writing-skills
writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment
AI ワークフローに合うスキルを見つけよう。
writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment
canary
Post-deploy canary monitoring. (gstack)
land-and-deploy
Land and deploy workflow. (gstack)
setup-deploy
Configure deployment settings for /land-and-deploy.
cloudflare-api-key-automation
Automate Cloudflare API tasks via Rube MCP (Composio). Always search tools first for current schemas.
cloudflare-automation
Automate Cloudflare tasks via Rube MCP (Composio). Always search tools first for current schemas.
cloudflare-browser-rendering-automation
Automate Cloudflare Browser Rendering tasks via Rube MCP (Composio). Always search tools first for current schemas.
docker_hub-automation
Automate Docker Hub tasks via Rube MCP (Composio): repositories, images, tags, and container registry management. Always search tools first for current schemas.
latchbio-integration
Builds, registers, debugs, and operates bioinformatics workflows on Latch using the Python SDK, CLI, Latch Data and Registry, Nextflow, Snakemake, programmatic execution, and Latch MCP. Use when authoring or deploying Latch workflows, configuring resources or interfaces, moving data, integrating Registry, or launching and monitoring runs.
modal
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.
nextflow
Builds, runs, and debugs Nextflow DSL2 pipelines and nf-core workflows. Use for Nextflow, nf-core, .nf files, nextflow.config, processes/channels/operators, samplesheets, nf-test, modules/subworkflows, container and executor configuration, HPC/SLURM or cloud deployment, and failed or resumed pipeline runs.
acceptance-orchestrator
Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.
aegisops-ai
Autonomous DevSecOps & FinOps Guardrails. Orchestrates Gemini 3 Flash to audit Linux Kernel patches, Terraform cost drifts, and K8s compliance.
agent-evals
Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates. Use when shipping agent features, validating prompt changes, or gating deployments on quality.
ai-security-hardening
Harden AI/LLM deployments against prompt injection, data exfiltration, model theft, and supply chain attacks.
airflow-dag-patterns
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
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.
android-cli
Orchestrates Android development tasks including project creation, deployment, SDK management, and environment diagnostics using the `android` command-line tool.
An independently imported catalog with original authors, licenses and source links. Classification is not a security audit.
Sources and import coverage