parse plan files and delegate tasks in parallel using a rolling pool of up to 15 concurrent Sparky subagents. Keep launching new work whenever a slot opens until the plan is fully complete. Primary orchestration goals: Keep the project moving continuously Ignore dependency maps Keep up to 15 agents running whenever pending work exists Give every subagent maximum path/file context Prevent filename/folder-...
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| 3958 | flutter-theming | flutter/skills |
Goal Updates and manages Flutter application styling by migrating legacy Material 2 implementations to Material 3, normalizing component themes, updating deprecated button classes, and adapting UI idioms for cross-platform consistency. Assumes a Flutter environment using Dart. Instructions Analyze Current Theme State Review the existing Flutter codebase to identify legacy Material 2 components, deprecated button classes ( FlatButton , RaisedButton , OutlineButton ), and outdated theme properties...
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| 3959 | agent-memory | api/git |
No SKILL.md available for this skill. View on GitHub
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| 3960 | flutter-animation | flutter/skills |
Flutter Animations Implementation Goal Implements and manages Flutter animations, selecting the appropriate animation strategy (implicit, explicit, tween, physics, hero, or staggered) based on UI requirements. Assumes a working Flutter environment, stateful/stateless widget competence, and a standard widget tree structure. Instructions 1. Determine Animation Strategy (Decision Logic) Evaluate the UI requirement using the following decision tree to select the correct animation approach: Is the an...
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| 3961 | flutter-routing-and-navigation | flutter/skills |
flutter-navigation-routing Goal Implements robust navigation and routing in Flutter applications. Evaluates application requirements to select the appropriate routing strategy (imperative Navigator , declarative Router , or nested navigation), handles deep linking, and manages data passing between routes while adhering to Flutter best practices. Instructions 1. Determine Routing Strategy (Decision Logic) Evaluate the application's navigation requirements using the following decision tree: Condit...
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| 3962 | flutter-state-management | flutter/skills |
flutter-state-management Goal Implements robust state management and architectural patterns in Flutter applications using Unidirectional Data Flow (UDF) and the Model-View-ViewModel (MVVM) design pattern. Evaluates state complexity to differentiate between ephemeral (local) state and app (shared) state, applying the appropriate mechanisms ( setState , ChangeNotifier , or the provider package). Ensures that the UI remains a pure function of immutable state and that the data layer acts as the Sing...
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| 3963 | flutter-architecture | flutter/skills |
Flutter Architecture Overview Provides architectural guidance and best practices for building scalable Flutter applications using MVVM pattern, layered architecture, and recommended design patterns from the Flutter team. Project Structure: Feature-First vs Layer-First Choose the right project organization based on your app's complexity and team size. Feature-First (Recommended for teams) Organize code by business features: lib/ ├── features/ │ ├── auth/ │ │ ├── data/ │ │ ├── domain/ │ ...
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| 3964 | setup-artist | recoupable/setup-artist |
Setup Artist Scaffold a complete artist workspace so agents can start working immediately. Prerequisites The sandbox has already been set up (see setup-sandbox skill) An artist folder exists at orgs/{org}/artists/{artist-slug}/ with a RECOUP.md marker file The RECOUP.md file contains the artist's name, slug, and Recoup ID (created by setup-sandbox ) Folder Structure {artist-slug}/ ├── RECOUP.md ├── README.md ├── .env.example ├── .env ├── context/ │ ├── artist.md │ ├── audience.md │ ├── era...
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| 3965 | coding-guidelines | zhanghandong/rust-skills |
Rust Coding Guidelines (50 Core Rules) Naming (Rust-Specific) Rule Guideline No get_ prefix fn name() not fn get_name() Iterator convention iter() / iter_mut() / into_iter() Conversion naming as_ (cheap &), to_ (expensive), into_ (ownership) Static var prefix G_CONFIG for static, no prefix for const Data Types Rule Guideline Use newtypes struct Email(String) for domain semantics Prefer slice patterns if let [first, .., last] = slice Pre-allocate Vec::with_capacity(), String::with_capacity() Avoi...
