Developing Funboost Mixin
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…
Set up Apollo.io monitoring and observability. An agent skill from jeremylongshore/tons-of-skills-marketplace.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill apollo-observability -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace apollo-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/apollo-observability .claude/skills/apollo-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 "apollo-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/apollo-observability into .claude/skills/apollo-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apollo-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/apollo-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 apollo-observability -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace apollo-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/apollo-observability .agents/skills/apollo-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 "apollo-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/apollo-observability into .agents/skills/apollo-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apollo-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 apollo-observability -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace apollo-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/apollo-observability .cursor/skills/apollo-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 "apollo-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/apollo-observability into .cursor/skills/apollo-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apollo-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/apollo-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 apollo-observability -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace apollo-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/apollo-observability .gemini/skills/apollo-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 "apollo-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/apollo-observability into .gemini/skills/apollo-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apollo-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 apollo-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 apollo-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/apollo-observability .github/skills/apollo-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 "apollo-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/apollo-observability into .github/skills/apollo-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apollo-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 apollo-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 apollo-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/apollo-observability .opencode/skills/apollo-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 "apollo-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/apollo-observability into .opencode/skills/apollo-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apollo-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.
apollo-observabilitySet up Apollo.io monitoring and observability. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Apollo Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Set up Apollo.io monitoring and observability. Use when implementing logging, metrics, tracing, and alerting for Apollo integrations. Trigger with phrases like "apollo monitoring", "apollo metrics", "apollo observability", "apollo logging", "apollo alerts".
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/implementation-guide.md`). Compatibility notes: Designed for Claude Code
It sits in DevOps & Cloud, covering Observability, GraphQL and Monitoring and alerting. It works with OpenTelemetry 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.
6 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:
ReadWriteEditBash(kubectl:*)Bash(curl:*)From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript and yaml).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comopentelemetry.iogetpino.iodocs.apollo.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.
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Apollo Observability loads about 2.3k tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 275 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). 275 words, ~2,348 tokens.
.claude/skills/apollo-observability/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Comprehensive observability for Apollo.io integrations: Prometheus metrics (request count, latency, rate limits, credits), structured logging with PII redaction, OpenTelemetry tracing, and alerting rules. Tracks the metrics that matter: credit burn rate, enrichment success rate, and API health.
// src/observability/metrics.ts
import { Counter, Histogram, Gauge, Registry } from 'prom-client';
export const registry = new Registry();
export const requestsTotal = new Counter({
name: 'apollo_requests_total',
help: 'Total Apollo API requests by endpoint and status',
labelNames: ['endpoint', 'method', 'status'] as const,
registers: [registry],
});
export const requestDuration = new Histogram({
name: 'apollo_request_duration_seconds',
help: 'Apollo API request duration',
