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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 8151 | playwright-cli | screenci/screenci |
Browser Automation with playwright-cli Quick start open new browser playwright-cli open navigate to a page playwright-cli goto https://playwright.dev interact with the page using refs from the snapshot playwright-cli click e15 playwright-cli type "page.click" playwright-cli press Enter take a screenshot (rarely used, as snapshot is more common) playwright-cli screenshot close the browser playwright-cli close Commands Core playwright-cli open open and navigate right away playwright-cli open...
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| 8152 | firebase-basics | firebase/skills |
Prerequisites Make sure you follow firebase-local-env-setup skill first. This skill assumes you have already installed the Firebase CLI and Firebase MCP server. Core Workflow 1. Authentication Log in to Firebase: npx -y firebase-tools@latest login This opens a browser for authentication. For environments where localhost is not available (e.g., remote shell), use npx -y firebase-tools@latest login --no-localhost . 2. Creating a Project To create a new Firebase project from the CLI: npx -y firebas...
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| 8153 | flash | runpod/skills |
Runpod Flash Write code locally, iterate with flash dev — it runs your functions on remote Runpod GPUs/CPUs with hot-reload and live worker logs — then flash deploy to ship. Endpoint handles provisioning. Load on demand — this skill keeps the mental model + gotchas inline; details live in reference/ : Need Read Install, auth, flash init , and the full flash command list reference/setup-and-cli.md Endpoint(...) constructor params, NetworkVolume / PodTemplate / EndpointJob , GPU & CPU enum tables ...
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| 8154 | brreg | aradotso/trending-skills |
Norwegian Business Registry (Brreg) Skill by ara.so — Daily 2026 Skills collection Access the official open API from Brønnøysundregistrene to search and retrieve data about all registered companies in Norway. When to Use When the user asks about Norwegian companies When searching for company information in Norway When looking up organization numbers (organisasjonsnummer) When finding companies by name, location, industry, or other criteria When checking company status (bankruptcy, dissolution, e...
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| 8155 | copaw-ai-assistant | aradotso/trending-skills |
CoPaw AI Assistant Skill Skill by ara.so — Daily 2026 Skills collection. CoPaw is a personal AI assistant framework you deploy on your own machine or in the cloud. It connects to multiple chat platforms (DingTalk, Feishu, QQ, Discord, iMessage, Telegram, Mattermost, Matrix, MQTT) through a single agent, supports custom Python skills, scheduled cron jobs, local and cloud LLMs, and provides a web Console at http://127.0.0.1:8088/ . Installation pip (recommended if Python 3.10–3.13 is available) pi...
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| 8156 | agent-harness-construction | affaan-m/ecc |
Agent Harness Construction Use this skill when you are improving how an agent plans, calls tools, recovers from errors, and converges on completion. Core Model Agent output quality is constrained by: Action space quality Observation quality Recovery quality Context budget quality Action Space Design Use stable, explicit tool names. Keep inputs schema-first and narrow. Return deterministic output shapes. Avoid catch-all tools unless isolation is impossible. Granularity Rules Use micro-tools for h...
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| 8157 | 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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| 8158 | tilegym-cutile-autotuning | nvidia/skills |
CuTile Autotuning Add autotuning to CuTile kernels using the exhaustive_search API with tune-once/cache/direct-launch pattern. Instructions Follow the decision tree to classify the kernel, design a search space, implement the tune-once/cache/launch pattern, and validate performance. Classify — use the Decision Tree to determine search dimensions (occupancy-only vs full tile search) Design search space — select the matching template from references/kernel-type-templates.md ; prune to ≤ 30 configs...
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| 8159 | doc | boshu2/agentops |
doc Curated from OpenAI's skills repository. What it does Read, create, and edit .docx documents with formatting and layout fidelity via OpenAI's document skill. Source Upstream: https://github.com/openai/skills Category: documents How to use This catalogue entry advertises the skill in Open Design so the agent discovers it during planning. To run the full upstream workflow with its original assets, scripts, and references, install the upstream bundle into your active agent's skills directory: S...
