temporal reasoning sleuth
Give AI agents the ability to trace decision chains, reconstruct causal sequences, and reason over complex event timelines spanning months or years.
Skill of the Month: Award Winning Design by Aman Garg · View skill →
THE AGENSI STORE
67 skills found
Give AI agents the ability to trace decision chains, reconstruct causal sequences, and reason over complex event timelines spanning months or years.
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.
Automatically detect, load, and stack the perfect skills combo for any user request.
Turn your AI agent into a senior engineer with strict task classification and verification-driven coding protocols.
The "Skill for building Skills": Automate creating, testing, and optimisation of custom workflows.
Deploy a hierarchical team of AI agents to perform 15-30 minute deep-dive research with parallel execution.
A risk-aware, evidence-based engineering lifecycle protocol for robust agentic task execution and safety.
Autonomous research and task loop that builds on previous findings to solve complex objectives while you sleep.
High-speed intake for shaping vague prompts, triaging complex tasks, and compressing context for efficient execution.
Transform Claude Code into a coordinated multi-agent system. Battle-tested tmux orchestration patterns, YAML task queues, event-driven communication, and parallel worker management for 8+ agents.
Transforms vague coding requests into precise, scoped, testable, AI-ready prompts for Cursor, Claude Code, Codex CLI, Replit, and other coding agents.
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.
Optimize LLM costs through context hygiene, prompt caching, model routing, and automated budget guards.
Eliminate hallucinations with an evidence-first verification framework for system state, configs, and file contents.
Generate high-fidelity, structured handoff packets for seamless multi-agent collaboration and session persistence.
Transform repetitive, messy prompts into structured, reusable SKILL.md files for your AI agents.
Reduce Manus v5 credit consumption by 30-75% through intelligent task routing and autonomous strategy selection.
Python CLI and reusable client for one-shot chat and SSE streaming via the Felo Open Platform.
Eliminate hallucinations and errors using double-blind, multi-agent adversarial verification loops.
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.
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