labelNames: ['endpoint'] as const,
buckets: [0.1, 0.25, 0.5, 1, 2.5, 5, 10],
registers: [registry],
});
export const rateLimitRemaining = new Gauge({
name: 'apollo_rate_limit_remaining',
help: 'Remaining requests in current rate limit window',
labelNames: ['endpoint'] as const,
registers: [registry],
});
export const creditsUsed = new Counter({
name: 'apollo_credits_used_total',
help: 'Total Apollo enrichment credits consumed',
labelNames: ['type'] as const, // 'person', 'organization', 'bulk'
registers: [registry],
});
export const enrichmentSuccessRate = new Gauge({
name: 'apollo_enrichment_success_rate',
help: 'Percentage of enrichment calls that found a match',
registers: [registry],
});// src/observability/instrument.ts
import { AxiosInstance } from 'axios';
import { requestsTotal, requestDuration, rateLimitRemaining, creditsUsed } from './metrics';
const CREDIT_ENDPOINTS = ['/people/match', '/people/bulk_match', '/organizations/enrich'];
export function instrumentClient(client: AxiosInstance) {
client.interceptors.request.use((config) => {
(config as any)._startTime = Date.now();
return config;
});
client.interceptors.response.use(
(response) => {
const endpoint = response.config.url ?? 'unknown';
const duration = (Date.now() - (response.config as any)._startTime) / 1000;
requestsTotal.inc({ endpoint, method: response.config.method?.toUpperCase() ?? 'GET', status: String(response.status) });
requestDuration.observe({ endpoint }, duration);
// Rate limit tracking
const remaining = response.headers['x-rate-limit-remaining'];
if (remaining) rateLimitRemaining.set({ endpoint }, parseInt(remaining, 10));
// Credit tracking
if (CREDIT_ENDPOINTS.some((ep) => endpoint.includes(ep))) {
const type = endpoint.includes('bulk') ? 'bulk' : endpoint.includes('organization') ? 'organization' : 'person';
const count = response.data?.matches?.length ?? 1;
creditsUsed.inc({ type }, count);
}
return response;
},
(err) => {
requestsTotal.inc({
endpoint: err.config?.url ?? 'unknown',
method: err.config?.method?.toUpperCase() ?? 'GET',
status: String(err.response?.status ?? 0),
});
return Promise.reject(err);
},
);
}// src/observability/logger.ts
import pino from 'pino';
export const logger = pino({
level: process.env.LOG_LEVEL ?? 'info',
redact: {
paths: ['*.email', '*.phone_numbers', '*.linkedin_url', 'headers.x-api-key'],
censor: '[REDACTED]',
},
formatters: { level: (label) => ({ level: label }) },
transport: process.env.NODE_ENV !== 'production' ? { target: 'pino-pretty' } : undefined,
});
export const apolloLog = logger.child({ service: 'apollo' });
// Usage:
// apolloLog.info({ endpoint: '/mixed_people/api_search', results: 25 }, 'Search completed');
// apolloLog.warn({ endpoint: '/people/match', status: 429 }, 'Rate limited');
// apolloLog.error({ err, endpoint: '/contacts' }, 'Request failed');// src/observability/tracing.ts
import { trace, SpanStatusCode } from '@opentelemetry/api';
import { AxiosInstance } from 'axios';
const tracer = trace.getTracer('apollo-integration');
export function addTracing(client: AxiosInstance) {
client.interceptors.request.use((config) => {
const span = tracer.startSpan(`apollo.${config.method?.toUpperCase()} ${config.url}`);
span.setAttribute('apollo.endpoint', config.url ?? '');
(config as any)._span = span;
return config;
});
client.interceptors.response.use(
(response) => {
const span = (response.config as any)._span;
if (span) {
span.setAttribute('http.status_code', response.status);
span.setAttribute('apollo.rate_limit_remaining', response.headers['x-rate-limit-remaining'] ?? 'unknown');
span.setStatus({ code: SpanStatusCode.OK });
span.end();
}
return response;
},
(err) => {
const span = (err.config as any)?._span;
if (span) {
span.setAttribute('http.status_code', err.response?.status ?? 0);
span.setStatus({ code: SpanStatusCode.ERROR, message: err.message });
span.end();
}
return Promise.reject(err);
},
);
}# prometheus/apollo-alerts.yml
groups:
- name: apollo-integration
rules:
- alert: ApolloHighErrorRate
expr: rate(apollo_requests_total{status=~"4..|5.."}[5m]) / rate(apollo_requests_total[5m]) > 0.1
for: 5m
labels: { severity: critical }
annotations: { summary: "Apollo API error rate > 10% for 5 minutes" }
- alert: ApolloRateLimitLow
expr: apollo_rate_limit_remaining < 20
for: 1m
labels: { severity: warning }
annotations: { summary: "Apollo rate limit below 20 remaining requests" }
- alert: ApolloHighLatency
expr: histogram_quantile(0.95, rate(apollo_request_duration_seconds_bucket[5m])) > 5
for: 10m
labels: { severity: warning }
annotations: { summary: "Apollo p95 latency > 5s for 10 minutes" }
- alert: ApolloCreditBurnRate
expr: rate(apollo_credits_used_total[1h]) * 24 > 500
for: 30m
labels: { severity: warning }
annotations: { summary: "Apollo credit burn rate projects > 500/day" }import express from 'express';
import { registry } from './metrics';
const metricsApp = express();
metricsApp.get('/metrics', async (_, res) => {
res.set('Content-Type', registry.contentType);
res.end(await registry.metrics());
});
metricsApp.get('/health', (_, res) => res.json({ status: 'ok' }));
// Keep metrics private; expose it to a scraper through a local agent or an
// explicitly authenticated, network-restricted deployment path.