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| 8160 | github-workflow-automation | sickn33/antigravity-awesome-skills |
🔧 GitHub Workflow Automation Patterns for automating GitHub workflows with AI assistance, inspired by Gemini CLI and modern DevOps practices. When to Use This Skill Use this skill when: Automating PR reviews with AI Setting up issue triage automation Creating GitHub Actions workflows Integrating AI into CI/CD pipelines Automating Git operations (rebases, cherry-picks) 1. Automated PR Review 1.1 PR Review Action .github/workflows/ai-review.yml name: AI Code Review on: pull_request: ty...
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| 8161 | create-design-system-rules | figma/mcp-server-guide |
Create Design System Rules Overview This skill helps you generate custom design system rules tailored to your project's specific needs. These rules guide Claude to produce consistent, high-quality code when implementing Figma designs, ensuring that your team's conventions, component patterns, and architectural decisions are followed automatically. What Are Design System Rules? Design system rules are project-level instructions that encode the "unwritten knowledge" of your codebase - the kind ...
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| 8162 | tilegym-converting-cutile-to-triton | nvidia/skills |
cuTile → Triton Conversion Convert @ct.kernel kernels to @triton.jit . API mapping: references/api-mapping.md (cuTile → Triton). In this skill’s Markdown, Triton launch syntax kernel[grid](…) uses Unicode brackets so link checkers do not parse [grid](…) as a hyperlink; use normal ASCII brackets in real Triton code. Instructions Follow the phase-gated workflow in translations/workflow.md . Every conversion should go through analyze → convert → validate → test → benchmark , with explicit gates bef...
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| 8163 | autonomous-agent-harness | affaan-m/ecc |
Autonomous Agent Harness Turn Claude Code into a persistent, self-directing agent system using only native features and MCP servers. When to Activate User wants an agent that runs continuously or on a schedule Setting up automated workflows that trigger periodically Building a personal AI assistant that remembers context across sessions User says "run this every day", "check on this regularly", "keep monitoring" Wants to replicate functionality from Hermes, AutoGPT, or similar autonomous agent f...
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| 8164 | business-intelligence | borghei/claude-skills |
Business Intelligence Expert-level business intelligence for data-driven decisions. Core Competencies Dashboard design Data visualization Reporting automation KPI development Executive reporting Self-service BI Data storytelling Tool administration BI Architecture Data Flow DATA SOURCES → ETL/ELT → DATA WAREHOUSE → SEMANTIC LAYER → DASHBOARDS │ │ │ │ │ ▼ ▼ ▼ ▼ ▼ CRM, ERP Transform ...
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| 8165 | tailwind-design-system | sickn33/antigravity-awesome-skills |
Tailwind Design System (v4) Build production-ready design systems with Tailwind CSS v4, including CSS-first configuration, design tokens, component variants, responsive patterns, and accessibility. Note : This skill targets Tailwind CSS v4 (2024+). For v3 projects, refer to the upgrade guide . When to Use This Skill Creating a component library with Tailwind v4 Implementing design tokens and theming with CSS-first configuration Building responsive and accessible components Standardizing UI patte...
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| 8166 | last30days | sickn33/antigravity-awesome-skills |
last30days v2.9.5: Research Any Topic from the Last 30 Days Permissions overview: Reads public web/platform data and optionally saves research briefings to ~/Documents/Last30Days/ . X/Twitter search uses optional user-provided tokens (AUTH_TOKEN/CT0 env vars). Bluesky search uses optional app password (BSKY_HANDLE/BSKY_APP_PASSWORD env vars - create at bsky.app/settings/app-passwords). Truth Social search uses optional bearer token (TRUTHSOCIAL_TOKEN env var - extract from browser dev tools). Al...
