Happy Infra Metrics and Grafana
slopus/happy
Queries live Prometheus metrics and manages Grafana dashboards as code for Happy's infrastructure, using the grafanactl CLI and the Grafana datasource proxy API.
Set up monitoring, metrics, and alerting for Figma API integrations.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-observability -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace figma-observability --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/figma-observability .claude/skills/figma-observability && 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 "figma-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-observability into .claude/skills/figma-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-observability", 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/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-observabilityType 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 jeremylongshore/tons-of-skills-marketplace --skill figma-observability -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace figma-observability --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/figma-observability .agents/skills/figma-observability && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "figma-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-observability into .agents/skills/figma-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-observability", 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 jeremylongshore/tons-of-skills-marketplace --skill figma-observability -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace figma-observability --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/figma-observability .cursor/skills/figma-observability && 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 "figma-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-observability into .cursor/skills/figma-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-observability", 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/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/figma-observability--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 jeremylongshore/tons-of-skills-marketplace --skill figma-observability -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace figma-observability --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/figma-observability .gemini/skills/figma-observability && 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 "figma-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-observability into .gemini/skills/figma-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-observability", 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 jeremylongshore/tons-of-skills-marketplace figma-observabilityInstalls 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 jeremylongshore/tons-of-skills-marketplace --skill figma-observability -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/figma-observability .github/skills/figma-observability && 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 "figma-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-observability into .github/skills/figma-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-observability", 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 jeremylongshore/tons-of-skills-marketplace --skill figma-observability -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace figma-observability --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/figma-observability .opencode/skills/figma-observability && 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 "figma-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-observability into .opencode/skills/figma-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-observability", 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.
figma-observabilitySet up monitoring, metrics, and alerting for Figma API integrations.
Figma Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Set up monitoring, metrics, and alerting for Figma API integrations. Use when implementing observability for Figma operations, tracking API health, or configuring alerts for rate limits and errors. Trigger with phrases like "figma monitoring", "figma metrics", "figma observability", "figma alerts", "figma dashboard".
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/alert-rules.md`, `references/errors.md` and `references/health-check-with-details.md`). Compatibility notes: Designed for Claude Code
It sits in DevOps & Cloud, covering Observability, Monitoring and alerting and Rate limiting. It works with Figma and Prometheus. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curljqFrom 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:
api.figma.comAlso links to:
prometheus.ioopentelemetry.iodevelopers.figma.comFrom 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.
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Figma Observability loads about 2k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 194 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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 194 words, ~1,957 tokens.
.claude/skills/figma-observability/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Monitor Figma REST API health with custom metrics, structured logging, and alerts. Track request latency, error rates, rate limit headroom, and cache hit rates.