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| 3966 | quant-analyst | 404kidwiz/claude-supercode-skills |
Quantitative Analyst Purpose Provides expertise in quantitative finance, algorithmic trading strategies, and financial data analysis. Specializes in statistical modeling, risk analytics, and building data-driven trading systems using Python scientific computing stack. When to Use Building algorithmic trading strategies or backtesting frameworks Performing statistical analysis on financial time series data Implementing risk models (VaR, CVaR, Greeks calculations) Creating portfolio optimization...
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| 3967 | video-understand | heygen-com/skills |
video-understand Understand video content locally using ffmpeg for frame extraction and Whisper for transcription. Fully offline, no API keys required. Prerequisites ffmpeg + ffprobe (required): brew install ffmpeg openai-whisper (optional, for transcription): pip install openai-whisper Commands Scene detection + transcribe (default) python3 skills/video-understand/scripts/understand_video.py video.mp4 Keyframe extraction python3 skills/video-understand/scripts/understand_video.py video.mp4 -m...
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| 3968 | sub-account | binance/binance-skills-hub |
Binance Sub-account Skill Sub-account request on Binance using authenticated API endpoints. Requires API key and secret key for certain endpoints. Return the result in JSON format. Quick Reference Endpoint Description Required Optional Authentication /sapi/v1/sub-account/virtualSubAccount (POST) Create a Virtual Sub-account (For Master Account) (USER_DATA) subAccountString recvWindow Yes /sapi/v1/sub-account/futures/enable (POST) Enable Futures for Sub-account (For Master Account) (USER_DATA) em...
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| 3969 | simple-earn | binance/binance-skills-hub |
Binance Simple-earn Skill Simple-earn request on Binance using authenticated API endpoints. Requires API key and secret key for certain endpoints. Return the result in JSON format. Quick Reference Endpoint Description Required Optional Authentication /sapi/v1/bfusd/account (GET) Get BFUSD Account (USER_DATA) None recvWindow Yes /sapi/v1/bfusd/quota (GET) Get BFUSD Quota Details (USER_DATA) None recvWindow Yes /sapi/v1/bfusd/redeem (POST) Redeem BFUSD(TRADE) amount, type recvWindow Yes /sapi/v1/b...
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| 3970 | ios-security | dpearson2699/swift-ios-skills |
iOS Security Guidance for handling sensitive data, authenticating users, encrypting correctly, and following Apple's security best practices on iOS. Contents Keychain Services Data Protection CryptoKit Secure Enclave Biometric Authentication App Transport Security (ATS) Certificate Pinning Secure Coding Patterns Privacy Manifests Common Mistakes Review Checklist References Keychain Services The Keychain is the ONLY correct place to store sensitive data. Never store passwords, tokens, API keys, o...
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| 3971 | develop-web-game | openai/skills |
Develop Web Game Build games in small steps and validate every change. Treat each iteration as: implement → act → pause → observe → adjust. Skill paths (set once) export CODEX_HOME = " ${CODEX_HOME :- $HOME / .codex} " export WEB_GAME_CLIENT = " $CODEX_HOME /skills/develop-web-game/scripts/web_game_playwright_client.js" export WEB_GAME_ACTIONS = " $CODEX_HOME /skills/develop-web-game/references/action_payloads.json" User-scoped skills install under $CODEX_HOME/skills (default: ~/.codex/skills )....
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| 3972 | avoid-feature-creep | waynesutton/convexskills |
Avoid Feature Creep for Agents Stop building features nobody needs. This skill helps you ship products that solve real problems without drowning in unnecessary complexity. Feature creep kills products. It delays launches, burns budgets, exhausts teams, and creates software nobody wants to use. The most successful products do fewer things well. The Core Problem Feature creep is the gradual accumulation of features beyond what your product needs to deliver value. It happens slowly, then all at...
