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Found 1,660 Skills
Write ML experiment code with iterative improvement. Generate training/evaluation pipelines, debug errors, and optimize results through code reflection. Use when implementing experiments for a research paper.
Deploy Instantly integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying Instantly-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy instantly", "instantly Vercel", "instantly production deploy", "instantly Cloud Run", "instantly Fly.io".
Generate complete academic survey papers using multi-LLM parallel outline generation, RAG-based subsection writing, citation validation, and local coherence enhancement. Based on AutoSurvey pipeline. Use for writing comprehensive literature surveys.
Use when interacting with GitLab from the command line — creating and managing merge requests, issues, CI/CD pipelines, releases, repositories, and any other GitLab operation. Covers all glab CLI commands including mr, issue, ci, release, repo, api, variable, snippet, schedule, stack, label, milestone, incident, and auth.
Enforce secure secrets management across all platforms. Never hardcode OAuth2 secrets, API keys, tokens, passwords, or credentials in source code. Store all secrets in .env files, load from environment variables, and ensure .env is gitignored. Use this skill when: (1) writing any code that uses API keys, OAuth2 client secrets, tokens, or credentials, (2) setting up authentication or third-party integrations, (3) creating new projects that need environment configuration, (4) reviewing code for security issues related to secrets, (5) configuring CI/CD pipelines or Docker deployments with secrets. Triggers: API key, OAuth, client secret, token, credentials, .env, environment variables, secret, password, authentication setup, third-party integration.
Run Playwright tests at scale using Azure Playwright Workspaces (formerly Microsoft Playwright Testing). Use when scaling browser tests across cloud-hosted browsers, integrating with CI/CD pipeline...
Automated PRD generation pipeline from BRD documents - analyzes dependencies, validates readiness, generates PRDs, performs final review, and supports parallel execution
Build, test, and deploy applications using GitHub Actions workflows. Create CI/CD pipelines, configure runners, manage secrets, and automate software delivery. Use when working with GitHub repositories, automating builds, running tests, or deploying applications.
CI/CD pipelines, deployment strategy, and infrastructure. Use when setting up GitHub Actions workflows, choosing deployment platforms, configuring production environments, securing pipelines with OIDC, optimizing build performance, building container images, measuring DORA metrics, or setting up Docker multi-stage builds.
This skill should be used when building data processing pipelines with CocoIndex v1, a Python library for incremental data transformation. Use when the task involves processing files/data into databases, creating vector embeddings, building knowledge graphs, ETL workflows, or any data pipeline requiring automatic change detection and incremental updates. CocoIndex v1 is Python-native (supports any Python types), has no DSL, and is currently under pre-release (version 1.0.0a1 or later).
Master Node.js streams for memory-efficient processing of large datasets, real-time data handling, and building data pipelines
Automated BRD generation pipeline from reference documents (docs/00_REF/ or REF/) or user prompts - analyzes sources, determines BRD type, generates content, validates readiness, creates BRD-00_index.md, and supports parallel execution