Rtvi Vlm Perf Testing
NVIDIA-AI-Blueprints/video-search-and-summarization
Plan, run, and diagnose reproducible RT-VLM GPU performance canaries and benchmarks.
Implement Istio and Linkerd service meshes. An agent skill from sickn33/agentic-awesome-skills.
$ npx skills add sickn33/agentic-awesome-skills --skill service-mesh -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills service-mesh --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/service-mesh .claude/skills/service-mesh && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "service-mesh" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/service-mesh into .claude/skills/service-mesh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "service-mesh", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/service-meshType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill service-mesh -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills service-mesh --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/service-mesh .agents/skills/service-mesh && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "service-mesh" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/service-mesh into .agents/skills/service-mesh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "service-mesh", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill service-mesh -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills service-mesh --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/service-mesh .cursor/skills/service-mesh && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "service-mesh" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/service-mesh into .cursor/skills/service-mesh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "service-mesh", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/service-mesh--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill service-mesh -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills service-mesh --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/service-mesh .gemini/skills/service-mesh && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "service-mesh" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/service-mesh into .gemini/skills/service-mesh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "service-mesh", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills service-meshInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill service-mesh -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/service-mesh .github/skills/service-mesh && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "service-mesh" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/service-mesh into .github/skills/service-mesh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "service-mesh", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill service-mesh -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills service-mesh --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/service-mesh .opencode/skills/service-mesh && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "service-mesh" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/service-mesh into .opencode/skills/service-mesh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "service-mesh", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
service-meshImplement Istio and Linkerd service meshes. An agent skill from sickn33/agentic-awesome-skills.
Service Mesh is an agent skill from sickn33/agentic-awesome-skills. Implement Istio and Linkerd service meshes. Configure mTLS, traffic management, and observability. Use when managing microservices communication.
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.
It sits in Backend & APIs, covering Microservices. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
Read from SKILL.md and the folder at commit b84d35a. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
kubectlcurlshFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
istio.iorun.linkerd.ioFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.
From compatibility in the SKILL.md frontmatter.
Service Mesh loads about 2.7k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 292 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 292 words, ~2,666 tokens.
.claude/skills/service-mesh/SKILL.md (or your agent's skills folder).Implement service-to-service communication management with mTLS, traffic shaping, observability, and policy enforcement using Istio or Linkerd.
istioctl CLI installed.linkerd CLI installed.# Download istioctl
curl -L https://istio.io/downloadIstio -o /tmp/downloadIstio.sh && sh /tmp/downloadIstio.sh && rm /tmp/downloadIstio.sh
cd istio-*
export PATH=$PWD/bin:$PATH
# Install with the production profile
istioctl install --set profile=default -y
# Or use the demo profile (includes all addons, good for learning)
istioctl install --set profile=demo -y
# Verify installation
istioctl verify-install
# Check running components
kubectl get pods -n istio-system# Enable automatic sidecar injection for a namespace
kubectl label namespace default istio-injection=enabled
