Search Results for "fast-agent-ai" | AgentCC

crewai-multi-agent

Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution.

AgentsCrewAIMulti-Agent+7

pufferlib

High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game environments (Atari, Procgen, NetHack). Achieves 2-10x speedups over standard implementations. For quick prototyping or standard algorithm implementations with extensive documentation, use stable-baselines3 instead.

clawd-presence

Physical presence display for AI agents. Shows a customizable monogram (A-Z), status state, and current activity on a dedicated terminal/screen. Provides faster feedback than chat - glance at the display to see what the agent is doing. Use when setting up always-on agent visibility.

Agent Browser

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.

gitclassic

Fast, no-JavaScript GitHub browser optimized for AI agents. Browse public repos, read files, view READMEs with sub-500ms load times. PRO adds private repo access via GitHub OAuth.

python-development

Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices. Use for Python projects, APIs, data processing, or automation scripts.

mcp-builder

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Agent Browser

Am Will Codex Skills Agent Browser

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.

avoid-feature-creep

Waynesutton Convexskills Avoid Feature Creep

Prevent feature creep when building software, apps, and AI-powered products. Use this skill when planning features, reviewing scope, building MVPs, managing backlogs, or when a user says "just one more feature." Helps developers and AI agents stay focused, ship faster, and avoid bloated products.

fastgpt-workflow-generator

Generates production-ready FastGPT workflow JSON from natural language requirements. Uses AI-powered semantic template matching from built-in workflows (document translation, sales training, resume screening, financial news). Performs three-layer validation (format, connections, logic completeness). Supports incremental modifications to add/remove/modify nodes. Activates when user asks to "create FastGPT workflow", "generate workflow JSON", "design FastGPT application", or mentions workflow automation, multi-agent systems, or FastGPT templates.

testability

Make features testable by design. Testing pyramid from fast (local) to slow (UI). Expose APIs securely for testing.

reasoningbank-with-agentdb

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.

agentdb-performance-optimization

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.

agentdb-vector-search-optimization

Optimize AgentDB vector search performance using quantization for 4-32x memory reduction, HNSW indexing for 150x faster search, caching, and batch operations for scaling to millions of vectors.

testing-ai-agents

Use when testing AI agent code with pytest. Covers TDD for agent APIs, mocking LLM calls (NOT evaluating LLM outputs), pytest-asyncio patterns, FastAPI testing with httpx, SQLModel testing, and agent tool testing. NOT for evaluating LLM reasoning quality (use evals skill).

bun

Build fast applications with Bun JavaScript runtime. Use when creating Bun projects, using Bun APIs, bundling, testing, or optimizing Node.js alternatives. Triggers on Bun, Bun runtime, bun.sh, bunx, Bun serve, Bun test, JavaScript runtime.

Agent Browser Automation

Fast Rust-based headless browser automation CLI with Node.js fallback for AI agents, featuring navigation, clicking, typing, snapshots, and structured commands optimized for agent workflows.

browser-automationheadless-chromerust+4

morph-warpgrep

Integration guide for Morph's WarpGrep (fast agentic code search) and Fast Apply (10,500 tok/s code editing). Use when building coding agents that need fast, accurate code search or need to apply AI-generated edits to code efficiently. Particularly useful for large codebases, deep logic queries, bug tracing, and code path analysis.

schedule-compression

datadrivenconstruction

Compress construction schedules using crashing and fast-tracking techniques. Analyze cost-time tradeoffs and find optimal acceleration strategies.

parquet-converter

datadrivenconstruction

Convert construction data to/from Parquet format. Optimize storage, enable fast queries, and integrate with data lakehouses.

software-backend

Production-grade backend service development across Node.js (Express/Fastify/NestJS/Hono), Bun, Python (FastAPI), Go, and Rust (Axum), with PostgreSQL and common ORMs (Prisma/Drizzle/SQLAlchemy/GORM/SeaORM). Use for REST/GraphQL/tRPC APIs, auth (OIDC/OAuth), caching, background jobs, observability (OpenTelemetry), testing, deployment readiness, and zero-trust defaults.

warnerco-schematica

timothywarner-org

Develop and extend the WARNERCO Robotics Schematica system - an agentic RAG application with FastAPI, FastMCP, LangGraph orchestration, and 3-tier memory (JSON/Chroma/Azure AI Search). Use when working on the schematica backend, adding schematics, modifying the LangGraph flow, updating dashboards, or deploying to Azure.

skill-lister

Use this skill to discover all available AgenticDev skills and their capabilities. Provides a bootstrap context for AI agents by listing all skills, their descriptions, and script paths from the .claude/skills/ directory. Implemented as a pure Bash helper, it enumerates skill name, description, script paths, and directory location; the -j flag emits JSON for programmatic consumption. Use it at session start, during onboarding, before selecting a skill for a task, or when auditing and verifying installation. Key features include fast repository-wide discovery, standardized metadata parsing, script path enumeration, and optional JSON output for integration with agents or CI workflows. Core advantages: reduces manual exploration, bootstraps AI agents with accurate capability context, and simplifies documentation and automation.

python

Guide for writing clean, efficient, idiomatic Python 3.11+ code. Enforces type hints, Pydantic v2 for APIs, comprehensions over loops, EAFP error handling. Triggers on "python", "pythonic", ".py file", "write python", "python script", "python function", "python class", "pydantic", "fastapi", "pytest", "type hint", "typing", "dataclass", "async def", "asyncio", "aiohttp", "comprehension", "generator", "decorator", "context manager", "with statement", "exception handling", "try except", "raise", "logging python", "argparse", "click", "typer", "__init__", "__main__", "import", "from import", "python module", "python package", "requirements.txt", "pyproject.toml", "ruff", "mypy", "black", "isort", "python testing", "fixture", "parametrize", "edit .py", "modify .py", "update .py", "change .py", "fix .py", "refactor .py", "edit python", "modify python", "update python", "change python", "fix python code". PROACTIVE: MUST invoke BEFORE using Write OR Edit on ANY .py file.

project-index

Generate and maintain a project structure index for fast AI navigation. Creates docs/structure.md with an AI-friendly map + tree. Use when starting a new project, after major changes, or when docs/structure.md is stale.

executing-ai-development-workflow

Execute a structured, AI-driven development workflow that covers research, planning, implementation, optional multi-layer review (4 sub-agents + /review + CodeRabbit CLI), priority-based fix cycles, and PR creation. Supports two modes: Light (fast, default) and Full (quality-focused with reviews). Use this when implementing new features, performing large refactorings, starting feature development, or when the user requests an "AI development workflow", "feature workflow", "planned implementation", "execute development process", "quality-focused implementation", or "development with multi-layer review".

challenge

digital-stoic-org

Challenge, push back, play devil's advocate on AI output. Use when: challenge this, are you sure, push back, prove it, what if you're wrong, devil's advocate, stress test, poke holes, second opinion, sanity check, too confident, really?, question this decision. Subcommands: anchor (committed too fast), verify (facts wrong?), framing (wrong problem?), deep (full devil's advocate in separate context).

agentic-ai-dev

This skill provides patterns and templates for building production AI agents with Python 3.13, LangChain v1.2.8, LangGraph v1.0.7, and FastAPI 0.128.x. Use when creating AI agents, RAG systems, graph workflows, tools, memory systems, or agent tests.

Vite

Fast build tool with HMR for modern web development. Trigger: When configuring Vite, setting up a dev server, or optimizing builds.

Agent Browser

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.

bun