Results for “computation-time”

Analyzes cryptographic code to detect operations that leak secret data through execution timing variations, supporting multiple languages.

通用时间抽象接口。当定义时间维度、时序关系、时间演化时调用此技能。

Benchmarks inference latency and computational runtime of transformer models and MLX operations across Apple Silicon and NVIDIA GPU backends, with configurable input lengths and batch sizes.

Time-Series Data

GPU-accelerated correlation matrix computation with persistent SQLite caching to eliminate bottleneck at correlation calculation during symbol selection

Analyzes algorithm time and space complexity, classifies problems by complexity classes, proves NP-completeness, and designs approximation algorithms.

Detect timing side channels in cryptographic code using formal, symbolic, dynamic, and statistical testing tools.

Anchors work at the current moment and places events as spatial distances ahead or behind to improve temporal reasoning.

融合分类系统与时间抽象能力，构建随时间演化的分类体系，支持动态分类和时间相关的分类需求。

Runs a Pomodoro timer with session tracking, history, and productivity analytics stored in a local SQLite database.

Reads and preprocesses 5-minute stock candlestick CSV data, then clusters the time series using tslearn's TimeSeriesKMeans, including data cleaning, percentage change calculation, model training, saving, and representative sample extraction.

Write efficient C code with proper memory management, pointer arithmetic, and systems programming best practices.

Use for writing, reviewing, debugging, testing, or analyzing Python SimPy discrete-event simulations. Trigger on Environment, Event, Process, timeout, Resource, PriorityResource, PreemptiveResource, Container, Store, queues, interrupts, simulation clocks, replications, or SimPy monitoring. Do not use for asyncio services, wall-clock schedulers, continuous ODE solvers, or Monte Carlo code without an event-process model.

Almost every downstream bug traces back to an index that was assumed regular and

`task-agent`/`review-agent`: use when CPU, memory, I/O, database, network, rendering, or cost needs measured bottleneck evidence; skip without a profiling need.

Time (adag-time)

Project estimation and time management for agent-orchestrated builds.

Temporal interval algebra for reasoning about time relationships in planning and knowledge representation

Design a spaced retrieval schedule for any topic list and timeline. Use when planning units, term sequences, or revision programmes.

Time (afag-time)

融合未来蓝图与时间抽象能力，从时间维度构建未来愿景，理解时间演化规律，创造符合时间发展趋势的未来规划。

CLI-team runtime for claude, codex, gemini, antigravity, grok, or cursor workers in tmux panes when you need process-based parallel execution

`analysis-agent`/`task-agent`/`review-agent`: use when latency, throughput, bundle, memory, CPU, query, rendering, or resource cost needs a budget; skip without performance risk.

Analiza series temporales: tendencia, estacionalidad y pronóstico con Prophet, statsmodels y ML, incluyendo descomposición, tests de estacionariedad y evaluación contra baselines.

Compute over read. Run sandboxed scripts to process data instead of dumping it into context. Trigger: 'compute', 'process this data', 'analyze logs', or PreToolUse nudge.

Write efficient C code with proper memory management, pointer arithmetic, and system calls. Handles embedded systems, kernel modules, and performance-critical code. Use PROACTIVELY for C optimization, memory issues, or system programming.

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Analyzes Claude Code session logs to report token usage, tool and skill rankings, and session search by prompt text.

Write efficient C code with proper memory management, pointer

Write efficient C code with proper memory management, pointer

YC Office Hours — two modes. (gstack)

Write efficient C code with proper memory management, pointer

Resolves legacy references to the cyber-intel capability by routing to the current runtime agent or skill.

Write efficient C code with proper memory management, pointer safety, and POSIX compliance, including debugging and testing guidance.

Evaluates computational throughput and real-time efficiency of embedded CPU and GPU platforms by measuring peak FLOPS via a matrix rotation kernel and assessing inference latency and power consumption on a robotic vision pipeline.