# Verify label
kubectl get namespace default --show-labels
# Restart existing pods to inject sidecars
kubectl rollout restart deployment -n default
# Check sidecar status
kubectl get pods -n default -o jsonpath='{range .items[*]}{.metadata.name}{" containers: "}{range .spec.containers[*]}{.name}{" "}{end}{"\n"}{end}'# Install Kiali, Prometheus, Grafana, Jaeger
kubectl apply -f samples/addons/prometheus.yaml
kubectl apply -f samples/addons/grafana.yaml
kubectl apply -f samples/addons/jaeger.yaml
kubectl apply -f samples/addons/kiali.yaml
# Wait for rollout
kubectl rollout status deployment/kiali -n istio-system
# Access dashboards
istioctl dashboard kiali
istioctl dashboard grafana
istioctl dashboard jaeger# virtualservice.yaml — canary deployment with traffic split
apiVersion: networking.istio.io/v1beta1
kind: VirtualService
metadata:
name: my-app
namespace: default
spec:
hosts:
- my-app
http:
# Header-based routing (canary testers)
- match:
- headers:
x-canary:
exact: "true"
route:
- destination:
host: my-app
subset: canary
# Percentage-based traffic split
- route:
- destination:
host: my-app
subset: stable
weight: 90
- destination:
host: my-app
subset: canary
weight: 10
timeout: 30s
retries:
attempts: 3
perTryTimeout: 10s
retryOn: gateway-error,connect-failure,refused-stream# destinationrule.yaml
apiVersion: networking.istio.io/v1beta1
kind: DestinationRule
metadata:
name: my-app
namespace: default
spec:
host: my-app
trafficPolicy:
connectionPool:
tcp:
maxConnections: 100
http:
h2UpgradePolicy: DEFAULT
http1MaxPendingRequests: 100
http2MaxRequests: 1000
maxRequestsPerConnection: 10
outlierDetection:
consecutive5xxErrors: 5
interval: 10s
baseEjectionTime: 30s
maxEjectionPercent: 50
subsets:
- name: stable
labels:
version: v1
- name: canary
labels:
version: v2# gateway.yaml — expose service to external traffic
apiVersion: networking.istio.io/v1beta1
kind: Gateway
metadata:
name: app-gateway
namespace: default
spec:
selector:
istio: ingressgateway
servers:
- port:
number: 443
name: https
protocol: HTTPS
tls:
mode: SIMPLE
credentialName: app-tls-cert # Kubernetes secret
hosts:
- app.example.com
- port:
number: 80
name: http
protocol: HTTP
hosts:
- app.example.com
tls:
httpsRedirect: true
---
apiVersion: networking.istio.io/v1beta1
kind: VirtualService
metadata:
name: app-external
namespace: default
spec:
hosts:
- app.example.com
gateways:
- app-gateway
http:
- route:
- destination:
host: my-app
port:
number: 8080# peer-authentication.yaml
apiVersion: security.istio.io/v1beta1
kind: PeerAuthentication
metadata:
name: default
namespace: istio-system # Applies to entire mesh
spec:
mtls:
mode: STRICT# Allow both plaintext and mTLS during migration
apiVersion: security.istio.io/v1beta1
kind: PeerAuthentication
metadata:
name: default
namespace: legacy-apps
spec:
mtls:
mode: PERMISSIVE# Check mTLS status for a namespace
istioctl x describe pod <pod-name> -n default
# View TLS configuration
istioctl proxy-config cluster <pod-name>.default --fqdn my-app.default.svc.cluster.local -o json | grep -A5 "tlsContext"
# Verify with istioctl authn
istioctl authn tls-check <pod-name>.default my-app.default.svc.cluster.local# authz-policy.yaml — only allow frontend to call API
apiVersion: security.istio.io/v1beta1
kind: AuthorizationPolicy
metadata:
name: api-access
namespace: default
spec:
selector:
matchLabels:
app: my-api
action: ALLOW
rules:
- from:
- source:
principals:
- "cluster.local/ns/default/sa/frontend"
to:
- operation:
methods: ["GET", "POST"]
paths: ["/api/*"]
---
# Deny all other traffic to api
apiVersion: security.istio.io/v1beta1
kind: AuthorizationPolicy
metadata:
name: deny-all
namespace: default
spec:
selector:
matchLabels:
app: my-api
action: DENY
rules:
- from:
- source:
notPrincipals:
- "cluster.local/ns/default/sa/frontend"# circuit-breaker.yaml
apiVersion: networking.istio.io/v1beta1
kind: DestinationRule
metadata:
name: my-api-circuit-breaker
spec:
host: my-api
trafficPolicy:
connectionPool:
tcp:
maxConnections: 50
http:
http1MaxPendingRequests: 50
http2MaxRequests: 100
maxRetries: 3
outlierDetection:
consecutive5xxErrors: 3
interval: 15s
baseEjectionTime: 60s
maxEjectionPercent: 100# Install Linkerd CLI
curl --proto '=https' --tlsv1.2 -sSfL https://run.linkerd.io/install -o /tmp/install-linkerd.sh && sh /tmp/install-linkerd.sh && rm /tmp/install-linkerd.sh
export PATH=$HOME/.linkerd2/bin:$PATH
# Validate cluster prerequisites
linkerd check --pre
# Install Linkerd CRDs
linkerd install --crds | kubectl apply -f -
# Install Linkerd control plane
linkerd install | kubectl apply -f -
# Verify installation
linkerd check
# Inject sidecar into a namespace
kubectl get deploy -n my-app -o yaml | linkerd inject - | kubectl apply -f -
# Or annotate namespace for auto-injection
kubectl annotate namespace my-app linkerd.io/inject=enabled
# View live traffic dashboard
linkerd viz install | kubectl apply -f -
linkerd viz dashboard# traffic-split.yaml
apiVersion: split.smi-spec.io/v1alpha4
kind: TrafficSplit
metadata:
name: my-app-split
namespace: default
spec:
service: my-app