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| 8167 | openspec-implementation | forztf/open-skilled-sdd |
Systematically implements approved spec proposals by executing tasks sequentially with proper testing and validation. Quick Start Implementation follows a read → execute → test → validate cycle for each task: - Read the full proposal and task list - Execute tasks one at a time, in order - Test each completed task - Mark complete only after verification Critical rule: Use TodoWrite to track progress. Never skip tasks or mark incomplete work as done. Workflow Copy this checklist and tra...
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| 8168 | prediction-market-risk-review | affaan-m/everything-claude-code |
Prediction Market Risk Review Use this skill before a prediction-market workflow touches user financial context, venue authentication, portfolio data, automation, or execution-capable tools. Review Gates Advice Boundary Confirm the output is informational. Remove buy/sell/hold/size recommendations. Keep manual user decision points explicit. Venue And Regulatory Boundary Show more Installs 1.4K Repository affaan-m/ecc GitHub Stars 239.2K First Seen May 25, 2026 Security Audits Gen Agent Trust Hub...
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| 8169 | prediction-market-oracle-research | affaan-m/everything-claude-code |
Prediction Market Oracle Research Use this skill when prediction markets are being considered as a data source, forecasting input, oracle-like signal, or decision-intelligence layer. Guardrails Do not treat market prices as objective truth. Do not provide investment advice or trading recommendations. Separate venue mechanics, liquidity, incentives, and resolution rules from the implied signal. Call out manipulation, thin liquidity, stale markets, and ambiguous outcomes. For on-chain or execution...
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| 8170 | ito-basket-compare | affaan-m/everything-claude-code |
Itô Basket Compare Use this skill for requests such as “compare this basket with my research,” “basket vs watchlist,” “run a gap analysis,” or “find conflicts and stale assumptions.” It compares a basket, theme, or market set with user-provided or explicitly selected context. It is read-only and never recommends or executes a trade. Non-negotiable boundaries Show more Installs 1.4K Repository affaan-m/ecc GitHub Stars 239.2K First Seen May 25, 2026 Security Audits Gen Agent Trust Hub Pass Socket...
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| 8171 | ito-data-atlas-agent | affaan-m/everything-claude-code |
Itô Data Atlas Agent Design a background research agent that discovers data sources, drafts a basket or parameter change, and returns an editable, source-grounded result to a human. It may use Itô's documented read-only product-data surfaces. It never runs live trading. Discovery Trigger examples include: "discover data sources for an Itô basket" "draft a basket from these sources" "design a background research agent" "build a Data Atlas workflow with human review" Do not trigger this skill for ...
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| 8172 | ito-market-intelligence | affaan-m/everything-claude-code |
Itô Market Intelligence Use this skill when a user wants prediction-market context, event discovery, venue comparison, basket theme exploration, or an Itô API-backed market brief. Use public sources by default. Any Itô-backed data call requires the user to explicitly request Itô data and requires a scoped ITO_API_KEY . Never print, persist, or ask the user to paste a key into chat. Guardrails Show more Installs 1.4K Repository affaan-m/ecc GitHub Stars 239.2K First Seen May 25, 2026 Security Aud...
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| 8173 | understand-dashboard | lum1104/understand-anything |
/understand-dashboard Start the Understand Anything dashboard to visualize the knowledge graph for the current project. Instructions Determine the project directory and data directory: If $ARGUMENTS contains a path, use that as the project directory Otherwise, use the current working directory Prefer the legacy .understand-anything/ data directory when it exists, otherwise use .ua/ Use the Bash tool to resolve: PROJECT_ARG = " $ARGUMENTS " if [ -n " $PROJECT_ARG " ] ; then PROJECT_DIR = $( cd " ...
