Skills.
Give your AI a better way to work.
A skill is a set of written instructions that teaches an AI how to do one job the way it should be done: review a pull request, plan a migration, write the release notes.
Install one here and it travels with your account into Claude, Claude Code, Cursor and every other client you sign in with.
Category: AI & models
9,018 results · page 214 of 301
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unnamed-skillSkillAI & models
🧠 The right skill, one API call. AI agent skills registry with token-efficient skill resolution. 5,000+ skills from 500+ top repos.
Ready to connect★ 63
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whats-nextSkillAI & models
Diagnose project state and recommend the next concrete step. Spans architecture, implementation, QA, docs, and use-case work.
Ready to connect★ 64
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workflow-tournamentSkillAI & models
Execute an implementation by dispatching multiple sub-agents to parallel Git worktrees. Each builds the entire feature independently, and the best implementation is selected and merged.
Ready to connect★ 64
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workflows-reviewSkillAI & models
Verify implementation claims by dispatching review agents. Stage 5 of the development workflow.
Ready to connect★ 64
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zephyr-foundationsSkillAI & models
Foundational skills for Zephyr RTOS development. Covers essential Embedded C patterns (BIT, CONTAINER_OF), real-time concurrency primitives (mutexes, semaphores, spinlocks), hardware literacy (datasheet-to-DTS mapping), and defensive programming. Trigger when writing core application logic, drivers,
Ready to connect★ 64
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zephyr-moduleSkillAI & models
Creating and integrating out-of-tree Zephyr modules. Covers module.yml configuration, Kconfig and CMake integration within a module, and West manifest inclusion. Trigger when developing reusable libraries, driver packages, or external software components for Zephyr.
Ready to connect★ 64
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a2a-topicsSkillAI & models
Read and write the agent blackboard - the durable, named topics on the A2A bus where agents publish what they currently know (upgrade readiness, the environment blueprint, dated annotations). Use when asked about fleet or environment state that another agent may already have assessed, before startin
Ready to connect★ 63
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add-fred-capabilitySkillAI & models
Author a new Fred agent capability (manifest + tools/middleware) built on fred-sdk, execution-model-agnostic (ReAct and Graph agents). Picks the right authoring lane, maps each runtime need to tools() or a middleware hook, wires entry-point registration, and enforces the capability boundary (never h
Ready to connect★ 63
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bossSkillAI & models
Use ONLY when the user explicitly asks to orchestrate parallel external agents (Codex or Claude Code) in tmux sessions via tp (tmux-pilot). Or when a user tells you that you're the boss or orchestrator. You can also use this if you are an operclaw agent. NEVER auto-invoke for a generic "do this in p
Ready to connect★ 63
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extend-schemaSkillAI & models
Use when changing the data model / schema in src/dismech/schema/*.yaml; when considering a schema change, including deciding whether a curation need warrants one at all; or when migrating KB content after a schema change. Not for filling in an existing slot (see the curation skills) or for ontology
Ready to connect★ 63
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fleet-auditSkillAI & models
Publish the findings of an autonomous fleet audit as one continuously-rewritten GitHub issue per audit stream, and propose fixes as narrow remediation pull requests.
Ready to connect★ 63
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fleet-upgrade-verificationSkillAI & models
Reports every GKE cluster's control-plane and node-pool versions against a target version or each cluster's release-channel default, naming the members that lag and by how many minors; run again during a rollout, it shows which members started, completed or stalled since the previous run; with --rea
Ready to connect★ 63
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fred-performance-campaign-runnerSkillAI & models
Run guarded, repeatable local performance campaigns against FRED's Swift managed-SSE question/answer path using the canonical mock OpenAI server. Use after instrumentation or hot-path changes, when consolidating a simple agent exchange, comparing a branch to a baseline, checking concurrency from 1 t
Ready to connect★ 63
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gce-compute-fleet-auditSkillAI & models
Audits standalone GCE virtual machines, Managed Instance Groups (MIGs), serial console boot failures, and guest OS daemon health.
