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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
Skill for end-to-end predictive maintenance: explores raw IoT telemetry in S3, engineers features, trains AutoML models (RUL regression, failure classification, multi-label classification, or survival
OfficialSkillMIT-0★ 8No key
Fellow: experimentation engine — runs controlled benchmark experiments to validate skill improvements.
SkillMITFew starsNo key
Omnichannel marketing and SEO automation engine.
SkillMIT★ 8No key
SkillApache-2.0★ 9No key
Evidence-first AI Agent Skills for growth marketing — multi-channel analytics (SEO, paid media, social, local search, CRM), secure account integration, AI evaluation, experimentation & approval-safe o
SkillMIT★ 1Few starsNo key
Your personal Physics informed Machine learning AI scientist
SkillMIT★ 5No key
SkillApache-2.0★ 9No key
Marketing and product skill pack for positioning, launch planning, SEO, pricing, growth, messaging, and product strategy.
SkillMIT★ 4Few starsNo key
Coding Agents skills for systematically evaluating LLM pipelines on the orq.ai platform
SkillMIT★ 6No key
Agent skills for development.
SkillApache-2.0★ 4Few starsNo key
Agent Skill that spins up disposable, fully-provisioned Ubuntu VMs for safe, isolated experimentation.
SkillApache-2.0★ 1Few starsNo key
Insights, experimentation and personalization for WordPress. Self-learning loops to automatically iterate on content.
SkillMIT★ 8No key
Any Experiment Loop (AEL) is a local-first autoresearch harness
SkillMIT★ 3Few starsNo key
SkillMIT★ 7No key
NAMAMI Habit Tracker is an offline-first habit tracker, designed for private on-device tracking with streaks, insights, rewards, and zero backend dependency.
SkillMIT★ 1Few starsNo key
Ready Agent 1 — is your codebase ready for the agents? Score agent-readiness (deterministic, cited, Level 1-5) and clear the gates.
SkillMIT★ 3Few starsNo key
A comprehensive Prompt Engineering library featuring reusable prompt templates, patterns, best practices, and real-world examples for modern Large Language Models (LLMs).
SkillMIT★ 4Few starsNo key
SkillMIT★ 8No key
Self-hosted SEC filing agent dev kit born from Sentient Arena, with XBRL-backed answers, local traces, agent skills, and an EvoSkill integration.
SkillMIT★ 2Few starsNo key
A structured, hypothesis-driven methodology for debugging production incidents — built around the maximum-pain principle. Packaged as an agent skill (MIT).
SkillMIT★ 2Few starsNo key
A runtime-neutral specification for selecting and composing the best-fit Agent Skills, capability providers, safety gates, and verification.
SkillMIT★ 1Few starsNo key
Spawn a conference of autonomous researchers that compete, collaborate, and synthesize breakthroughs.
SkillMIT★ 4Few starsNo key
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