// Wrap every Figma API call with metrics and logging
class InstrumentedFigmaClient {
private metrics = {
requests: 0,
errors: 0,
rateLimits: 0,
totalLatencyMs: 0,
};
async request<T>(path: string, token: string): Promise<T> {
const start = performance.now();
const endpoint = path.replace(/[a-zA-Z0-9]{15,}/, ':key'); // normalize
try {
const res = await fetch(`https://api.figma.com${path}`, {
headers: { 'X-Figma-Token': token },
});
const latencyMs = performance.now() - start;
this.metrics.requests++;
this.metrics.totalLatencyMs += latencyMs;
// Log every request with structured data
console.log(JSON.stringify({
service: 'figma',
endpoint,
status: res.status,
latencyMs: Math.round(latencyMs),
rateLimit: {
remaining: res.headers.get('X-RateLimit-Remaining'),
type: res.headers.get('X-Figma-Rate-Limit-Type'),
},
}));
if (res.status === 429) {
this.metrics.rateLimits++;
const retryAfter = parseInt(res.headers.get('Retry-After') || '60');
throw new FigmaRateLimitError(retryAfter);
}
if (!res.ok) {
this.metrics.errors++;
throw new FigmaApiError(res.status, await res.text());
}
return res.json();
} catch (error) {
if (!(error instanceof FigmaApiError)) {
this.metrics.errors++;
console.error(JSON.stringify({
service: 'figma',
endpoint,
error: error instanceof Error ? error.message : 'Unknown',
latencyMs: Math.round(performance.now() - start),
}));
}
throw error;
}
}
getMetrics() {
return {
...this.metrics,
avgLatencyMs: this.metrics.requests > 0
? Math.round(this.metrics.totalLatencyMs / this.metrics.requests)
: 0,
errorRate: this.metrics.requests > 0
? (this.metrics.errors / this.metrics.requests * 100).toFixed(1) + '%'
: '0%',
};
}
}import { Registry, Counter, Histogram, Gauge } from 'prom-client';
const registry = new Registry();
const figmaRequests = new Counter({
name: 'figma_api_requests_total',
help: 'Total Figma API requests',
labelNames: ['endpoint', 'status'],
registers: [registry],
});
const figmaLatency = new Histogram({
name: 'figma_api_request_duration_seconds',
help: 'Figma API request duration in seconds',
labelNames: ['endpoint'],
buckets: [0.1, 0.25, 0.5, 1, 2, 5, 10],
registers: [registry],
});
const figmaRateLimitRemaining = new Gauge({
name: 'figma_rate_limit_remaining',
help: 'Remaining Figma API rate limit',
registers: [registry],
});
const figmaCacheHits = new Counter({
name: 'figma_cache_hits_total',
help: 'Figma cache hits vs misses',
labelNames: ['result'], // 'hit' or 'miss'
registers: [registry],
});
// Expose /metrics endpoint
app.get('/metrics', async (req, res) => {
res.set('Content-Type', registry.contentType);
res.send(await registry.metrics());
});# prometheus-alerts.yml
groups:
- name: figma
rules:
- alert: FigmaHighErrorRate
expr: |
rate(figma_api_requests_total{status=~"4..|5.."}[5m])
/ rate(figma_api_requests_total[5m]) > 0.05
for: 5m
labels: { severity: warning }
annotations:
summary: "Figma API error rate > 5% for 5 minutes"
- alert: FigmaRateLimited
expr: figma_rate_limit_remaining < 5
for: 1m
labels: { severity: warning }
annotations:
summary: "Figma rate limit nearly exhausted"
- alert: FigmaHighLatency
expr: |
histogram_quantile(0.95,
rate(figma_api_request_duration_seconds_bucket[5m])
) > 5
for: 5m
labels: { severity: warning }
annotations:
summary: "Figma API P95 latency > 5 seconds"
- alert: FigmaAuthFailure
expr: figma_api_requests_total{status="403"} > 0
for: 1m
labels: { severity: critical }
annotations:
summary: "Figma auth failures detected (possible expired PAT)"async function figmaHealthCheck(): Promise<{
status: 'healthy' | 'degraded' | 'unhealthy';
details: Record<string, any>;
}> {
const start = Date.now();
try {
const res = await fetch('https://api.figma.com/v1/me', {
headers: { 'X-Figma-Token': process.env.FIGMA_PAT! },
signal: AbortSignal.timeout(5000),
});
const latencyMs = Date.now() - start;
const remaining = res.headers.get('X-RateLimit-Remaining');
return {
status: res.ok ? (latencyMs > 3000 ? 'degraded' : 'healthy') : 'degraded',
details: {
authenticated: res.ok,
latencyMs,
rateLimitRemaining: remaining ? parseInt(remaining) : null,
planTier: res.headers.get('X-Figma-Plan-Tier'),
},
};
} catch {
return {
status: 'unhealthy',
details: { authenticated: false, latencyMs: Date.now() - start },
};
}
}| Issue | Cause | Solution |
|---|---|---|
| High cardinality | Too many label values | Normalize endpoint paths |
| Alert storms | Threshold too low | Tune for duration and thresholds |
| Missing rate limit headers | Not all endpoints return them | Handle null values gracefully |
| Metrics not scraping | Wrong port or path | Verify Prometheus scrape config |
Scrape the instrumented client's metrics (Step 2) and confirm request tracking works:
curl -s localhost:9090/metrics | /usr/bin/grep figma_figma_api_requests_total{endpoint="/v1/files",status="200"} 1042
figma_api_requests_total{endpoint="/v1/files",status="429"} 3
figma_api_request_duration_seconds_bucket{le="0.5"} 981
figma_rate_limit_remaining 118Fire the health check with dependency detail (Step 4):
curl -s localhost:3000/health | jq '{status, figma: .checks.figma_api}'
# {"status": "ok", "figma": {"reachable": true, "latency_ms": 212}}Alert thresholds (429 rate, p95 latency) are in references/alert-rules.md.