Ready to connect★ 63
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gke-ai-troubleshooting-handle-disruption-gpu-tpuSkillAI & models
Diagnoses, predicts, and mitigates node disruptions during Compute Engine host maintenance and hardware or software maintenance events for GPU and TPU workloads on GKE. Use when diagnosing node disruptions, predicting host maintenance events on GPU/TPU nodepools, inspecting node interruption PromQL
Ready to connect★ 63
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gke-ai-troubleshooting-jobset-interruptionSkillAI & models
Diagnoses GKE JobSet interruptions, restarts, and preemptions for AI/ML training workloads autonomously. Use when troubleshooting JobSet restart loops, spot VM preemptions, node readiness failures, host VM issues, or coordinator worker crashes. Don't use for general GKE cluster creation, basic workl
Ready to connect★ 63
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gke-cluster-autoscalerSkillAI & models
Trigger on mention of GKE cluster autoscaler, node autoscaling, node pool auto-creation / node auto-provisioning. Provides guidance on enabling and optimizing cluster autoscaler, best practices, and troubleshooting issues such as nodes not scaling up or down, zonal stockouts, or capacity buffers. D
Ready to connect★ 63
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gke-cluster-creationSkillAI & models
Plans and executes GKE cluster creation, provisioning, and production readiness audits using pre-defined templates (Autopilot, Standard Regional, GPU/AI Inference, AI Hypercompute). Use when creating GKE clusters, provisioning GKE environments, selecting cluster modes, or auditing GKE clusters. Don'
Ready to connect★ 63
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gke-compute-classesSkillAI & models
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-l
Ready to connect★ 63
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gke-golden-pathSkillAI & models
Provides GKE golden path configuration defaults, production readiness checklists, and cluster default patterns. Use when designing GKE clusters, verifying GKE production readiness, or checking configurations against GKE defaults. Don't use for setting up workload autoscaling specifically (use gke-wo
Ready to connect★ 63
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gke-multitenancySkillAI & models
Plans and configures multi-tenancy on GKE. Covers namespace isolation, RBAC planning for teams, resource quotas, LimitRanges, network isolation, and cost allocation. Use when designing GKE multi-tenancy, configuring GKE namespaces, setting up resource quotas, or isolating GKE teams. Don't use for si
Ready to connect★ 63
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gke-networkingSkillAI & models
Plans, configures, and manages core GKE cluster networking. Covers private clusters, VPC-native configurations, DNS, node egress, Dataplane V2, and IP planning. Use when designing GKE networking layouts, configuring private clusters, setting up Dataplane V2, planning GKE IP ranges, or managing VPC-
Ready to connect★ 63
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gke-reliabilitySkillAI & models
Workflows for ensuring high availability and reliability of GKE workloads.
Ready to connect★ 63
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gke-stall-detectionSkillAI & models
Read-only detection of controllers that stopped making progress without erroring — observedGeneration lag, stuck progress conditions, repeating warning events, and references to objects that do not exist — in one namespace or one kind.
Ready to connect★ 63
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gke-workload-scalingSkillAI & models
Specific workflows for scaling GKE workloads using HPA and VPA, as well as best practices for autoscaling configuration.
Ready to connect★ 63
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gke-workload-troubleshootingSkillAI & models
Systematic Standard Operating Procedure (SOP) for diagnosing GKE workload failures, crash loops, resource OOMs, mounting errors, and connectivity timeouts.
Ready to connect★ 63
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idea-kingSkillAI & models
点子王 (Idea King) — reason from first principles & run adversarial review. A thinking partner for the Partner (搭子) workflow and for standalone use. Use when the user says "点子王", "idea king", "第一性原理", "从第一性原理出发", "奥卡姆剃刀", "墨菲定律", "科斯定理", "对抗式审查", "挑战这个方案", "attack this plan", "盘问", "grill this plan", o
Ready to connect★ 63
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manage-clusterSkillAI & models
Bring an existing GKE cluster under management on user request (e.g. "manage my cluster <name> in <location>") by creating its Cluster Agent profile. Use whenever a user asks to manage/onboard/watch a specific existing cluster.
Ready to connect★ 63
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partner-skillSkillAI & models
搭子.skill / Partner — two-direction cost-split workflow between Claude Code and Codex. Direction A (Codex-driven): Codex orchestrates and implements; Claude Code plans (/goal), polishes UI/interaction, and runs final /codex:review in one reused session. Direction B (Claude-driven): Claude plans and s
Ready to connect★ 63
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pr-conversationSkillAI & models
Answer a reviewer who addressed you on one of your own pull requests — read the thread, answer or amend the branch, and reply in the thread.
Ready to connect★ 63
What is a skill?
A skill is plain text, usually a SKILL.md file and the scripts it refers to, written for an AI rather than for a person. It carries the steps, the house rules and the examples a good answer needs, so you stop pasting the same briefing into every new chat.
54,826 of the 55,257 skills listed here can be served through ahel today, and they come from public repositories. Each one has its own page with the instructions themselves on it, so you can read what a skill will tell your AI to do before you install it.
Install one and every AI you use gets it
Installing a skill adds it to your gateway and turns it on in the same step. Claude Code surfaces it as a slash command; any client can read the full instructions with the skill_read tool.
Nothing is copied into a project folder. The instructions are served from your account, so the same skill is there in every AI you connect, and turning it off removes it from all of them at once.