Results for “tool-execution”

Automates the preparation of Easy difficulty diagram specifications from a CSV report and chapter files, generating reports, execution plans, and spec files for MicroSim generation.

Use when you have a written implementation plan to execute in a separate session with review checkpoints

Run a sandboxed shell command with timeout and allowlist

Automates multi-language software builds with Makefiles, dependency management, testing, packaging, and CI/CD integration.

Expert technology assessment specialist focused on evaluating, testing, and recommending tools, software, and platforms for business use and productivity optimization

Executes a written implementation plan in a separate session, reviewing it critically, running tasks with verification, and stopping to ask for help when blocked.

Loads a written implementation plan, reviews it critically, executes all tasks with verification, and reports completion, stopping to ask for help when blocked.

Executing Plans

Use when you have a written implementation plan to execute in a separate session with review checkpoints

Imported skill shell from langchain

Build command-line tools with argument parsing, interactive prompts, progress indicators, and shell completions using frameworks like commander, click, typer, or cobra.

List deployed Modal functions in the current workspace

Read, write, edit, list, copy, move, and search files directly using builtin tools, with fallback to Python or bash for complex operations.

Creates or modifies agent tools for OpenAI Agents SDK, covering search, analysis, API integration, and database query patterns with caching and metrics.

Invoke a deployed Modal function with JSON arguments

Loads an implementation plan, reviews it critically, executes each task with verification, and reports completion, stopping to ask for help when blocked.

Use when you have a written implementation plan to execute in a separate session with review checkpoints

Load a written implementation plan, execute each task with verification checkpoints, and complete development using a structured workflow.

基于证据优先的仓库执行工作流，适用于ECC。当用户需要运行命令、检查仓库、调试CI失败或推送带有精确执行和验证证明的窄修复时使用。

Records common pitfalls and assumptions for Python module execution and GitHub Actions sparse checkout setups.

IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.

Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.

Simulates open quantum systems with QuTiP, the Quantum Toolbox in Python, solving Lindblad master equations (mesolve), Monte Carlo trajectories (mcsolve), and unitary dynamics (sesolve). Use when studying master-equation or Lindblad dynamics, decoherence, dissipation, quantum optics, cavity QED, or open-system time evolution. NOT for circuit-based quantum computing or hardware execution — for IBM Quantum circuits prefer alterlab-qiskit, for Google Quantum AI or NISQ circuits prefer alterlab-cirq, and for gradient-trained quantum ML prefer alterlab-pennylane. Part of the AlterLab Academic Skills suite.