jeremylongshore

gamma-observability

@jeremylongshore/gamma-observability
jeremylongshore
1,004
123 forks
Updated 1/18/2026
View on GitHub

Implement comprehensive observability for Gamma integrations. Use when setting up monitoring, logging, tracing, or building dashboards for Gamma API usage. Trigger with phrases like "gamma monitoring", "gamma logging", "gamma metrics", "gamma observability", "gamma dashboard".

Installation

$skills install @jeremylongshore/gamma-observability
Claude Code
Cursor
Copilot
Codex
Antigravity

Details

Pathplugins/saas-packs/gamma-pack/skills/gamma-observability/SKILL.md
Branchmain
Scoped Name@jeremylongshore/gamma-observability

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions


name: gamma-observability description: | Implement comprehensive observability for Gamma integrations. Use when setting up monitoring, logging, tracing, or building dashboards for Gamma API usage. Trigger with phrases like "gamma monitoring", "gamma logging", "gamma metrics", "gamma observability", "gamma dashboard". allowed-tools: Read, Write, Edit version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Gamma Observability

Overview

Implement comprehensive monitoring, logging, and tracing for Gamma integrations.

Prerequisites

  • Observability stack (Prometheus, Grafana, or cloud equivalent)
  • Log aggregation (ELK, CloudWatch, or similar)
  • APM tool (Datadog, New Relic, or OpenTelemetry)

Three Pillars of Observability

1. Metrics

// lib/gamma-metrics.ts
import { Counter, Histogram, Gauge, Registry } from 'prom-client';

const registry = new Registry();

// Request metrics
const requestCounter = new Counter({
  name: 'gamma_requests_total',
  help: 'Total Gamma API requests',
  labelNames: ['method', 'endpoint', 'status'],
  registers: [registry],
});

const requestDuration = new Histogram({
  name: 'gamma_request_duration_seconds',
  help: 'Gamma API request duration',
  labelNames: ['method', 'endpoint'],
  buckets: [0.1, 0.5, 1, 2, 5, 10, 30],
  registers: [registry],
});

// Business metrics
const presentationsCreated = new Counter({
  name: 'gamma_presentations_created_total',
  help: 'Total presentations created',
  labelNames: ['style', 'user_tier'],
  registers: [registry],
});

const rateLimitRemaining = new Gauge({
  name: 'gamma_rate_limit_remaining',
  help: 'Remaining API calls in rate limit window',
  registers: [registry],
});

// Instrumented client
export function createInstrumentedClient() {
  return new GammaClient({
    apiKey: process.env.GAMMA_API_KEY,
    interceptors: {
      request: (config) => {
        config._startTime = Date.now();
        return config;
      },
      response: (response, config) => {
        const duration = (Date.now() - config._startTime) / 1000;
        const endpoint = config.path.split('/')[1];

        requestCounter.inc({
          method: config.method,
          endpoint,
          status: response.status,
        });

        requestDuration.observe(
          { method: config.method, endpoint },
          duration
        );

        // Update rate limit gauge
        const remaining = response.headers['x-ratelimit-remaining'];
        if (remaining) {
          rateLimitRemaining.set(parseInt(remaining, 10));
        }

        return response;
      },
    },
  });
}

2. Logging

// lib/gamma-logger.ts
import winston from 'winston';

const logger = winston.createLogger({
  level: process.env.LOG_LEVEL || 'info',
  format: winston.format.combine(
    winston.format.timestamp(),
    winston.format.errors({ stack: true }),
    winston.format.json()
  ),
  defaultMeta: { service: 'gamma-integration' },
  transports: [
    new winston.transports.Console(),
    new winston.transports.File({ filename: 'gamma-error.log', level: 'error' }),
    new winston.transports.File({ filename: 'gamma-combined.log' }),
  ],
});

// Structured logging for Gamma operations
export function logGammaRequest(operation: string, params: object) {
  logger.info('Gamma API request', {
    operation,
    params: sanitizeParams(params),
    timestamp: new Date().toISOString(),
  });
}

export function logGammaResponse(operation: string, response: object, duration: number) {
  logger.info('Gamma API response', {
    operation,
    duration,
    success: true,
    responseId: response.id,
  });
}

export function logGammaError(operation: string, error: Error, context: object) {
  logger.error('Gamma API error', {
    operation,
    error: error.message,
    stack: error.stack,
    context,
  });
}

function sanitizeParams(params: object): object {
  const sanitized = { ...params };
  // Remove sensitive fields
  delete sanitized.apiKey;
  delete sanitized.secret;
  return sanitized;
}

