skills/computer-science/cs-os/SKILL.md
OS: processes/threads/fibers, CFS scheduling, virtual memory, file systems, IPC, syscalls, POSIX
npx skillsauth add alphaonedev/openclaw-graph cs-osInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This skill equips the AI to generate code, explain concepts, and handle tasks related to operating system fundamentals, focusing on processes, threads, fibers, Completely Fair Scheduler (CFS), virtual memory, file systems, inter-process communication (IPC), syscalls, and POSIX standards. Use it to produce accurate, executable code snippets or detailed explanations for OS-related queries.
Apply this skill for user queries involving process management (e.g., forking processes), thread synchronization, memory allocation via virtual memory APIs, file system operations like mounting or reading directories, IPC mechanisms such as pipes or sockets, or POSIX-compliant syscalls. Use it in coding scenarios like building a multi-threaded server or debugging memory leaks.
Invoke this skill by prefixing queries with the skill ID, e.g., "cs-os: Write code to fork a process". Always specify context, like "cs-os: Explain CFS with a C simulation". For code generation, request outputs in C or C++ with POSIX headers. Pattern: Query -> AI generates 2-4 line snippets -> AI explains usage. For multi-step tasks, chain with other skills, e.g., first use cs-os for process code, then integrate with a networking skill. Test generated code in a POSIX environment like Linux.
pid_t pid = fork(); if (pid == 0) execl("/bin/echo", "echo", "Child", NULL);pthread_t thread; pthread_create(&thread, NULL, my_function, NULL); pthread_join(thread, NULL);struct sched_param param; sched_setscheduler(0, SCHED_FIFO, ¶m);void *mem = mmap(NULL, 4096, PROT_READ|PROT_WRITE, MAP_ANON|MAP_PRIVATE, -1, 0); if (mem == MAP_FAILED) exit(1);int fd = open("file.txt", O_RDWR|O_CREAT, 0644); write(fd, buffer, size); close(fd);int pipefd[2]; pipe(pipefd); write(pipefd[1], "Message", 7); read(pipefd[0], buffer, 7);pid_t mypid = getpid(); printf("PID: %d\n", mypid);pthread_mutex_t mutex; pthread_mutex_lock(&mutex); /* Critical section */ pthread_mutex_unlock(&mutex);
If authentication is needed for external OS tools (e.g., cloud-based VMs), set env vars like $OS_API_KEY for API calls, but POSIX syscalls typically don't require it.Integrate this skill into your AI workflow by calling it via the skill ID in response handlers, e.g., in a Python script: response = ai_invoke('cs-os', query='Generate fork code'). Ensure the environment is POSIX-compliant (e.g., Ubuntu) and include necessary headers like <unistd.h> or <pthread.h> in generated code. For config formats, use JSON for simulation parameters, e.g., {"process_count": 5, "memory_size": 1024}. If combining with other skills, pass outputs as inputs, like using cs-os generated code in a cs-networking skill for IPC over sockets. Always compile and test snippets with gcc -o output.c -lpthread.
For syscalls, always check return values and use errno; example: if (fork() == -1) { perror("Fork error"); exit(errno); }. For threads, handle pthread errors with pthread_create's return code: if (pthread_create(&thread, NULL, func, NULL) != 0) { fprintf(stderr, "Thread creation failed\n"); }. In file operations, verify fd: if (open("file.txt", O_RDONLY) == -1) { errno_check(); }. Use strerror(errno) for messages. For IPC, check queue IDs: if (msgget(key, 0666) == -1) { handle_error("msgget"); }. In code generation, instruct the AI to include try-catch in higher-level wrappers or exit gracefully in C.
pid_t pid = fork(); if (pid == 0) { int fd = open("log.txt", O_WRONLY|O_CREAT, 0644); write(fd, "Log entry", 9); close(fd); } else { waitpid(pid, NULL, 0); } Then, advise testing with ./program on Linux.tools
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