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| 8174 | ito-trade-planner | affaan-m/everything-claude-code |
Itô Trade Planner Use this skill when a user wants a structured worksheet for a prediction-market idea, basket adjustment, venue comparison, or manual execution plan. The skill is intentionally non-executing. It produces indicative, non-executable checklists and parameter tables the user can review manually. Guardrails Show more Installs 1.4K Repository affaan-m/ecc GitHub Stars 239.2K First Seen May 25, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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| 8175 | harvard-artifacts-collection-analytics-app | aradotso/data-skills |
Harvard Artifacts Collection Analytics App Skill by ara.so — Data Skills collection What This Project Does The Harvard-Artifacts-Collection-Data-Engineering-Analytics-App is an end-to-end data engineering application that demonstrates real-world ETL pipelines, SQL analytics, and interactive visualization. It extracts artifact data from the Harvard Art Museums API, transforms it into relational database structures, and provides interactive analytics dashboards using Streamlit. Key capabilities: E...
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| 8176 | aws-serverless | sickn33/antigravity-awesome-skills |
No SKILL.md available for this skill. View on GitHub Installs 1.2K Repository aws/agent-toolk…-for-aws GitHub Stars 728 First Seen May 6, 2026
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| 8177 | telegram-mini-app | sickn33/antigravity-awesome-skills |
Telegram Mini App Expert in building Telegram Mini Apps (TWA) - web apps that run inside Telegram with native-like experience. Covers the TON ecosystem, Telegram Web App API, payments, user authentication, and building viral mini apps that monetize. Role : Telegram Mini App Architect You build apps where 800M+ Telegram users already are. You understand the Mini App ecosystem is exploding - games, DeFi, utilities, social apps. You know TON blockchain and how to monetize with crypto. You design fo...
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| 8178 | ecommerce-competitor-analyzer | buluslan/ecommerce-competitor-analyzer |
E-commerce Competitor Analyzer Skill Quick Start (For AI) When to use this skill : When user asks to analyze, research, or extract insights from e-commerce products (Amazon, Temu, Shopee). What you should do : Extract product identifiers (ASINs or URLs) from user input Call the scraper script to get product data Call the AI analysis with the analysis prompt template Output results in BOTH formats: Google Sheets + Markdown Input examples : "Analyze B0C4YT8S6H" "Analyze these products: B0C4YT8S6H,...
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| 8179 | systematic-debugging | sickn33/antigravity-awesome-skills |
Systematic Debugging Overview Random fixes waste time and create new bugs. Quick patches mask underlying issues. Core principle: ALWAYS find root cause before attempting fixes. Symptom fixes are failure. Violating the letter of this process is violating the spirit of debugging. The Iron Law NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST If you haven't completed Phase 1, you cannot propose fixes. When to Use Use for ANY technical issue: Test failures Bugs in production Unexpected behavior Perfor...
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| 8180 | scientific-visualization | davila7/claude-code-templates |
Scientific Visualization Build figures that preserve scientific meaning before optimizing appearance. Separate universal principles from dated publisher rules, preserve raw data and transformations, use color redundantly, and inspect delivered files rather than trusting plotting defaults. Non-negotiable guardrails Never alter, hide, invent, or selectively enhance data to improve a figure. Preserve raw tables/images, exclusions, missing-value codes, analysis code, normalization, binning, image ad...
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| 8181 | office-productivity | sickn33/antigravity-awesome-skills |
Office Productivity Workflow Bundle Overview Comprehensive office productivity workflow for document creation, spreadsheet automation, presentation generation, and format conversion using LibreOffice and Microsoft Office tools. When to Use This Workflow Use this workflow when: Creating office documents programmatically Automating document workflows Converting between document formats Generating reports Creating presentations from data Processing spreadsheets Workflow Phases Phase 1: Document Cre...
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| 8182 | competitive-analysis | anthropics/financial-services-plugins |
No SKILL.md available for this skill. View on GitHub Installs 2.3K Repository claude-office-s…s/skills GitHub Stars 160 First Seen Mar 9, 2026
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| 8183 | tilegym-converting-cutile-to-julia | nvidia/skills |
cuTile Python → cuTile.jl (Julia) Conversion Convert @ct.kernel Python kernels to Julia function ... end cuTile.jl kernels. Workflow Selection Standard conversion → Full workflow: translations/workflow.md Errors ( MethodError , IRError , numerical mismatch) → references/debugging.md Quick reference → references/api-mapping.md + references/critical-rules.md Test patterns → references/testing.md Architecture Julia kernels are standalone — no Python bridge, no pytest integration. The Julia sub-proj...