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| 3973 | firebase | sickn33/antigravity-awesome-skills |
Firebase You're a developer who has shipped dozens of Firebase projects. You've seen the "easy" path lead to security breaches, runaway costs, and impossible migrations. You know Firebase is powerful, but you also know its sharp edges. Your hard-won lessons: The team that skipped security rules got pwned. The team that designed Firestore like SQL couldn't query their data. The team that attached listeners to large collections got a $10k bill. You've learned from all of them. You advocate for ...
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| 3974 | file-test-bug | microsoft/github-copilot-for-azure |
File Test Bug Creates a GitHub issue in microsoft/github-copilot-for-azure for integration test failures. Input Skill name (required): e.g., azure-rbac , appinsights-instrumentation Test run (optional): Timestamp of test run. Defaults to most recent with logs for the skill. Steps Ask user for skill name if not provided Parse tests/reports/junit.xml for failures matching the skill Find test run directory (specified or most recent with matching logs) Read agent-metadata.md from tests/reports/test-...
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| 3975 | trump-code-market-signals | aradotso/trending-skills |
Trump Code — Market Signal Analysis Skill by ara.so — Daily 2026 Skills collection. Trump Code is an open-source system that applies brute-force computation to find statistically significant patterns between Trump's Truth Social/X posting behavior and S&P 500 movements. It has tested 31.5M model combinations, maintains 551 surviving rules, and has a verified 61.3% hit rate across 566 predictions (z=5.39, p<0.05). Installation git clone https://github.com/sstklen/trump-code.git cd trump-code pip ...
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| 3976 | openclaw-rl-training | aradotso/trending-skills |
OpenClaw-RL Training Skill by ara.so — Daily 2026 Skills collection. OpenClaw-RL is a fully asynchronous reinforcement learning framework that converts live multi-turn conversations into training signals for personalized AI agents. It wraps a self-hosted model as an OpenAI-compatible API via OpenClaw , intercepts conversations, and continuously optimizes the policy in the background without interrupting usage. It also supports scalable RL for terminal, GUI, SWE, and tool-call agents. Architectur...
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| 3977 | sf-ai-agentscript | jaganpro/sf-skills |
"Prompt engineering is like writing laws in poetry - beautiful, but not enforceable." Agent Script transforms agent development from prompt-based suggestions to code-enforced guarantees. This skill guides you through writing, debugging, testing, and deploying Agentforce agents using the Agent Script DSL. ⚠️ CRITICAL WARNINGS API & Version Requirements | API Version | 65.0+ | Required for Agent Script support | License | Agentforce | Required for agent authoring | Einstein Agent Use...
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| 3978 | zeroboot-vm-sandbox | aradotso/trending-skills |
Zeroboot VM Sandbox Skill by ara.so — Daily 2026 Skills collection. Zeroboot provides sub-millisecond KVM virtual machine sandboxes for AI agents using copy-on-write forking. Each sandbox is a real hardware-isolated VM (via Firecracker + KVM), not a container. A template VM is snapshotted once, then forked in ~0.8ms per execution using mmap(MAP_PRIVATE) CoW semantics. How It Works Firecracker snapshot ──► mmap(MAP_PRIVATE) ──► KVM VM + restored CPU state (copy-on-write) (~0.8ms) Templat...
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| 3979 | stock-daily-analysis | chjm-ai/stock-daily-analysis-skill |
Daily Stock Analysis for OpenClaw 基于 LLM 的 A/H/美股智能分析 Skill,提供技术面分析和 AI 决策建议。 功能特性 多市场支持 - A股、港股、美股 技术面分析 - MA5/10/20、MACD、RSI、乖离率 趋势交易 - 多头排列判断、买入信号评分 AI 决策 - DeepSeek/Gemini/OpenAI 深度分析 数据源集成 - 可选 market-data skill 快速使用 from scripts . analyzer import analyze_stock , analyze_stocks 单只分析 result = analyze_stock ( '600519' ) print ( result [ 'ai_analysis' ] [ 'operation_advice' ] ) 批量分析 results = analyze_stocks ( [ '600362' , '601318' , '159892' ] ) 配置 复制配置模板: cp config.example.json config.json ...
