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
53 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.
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.
Deploy a hierarchical team of AI agents to perform 15-30 minute deep-dive research with parallel execution.
Transforms vague coding requests into precise, scoped, testable, AI-ready prompts for Cursor, Claude Code, Codex CLI, Replit, and other coding agents.
Verify academic citations and claims with a rigorous bullshit detection framework for AI agents.
Turn a prompt you keep retyping into a complete SKILL.md with triggers, boundaries, and an output contract.
Transform raw ideas into high-performance, structured prompts optimized for Grok’s reasoning and wit.
Audit an LLM eval or AI test suite: catches gameable judge rubrics, data leakage, missing edge cases and flaky non-deterministic tests, with a PASS / REVISE / FAIL verdict.
Eliminate context drift and enhance depth with a multi-layered active reasoning framework for agents.
Consult a board of 8 legendary business builders to frame, debate, and solve your toughest strategic decisions.
Godot Game Dev Studio is a portable multi-agent skill library for Godot 4.7+ game development
A bot that tunes up your other Grok bots, plus the skill index that keeps their prompts short.
Turn your AI agent into a senior engineer with strict task classification and verification-driven coding protocols.
High-speed intake for shaping vague prompts, triaging complex tasks, and compressing context for efficient 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.
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.
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