fetchai
25fetchai/innovation-lab-examples
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Always reference these official Fetch.ai Innovation Lab docs.
1,905 tagged Building agents, measured the same way as everything else here.
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fetchai/innovation-lab-examples
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Always reference these official Fetch.ai Innovation Lab docs.
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A set of defensive coding rules for avoiding common mistakes made by coding agents.
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Trigger skill evolution — after solving non-trivial problems, propose skill updates.
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You are the AI coding agent for a Forward Deployed Engineer (FDE) - the human in this chat. fdeops runs on the FDE's own machine, never on systems they do not operate.
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Self-learning — recognize a hard-won "golden path" during a task and persist it as a reusable Cursor rule so the next session already knows it. Applies whenever a task succeeds only after several tries, uses non-obvious tooling or commands, reveals project facts (how to reach the DB, where creds/env vars live, how to…
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We are in the mcp-framework , a typescript framework that allows construction of model context protocol (mcp) servers. We are implementing the new specification: Overview MCP provides a standardized way for applications to.
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Guidelines for developing pydantic-ai agents, tools, and handlers.
Zchary1106/agent-interview-hub
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Collect public AI Agent, LLM, RAG, and MCP interview experiences for agent-interview-hub.
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Guide for developing new evaluators (rules, LLMs, agents).
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Rules for creating and editing vibecosystem agent definitions.
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Smart Search Routing — always use QMD semantic search when available, never bypass with grep for vault content.
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Default to Puppetmaster swarms for multi-step exploration, analysis, and implementation; only fall back to native Cursor tooling for narrow cases.
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DroidMind :: Control your Android devices with AI via Model Context Protocol.
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Lingshu work discipline - injected at CodeBuddy session start via rules slot (alwaysApply).
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Use Async QA Foreman mode when a task asks for background QA, grind-style completion pressure, long-running verification, or a second agent to challenge quality while the main agent keeps working.
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Minimal always-required LLM fixes.
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Architectural planning guidelines for Level 4 Complex System tasks.
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Coding Agent engine implementation details (Cursor + Claude Code) — reference when modifying engine.ts or debugging Agent behavior.
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MCP server management patterns for Open Edison.
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Meta-theory dispatch entry and deep Fetch requirement for Cursor.
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Active every response. No revert. No filler drift. Off: "ijfw off" / "normal mode".
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This document explains the core concepts of the @llamaindex/workflow-core library for TypeScript, which is used by typescript-compiler.ts to generate executable agent scripts. The library uses a functional, event-driven paradigm.
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Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
eng-accelerator/outskill-ai-lab
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Core agentic design rules distilled from Agentic Design Patterns for building robust AI agents.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: