Senior engineer
Build, reason, ship.
Build, reason, ship.
Turn intent into a polished interface.
Find demand, write for humans, distribute.
Check the product, not just the code.
Keep decisions, delivery and team context connected.
Make technical work clear and reusable.
Plan, create and publish with a consistent voice.
Create video, motion and post-production faster.
Stay close to the signal and recent evidence.
Multi-role playbooks for an AI-native team.
A council of several LLMs that answer hard questions together.
Turns project tasks into isolated autonomous runs so teams manage work instead of babysitting coding agents.
Self-improving agent from Nous Research with a built-in learning loop; desktop build, MIT.
Open app for managing working agents.
Developer control plane: a dashboard for your own AI agents.
Ready-made set of digital-agency agents (frontend, community, review), each with its own role and process.
Open terminal agent that runs anywhere and uses any LLM.
Spec-driven skill that spawns subagents for repository tasks.
Free MIT gateway: one endpoint, 290+ providers (90+ free), 500+ models; quota fallback, context compression, MCP/A2A.
Collection of free/bypass providers for language-model access. Legal status and stability of such proxies are unverified.
Platform that feeds up-to-date library documentation to LLMs and AI editors.
Cross-session memory: records agent actions, compresses them with AI, and injects relevant context into later sessions.
Client-side (in-browser, no server) knowledge-graph builder for a repository with a built-in Graph-RAG agent.
Turns a codebase into an interactive knowledge graph you can search and question.
MCP server that indexes a codebase into a persistent knowledge graph: 158 languages, sub-millisecond queries.
A memory upgrade for your coding agent.
Agent memory that learns from experience.
MCP server giving an agent access to the Chroma vector database.
Compresses tool output, logs, files and RAG chunks before they reach the LLM (claimed ~20% for coding agents, 60–95% on JSON). Library, proxy, MCP server.
Enterprise-grade open-source platform for building agents on top of a knowledge base.
Free metasearch engine aggregating results from many engines without tracking users.
Open-source AI pentest tool: finds application vulnerabilities and helps fix them.
Security scanner for agent skills: check what is inside before installing.
Open cloud-security platform: automates security and compliance checks across cloud environments.
Production-grade engineering skills for AI coding agents, covering the lifecycle from specification and planning through testing, review and release.
Opinionated Claude Code setup with 23 tools spanning CEO, designer, engineering manager, release manager, documentation and QA roles.
Agent-harness optimization system: skills, instincts, memory, security, research-first approach. Formerly everything-claude-code.
Large collection: 135 agents, 35 skills, 42 commands, 176+ plugins, hooks, rules, MCP configs.
Configuration framework: specialized commands, cognitive personas, development methodologies.
Practical guide: setup, prompt engineering, slash commands, skills, hooks, subagents, MCP.
Tree-of-thought with pruning on the Agent SDK: parallel divergence across cognitive frames, then scoring and deepening the survivors.
Skill that stops the agent burying the answer: ADHD-friendly output format.
Strips 20+ common AI-filler patterns out of text.
Local desktop analogue of Claude Design: a coding agent as a design engine (prototypes, landings, dashboards, slides, video) with HTML/PDF/PPTX/MP4 export.
Collection of ready-to-use DESIGN.md files analyzing popular websites so AI agents can generate consistent UI.
Skill for editorial diagrams (29 types per the description, 27 per the README), outputting HTML + SVG instead of Mermaid. Picks up brand style from a site and redraws draw.io files.
Interactive Claude Code skill for making Remotion videos through an expert discussion.
Agent (and MCP) for working with Instagram from the CLI.
Open alternative to Semrush and Ahrefs.
Secure, fast and extensible sandbox runtime for AI agents.
AI agents autonomously running research on training nanochat on a single GPU.
Simple general-purpose swarm-intelligence engine for forecasting.
Real-time full-duplex speech-to-speech model with persona control via a role prompt and voice audio conditioning (Moshi architecture).