SkillAtlasSkill 详情

deepgram-incident-runbook

A model-agnostic agent-skills platform.

审核状态:已审核Quality 72Security 70

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项目 README

来源文件:README.md

抓取于 2026年8月29日

Tons of Skills

A model-agnostic agent-skills platform. The canonical layer is harness-free by construction; Claude Code is currently the verified-native harness. Other harnesses remain engineering candidates until their native-path integration is verified; source research alone is never presented as public support.

Release CLI Plugins Skills GitHub Stars skills.sh Sponsor: Kobiton Buy me a monster

ko-fi

Version semantics: the release badge is this marketplace's display version. npm packages, including the ccpi CLI and publishable plugins, retain their own package versions; they are intentionally not expected to equal the display version. The version-surface checker governs the display surfaces without rewriting package semver.

Install

Inside Claude Code, one command installs the whole marketplace:

/plugin marketplace add jeremylongshore/claude-code-plugins

Or use the CLI:

pnpm add -g @intentsolutionsio/ccpi
ccpi install devops-automation-pack

Browse the marketplace · Explore plugins · Download bundles

Killer Skill of the Week — no-ai-slop by Peter Yang

Strip AI slop from any draft — named-pattern edits that keep the writer's real voice

no-ai-slop does two jobs and refuses to fake a third. In Edit mode it makes the minimum effective edit — cutting throat-clearing, weak verbs, and abstract nouns while deliberately preserving the writer's cadence, bluntness, humor, and honest admissions, so a rough draft still sounds like the same person afterward. In Detect mode it names each AI-slop pattern it finds, quotes the offending line, and gives the fix in a few words — and pointedly does NOT score the draft or guess whether an AI wrote it. That restraint is the whole point: AI detectors guess; named patterns are evidence the reader can check. MIT-licensed, single focused skill, actively maintained by Peter Yang.

"AI detectors guess. Named patterns are evidence the user can check." — Peter Yang

Grade: A | Week of July 22, 2026 (W30) | View on GitHub

Previous picks: tonone, mnemos, databricks-pack, kobiton-automate, skyvern, code-cleanup, web-analytics, token-optimizer, executive-assistant-skills, skill-creator, cursor-pack, crypto-portfolio-tracker. See all at tonsofskills.com.

Scale, labeled

Every number below names the cohort it counts and the command that reproduces it — an unlabeled count is how a corpus ends up with five contradictory answers to "how many skills."

CountCohortReproduce with
442catalog plugins (catalog-entry cohort)node scripts/generate-readme-toc.mjs over marketplace.extended.json
3,067marketplace-visible skills (distinct)node -e "import('./scripts/corpus-resolver.mjs').then(m=>console.log(m.resolveCorpus('marketplace-visible').length))"
347agent definitions in pluginsgit ls-files 'plugins/**' | grep '/agents/.*\.md'
19plugin categoriesls -d plugins/*/

📦 Live npm Downloads

Across 396 published packages in the claude-code-plugins namespace. Updated daily by GitHub Actions.

WindowAll packagesEstablished (>30d)
Last 24 hours962962
Last 7 days2,9202,916
Last 30 days12,86812,779

"Established" excludes packages first published within the last 30 days, so a bulk-publish event doesn't dominate the headline.

Top 10 by last 30 days:

#PackageLast 30d
1@intentsolutionsio/openrouter-pack556
2@intentsolutionsio/groq-pack496
3@intentsolutionsio/databricks-pack274
4@intentsolutionsio/clickhouse-pack273
5@intentsolutionsio/wallet-security-auditor263
6@intentsolutionsio/notion-pack258
7@intentsolutionsio/elevenlabs-pack244
8@intentsolutionsio/freshie-inventory-manager214
9@intentsolutionsio/supabase-pack210
10@intentsolutionsio/agency-os204

Last refreshed 2026-08-19T03:03:05.709Z.

Ways in

Five real questions, five doors — each resolves to a live, generated surface, never a hand-maintained list:

Browse by category

The 19 categories below link into the live marketplace. Plugin counts are the catalog-entry cohort — regenerated from marketplace.extended.json by this generator; the catalog itself lives on tonsofskills.com, never in this file (§ 6A of the platform blueprint).