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| 3980 | toon-format | aradotso/trending-skills |
Token-Oriented Object Notation (TOON) Skill by ara.so — Daily 2026 Skills collection. TOON is a compact, human-readable encoding of the JSON data model that minimizes tokens for LLM input. It combines YAML-style indentation for nested objects with CSV-style tabular layout for uniform arrays, achieving ~40% token reduction while maintaining or improving LLM comprehension accuracy. Installation npm npm install @toon-format/toon pnpm pnpm add @toon-format/toon yarn yarn add @toon-format/toon CLI...
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| 3981 | git-city-3d-github-visualization | aradotso/trending-skills |
Git City — 3D GitHub Profile Visualization Skill by ara.so — Daily 2026 Skills collection. Git City transforms GitHub profiles into a 3D pixel art city. Each user becomes a unique building: height from contributions, width from repos, window brightness from stars. Built with Next.js 16 (App Router), React Three Fiber, and Supabase. Quick Setup git clone https://github.com/srizzon/git-city.git cd git-city npm install Copy env template cp .env.example .env.local Linux/macOS copy .env.example .en...
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| 3982 | taiwan-md-knowledge-base | aradotso/trending-skills |
Taiwan.md Knowledge Base Skill by ara.so — Daily 2026 Skills collection. Taiwan.md is an open-source, AI-native knowledge base about Taiwan built with Astro v5. It uses a Single Source of Truth (SSOT) architecture where all content lives in the knowledge/ directory as Markdown files, and the website is a build-time projection. Features include bilingual support (Traditional Chinese as default + English), an interactive D3.js knowledge graph, and 96+ curated articles across 12 categories. Install...
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| 3983 | witr-process-inspector | aradotso/trending-skills |
witr — Why Is This Running? Skill by ara.so — Daily 2026 Skills collection. witr is a Go CLI/TUI tool that answers "why is this running?" for any process, service, or port. Instead of leaving you to correlate ps , lsof , ss , systemctl , and docker ps manually, witr makes the causality chain explicit — showing where a running thing came from, how it was started, and what chain of supervisors/containers/shells is responsible. Installation Quickest (Unix) curl -fsSL https://raw.githubusercontent.c...
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| 3984 | grimmory-self-hosted-library | aradotso/trending-skills |
Grimmory Self-Hosted Library Manager Skill by ara.so — Daily 2026 Skills collection. Grimmory is a self-hosted application (successor to BookLore) for managing your entire book collection. It supports EPUBs, PDFs, MOBIs, AZW/AZW3, and comics (CBZ/CBR/CB7), with a built-in browser reader, annotations, Kobo/OPDS sync, KOReader progress sync, metadata enrichment, and multi-user support. Installation Requirements Docker and Docker Compose Step 1: Create .env Application APP_USER_ID = 1000 APP_GROUP...
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| 3985 | slug-font-rendering | aradotso/trending-skills |
Slug Font Rendering Algorithm Skill by ara.so — Daily 2026 Skills collection. Slug is a reference implementation of the Slug font rendering algorithm — a GPU-accelerated technique for rendering vector fonts and glyphs at arbitrary scales with high quality anti-aliasing. It works by encoding glyph outlines as lists of quadratic Bézier curves and line segments, then resolving coverage directly in fragment shaders without pre-rasterized textures. Paper: JCGT 2017 — Slug Algorithm Blog (updates): A ...
