10,232 skills found ¡ Page 247 of 342
TencentCloudBase / cloud-api-operationsOperate Tencent Cloud control-plane resources (monitoring/alarms, CLB, CAM roles, COS, MySQL, SCF) via cloud APIs when no dedicated MCP tool covers the task
TencentCloudBase / cloudbase-cliCloudBase CLI (tcb, äēåŧåCLI, Tencent CloudBaseåŊäģ¤čĄ) resource management skill
higgsfield-ai / higgsfield-generateGenerate images/videos/3D assets/audio via Higgsfield AI. Defaults: GPT Image 2.5 for image/design/text, Seedance 2.5 for video, Nano Banana 2 for cartoon characters, Marketing Studio for ads, Seed Audio 1.0 for audio.
higgsfield-ai / higgsfield-brandkitCreate and extend complete visual brand systems through the Higgsfield CLI and bundled deterministic local tooling: palettes, SVG logo marks, typography, mockups, social graphics, packaging, signage, merchandise, posters, presentation decks, and editable PPTX/PDF brandbooks.
higgsfield-ai / higgsfield-product-photoshootGenerate brand-quality product images through Higgsfield product-photoshoot prompt enhancement on GPT Image 2 / gpt_image_2. Entry point for professional brand/product visuals.
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.
higgsfield-ai / higgsfield-websitesBuild, edit, and deploy full-stack websites, apps and games via the Higgsfield CLI (`higgsfield website âĻ`). Each is a React 19 + TanStack Start SSR app in one Cloudflare Worker (D1/R2/KV/DO/Containers).
adithya-s-k / manimce-best-practicesTrigger when: (1) User mentions "manim" or "Manim Community" or "ManimCE", (2) Code contains `from manim import *`, (3) User runs `manim` CLI commands, (4) Working with Scene, MathTex, Create(), or ManimCE-specific classes.
higgsfield-ai / higgsfield-marketplace-cardsGenerate marketplace product image cards through Higgsfield: compliant main image, secondary product images, and A+ style content modules
BagelHole / incident-managementImplement incident management processes and escalation procedures. Configure on-call schedules and post-incident reviews
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 / 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 / ebpf-observabilityUse eBPF for deep kernel-level observability â trace syscalls, network flows, and application behavior without code changes using Cilium, Tetragon, and bpftrace.
BagelHole / platform-engineeringBuild internal developer platforms (IDPs) with self-service infrastructure, golden paths, and developer portals using Backstage, Crossplane, and score.
BagelHole / mdm-device-managementManage and secure company devices with MDM solutions â enroll macOS, Windows, iOS, and Android devices, enforce security policies, and automate software deployment
BagelHole / saas-security-postureAudit and harden your SaaS tool stack â enforce SSO, review OAuth grants, manage shadow IT, and secure admin accounts across Slack, GitHub, Google Workspace, and AWS
BagelHole / gpu-kubernetes-operationsOperate GPU-backed Kubernetes clusters for AI inference and training with scheduling, autoscaling, node health, MIG partitioning, and cost controls.
BagelHole / multi-tenant-llm-hostingDesign secure, multi-tenant LLM hosting platforms with tenant isolation, quotas, billing attribution, noisy-neighbor protection, and per-tenant policy controls.
BagelHole / ai-red-teamingRun structured AI red team exercises for jailbreak resistance, data exfiltration risk, harmful output controls, and agent tool abuse resilience.
BagelHole / mcp-server-securitySecure Model Context Protocol (MCP) servers with transport encryption, tool authorization, input validation, and audit logging for safe AI agent integrations.
BagelHole / model-supply-chain-securitySecure the AI model supply chain with artifact signing, provenance attestation, SBOM workflows, dependency controls, and trusted model promotion.
BagelHole / prompt-injection-defenseDefend AI systems against prompt injection and indirect prompt attacks using input controls, tool permissions, output validation, and isolation boundaries.
BagelHole / windows-hardeningHarden Windows servers per security baselines and CIS benchmarks. Configure Group Policy, Windows Defender, and security features
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 / ai-sre-incident-responseBuild AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.
