shell-scripting
Write robust, portable shell scripts with proper error handling, argument parsing, and testing. Use when automating system tasks, building CI/CD scripts, or creating container entrypoints.
Write robust, portable shell scripts with proper error handling, argument parsing, and testing. Use when automating system tasks, building CI/CD scripts, or creating container entrypoints.
Decompose complex tasks into parallel sub-agents. Use for multi-step operations, batch processing, or when user mentions "parallel", "agents", or "orchestrate".
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries. Use for: data processing, web scraping, image manipulation, video creation, 3D model processing, PDF generation, API calls, automation scripts. Triggers: python, execute code, run script, web scraping, data analysis, image processing, video editing, 3D models, automation, pandas, matplotlib
Generate headless Claude Code cron jobs with safety.
Evaluate-Loop Step 3: EXECUTE. Use this agent to implement tasks from a verified plan. Works through plan.md tasks sequentially, writes code, updates plan.md after every task, and commits at checkpoints. Uses TDD where applicable. Triggered by: 'execute plan', 'implement track', 'build feature', '/conductor implement' (execution phase). Only runs after plan has passed evaluation.
Inject live project context via shell preprocessing
Agent Script DSL for deterministic Agentforce agents. TRIGGER when: user writes or edits .agent files, builds FSM-based agents, uses Agent Script CLI (sf agent generate authoring-bundle, sf agent validate authoring-bundle, sf agent preview, sf agent publish authoring-bundle, sf agent activate), or asks about deterministic agent patterns, slot filling, or instruction resolution. DO NOT TRIGGER when: Builder metadata work (use sf-ai-agentforce), agent testing (use sf-ai-agentforce-testing), or persona design (use sf-ai-agentforce-persona).
Create and manage scheduled and price-triggered automations.
Data processing skill with Python and shell scripts for file analysis and transformation
Build multi-sequence email automation flows with branching logic. Triggers on: "build email automation", "create email funnel", "email automation flow", "welcome series with branches", "conditional email sequence", "set up automation", "email workflow builder", "segmented email flow", "advanced email sequence", "nurture funnel", "cart abandonment sequence", "win-back email flow".
Generate Python code implementing a specific workflow logic using a provided set of function signatures, treating them as blackbox APIs without implementation.
用于编写VBA宏,批量处理Excel中的超链接。支持将绝对路径转换为相对路径以解决共享问题,或根据文件夹名称批量创建指向本地文件夹的超链接,并自动校验文件存在性。
编写Python脚本,实现每天定时从MongoDB获取数据,进行Gzip压缩,并通过HTTP POST请求同步到指定URL,同时处理BytesIO二进制传输错误。
用于递归扫描磁盘文件结构,自动跳过无权限或无效路径的文件,并通过JSON序列化与Base64编码进行数据传输的Python脚本生成技能。
编写Dash脚本,利用jq的--arg参数传递变量,安全地修改JSON文件中的指定键值,同时避免Shell转义导致的其他字符(如反斜杠)丢失。