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Found 1,438 Skills
Prepare code for a pull request by orchestrating sync, format, lint, test, review, and doc updates. Use when user says 'create a PR', 'prepare pull request', 'get ready for PR', 'validate my changes', 'prepare for review', 'pre-merge checks', or 'is this ready to merge'. Do NOT use for only running tests, only reviewing (use review-diff), only syncing with main (use merge-main), or actually opening the PR on GitHub — this skill stops at "ready."
Explains how to use skeeper to keep spec artifacts (SPEC.md, ADRs, RFCs, plan/PRD/TechSpec markdown, custom globs) next to the code they describe without polluting main-repo history. Covers strict hooks, the tracked skeeper.lock file, namespaces, sync/verify/fsck, safe drift workflows with diff/hydrate/reconcile/rescue/update, adopt/untrack/pattern, repair, SKEEPER_SKIP, and the GitHub Action. Use when setting up skeeper, configuring a sidecar, syncing/verifying a lockfile, recovering drift or failed syncs, auditing bypasses, or wiring CI. Do not use for general Git hook questions, repos with no .skeeper.yml and no intent to add one, or editing skeeper internals.
Package and build custom AI models with Cog for deployment on Replicate. Use when creating a cog.yaml or predict.py, defining model inputs and outputs, loading model weights at setup time, building Docker images for ML models, serving locally with cog serve or cog predict, or porting a HuggingFace, GitHub, or ComfyUI model to run on Replicate. Trigger on phrases like "build a model", "package a model", "create a Cog model", "wrap a model", "containerize an AI model", "predict.py", "cog.yaml", "BasePredictor", or "Cog container", and when referencing cog.run, github.com/replicate/cog, or github.com/replicate/cog-examples. Covers GPU and CUDA setup, pget for fast weight downloads, async predictors with continuous batching, streaming outputs, and cold-boot optimization for image, video, audio, and LLM models. For pushing built models to Replicate, see publish-models. For running existing models, see run-models.
Connect SaaS data (HubSpot, Stripe, Salesforce, GitHub, Slack, etc.) to Wren Engine for SQL analysis. Guides the user through the full flow: install dlt, pick a SaaS source, set up credentials, run the data pipeline into DuckDB, then auto-generate a Wren semantic project from the loaded data. Use this skill whenever the user mentions: connecting SaaS data, importing data from an API, dlt pipelines, loading HubSpot/Stripe/Salesforce/GitHub/Slack data, querying SaaS data with SQL, or setting up a new data source from a REST API. Also trigger when the user already has a dlt-produced DuckDB file and wants to create a Wren project from it.
Scaffolds a production-ready TypeScript CLI project with ESM, tsdown, vitest, oxlint, oxfmt, changesets, GitHub Actions, and an agent skill definition. Use when creating a new CLI tool, bootstrapping a TypeScript project, scaffolding a node CLI, starting a new npm package, or asking "scaffold a CLI project."
Build code-first notification workflows with @novu/framework. Use when defining workflows in TypeScript (Zod / JSON Schema / Class Validator), composing channel steps (email, SMS, push, chat, in-app) with action steps (delay, digest, custom), exposing Step Controls for non-technical teammates, rendering React/Vue/Svelte Email templates, hosting the Bridge Endpoint inside Next.js, Express, NestJS, Remix, Nuxt, SvelteKit, H3, or AWS Lambda, syncing to Novu Cloud via CLI / GitHub Actions, securing production with HMAC, or implementing translations, hydration, multi-channel orchestration, and LLM-powered notification logic in code.
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
This skill covers implementing Software Composition Analysis (SCA) using Snyk to detect vulnerable open-source dependencies in CI/CD pipelines. It addresses scanning package manifests and lockfiles, automated fix pull request generation, license compliance checking, continuous monitoring of deployed applications, and integration with GitHub, GitLab, and Jenkins pipelines.
CI/CD: GitHub Actions, GitLab CI, Jenkins, ArgoCD, GitOps, monitoring.
IMPERSONATE steipete (steipete - Peter Steinberger) and coach the user directly. Use steipete's voice, philosophy, and actual project patterns to evaluate ideas, give feedback, and guide decisions. Based on his 168 GitHub repos and blog posts. When user describes their idea/project/decision, respond AS steipete - challenge, question, approve, or reject.
Production-ready CI/CD configurations for Playwright — GitHub Actions, GitLab CI, CircleCI, Azure DevOps, Jenkins, Docker, parallel sharding, reporting, code coverage, and global setup/teardown.
Generate Python RSS feed scrapers from blog websites, integrated with hourly GitHub Actions