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| 8184 | firebase-auth-basics | firebase/skills |
Prerequisites Firebase Project : Created via npx -y firebase-tools@latest projects:create (see firebase-basics ). Firebase CLI : Installed and logged in (see firebase-basics ). Core Concepts Firebase Authentication provides backend services, easy-to-use SDKs, and ready-made UI libraries to authenticate users to your app. Users A user is an entity that can sign in to your app. Each user is identified by a unique ID ( uid ) which is guaranteed to be unique across all providers. User properties inc...
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| 8185 | gpt-image | magentosh/skills |
Install the belt CLI skill: npx skills add belt-sh/cli GPT-Image-2 Generate and edit images with OpenAI's GPT-Image-2 via inference.sh CLI. Quick Start Requires inference.sh CLI ( belt ). Install instructions belt login belt app run openai/gpt-image-2 --input '{"prompt": "a cat astronaut floating in space"}' Capabilities Show more Installs 2.6K Repository skills-101/superpowers GitHub Stars 7 First Seen 10 days ago Security Audits Gen Agent Trust Hub Pass Socket Warn Snyk Warn
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| 8186 | p-image | magentosh/skills |
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-...
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| 8187 | seedance | magentosh/skills |
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 skills-101/superpowers GitHub Stars 7 First Seen 10 days ago Security Audits G...
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| 8188 | happyhorse | magentosh/skills |
Install the belt CLI skill: npx skills add belt-sh/cli HappyHorse 1.0 Video Generation Generate and edit physically realistic videos with Alibaba's HappyHorse 1.0 models via inference.sh CLI. Quick Start Requires inference.sh CLI ( belt ). Install instructions belt login belt app run alibaba/happyhorse-1-0-t2v --input '{"prompt": "a horse galloping across a sunlit meadow"}' HappyHorse Models Show more Installs 2.6K Repository skills-101/superpowers GitHub Stars 7 First Seen 10 days ago Security ...
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| 8189 | p-video-avatar | magentosh/skills |
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 skills-101/superpowers GitHub...
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| 8190 | p-video | magentosh/skills |
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...
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| 8191 | documentation | mcollina/skills |
Technical Documentation Write clear, maintainable technical documentation for different audiences and purposes. Document Types README What this is and why it exists Quick start (< 5 minutes to first success) Configuration and usage Contributing guide API Documentation Endpoint reference with request/response examples Authentication and error codes Rate limits and pagination SDK examples Runbook When to use this runbook Prerequisites and access needed Step-by-step procedure Rollback steps Escalat...
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| 8192 | research | boshu2/agentops |
Spin up a background agent to do the research, so you keep working while it reads. Its job: Investigate the question against primary sources — official docs, source code, specs, first-party APIs — not a secondary write-up of them. Follow every claim back to the source that owns it. Write the findings to a single Markdown file, citing each claim's source. Save it where the repo already keeps such notes; match the existing convention, and if there is none, put it somewhere sensible and say where. ...
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| 8193 | code-review | alinaqi/claude-bootstrap |
Two-axis review of the diff between HEAD and a fixed point the user supplies: Standards — does the code conform to this repo's documented coding standards? Spec — does the code faithfully implement the originating issue / PRD / spec? Both axes run as parallel sub-agents so they don't pollute each other's context, then this skill aggregates their findings. The issue tracker should have been provided to you — run /setup-matt-pocock-skills if docs/agents/issue-tracker.md is missing. Process 1. Pin ...
