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SkillsMP は Zurybr/lefarma-skills から 186 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
Zurybr/lefarma-skills収集済み skill 186 件中 26 件を表示しています。
Guide for completing Coq proofs involving arithmetic properties like addition commutativity. This skill should be used when working on Coq proof files that require proving properties about natural number arithmetic using induction, particularly when lemmas…
原文の言語: 英語
Guidance for creating Python packages and serving them via a local PyPI server. This skill applies when tasks involve building Python packages (with pyproject.toml or setup.py), setting up local package repositories, or serving packages via HTTP for pip…
原文の言語: 英語
Guidance for implementing CLI tools that perform inference using PyTorch models in native languages (C/C++/Rust). This skill should be used when tasks involve extracting weights from PyTorch .pth files, implementing neural network forward passes in C/C++, or…
原文の言語: 英語
This skill should be used when reconstructing PyTorch models from weight files (state dictionaries), checkpoint files, or partial model artifacts. It applies when the agent needs to infer model architecture from saved weights, rebuild models without original…
原文の言語: 英語
This skill provides guidance for setting up Alpine Linux virtual machines in QEMU with SSH access via port forwarding. It should be used when tasks involve running Alpine Linux in QEMU, configuring SSH access to VMs, setting up port forwarding for VM network…
原文の言語: 英語
This skill provides guidance for starting QEMU virtual machines with proper serial console access, process management, and boot verification. It should be used when tasks involve launching QEMU VMs, configuring serial/telnet console access, or managing VM…
原文の言語: 英語
This skill provides guidance for SQL query optimization tasks, including rewriting slow queries for better performance while preserving semantic equivalence. Use this skill when asked to optimize, improve performance of, or rewrite SQL queries, particularly…
原文の言語: 英語
This skill provides guidance for fitting peaks in Raman spectroscopy data, particularly for materials like graphene. Use this skill when tasks involve Raman spectrum analysis, peak fitting (G peak, 2D peak, D peak), or spectroscopic curve fitting using…
原文の言語: 英語
Guidance for implementing chess move generation using only regular expressions. This skill applies to tasks requiring encoding game logic (chess, board games) into regex patterns, or more generally "compile-to-constraints" problems where complex business…
原文の言語: 英語
Guidance for extracting structured data from log files using regular expressions. This skill applies when parsing logs to extract dates, IP addresses, timestamps, or other structured patterns, especially when multiple conditions must be combined (e.g., "find…
原文の言語: 英語
Guide for implementing reversible data resharding systems with hierarchical constraints (max files/folders per directory, max file size). Use when building compress/decompress scripts that reorganize datasets while maintaining full reconstruction capability.
原文の言語: 英語
This skill provides guidance for translating RStan (R-based Stan interface) code to PyStan (Python-based Stan interface). It should be used when converting Stan models from R to Python, migrating Bayesian inference workflows between languages, or adapting R…
原文の言語: 英語
This skill provides guidance for tasks involving MobileSAM or Segment Anything Model (SAM) for cell segmentation, mask refinement, and polygon extraction from images. Use when working with SAM-based image segmentation pipelines, converting masks to polygons,…
原文の言語: 英語
Guidance for sanitizing git repositories by identifying and removing sensitive credentials, API keys, tokens, and other secrets. This skill should be used when tasks involve cleaning repositories of secrets, preparing code for public release, auditing for…
原文の言語: 英語
Guide for implementing metacircular evaluators—interpreters that can interpret themselves. This skill should be used when building self-interpreting Scheme-like evaluators, debugging multi-level interpretation issues, or implementing language features like…
原文の言語: 英語
Guidance for writing and verifying SPARQL queries against RDF datasets, particularly university/academic ontologies. This skill should be used when tasks involve querying RDF data with SPARQL, working with academic datasets (students, professors, departments,…
原文の言語: 英語
This skill should be used when recovering data from corrupted or truncated SQLite databases. Apply this skill when a .db file cannot be opened with standard SQLite tools, when binary truncation has occurred, or when manual parsing of the SQLite binary format…
原文の言語: 英語
This skill provides guidance for compiling software (particularly SQLite) with gcov code coverage instrumentation, installing to custom prefixes, and making binaries available system-wide. Use when tasks involve compiling C/C++ projects with coverage flags,…
原文の言語: 英語
This skill provides guidance for implementing PyTorch pipeline parallelism for distributed training of large language models. It should be used when implementing pipeline parallel training loops, partitioning transformer models across GPUs, or working with…
原文の言語: 英語
This skill provides guidance for implementing tensor parallelism in PyTorch, specifically column-parallel and row-parallel linear layers. Use when implementing distributed neural network layers that split weights/activations across multiple ranks, working…
原文の言語: 英語
This skill provides guidance for training FastText text classification models with constraints on accuracy and model size. It should be used when training fastText supervised models, optimizing model size while maintaining accuracy thresholds, or when…
原文の言語: 英語
This skill provides guidance for optimizing MuJoCo MJCF simulation files to improve performance while maintaining physics accuracy. Use this skill when tuning simulation parameters, reducing computation time, or balancing speed vs. accuracy trade-offs in…
原文の言語: 英語
This skill provides guidance for extracting secrets from vulnerable executables. It should be used when tasks involve binary analysis, reverse engineering executables to find hidden flags/secrets, or exploiting buffer overflows and other vulnerabilities to…
原文の言語: 英語
This skill provides guidance for creating CoreWars warriors that achieve target win rates against multiple opponents. Use this skill when tasked with writing Redcode warriors, optimizing CoreWars strategies, or achieving specific win rate thresholds against a…
原文の言語: 英語
This skill provides guidance for implementing custom compression encoders that must be compatible with existing decoders (especially arithmetic coding). It should be used when the task requires writing a compressor/encoder that produces output compatible with…
原文の言語: 英語
Integration patterns and best practices for adding persistent memory to LLM agents using the Letta Learning SDK
原文の言語: 英語