腳本程式
2043 skills in 開發 > 腳本程式
make-doom-for-mips
Guide for cross-compiling complex C programs (like DOOM) for embedded MIPS environments with custom VM runtimes. This skill applies when building software that targets MIPS architecture with limited stdlib support, custom syscall interfaces, or JavaScript-based VM execution environments. Use when cross-compiling games, applications, or any C code for constrained MIPS targets.
separate-monolithic-python
Break large Python files (>500 LOC) into smaller, well-organized modules with proper package structure. Use when a Python file is too large, monolithic, or needs refactoring. Triggered by requests mentioning "too large", "separate", "split", "break up", or "refactor" for Python files.
python-debugger
Debug Python errors, exceptions, and unexpected behavior. Analyzes tracebacks, reproduces issues, identifies root causes, and provides fixes.
mailman
Guidance for setting up and configuring mailing list servers with Postfix and Mailman3. This skill should be used when tasks involve configuring email servers, mailing list management, LMTP integration, or mail delivery pipelines. Applies to tasks requiring Postfix-Mailman integration, subscription workflows, or email broadcast functionality.
pytorch-model-cli
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 creating standalone inference tools without Python dependencies.
headless-runner
Run Claude Code in headless/programmatic mode for automation, CI/CD, and agent workflows. Use when user asks about headless mode, programmatic execution, scripting Claude, or automating Claude workflows.
cobol-modernization
This skill provides guidance for translating COBOL programs to modern languages (Python, Java, etc.) while preserving exact behavior. It should be used when tasks involve COBOL-to-modern-language migration, legacy code translation, fixed-width file format handling, or ensuring byte-level compatibility between source and target implementations.
coding-javascript
When javascript being written or edited.
pr-review
This skill provides a complete workflow for handling GitHub Pull Request reviews,specifically optimized for @gemini-code-assist automated reviews. This skill shouldbe used when addressing PR review comments, responding to reviewers, resolvingthreads, requesting re-reviews, or merging PRs after feedback is addressed.Triggers include: /pr-review command, "address PR feedback", "handle review comments","respond to gemini", or any PR review lifecycle management request.
perf-reviewer
Review code for performance issues and run benchmarks. Use when user asks to analyze performance, compare AILANG vs Python vs Go, run benchmarks, or review code for optimization opportunities.
command-patterns
Advanced patterns for generating high-quality Claude Code commands. Used by /new-command.
cancel-async-tasks
Guidance for implementing asyncio task cancellation with proper cleanup, especially for handling keyboard interrupts (Ctrl+C). This skill should be used when tasks involve asyncio cancellation, signal handling, or graceful shutdown of concurrent Python tasks.
changelog-writer
Create user-focused, SEO-optimized changelog entries for software releases. Use when writing release notes, version updates, product changelogs, or "what's new" documentation for developer tools.
pkm-vault-master
This skill should be used when organizing and structuring Personal Knowledge Management (PKM) vaults, particularly Obsidian vaults using the Linking Your Thinking (LYT) methodology. Use this skill when the user asks to analyze notes, create MOCs (Maps of Content), find related notes, organize folders, generate Index.md files, or improve vault structure. This skill provides Python scripts for vault analysis, link finding, and MOC generation, along with LYT methodology references and templates.
ln-366-dead-code-auditor
Dead code & legacy audit worker (L3). Checks unreachable code, unused imports/variables/functions, commented-out code, backward compatibility shims, deprecated patterns. Returns findings.
circuit-fibsqrt
Guide for implementing combinational/sequential logic circuits using gate-level descriptions in text-based simulators. This skill applies when building circuits for mathematical functions like integer square root, Fibonacci sequences, or similar computations that require both combinational logic (arithmetic operations) and sequential logic (feedback loops, state machines). Use this skill when the task involves generating gate netlists, implementing multi-bit arithmetic circuits, or debugging event-driven circuit simulators.
agent-sdk-guide
Guide for Claude Agent SDK - build custom AI agents powered by Claude. Triggers on agent sdk, claude-agent-sdk, @anthropic-ai/claude-agent, build agent, programmatic agent, embed claude, custom ai agent, agent infrastructure. Covers installation, authentication providers, tool permissions, file-based configuration, and TypeScript/Python code examples.
drafts-actions
Create and script actions for the Drafts app. Use this skill when the user needs help creating custom Drafts actions, understanding action steps, using template tags, scripting with JavaScript, or configuring action workflows for automation and productivity.
polyglot-c-py
This skill provides guidance for creating polyglot files that are valid in both C and Python. It should be used when tasks require writing code that compiles and runs correctly as both a C program and a Python script, producing identical or specified output from each interpreter/compiler.
modernize-scientific-stack
Guidance for modernizing legacy Python 2 scientific computing code to Python 3. This skill should be used when tasks involve converting outdated scientific Python scripts (using deprecated libraries like ConfigParser, cPickle, urllib2, or Python 2 syntax) to modern Python 3 equivalents with contemporary scientific stack (NumPy, pandas, scipy, matplotlib). Applies to data processing, analysis pipelines, and scientific computation modernization tasks.