firetiger
Use when the user mentions Firetiger or wants to work with their observability data — setting up Firetiger, instrumenting an app with OpenTelemetry, querying traces/logs/metrics with SQL, investigating an incident, monitoring a PR or deployment, or creating a monitoring agent. Always use this skill when the user says "Firetiger", even for simple asks — it routes to the specialized skill that carries the critical gotchas (Basic-auth ingest, DuckDB SQL over per-service tables, the @firetiger comment flow) that prevent common mistakes.
- Installs
- 679
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/firetiger-oss/cursor-plugin --skill firetiger- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads firetiger automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Firetiger
Firetiger is an AI-powered observability platform. Telemetry (traces, logs, metrics) lands in Apache Iceberg tables you query with SQL, and autonomous agents monitor your services, investigate issues, and watch deployments.
This skill is a router. Identify what the user wants and invoke the matching specialized skill — each one is self-contained and carries the gotchas for its task.
How you talk to Firetiger
Two mechanisms, referenced throughout the skills:
- The Firetiger MCP server —
https://api.cloud.firetiger.com/mcp/v1(OAuth 2.0 bearer; the first tool call opens a browser to sign in). Tools:get_ingest_credentials,get_deploy_credentials,query,monitor_pr,create_agent_with_goal,send_agent_message,read_agent_messages,resolve_url,get_subscription_status/get_checkout_url(billing),onboard_github/onboard_slack/onboard_linear(OAuth connect), and generic CRUD (schema/list/get/create/update/delete). The collections a client agent works with:agents+sessions(create/run agents),triggers+scheduled-agent-runs(automate them),investigations(AI diagnosis sessions),issues(Known Issues, IDs areFT-{n}call signs),monitoring-plans(deploy monitoring, read/delete), andconnections(integrations). Alwaysschemaa collection beforecreate/update. Some tools and collections are gated by deployment config and API-key policy. - The
@firetigerGitHub flow — comment@firetigeron a pull request to have Firetiger monitor the deployment that PR produces.
Key gotcha: if the MCP tools aren't available, the user hasn't connected the Firetiger MCP server yet. The
target skill handles this — it tells the user to connect https://api.cloud.firetiger.com/mcp/v1 and sign in,
then retries.
Routing
| The user wants to… | Skill | Trigger phrases |
|---|---|---|
| Onboard a project end-to-end (detect stack → instrument → connect → agent) | firetiger-setup | "set up Firetiger", "onboard this project", "connect my app" |
| Add OpenTelemetry instrumentation (Node/Next.js/Python/Go/Rust) | firetiger-instrument | "instrument my app", "add OpenTelemetry", "send traces" |
| Query traces, logs, or metrics with SQL | firetiger-query | "find traces", "search logs", "show me errors", "analyze latency" |
| Investigate an incident and track findings | firetiger-investigate | "investigate", "diagnose", "what's wrong with", "troubleshoot" |
| Monitor a PR/deployment | firetiger-monitor-deploy | "monitor this PR", "watch this deploy", "@firetiger" |
| Create a monitoring agent, or configure agents/triggers | firetiger-create-agent | "create an agent", "monitor X automatically", "schedule an agent" |
Execution
- Classify the request into one row above.
- Invoke the corresponding skill with the Skill tool (e.g.
firetiger-query). - If a request spans categories ("set up Firetiger and monitor my next PR"), handle them sequentially —
usually
firetiger-setupfirst, then the follow-up.
Resources
FAQ
What does the firetiger skill do?
Use when the user mentions Firetiger or wants to work with their observability data — setting up Firetiger, instrumenting an app with OpenTelemetry, querying traces/logs/metrics with SQL, investigating an incident, monitoring a PR or deployment, or creating a monitoring agent. Always use this skill when the user says "Firetiger", even for simple asks — it routes to the specialized skill that carries the critical gotchas (Basic-auth ingest, DuckDB SQL over per-service tables, the @firetiger comment flow) that prevent common mistakes.
How do I install firetiger?
Run npx skills add https://github.com/firetiger-oss/cursor-plugin --skill firetiger in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/firetiger/ (personal) or .claude/skills/firetiger/ (project).
Which AI agents can use firetiger?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is firetiger safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains firetiger?
It is published by firetiger-oss in firetiger-oss/cursor-plugin. It has 679 recorded installs.
Popular devops & cloud skills
microsoft-foundry
microsoft/azure-skills
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure
azure-diagnostics
microsoft/azure-skills
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.
azure-prepare
microsoft/azure-skills
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.
azure-ai
microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
azure-deploy
microsoft/azure-skills
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.
azure-validate
microsoft/azure-skills
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.