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| 3986 | extract | actionbook/actionbook |
Identify reusable patterns, components, and design tokens, then extract and consolidate them into the design system for systematic reuse. Discover Analyze the target area to identify extraction opportunities: Find the design system : Locate your design system, component library, or shared UI directory (grep for "design system", "ui", "components", etc.). Understand its structure: Component organization and naming conventions Design token structure (if any) Documentation patterns Import/export co...
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| 3987 | kimodo-motion-diffusion | aradotso/trending-skills |
Kimodo Motion Diffusion Skill by ara.so — Daily 2026 Skills collection. Kimodo is a kinematic motion diffusion model trained on 700 hours of commercially-friendly optical mocap data. It generates high-quality 3D human and humanoid robot motions controlled through text prompts and kinematic constraints (full-body keyframes, end-effector positions/rotations, 2D paths, 2D waypoints). Installation Clone the repository git clone https://github.com/nv-tlabs/kimodo.git cd kimodo Install with pip (cre...
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| 3988 | memory-lancedb-pro-openclaw | aradotso/trending-skills |
memory-lancedb-pro OpenClaw Plugin Skill by ara.so — Daily 2026 Skills collection. memory-lancedb-pro is a production-grade long-term memory plugin for OpenClaw agents. It stores preferences, decisions, and project context in a local LanceDB vector database and automatically recalls relevant memories before each agent reply. Key features: hybrid retrieval (vector + BM25 full-text), cross-encoder reranking, LLM-powered smart extraction (6 categories), Weibull decay-based forgetting, multi-scope i...
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| 3989 | nightingale-karaoke | aradotso/trending-skills |
Nightingale Karaoke Skill Skill by ara.so — Daily 2026 Skills collection. Nightingale is a self-contained, ML-powered karaoke application written in Rust (Bevy engine). It scans a local music folder, separates vocals from instrumentals (UVR Karaoke model or Demucs), transcribes lyrics with word-level timestamps (WhisperX), and plays back with synchronized highlighting, real-time pitch scoring, player profiles, and GPU shader / video backgrounds. Everything — ffmpeg, Python, PyTorch, ML models — ...
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| 3990 | keyid-agent-kit-mcp | aradotso/trending-skills |
KeyID Agent Kit — MCP Email Tools for AI Agents Skill by ara.so — Daily 2026 Skills collection. KeyID Agent Kit gives AI agents (Claude, Cursor, or any MCP client) a real, working email address with 27 tools via the Model Context Protocol. No signup, no API keys to acquire manually, no cost. Powered by KeyID.ai . What It Does Provisions a real email address for your AI agent automatically Exposes 27 MCP tools: send, receive, reply, forward, search, contacts, drafts, webhooks, auto-reply, signatu...
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| 3991 | autoresearch-genealogy | aradotso/trending-skills |
autoresearch-genealogy Skill by ara.so — Daily 2026 Skills collection. A structured system of autoresearch prompts, Obsidian vault templates, archive guides, and methodology references for AI-assisted genealogy research. Built for Claude Code's autonomous research loops, adaptable to any AI tool or manual workflow. What This Project Does Provides 12 Claude Code /autoresearch prompts that autonomously search the web, update your vault, and self-verify results Supplies a complete 19-file Obsidian ...
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| 3992 | documentation-templates | sickn33/antigravity-awesome-skills |
Documentation Templates Templates and structure guidelines for common documentation types. 1. README Structure Essential Sections (Priority Order) Section Purpose Title + One-liner What is this? Quick Start Running in <5 min Features What can I do? Configuration How to customize API Reference Link to detailed docs Contributing How to help License Legal README Template Project Name Brief one-line description. Quick Start [Minimum steps to run] Features - Feature 1 - Feature 2 Configur...
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| 3993 | fabro-workflow-factory | aradotso/trending-skills |
Fabro Workflow Factory Skill by ara.so — Daily 2026 Skills collection. Fabro is an open source AI coding workflow orchestrator written in Rust. It lets you define agent pipelines as Graphviz DOT graphs — with branching, loops, human approval gates, multi-model routing, and cloud sandbox execution — then run them as a persistent service. You define the process; agents execute it; you intervene only where it matters. Installation Via Claude Code (recommended) curl -fsSL https://fabro.sh/install.m...
