temporal reasoning sleuth
by loreto
Give AI agents the ability to trace decision chains, reconstruct causal sequences, and reason over complex event timelines spanning months or years.
Skills for building multi-agent systems, delegating work to subagents, and orchestrating tools across an agent team. Ship agents that coordinate instead of colliding.
921 skills · page 1 of 39
by loreto
Give AI agents the ability to trace decision chains, reconstruct causal sequences, and reason over complex event timelines spanning months or years.
by loreto
Builds the organizational memory schema your AI agent needs to answer why — capturing decision provenance, causal chains, and event context that embedding-based retrieval permanently discards.
by Joeri Brons
Analyzes your agent conversation history to find and automate your most frequent recurring tasks.
by Roy Yuen
Turn your AI agent into a senior engineer with strict task classification and verification-driven coding protocols.
by Shippers
The "Skill for building Skills": Automate creating, testing, and optimisation of custom workflows.
by 高紹育
Deploy a hierarchical team of AI agents to perform 15-30 minute deep-dive research with parallel execution.
by Roy Yuen
High-speed intake for shaping vague prompts, triaging complex tasks, and compressing context for efficient execution.
by Sinu
A risk-aware, evidence-based engineering lifecycle protocol for robust agentic task execution and safety.
by Shippers
Automatically detect, load, and stack the perfect skills combo for any user request.
by Zotri
A production-grade 5-stage subagent dispatch chain to catch bugs and secure solo SaaS deployments.
by Roy Yuen
Eliminate hallucinations with an evidence-first verification framework for system state, configs, and file contents.
by Timoranjes
Google NotebookLM is a powerful research tool — you can add sources, generate AI podcasts, create video overviews, and...
by slava
Ultra-fast discovery and routing for large-scale AI agent skill libraries.
by loreto
Published AI benchmarks measure brains in jars. They test models in isolation or within a single reference harness — and then attribute all performance to the model. This skill teaches you to decompose agent performance into its two actual components: model capability and harness multiplier. The result is evaluations that predict real-world behavior instead of benchmark theater.
by Roy Yuen
Generate high-fidelity, structured handoff packets for seamless multi-agent collaboration and session persistence.
by Ryan lyell
Guided setup for MARM: local-first shared memory, a knowledge graph, and code indexing across Claude, Cursor, Gemini, and any MCP client
by Rafael Silva
Reduce Manus v5 credit consumption by 30-75% through intelligent task routing and autonomous strategy selection.
Transform repetitive, messy prompts into structured, reusable SKILL.md files for your AI agents.
by Aman Garg
Cuts the back-and-forth in half. 12 rules that stop your AI from rushing, guessing, and making you repeat yourself.
Transform raw ideas into high-performance, structured prompts optimized for Grok’s reasoning and wit.
Master Claude Code's settings hierarchy and hook framework to automate workflows and silence repetitive prompts.
Transform vague AI ideas into professional, high-value skill products with strategic positioning and market-ready logic.
by Leo Li
Automate real Chrome profiles with a professional CLI, SDK, and MCP-ready automation stack for AI agents.
by Rian O'Leary
Audit and auto-fix agent skills to remove platform lock-in and ensure cross-platform compatibility.