Bennaco7539/skill-optimizer
Optimize Agent Skills with session data and static analysis to find trigger gaps, weak workflows, and P0/P1/P2 fixes
Optimize Agent Skills with session data and static analysis to find trigger gaps, weak workflows, and P0/P1/P2 fixes
npx add-skill Bennaco7539/skill-optimizerOptimize Agent Skills with session data and static analysis to find trigger gaps, weak workflows, and P0/P1/P2 fixes
Automate Brightdata tasks via Rube MCP (Composio). Always search tools first for current schemas.
MCP server exposing Stockholm SL transit as AI agent tools — every response tagged with realtime / cached / stale_fallback / scheduled_fallback so the agent always knows how fresh its data is.
One Key. Infinite Skills. The universal skill layer for AI agents. Empower your agents with real-time search, scraping, and connectivity in seconds.
Multitenant backend that lets agents discover and execute against any HTTP API. MCP-native — exposes search and execute tools via the Model Context Protocol. Connectors for GitHub, Jenkins, GitLab, Jira, Kubernetes, Linear, and Slack, plus user-supplied OpenAPI/bare-URL connections.
Harness-agnostic AI-agent skill: indexes a project into PROJECT_INDEX.md with per-file descriptions and wires it into CLAUDE.md, AGENTS.md, Cursor rules, Windsurf rules, Copilot instructions, etc.
A powerful knowledge base management and work-study system. It supports a range of advanced AI features, including multi-role conversations, autonomous multi-turn KB search by Agents, browser automation, session compression, MCP, SKILLS, and bots. The project adopts a decoupled front-end and back-end architecture