create-agent
create-agent
【效率与协作】Create a custom agent (.agent.md) for a specific job.
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create-agent
【效率与协作】Create a custom agent (.agent.md) for a specific job.
qa
【开发与工程】Fix browser/API/CLI/job/worker/webhook bugs. (gstack)
qa-only
【开发与工程】Report browser/API/CLI/job/worker/webhook bugs. (gstack)
design-critique
【设计与创意】Give a structured product design critique — user job clarity, hierarchy, affordance, error states, accessibility, and consistency — focused on what to change, in what order, and why.
Ashby Automation
【效率与协作】Automate recruiting and hiring workflows in Ashby -- manage candidates, jobs, applications, interviews, and notes through natural language commands.
Lever Automation
【效率与协作】Automate recruiting workflows in Lever ATS -- manage opportunities, job postings, requisitions, pipeline stages, and candidate tags through the Composio Lever integration.
drip-jobs-automation
【开发与工程】Automate Drip Jobs tasks via Rube MCP (Composio). Always search tools first for current schemas.
jobnimbus-automation
【开发与工程】Automate Jobnimbus tasks via Rube MCP (Composio). Always search tools first for current schemas.
tailored-resume-generator
【开发与工程】Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
customer-research
【数据与研究】When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what d…
modal
【部署与运维】Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK.
ai-dev-jobs-mcp
【开发与工程】Search 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP
airflow-dag-patterns
【部署与运维】Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
airflow-dag-patterns
【部署与运维】Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
azure-ai-ml-py
【数据与研究】Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.
azure-compute-batch-java
【效率与协作】Azure Batch SDK for Java. Run large-scale parallel and HPC batch jobs with pools, jobs, tasks, and compute nodes.
beatra-ai-video-studio
【效率与协作】Install and use the official Beatra AI Video Studio package, pinned by digest, for paid text-to-video, image-to-video, and video edit or extend jobs on the hosted Beatra service.
build-ui
【开发与工程】Step-by-step workflow for UI work: read the project, follow the plan for the job (new screen, dashboard, polish, simplify, review), then render, fix and check again.