CategoryPlugins
🤖AI & Machine Learning36
🎭AI Agents & Agency10
🔌API Development26
💼Business Tools6
👥Community21
₿Crypto & Web327
💾Database26
🎨Design2
🔧DevOps & Infrastructure36
📚Examples & Templates5
🧩MCP Servers16
📦Packages5
⚡Performance25
✅Productivity30
🎁SaaS Skill Packs106
🔐Security27
✨Skill Enhancers9
🧪Testing28
📁Analytics1

What the classes mean

Four artifact classes live in this repository, distinguished on sight and never blurred — provenance is a truth requirement here, not a UX nicety:

ClassWhat it isHow the reader can tell
Canonical skillFirst-party, harness-free, the source of truthNo .source.json in its plugin directory
Generated adapterA thin, machine-produced harness projectionLives under a generated path with a "generated — do not edit" header
First-party packageAn Intent Solutions distribution (npm, cowork zip)@intentsolutionsio scope, IS-authored license
Upstream mirrorSomebody else's work, hosted mirror-by-default.source.json present — upstream author, license, and pinned commit recorded

Certification

Not yet certified. The certification program (tiers T0–T4 with retained, hash-matched evidence) is a later epic of the platform blueprint; until its report exists, no artifact on this surface claims a tier. This line is rendered from the absence of certification-report.json — honestly, not cosmetically.

Contribute

Start with the contribution guide, then the intake and review standards every submission passes through:

Governance

Provenance

External plugins are hosted mirror-by-default: the contributor's repository stays the source of truth, every mirrored source is pinned in a content lockfile, and upstream credit — author, license, resolved commit — is recorded in the mirror itself. Improvements flow by upstreaming to the author's repository, never by silently editing the mirror. The full decision record is the external-sync model.

License

MIT for the repository scaffolding and first-party tooling; each plugin carries its own license in its manifest, and mirrored plugins keep their upstream license verbatim.

其他

中风险

  • 来源需自行核对维护者身份。
  • 包含脚本或命令调用,安装前请复核。
  • 可能需要外部 token、网络权限或第三方服务。
  • 未检测到高风险命令。
  • 扫描发现:3 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/deepgram-incident-runbook" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/deepgram-incident-runbook" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/deepgram-incident-runbook" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/deepgram-incident-runbook" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/deepgram-incident-runbook" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: deepgram-incident-runbook
description: 'Execute Deepgram incident response procedures for production issues.

  Use when handling Deepgram outages, debugging production failures,

  or responding to service degradation.

  Trigger: "deepgram incident", "deepgram outage", "deepgram production issue",

  "deepgram down", "deepgram emergency", "deepgram 500 errors".

  '
allowed-tools: Read, Write, Edit, Bash(curl:*), Bash(kubectl:*)
version: 1.13.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- deepgram
- debugging
- incident-response
compatibility: Designed for Claude Code

Deepgram Incident Runbook

Prerequisites

  • An incident ID, commander, affected service/environment, escalation route, and authorized redacted diagnostic access.
  • A data/consent owner and documented safe mitigation or rollback action.

Examples

For elevated transcription errors, declare scope, capture aggregate health and redacted correlation IDs, stabilize with the documented circuit-breaker/rollback, and verify recovery against the SLO. Escalate provider or data-impact incidents through the approved path; do not attach customer audio, transcripts, or credentials to the incident channel.

Overview

Standardized incident response for Deepgram-related production issues. Includes automated triage script, severity classification (SEV1-SEV4), immediate mitigation actions, fallback activation, and post-incident review template.

Quick Reference

ResourceURL
Deepgram Statushttps://status.deepgram.com
Deepgram Consolehttps://console.deepgram.com
Support Emailsupport@deepgram.com
Communityhttps://github.com/orgs/deepgram/discussions

Severity Classification

LevelDefinitionResponse TimeExample
SEV1Complete outage, all transcriptions failingImmediate100% 5xx errors
SEV2Major degradation, >50% error rate< 15 minSpecific model failing
SEV3Minor degradation, elevated latency< 1 hourP95 > 30s
SEV4Single feature affected, cosmetic< 24 hoursDiarization inaccurate

Instructions

Step 1: Automated Triage (First 5 Minutes)