3. Distributed Tracing

// lib/gamma-tracing.ts
import { trace, SpanKind, SpanStatusCode } from '@opentelemetry/api';

const tracer = trace.getTracer('gamma-integration');

export async function traceGammaCall<T>(
  operationName: string,
  fn: () => Promise<T>
): Promise<T> {
  return tracer.startActiveSpan(
    `gamma.${operationName}`,
    { kind: SpanKind.CLIENT },
    async (span) => {
      try {
        const result = await fn();

        span.setAttributes({
          'gamma.operation': operationName,
          'gamma.success': true,
        });

        span.setStatus({ code: SpanStatusCode.OK });
        return result;
      } catch (error) {
        span.setAttributes({
          'gamma.operation': operationName,
          'gamma.success': false,
          'gamma.error': error.message,
        });

        span.setStatus({
          code: SpanStatusCode.ERROR,
          message: error.message,
        });

        span.recordException(error);
        throw error;
      } finally {
        span.end();
      }
    }
  );
}

// Usage
const presentation = await traceGammaCall('presentations.create', () =>
  gamma.presentations.create({ title: 'My Deck', prompt: 'AI content' })
);

Dashboard Configuration

Grafana Dashboard

{
  "title": "Gamma Integration",
  "panels": [
    {
      "title": "Request Rate",
      "type": "graph",
      "targets": [
        { "expr": "rate(gamma_requests_total[5m])" }
      ]
    },
    {
      "title": "Latency P95",
      "type": "graph",
      "targets": [
        { "expr": "histogram_quantile(0.95, rate(gamma_request_duration_seconds_bucket[5m]))" }
      ]
    },
    {
      "title": "Error Rate",
      "type": "stat",
      "targets": [
        { "expr": "rate(gamma_requests_total{status=~'5..'}[5m]) / rate(gamma_requests_total[5m])" }
      ]
    },
    {
      "title": "Rate Limit Remaining",
      "type": "gauge",
      "targets": [
        { "expr": "gamma_rate_limit_remaining" }
      ]
    }
  ]
}

Alert Rules

# prometheus/alerts.yml
groups:
  - name: gamma
    rules:
      - alert: GammaHighErrorRate
        expr: rate(gamma_requests_total{status=~"5.."}[5m]) / rate(gamma_requests_total[5m]) > 0.05
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: High Gamma API error rate

      - alert: GammaRateLimitLow
        expr: gamma_rate_limit_remaining < 10
        for: 1m
        labels:
          severity: critical
        annotations:
          summary: Gamma rate limit nearly exhausted

      - alert: GammaHighLatency
        expr: histogram_quantile(0.95, rate(gamma_request_duration_seconds_bucket[5m])) > 5
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: Gamma API latency is high

Health Check Endpoint

// routes/health.ts
app.get('/health/gamma', async (req, res) => {
  const health = {
    status: 'unknown',
    latency: 0,
    rateLimit: { remaining: 0, limit: 0 },
    timestamp: new Date().toISOString(),
  };

  try {
    const start = Date.now();
    const response = await gamma.ping();
    health.latency = Date.now() - start;
    health.status = response.ok ? 'healthy' : 'degraded';
    health.rateLimit = {
      remaining: response.rateLimit.remaining,
      limit: response.rateLimit.limit,
    };
  } catch (error) {
    health.status = 'unhealthy';
  }

  const statusCode = health.status === 'healthy' ? 200 : 503;
  res.status(statusCode).json(health);
});

Resources

Next Steps

Proceed to gamma-incident-runbook for incident response.

More by jeremylongshore

View all
rabbitmq-queue-setup
1,004

Rabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.

model-evaluation-suite
1,004

evaluating-machine-learning-models: This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".

neural-network-builder
1,004

building-neural-networks: This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").

oauth-callback-handler
1,004

Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.