firetiger

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

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.

Firetiger 是一款AI驱动的可观测性平台。遥测数据（traces、logs、metrics）会存储到Apache Iceberg表中，你可以用SQL查询这些数据，同时自主Agent会监控你的服务、排查问题并追踪部署情况。

本技能是一个路由工具。识别用户需求后调用对应的专业技能——每个专业技能都是独立封装的，且包含对应任务的关键注意事项。

How you talk to Firetiger

如何与Firetiger交互

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 are
```
FT-{n}
```
call signs),
```
monitoring-plans
```
(deploy monitoring, read/delete), and
```
connections
```
(integrations). Always
```
schema
```
a collection before
```
create
```
/
```
update
```
. Some tools and collections are gated by deployment config and API-key policy.
The
@firetiger
GitHub flow — comment
```
@firetiger
```
on 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.

本技能全程涉及两种交互机制：

Firetiger MCP服务器 —
```
https://api.cloud.firetiger.com/mcp/v1
```
（采用OAuth 2.0 Bearer认证；首次调用工具时会打开浏览器登录）。可用工具包括：
```
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
```
（计费相关）、
```
onboard_github
```
/
```
onboard_slack
```
/
```
onboard_linear
```
（OAuth连接），以及通用CRUD操作（
```
schema
```
/
```
list
```
/
```
get
```
/
```
create
```
/
```
update
```
/
```
delete
```
）。客户端Agent可操作的集合包括：
```
agents
```
+
```
sessions
```
（创建/运行Agent）、
```
triggers
```
+
```
scheduled-agent-runs
```
（自动化执行）、
```
investigations
```
（AI诊断会话）、
```
issues
```
（已知问题，ID格式为
```
FT-{n}
```
）、
```
monitoring-plans
```
（部署监控，支持读取/删除）和
```
connections
```
（集成）。执行
```
create
```
/
```
update
```
操作前，务必先对集合执行
```
schema
```
操作。部分工具和集合受部署配置及API密钥策略限制。
@firetiger
GitHub流程 — 在Pull Request中评论
```
@firetiger
```
，即可让Firetiger监控该PR对应的部署。

关键注意事项： 如果无法使用MCP工具，说明用户尚未连接Firetiger MCP服务器。目标技能会处理此情况——告知用户连接

https://api.cloud.firetiger.com/mcp/v1

并登录，然后重试。

Routing

路由规则

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"

用户需求	技能	触发语
端到端完成项目接入（检测技术栈 → 埋点 → 连接 → Agent配置）	`firetiger-setup`	"set up Firetiger"、"onboard this project"、"connect my app"
添加OpenTelemetry埋点（Node/Next.js/Python/Go/Rust）	`firetiger-instrument`	"instrument my app"、"add OpenTelemetry"、"send traces"
用SQL查询链路追踪、日志或指标	`firetiger-query`	"find traces"、"search logs"、"show me errors"、"analyze latency"
排查事件并追踪结果	`firetiger-investigate`	"investigate"、"diagnose"、"what's wrong with"、"troubleshoot"
监控PR/部署	`firetiger-monitor-deploy`	"monitor this PR"、"watch this deploy"、"@firetiger"
创建监控Agent，或配置Agent/触发器	`firetiger-create-agent`	"create an agent"、"monitor X automatically"、"schedule an agent"

Execution

执行流程

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-setup
```
first, then the follow-up.

将用户请求归类到上述表格中的对应行。
使用Skill工具调用对应的专业技能（例如
```
firetiger-query
```
）。
如果请求涉及多个类别（如“搭建Firetiger并监控我的下一个PR”），则按顺序处理——通常先执行
```
firetiger-setup
```
，再处理后续需求。

firetiger

Original

Translation

Firetiger

Firetiger

How you talk to Firetiger

如何与Firetiger交互

Routing

路由规则

Execution

执行流程

Resources

参考资源