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.
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THE AGENSI STORE
58 skills found
Give AI agents the ability to trace decision chains, reconstruct causal sequences, and reason over complex event timelines spanning months or years.
A risk-aware, evidence-based engineering lifecycle protocol for robust agentic task execution and safety.
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.
Turn your AI agent into a senior engineer with strict task classification and verification-driven coding protocols.
Transforms vague coding requests into precise, scoped, testable, AI-ready prompts for Cursor, Claude Code, Codex CLI, Replit, and other coding agents.
Analyzes your agent conversation history to find and automate your most frequent recurring tasks.
The "Skill for building Skills": Automate creating, testing, and optimisation of custom workflows.
High-speed intake for shaping vague prompts, triaging complex tasks, and compressing context for efficient execution.
Verify academic citations and claims with a rigorous bullshit detection framework for AI agents.
An adversarial gate that audits an AI eval or test suite — LLM-judge rubrics, datasets, regression tests, metrics — for gameable criteria, data leakage, missing edge cases, and non-determinism, then returns one PASS/REVISE/FAIL verdict.
Deploy a hierarchical team of AI agents to perform 15-30 minute deep-dive research with parallel execution.
Eliminate hallucinations with an evidence-first verification framework for system state, configs, and file contents.
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.
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.
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.
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