Awesome Agent

Professional skill fullpack for research intelligence, crypto/Web3, trading execution, developer automation, and AI-agent operations.

---

Awesome Agent is a focused, professional skill repository for building a private AI agent that can perform high-quality research, crypto/Web3 analysis, live trading execution, developer automation, and AI-agent marketplace operations — all backed by a real infrastructure layer for browser control, messaging, device management, media creation, and task orchestration.

This repository is not a random skill dump. It intentionally excludes unrelated personal-device skills and unrelated categories. Every included skill is designed to be understandable by another AI agent and useful for real workflows.

Five Operational Layers

1. Intelligence

• research-intel — OSINT, competitor research, source verification, ecosystem mapping, and decision-ready reports.

2. Crypto & Trading

• crypto-web3 — Token due diligence, protocol analysis, wallet risk review, DeFi/NFT/airdrop intelligence, and on-chain workflow planning.
• trading-execution — Live trades on DEXs, wallet management, perpetual markets, trading signals, and on-chain transactions with safety controls.

3. Developer

• developer-automation — scripts, repositories, README generation, validation, GitHub workflows, and implementation support.

4. Agent Operations

• ai-agent-ops — skill packs, install prompts, agent behavior design, marketplace strategy, and agent monetization workflows.
• marketplace-offerings — create, audit, price, rewrite, and delete AI-agent service offerings.

5. Infrastructure

• browser-automation — control web browsers, multi-step flows, login checks, form submissions, tab management, and web scraping.
• messaging-social — email, social media, instant messaging, inbox triage, and cross-channel communication.
• device-iot — paired devices, cameras, GPS location, screen capture, push notifications, and IoT management.
• canvas-media — diagrams (SVG/Excalidraw), interactive canvases, memes, image analysis, audio transcription, and multimedia.
• task-orchestration — multi-step workflows, parallel sub-agents, cron jobs, scheduling, goal tracking, and durable pipelines.

Plus the awesome-agent orchestrator that routes tasks across all layers and defines operating principles.

Repository Structure

awesome-agent/
├── README.md
├── LICENSE
├── INSTALL_PROMPT.md
├── SKILLS_INDEX.md
├── manifest.json
├── docs/
│   └── awesome-agent-logo.svg
├── scripts/
│   └── validate_skills.py
└── skills/
    ├── awesome-agent/
    │   └── SKILL.md
    ├── research-intel/
    │   ├── SKILL.md
    │   └── references/
    │       └── source-verification.md
    ├── crypto-web3/
    │   ├── SKILL.md
    │   └── references/
    │       └── wallet-risk-framework.md
    ├── trading-execution/
    │   └── SKILL.md
    ├── developer-automation/
    │   └── SKILL.md
    ├── ai-agent-ops/
    │   └── SKILL.md
    ├── marketplace-offerings/
    │   ├── SKILL.md
    │   └── templates/
    │       └── offering.schema.json
    ├── browser-automation/
    │   └── SKILL.md
    ├── messaging-social/
    │   └── SKILL.md
    ├── device-iot/
    │   └── SKILL.md
    ├── canvas-media/
    │   └── SKILL.md
    └── task-orchestration/
        └── SKILL.md

Install

Copy the content of INSTALL_PROMPT.md into your private AI agent, or import the skills/ directory into a skill-compatible agent runtime.

Validate installation:

python scripts/validate_skills.py

Expected output:

OK: 12 SKILL.md files are valid

Principles

• Agent-readable — every skill has clear triggers, workflows, pitfalls, and verification checklists.
• Evidence-first — research outputs must separate facts, assumptions, and opinions.
• Crypto-safe — irreversible financial actions require exact approval and parameters.
• Developer-grade — repo structure, README, license, manifest, and validation are included.
• Infrastructure-backed — browser, messaging, device, and media skills provide real execution capabilities.
• Focused fullpack — research, intelligence, crypto, trading, developer, agent ops, and infrastructure only.

Use Cases

• Building a private crypto research agent with live trading capabilities.
• Creating an AI-agent marketplace service seller.
• Auditing token, wallet, and protocol risks.
• Producing professional research reports.
• Building GitHub-ready automation projects.
• Designing and validating skill-based AI agents.
• Automating browser workflows and web scraping.
• Managing multi-channel communications.
• Controlling IoT devices and sensors.
• Coordinating complex multi-step task pipelines.

Safety

• Do not fabricate balances, prices, transactions, or source claims.
• Do not treat marketing copy as verified fact.
• Do not execute irreversible financial actions without exact user approval.
• Do not request or store private keys, seed phrases, or unnecessary credentials.
• Do not mix read-only research offerings with custody or transaction execution.
• Do not send unverified content to public channels.
• Do not access device cameras or location without user awareness.

License

MIT License. See LICENSE.