For incident response, see figma-incident-runbook.
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (references) in skills/.curated/figma-observability of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Figma Observability 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 |
|---|---|---|---|---|---|---|
| Figma Observability this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2k | Automated safety check: Pass | MIT | |
| Happy Infra Metrics and Grafanaslopus/happy | 24k | — | ~2k | Automated safety check: Notes | MIT | |
| WizTelemetry Platform Servicekubesphere/kubesphere | 17k | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| Redis Observabilityredis/agent-skills | 166 | 2 repos | ~911 | Automated safety check: Pass | MIT | |
| Alicloud Acs Agent Sandboxcinience/alicloud-skills | 397 | — | ~2.7k | Automated safety check: Pass | MIT | |
| Developing Funboost Mixinydf0509/funboost | 895 | — | ~2.1k | Automated safety check: Pass | None |
slopus/happy
Queries live Prometheus metrics and manages Grafana dashboards as code for Happy's infrastructure, using the grafanactl CLI and the Grafana datasource proxy API.
kubesphere/kubesphere
Installs and configures the WizTelemetry Platform Service extension for KubeSphere, the shared API server behind its observability extensions.
redis/agent-skills
Redis observability guidance — which metrics to monitor (memory, connections, hit ratio, ops/sec, rejected connections), which built-in commands to reach for during incident triage (SLOWLOG, INFO…
cinience/alicloud-skills
Bootstrap, create, connect to, operate, secure, scale, upgrade, troubleshoot, inspect, and tear down Alibaba Cloud Container Compute Service (ACS) Agent Sandbox environments.
ydf0509/funboost
当需要为 funboost 创建 Consumer 或 Publisher 的 Mixin 扩展类时使用。触发场景:添加监控、熔断、限流、链路追踪等横切关注点,编写自定义前置/后置处理钩子。关键词:mixin, consumeroverridecls, publisheroverridecls, ConsumerMixin, 自定义消费者, hook, 拦截器, 熔断器, 监控…
prometheus/prometheus-mcp
Builds a picture of whether Prometheus itself is healthy and successfully monitoring its targets, covering readiness, firing alerts, target health and TSDB load.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Works with
Categories
Set up monitoring, metrics, and alerting for Figma API integrations. Figma Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Set up monitoring, metrics, and alerting for Figma API integrations.
Figma Observability fits situations like: implementing observability for Figma operations; tracking API health; configuring alerts for rate limits and errors; with phrases like figma monitoring.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-observability -a claude-code`. Or copy the skill folder (skills/.curated/figma-observability in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/figma-observability in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-observability -a codex`. Or copy the skill folder (skills/.curated/figma-observability in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/figma-observability 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 jeremylongshore/tons-of-skills-marketplace --skill figma-observability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/figma-observability, .gemini/skills/figma-observability, .github/skills/figma-observability and .opencode/skills/figma-observability in your project.
Going by SKILL.md and its folder, Figma Observability needs the command-line tools its instructions call (curl and jq). Its frontmatter pre-approves these tools: Read, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code.
SKILL.md names 4 domains. In commands or code: api.figma.com; the agent is likely to contact it when it follows the instructions. As links in the text: prometheus.io, opentelemetry.io and developers.figma.com. 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.
Figma Observability is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Figma Observability: Happy Infra Metrics and Grafana (slopus/happy, 24k stars), WizTelemetry Platform Service (kubesphere/kubesphere, 17k stars), Redis Observability (redis/agent-skills, 166 stars) and Alicloud Acs Agent Sandbox (cinience/alicloud-skills, 397 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.