metricsApp.listen(9090, '127.0.0.1', () => console.log('Metrics on 127.0.0.1:9090'));/metrics and /health HTTP endpointsFor a new enrichment worker, instrument the client before its first request,
scrape /metrics only through the approved local collector or a
network-restricted authenticated path, and confirm that a synthetic 429
increments the error and rate-limit signals without emitting a contact record
or API key. Temporarily lower the rate-limit threshold in a non-production
environment to prove the alert reaches the on-call route, then restore the
production threshold. If a metric endpoint is publicly reachable, labels carry
unbounded values, or the alert has no owner, block the rollout until the
exposure or operational gap is corrected.
| Issue | Resolution |
|---|---|
| Missing metrics | Verify instrumentClient() called before first API call |
| Alert noise | Tune for duration and thresholds |
| Log volume | Use LOG_LEVEL=warn in production |
| Credit burn alert | Review enrichment scoring thresholds in apollo-cost-tuning |
Proceed to apollo-incident-runbook for incident response.
© 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 1 other file (references) in skills/.curated/apollo-observability of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Apollo 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 |
|---|---|---|---|---|---|---|
| Apollo Observability this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Developing Funboost Mixinydf0509/funboost | 895 | — | ~2.1k | Automated safety check: Pass | None | |
| Archestra Dev Observabilityarchestra-ai/archestra | 4.4k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Frontmcp Observabilityagentfront/frontmcp | 146 | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Monitoring Observabilityahmedasmar/devops-claude-skills | 203 | — | ~3.9k | Automated safety check: Pass | None | |
| Observability Architecturemajiayu000/litellm-rs | 118 | — | ~1.3k | Automated safety check: Pass | MIT |
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…
archestra-ai/archestra
A skill your agent uses when changing Archestra tracing, metrics, OpenTelemetry, Tempo, Grafana, Prometheus, LLM/MCP spans, observability labels, or local observability setup.
agentfront/frontmcp
A skill your agent uses when adding tracing, structured logging, metrics, or monitoring to a FrontMCP server.
ahmedasmar/devops-claude-skills
Monitoring and observability strategy, implementation, and troubleshooting.
majiayu000/litellm-rs
LiteLLM-RS Observability Architecture. An agent skill from majiayu000/litellm-rs.
Jeffallan/claude-skills
Sets up application monitoring: structured logs, Prometheus metrics, OpenTelemetry tracing, Grafana dashboards, alert rules and load tests with k6 or Artillery.
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 Apollo.io monitoring and observability. An agent skill from jeremylongshore/tons-of-skills-marketplace. Apollo Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace.io monitoring and observability.
Apollo Observability fits situations like: implementing logging; alerting for Apollo integrations; with phrases like apollo monitoring; apollo observability.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill apollo-observability -a claude-code`. Or copy the skill folder (skills/.curated/apollo-observability in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/apollo-observability in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill apollo-observability -a codex`. Or copy the skill folder (skills/.curated/apollo-observability in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/apollo-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 apollo-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/apollo-observability, .gemini/skills/apollo-observability, .github/skills/apollo-observability and .opencode/skills/apollo-observability in your project.
SKILL.md names no scripts, command-line tools or credentials: Apollo Observability is instructions for the agent only. Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(kubectl:*), Bash(curl:*). Compatibility (from SKILL.md): Designed for Claude Code.
SKILL.md names 4 domains. As links in the text: github.com, opentelemetry.io, getpino.io and docs.apollo.io. 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.
Apollo 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 2.3k tokens (SKILL.md is roughly 9.4k 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 3.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Apollo Observability: Developing Funboost Mixin (ydf0509/funboost, 895 stars), Archestra Dev Observability (archestra-ai/archestra, 4.4k stars), Frontmcp Observability (agentfront/frontmcp, 146 stars) and Monitoring Observability (ahmedasmar/devops-claude-skills, 203 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.