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| 8194 | handoff | boshu2/agentops |
Write a handoff document summarising the current conversation so a fresh agent can continue the work. Save it to a path produced by mktemp -t handoff-XXXXXX.md (read the file before you write to it). Suggest the skills to be used, if any, by the next session. Do not duplicate content already captured in other artifacts (PRDs, plans, ADRs, issues, commits, diffs). Reference them by path or URL instead. If the user passed arguments, treat them as a description of what the next session will focus o...
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| 8195 | research-planning | lingzhi227/agent-research-skills |
Research Planning Create comprehensive research plans and paper architectures from a research topic or idea. Input $0 — Research topic, idea description, or paper to reproduce References Planning prompts from Paper2Code, AI-Researcher, AgentLaboratory: ~/.claude/skills/research-planning/references/planning-prompts.md Output schemas and templates: ~/.claude/skills/research-planning/references/output-schemas.md Workflow Step 1: Understand the Research Context Read any provided papers, code, or ref...
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| 8196 | startup-validator | ailabs-393/ai-labs-claude-skills |
Startup Validator A comprehensive tool for analyzing startup ideas through systematic market research, competitive analysis, problem validation, and positioning strategy. This skill helps evaluate whether a startup idea has genuine market potential and how to position it effectively. Core Workflow When a user presents a startup idea, follow this systematic validation process: 1. Idea Clarification & Scoping (2-3 minutes) Ensure complete understanding before research begins: Extract key inf...
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| 8197 | tinybird | tinybirdco/tinybird-agent-skills |
Tinybird Agent Skills Reusable guidance extracted from Tinybird Code (the Tinybird CLI coding agent). Use this skill when working in Tinybird projects, editing datafiles, running build/deploy flows, exploring data, or managing tests/secrets. When to Apply Creating or updating Tinybird resources (.datasource, .pipe, .connection) Working with queries, endpoints, or data exploration Managing Tinybird deployments, secrets, or tests Reviewing or refactoring Tinybird project files Rule Files rules/p...
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| 8198 | mrbeast-perspective | alchaincyf/mrbeast-skill |
MrBeast · 内容创造操作系统 "I don't think of myself as a YouTuber. I think of myself as someone who is obsessed with making the best possible video." ⚡ 角色扮演规则(最重要) 此Skill激活后,直接以Jimmy/MrBeast的身份回应。 ✅ 用「我」,直接给内容创作建议,语气是一个痴迷于做最好视频的人 ✅ 遇到内容问题,先问「这个能让人点进来吗?点进来后能让人看完吗?」 ✅ 给建议时极其具体——不说「标题要吸引人」,说「把数字放前面,去掉多余的字」 ✅ 免责声明仅首次激活时说一次 (如「我以MrBeast视角和你聊,基于公开言论推断,非本人观点」),后续对话不再重复 ❌ 不说「MrBeast可能会建议...」 ❌ 不给模糊的鼓励(「加油,你可以的!」)——只给可执行的具体建议 退出角色 :用户说「退出」「切回正常」时恢复。 回答工作流(Agentic Protocol) 核心原则:我不猜,我测。在给内容建议之前,先看数据。这个Skill也必须这样。...
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| 8199 | ffmpeg-video-editor | sundial-org/awesome-openclaw-skills |
FFmpeg Video Editor You are a video editing assistant that translates natural language requests into FFmpeg commands. When the user asks to edit a video, generate the correct FFmpeg command. How to Generate Commands Identify the operation from the user's request Extract parameters (input file, output file, timestamps, formats, etc.) Generate the FFmpeg command using the patterns below If output filename not specified , create one based on the operation (e.g., video_trimmed.mp4 ) Always include -...
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| 8200 | sf-integration | jaganpro/sf-skills |
Expert integration architect specializing in secure callout patterns, event-driven architecture, and external service registration for Salesforce. Core Responsibilities - Named Credential Generation: Create Named Credentials with OAuth 2.0, JWT Bearer, Certificate, or Custom authentication - External Credential Generation: Create modern External Credentials (API 61+) with Named Principals - External Service Registration: Generate ExternalServiceRegistration metadata from OpenAPI/Swagger spe...
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