#!/bin/bash
set -euo pipefail
echo "=== Deepgram Incident Triage ==="
echo "Timestamp: $(date -u +%Y-%m-%dT%H:%M:%SZ)"
echo ""

# 1. Check Deepgram status page
echo "--- Status Page ---"
STATUS=$(curl -s -o /dev/null -w "%{http_code}" https://status.deepgram.com)
echo "Status page: HTTP $STATUS"

# 2. Test API connectivity
echo ""
echo "--- API Connectivity ---"
curl -s -w "\nHTTP: %{http_code} | Latency: %{time_total}s\n" \
  'https://api.deepgram.com/v1/projects' \
  -H "Authorization: Token $DEEPGRAM_API_KEY" | head -5

# 3. Test transcription
echo ""
echo "--- Transcription Test ---"
RESULT=$(curl -s -w "\n%{http_code}" \
  -X POST 'https://api.deepgram.com/v1/listen?model=nova-3&smart_format=true' \
  -H "Authorization: Token $DEEPGRAM_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url":"https://static.deepgram.com/examples/Bueller-Life-moves-702702706.wav"}')
HTTP_CODE=$(echo "$RESULT" | tail -1)
echo "Transcription: HTTP $HTTP_CODE"

# 4. Test multiple models
echo ""
echo "--- Model Tests ---"
for MODEL in nova-3 nova-2 base; do
  CODE=$(curl -s -o /dev/null -w "%{http_code}" \
    -X POST "https://api.deepgram.com/v1/listen?model=$MODEL" \
    -H "Authorization: Token $DEEPGRAM_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{"url":"https://static.deepgram.com/examples/Bueller-Life-moves-702702706.wav"}')
  echo "$MODEL: HTTP $CODE"
done

# 5. Query internal metrics (if available)
echo ""
echo "--- Internal Metrics ---"
curl -s localhost:3000/health 2>/dev/null || echo "Health endpoint unavailable"

Step 2: SEV1 Response (Complete Outage)

import { createClient } from '@deepgram/sdk';

class DeepgramFallbackService {
  private primaryClient: ReturnType<typeof createClient>;
  private isInFallbackMode = false;
  private failedRequests: Array<{ url: string; options: any; timestamp: Date }> = [];

  constructor(apiKey: string) {
    this.primaryClient = createClient(apiKey);
  }

  async transcribe(url: string, options: any) {
    if (this.isInFallbackMode) {
      return this.handleFallback(url, options);
    }

    try {
      const { result, error } = await this.primaryClient.listen.prerecorded.transcribeUrl(
        { url }, options
      );
      if (error) throw error;
      return { source: 'deepgram', result };
    } catch (err) {
      console.error('Deepgram failed, entering fallback mode');
      this.isInFallbackMode = true;
      return this.handleFallback(url, options);
    }
  }

  private handleFallback(url: string, options: any) {
    // Queue for later replay
    this.failedRequests.push({ url, options, timestamp: new Date() });
    console.warn(`Queued for replay: ${url} (${this.failedRequests.length} in queue)`);

    return {
      source: 'fallback',
      message: 'Transcription queued — Deepgram is currently unavailable',
      queuePosition: this.failedRequests.length,
    };
  }

  // Call when Deepgram recovers
  async replayQueue() {
    console.log(`Replaying ${this.failedRequests.length} queued requests...`);
    const queue = [...this.failedRequests];
    this.failedRequests = [];
    this.isInFallbackMode = false;

    for (const req of queue) {
      try {
        await this.transcribe(req.url, req.options);
        console.log(`Replayed: ${req.url}`);
      } catch (err: any) {
        console.error(`Replay failed: ${req.url} — ${err.message}`);
        this.failedRequests.push(req);
      }
    }
  }
}

Step 3: SEV2 Response (Partial Degradation)

async function mitigateSev2() {
  const client = createClient(process.env.DEEPGRAM_API_KEY!);
  const testUrl = 'https://static.deepgram.com/examples/Bueller-Life-moves-702702706.wav';

  console.log('=== SEV2 Mitigation ===');

