2,392 skills found ¡ Page 59 of 80
TencentCloudBase / cloudbase-code-reviewCode review and validation for CloudBase projects. After writing code for Web / miniprogram / CloudRun / cloud-function projects, call this skill to check for known pitfalls â auth guard misuse, missing database tables, RLS misconfiguration, storage domain setup, and SDK API misuse.
TencentCloudBase / spec-workflowUse when medium-to-large changes need explicit requirements, technical design, and task planning before implementation, especially for multi-module work, unclear acceptance criteria, or architecture-heavy requests.
TencentCloudBase / git-workflowsReusable git delivery workflows derived from local slash commands (commit, push, PR, release notes, GitHub Actions failure triage with worktree-based fixes, and isolating your own changes from a shared dirty workspace).
TencentCloudBase / manage-local-skillsAnalyze, standardize, validate, and sync locally maintained skills into agent skill directories with a `skills` CLI-aligned workflow.
TencentCloudBase / review-automation-orchestratorUse when running or scheduling periodic repository review cycles that must dispatch the correct reviewer, aggregate findings, and escalate outcomes into reports, issues, or corrective PRs across API contracts, documentation freshness, code quality, and CloudBase skill quality.
TencentCloudBase / auth-wechat-miniprogramCloudBase WeChat Mini Program native authentication guide. This skill should be used when users need mini program identity handling, OPENID/UNIONID access, or `wx.cloud` auth behavior in projects where login is native and automatic.
TencentCloudBase / cloudbase-cliCloudBase CLI (tcb, äēåŧåCLI, Tencent CloudBaseåŊäģ¤čĄ) resource management skill
higgsfield-ai / higgsfield-youtube-thumbnailCreate high-click-through YouTube thumbnails and vertical video covers through the Higgsfield CLI. Builds a truthful information-gap concept, preserves up to three referenced identities, supports logos and controlled variants, renders the main image with Nano Banana Pro, and applies focused SeedreamâĻ
adithya-s-k / manimgl-best-practicesTrigger when: (1) User mentions "manimgl" or "ManimGL" or "3b1b manim", (2) Code contains `from manimlib import *`, (3) User runs `manimgl` CLI commands, (4) Working with InteractiveScene, self.frame, self.embed(), ShowCreation(), or ManimGL-specific patterns.
BagelHole / llmops-platform-engineeringBuild production LLMOps platforms with CI/CD, model promotion workflows, evaluation gates, rollback, and governance across cloud and self-hosted inference.
BagelHole / model-registry-governanceEstablish model registry standards, governance controls, metadata schemas, approvals, and lifecycle policies for enterprise AI deployments.
BagelHole / rag-observability-evalsMonitor and evaluate RAG systems with retrieval quality metrics, groundedness checks, hallucination detection, and continuous regression testing.
BagelHole / alerting-oncallSet up alerting rules, configure on-call rotations, and manage incident response workflows. Integrate with PagerDuty, Opsgenie, or Grafana OnCall for alert routing and escalation
BagelHole / prompt-injection-defenseDefend AI systems against prompt injection and indirect prompt attacks using input controls, tool permissions, output validation, and isolation boundaries.
BagelHole / ssl-tls-managementManage SSL/TLS certificates with Let's Encrypt and internal PKI. Configure secure HTTPS, certificate renewal, and cipher suites
BagelHole / supply-chain-attack-responseDetect, respond to, and prevent software supply chain attacks on package registries, container images, and CI/CD pipelines with lockfile auditing, provenance verification, and emergency response playbooks.
BagelHole / aws-secrets-managerStore and rotate secrets in AWS Secrets Manager. Configure automatic rotation, access policies, and application integration
BagelHole / ai-pipeline-orchestrationOrchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster. Build reliable, observable, and retriable workflows for production AI systems.
BagelHole / azure-devopsSet up Azure Pipelines for CI/CD, configure build and release pipelines, manage Azure DevOps projects, and integrate with Azure services
BagelHole / circleciConfigure CircleCI workflows and orbs for continuous integration and deployment. Create config.yml pipelines, use orbs for reusable configurations, and optimize build performance
BagelHole / github-actionsBuild, test, and deploy applications using GitHub Actions workflows. Create CI/CD pipelines, configure runners, manage secrets, and automate software delivery
BagelHole / elk-stackDeploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis. Configure log pipelines, create visualizations, and implement log-based monitoring
BagelHole / argocd-gitopsImplement GitOps with ArgoCD for declarative Kubernetes deployments. Configure applications, manage sync policies, implement progressive delivery, and automate deployments from Git repositories
BagelHole / git-workflowImplement Git branching strategies, PR workflows, and release management patterns. Configure GitFlow, trunk-based development, or GitHub Flow for team collaboration
BagelHole / semantic-versioningAutomate versioning and changelog generation using semantic versioning principles. Configure release automation, version bumping, and changelog tools
BagelHole / rag-infrastructureBuild and operate Retrieval-Augmented Generation (RAG) infrastructure with vector stores, embedding pipelines, and hybrid search. Covers ingestion, chunking strategies, reranking, and production deployment patterns.
BagelHole / vercel-deploymentsDeploy frontend and full-stack apps on Vercel with previews, edge functions, environment promotion, and production guardrails
BagelHole / gitlab-ciConfigure GitLab CI/CD pipelines and runners for automated building, testing, and deployment. Create .gitlab-ci.yml configurations, manage runners, and implement DevOps workflows
matlab / matlab-engineer-tabular-featuresUse when engineering or selecting the best features for single-response classification or regression in MATLAB, whatever the data's modality â for non-tabular data it routes extraction to a domain skill, then selects, assesses, and delivers on the resulting table.
matlab / roadrunner-coreFoundation skill for all RoadRunner workflows: MATLAB path setup, connection, project/scene/scenario lifecycle, world settings, handle management, status, and close