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| 3994 | deepseek-ocr | aradotso/trending-skills |
DeepSeek-OCR Skill by ara.so — Daily 2026 Skills collection. DeepSeek-OCR is a vision-language model for Optical Character Recognition with "Contexts Optical Compression." It supports native and dynamic resolutions, multiple prompt modes (document-to-markdown, free OCR, figure parsing, grounding), and can be run via vLLM (high-throughput) or HuggingFace Transformers. It processes images and PDFs, outputting structured text or markdown. Installation Prerequisites CUDA 11.8+, PyTorch 2.6.0 Python ...
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| 3995 | sf-diagram-nanobananapro | jaganpro/sf-skills |
Visual content generation and AI sub-agent for Salesforce development using Gemini CLI with Nano Banana Pro extension. ⚠️ IMPORTANT: Prerequisites Check Before using this skill, ALWAYS run the prerequisites check first: ``` ~/.claude/plugins/marketplaces/sf-skills/sf-diagram-nanobananapro/scripts/check-prerequisites.sh ``` If the check fails, DO NOT invoke this skill. The user must fix the missing prerequisites first. Requirements | macOS | Required for Preview app image display | Bui...
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| 3996 | azure-architecture-autopilot | github/awesome-copilot |
Azure Architecture Builder A pipeline that designs Azure infrastructure using natural language, or analyzes existing resources to visualize architecture and proceed through modification and deployment. The diagram engine is embedded within the skill ( scripts/ folder). No pip install needed — it directly uses the bundled Python scripts to generate interactive HTML diagrams with 605+ official Azure icons. Ready to use immediately without network access or package installation. Automatic User Lang...
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| 3997 | bluebubbles | steipete/clawdis |
BlueBubbles Actions Overview BlueBubbles is OpenClaw’s recommended iMessage integration. Use the message tool with channel: "bluebubbles" to send messages and manage iMessage conversations: send texts and attachments, react (tapbacks), edit/unsend, reply in threads, and manage group participants/names/icons. Inputs to collect target (prefer chat_guid:... ; also +15551234567 in E.164 or user@example.com ) message text for send/edit/reply messageId for react/edit/unsend/reply Attachment path for l...
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| 3998 | quality-playbook | github/awesome-copilot |
Quality Playbook Generator When this skill starts, display this banner before doing anything else: Quality Playbook v1.2.0 — by Andrew Stellman https://github.com/andrewstellman/ Generate a complete quality system tailored to a specific codebase. Unlike test stub generators that work mechanically from source code, this skill explores the project first — understanding its domain, architecture, specifications, and failure history — then produces a quality playbook grounded in what it finds. Why Th...
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| 3999 | backend-dev-guidelines | sickn33/antigravity-awesome-skills |
Backend Development Guidelines (Node.js · Express · TypeScript · Microservices) You are a senior backend engineer operating production-grade services under strict architectural and reliability constraints. Your goal is to build predictable, observable, and maintainable backend systems using: Layered architecture Explicit error boundaries Strong typing and validation Centralized configuration First-class observability This skill defines how backend code must be written, not merely suggestion...
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| 4000 | sf-ai-agentforce | jaganpro/sf-skills |
sf-ai-agentforce: Standard Agentforce Platform Development Expert Agentforce developer specializing in the Setup UI / Agentforce Builder approach to agent development. Covers topic and action configuration, GenAiFunction/GenAiPlugin metadata, PromptTemplate authoring, Einstein Models API, and custom Lightning types. Code-first alternative : For programmatic agent development using Agent Script DSL ( .agent files), use sf-ai-agentscript instead. This skill covers the declarative, UI-driven approa...
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