fathom-prod-checklist
Production readiness checklist for Fathom API integrations. Trigger with phrases like "fathom production", "fathom go-live", "fathom checklist".
What this skill does
# Fathom Production Checklist
## Overview
Fathom provides AI-powered meeting intelligence with automated transcription, summaries, and action item extraction. A production integration ingests meeting recordings, processes transcripts, and syncs action items to downstream systems. Failures mean lost meeting context, missed follow-ups, or transcript data leaking outside authorized channels. This checklist ensures reliable, compliant meeting data pipelines.
## Authentication & Secrets
- [ ] `FATHOM_API_KEY` stored in secrets manager (not environment files)
- [ ] OAuth app registered if building public-facing integration
- [ ] Key rotation schedule documented (90-day cycle)
- [ ] Separate credentials for dev/staging/prod environments
- [ ] Webhook signing secret configured for payload verification
## API Integration
- [ ] Production base URL configured (`https://api.fathom.video/v1`)
- [ ] Rate limit handling with backoff (60 req/min standard tier)
- [ ] Webhook endpoint registered and tested with sample payloads
- [ ] Meeting recording retrieval handles large file downloads
- [ ] Transcript pagination implemented for long meetings (>60 min)
- [ ] Action item extraction tested with various meeting formats
- [ ] Calendar integration sync verified (Google Calendar / Outlook)
## Error Handling & Resilience
- [ ] Circuit breaker configured for Fathom API outages
- [ ] Retry with exponential backoff for 429/5xx responses
- [ ] Empty or partial transcript handling (silent meetings, poor audio)
- [ ] Webhook delivery failures trigger re-fetch via polling
- [ ] Meeting data PII handling documented (GDPR consent, retention)
- [ ] Backup webhook URL configured for failover
## Monitoring & Alerting
- [ ] API latency tracked per endpoint (meetings, transcripts)
- [ ] Error rate alerts set (threshold: >5% over 10 minutes)
- [ ] Failed transcript processing triggers notification
- [ ] Webhook delivery success rate monitored
- [ ] Daily digest of processed meeting counts vs scheduled
## Validation Script
```typescript
async function checkFathomReadiness(): Promise<void> {
const checks: { name: string; pass: boolean; detail: string }[] = [];
// API connectivity
try {
const res = await fetch('https://api.fathom.video/v1/meetings?limit=1', {
headers: { Authorization: `Bearer ${process.env.FATHOM_API_KEY}` },
});
checks.push({ name: 'Fathom API', pass: res.ok, detail: res.ok ? 'Connected' : `HTTP ${res.status}` });
} catch (e: any) { checks.push({ name: 'Fathom API', pass: false, detail: e.message }); }
// Credentials present
checks.push({ name: 'API Key Set', pass: !!process.env.FATHOM_API_KEY, detail: process.env.FATHOM_API_KEY ? 'Present' : 'MISSING' });
// Webhook endpoint reachable
const webhookUrl = process.env.FATHOM_WEBHOOK_URL;
if (webhookUrl) {
try {
const res = await fetch(webhookUrl, { method: 'HEAD' });
checks.push({ name: 'Webhook Endpoint', pass: res.ok, detail: `HTTP ${res.status}` });
} catch (e: any) { checks.push({ name: 'Webhook Endpoint', pass: false, detail: e.message }); }
} else { checks.push({ name: 'Webhook Endpoint', pass: false, detail: 'URL not configured' }); }
for (const c of checks) console.log(`[${c.pass ? 'PASS' : 'FAIL'}] ${c.name}: ${c.detail}`);
}
checkFathomReadiness();
```
## Error Handling
| Check | Risk if Skipped | Priority |
|-------|----------------|----------|
| API key rotation | Expired key halts transcript pipeline | P1 |
| Webhook verification | Spoofed payloads inject bad data | P1 |
| PII retention policy | GDPR/CCPA violation on meeting data | P1 |
| Empty transcript handling | Downstream systems crash on null | P2 |
| Rate limit backoff | Bulk meeting import blocked by 429 | P3 |
## Resources
- Fathom API Docs
- [Fathom Status](https://status.fathom.video)
## Next Steps
See `fathom-security-basics` for meeting data privacy and consent patterns.
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.