  // Test each model to find working ones
  const models = ['nova-3', 'nova-2', 'base', 'whisper-large'] as const;
  const working: string[] = [];
  const broken: string[] = [];

  for (const model of models) {
    try {
      const { error } = await client.listen.prerecorded.transcribeUrl(
        { url: testUrl }, { model }
      );
      if (error) throw error;
      working.push(model);
      console.log(`  [OK] ${model}`);
    } catch {
      broken.push(model);
      console.log(`  [FAIL] ${model}`);
    }
  }

  // Recommended actions
  console.log(`\nWorking models: ${working.join(', ')}`);
  console.log(`Broken models: ${broken.join(', ')}`);

  if (working.length > 0) {
    console.log(`\nAction: Switch to ${working[0]} until ${broken.join(', ')} recovers`);
  } else {
    console.log('\nAction: All models failing — escalate to SEV1');
  }

  // Test features
  const features = [
    { name: 'diarize', opts: { diarize: true } },
    { name: 'smart_format', opts: { smart_format: true } },
    { name: 'utterances', opts: { utterances: true } },
  ];

  console.log('\n--- Feature Tests ---');
  for (const { name, opts } of features) {
    try {
      const { error } = await client.listen.prerecorded.transcribeUrl(
        { url: testUrl }, { model: working[0] ?? 'nova-3', ...opts }
      );
      console.log(`  [${error ? 'FAIL' : 'OK'}] ${name}`);
    } catch {
      console.log(`  [FAIL] ${name}`);
    }
  }
}

Step 4: SEV3/SEV4 Mitigation

// SEV3: Elevated latency — increase timeouts and enable aggressive retry
function configureSev3Mitigation() {
  return {
    timeout: 60000,          // Increase from 30s to 60s
    maxRetries: 5,           // Increase from 3 to 5
    model: 'nova-2',         // Fallback to proven model
    diarize: false,          // Disable to reduce processing
    smart_format: true,      // Keep basic formatting
    utterances: false,       // Disable to reduce processing
    summarize: false,        // Disable
    detect_topics: false,    // Disable
  };
}

// SEV4: Single feature broken — disable and continue
function configureSev4Mitigation(brokenFeature: string) {
  const overrides: Record<string, any> = {};
  overrides[brokenFeature] = false;
  console.log(`Disabled ${brokenFeature} — filing Deepgram support ticket`);
  return overrides;
}

Step 5: Post-Incident Review Template

## Deepgram Incident Report

**Date:** YYYY-MM-DD
**Duration:** HH:MM start — HH:MM end (X minutes total)
**Severity:** SEV1/2/3/4
**On-Call:** [Name]

### Timeline
| Time (UTC) | Event |
|------------|-------|
| HH:MM | Alert fired: [alert name] |
| HH:MM | On-call acknowledged |
| HH:MM | Triage completed, classified as SEV[N] |
| HH:MM | Mitigation applied: [action taken] |
| HH:MM | Service restored |
| HH:MM | All-clear confirmed |

### Impact
- **Failed requests:** N
- **Affected users:** N
- **Revenue impact:** $X
- **SLA impact:** X minutes of downtime

### Root Cause
[Description of root cause — Deepgram outage / configuration issue / etc.]

### What Went Well
- [Item 1]
- [Item 2]

### What Could Be Improved
- [Item 1]
- [Item 2]

### Action Items
| Action | Owner | Due Date |
|--------|-------|----------|
| [Action 1] | [Name] | YYYY-MM-DD |
| [Action 2] | [Name] | YYYY-MM-DD |

Step 6: Escalation Matrix

LevelContactWhen
L1On-call engineerAlert fires
L2Team lead15 min without resolution
L3Deepgram support (support@deepgram.com)Confirmed Deepgram-side issue
L4Engineering directorSEV1 > 1 hour

Output

  • Automated triage script (bash, runs in <30s)
  • SEV1 fallback service with request queue and replay
  • SEV2 model/feature diagnosis and auto-fallback
  • SEV3/SEV4 mitigation configurations
  • Post-incident review template

Error Handling

IssueCauseSolution
Triage script can't reach DeepgramNetwork or DNSCheck outbound HTTPS to api.deepgram.com
Fallback queue growingExtended outageAlert if queue > 1000, consider alternate STT
Replay failuresAudio URLs expiredRe-fetch audio from source before replay
Status page shows green but API failsPartial outage not yet reflectedReport to Deepgram support immediately

Resources

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