backends:
- service: my-app-stable
weight: 900
- service: my-app-canary
weight: 100# Istio: check proxy configuration
istioctl proxy-config routes <pod-name>.default
istioctl proxy-config clusters <pod-name>.default
istioctl proxy-config listeners <pod-name>.default
# Istio: analyze configuration for issues
istioctl analyze -n default
# Istio: proxy debug logs
istioctl proxy-config log <pod-name>.default --level debug
# Linkerd: check proxy stats
linkerd viz stat deploy -n default
linkerd viz top deploy/my-app -n default
linkerd viz edges deploy -n default| Symptom | Cause | Fix |
|---|---|---|
| Sidecar not injected | Missing namespace label | Add istio-injection=enabled label; restart pods |
| 503 errors between services | mTLS mismatch (one side plaintext) | Set PeerAuthentication to PERMISSIVE during migration |
| High latency after mesh install | Sidecar resource limits too low | Increase sidecar CPU/memory limits in mesh config |
| VirtualService not routing | Missing DestinationRule subsets | Create matching DestinationRule with subset labels |
upstream connect error | Circuit breaker tripped | Check outlier detection settings; increase thresholds |
| Authorization policy blocks everything | Default deny without matching allow rule | Add explicit ALLOW rule before DENY-all |
| Kiali shows "Unknown" traffic | Missing sidecar on calling service | Inject sidecar into all communicating services |
load-balancing) - Layer 4/7 load balancing outside Kubernetesreverse-proxy) - Ingress-level proxyingai-inference-service-mesh) - Mesh patterns for ML workloadsdns-management) - DNS for mesh ingress gateways© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/service-mesh of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit b84d35a
We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Service Mesh next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Service Mesh this skillsickn33/agentic-awesome-skills | 47k | 2 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Rtvi Vlm Perf TestingNVIDIA-AI-Blueprints/video-search-and-summarization | 1.9k | — | ~8.6k | Automated safety check: Notes | Apache-2.0 | |
| Vss Deploy ProfileNVIDIA/skills | 3.6k | — | ~5k | Automated safety check: Notes | Apache-2.0 | |
| System Designninehills/skills | 280 | — | ~4.7k | Automated safety check: Pass | MIT | |
| Backend Designitseffi/agentic-os | 114 | — | ~474 | Automated safety check: Pass | MIT | |
| System Designwondelai/skills | 2.4k | — | ~4k | Automated safety check: Pass | MIT |
NVIDIA-AI-Blueprints/video-search-and-summarization
Plan, run, and diagnose reproducible RT-VLM GPU performance canaries and benchmarks.
NVIDIA/skills
A skill your agent uses to select, configure, deploy, verify, debug, or tear down a VSS profile (base, search, lvs, warehouse, edge).
ninehills/skills
Design scalable distributed systems using structured approaches for load balancing, caching, database scaling, and message queues.
itseffi/agentic-os
Design backend architecture for implementation with API contracts, data model changes, service boundaries, security, and observability.
wondelai/skills
Design scalable distributed systems using structured approaches for load balancing, caching, database scaling, and message queues.
golemcloud/golem
Adding saga-pattern transactions with compensation to a Scala Golem agent.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Categories
Implement Istio and Linkerd service meshes. An agent skill from sickn33/agentic-awesome-skills. Service Mesh is an agent skill from sickn33/agentic-awesome-skills. Implement Istio and Linkerd service meshes.
Service Mesh fits situations like: managing microservices communication; tasks that involve Microservices.
Run `npx skills add sickn33/agentic-awesome-skills --skill service-mesh -a claude-code`. Or copy the skill folder (skills/service-mesh in sickn33/agentic-awesome-skills) into .claude/skills/service-mesh in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill service-mesh -a codex`. Or copy the skill folder (skills/service-mesh in sickn33/agentic-awesome-skills) into .agents/skills/service-mesh in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill service-mesh -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/service-mesh, .gemini/skills/service-mesh, .github/skills/service-mesh and .opencode/skills/service-mesh in your project.
Going by SKILL.md and its folder, Service Mesh needs the command-line tools its instructions call (kubectl, curl and sh). Compatibility (from SKILL.md): Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled..
SKILL.md names 2 domains. In commands or code: istio.io and run.linkerd.io; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Service Mesh is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Service Mesh: Rtvi Vlm Perf Testing (NVIDIA-AI-Blueprints/video-search-and-summarization, 1.9k stars), Vss Deploy Profile (NVIDIA/skills, 3.6k stars), System Design (ninehills/skills, 280 stars) and Backend Design (itseffi/agentic-os, 114 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.