Skip to content

About

Agent skills that install Autter Runtime (open-source error tracking + usage telemetry) into any codebase, regardless of language.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Repository files navigation

Autter Skills

AI agent skills that connect your codebase to Autter. Give coding agents repository wiki, learnings, and architecture context through MCP, or wire Autter Runtime — open-source error tracking, diagnostic logs, usage telemetry, and LLM tracing — into any codebase, regardless of language or framework.

Drop these into Claude Code, Cursor, Codex, or any editor that supports the Agent Skills standard and start using them immediately.

How to use this

npx skills add Autter-dev/autter-skills --all

Then tell your agent what you want:

  • "Use Autter's memory, wiki, and learnings to understand this repo before coding." — runs autter-repo-context, which reads the signed-in user's memory, the repository's wiki, accepted learnings, and indexed architecture through the authenticated Autter MCP.
  • "use the skills to install Autter Runtime in this project." — runs autter-runtime-setup, which inventories your repo and routes each service to the right style skill automatically — you don't need to pick one yourself.

Want just one skill? npx skills add Autter-dev/autter-skills --skill otel-node-style

What's inside

Skill Covers
autter-repo-context Reads the signed-in user's memory pages, repository wiki Markdown, accepted process learnings and team rules, and indexed code/architecture/run commands through Autter MCP. Uses source commits and freshness metadata to ground coding work in how the user works and how the platform is built.
autter-runtime-setup Start here. Inventories services, checks installed and deployed capabilities, configures the chosen ingestion path, verifies stored traces/errors, metrics, logs/operations and LLM calls where configured, then records supported instrumentation conventions in the repo's existing agent-instruction files. Synthetic tests run only in isolation.
otel-node-style Node.js (Express, Fastify, Koa, NestJS), Next.js and edge runtimes (Workers, Vercel Edge, Deno, Bun), via @autter/runtime-node / @autter/runtime-next / @autter/runtime-edge, including per-request summaries.
otel-browser-style Browser apps — React, Vue, Svelte, Angular, vanilla SPA, static sites — via @autter/runtime-browser, including CSP violations and privacy-conscious recent action context.
otel-python-style FastAPI, Flask, Django, plain WSGI/ASGI, via the standard OpenTelemetry Python SDK.
otel-go-rust-style Go and Rust backends, via each language's official OTel SDK.
otel-generic-style Everything else — Java, .NET, PHP, Ruby, Elixir, Kotlin, … — via standard OTLP/HTTP + OTel env vars.

Repository knowledge through MCP

Connect your agent to https://api.autter.dev/mcp with OAuth and select the organization containing your repository. Repository knowledge reads require mcp:read; they do not require a Runtime ingest key or an SDK install. autter-repo-context uses whoami to match the repository, get_memory for every member's notes in the organization, get_wiki for stored pages, get_learnings for accepted conventions, and get_repo_index for implementation evidence. It checks stored freshness against the current checkout and reports missing sources explicitly.

The get_wiki tool requires a backend deployment that includes it. Refresh the client's MCP tool list after that deployment. If it is unavailable, the skill continues with exposed learnings/index tools and local source code.

Why Runtime works for any language

Autter Runtime's ingester uses two key types and these HTTP endpoints:

Credential Lives in Can
Server key autter_rt_… backend env vars send OTLP traces/metrics/logs, relay browser events
Client key autter_rtc_… frontend bundles (publishable) send browser events only, origin-restricted
Endpoint Format
POST /v1/traces, POST /v1/metrics OTLP/HTTP — protobuf or JSON
POST /v1/logs OTLP/HTTP logs — protobuf or JSON; requires the operation-logging ingester release
POST /v1/browser compact JSON (@autter/runtime-browser payload)
POST /v1/profiles symbolized pprof (server key only)
POST /v1/sourcemaps release-keyed source map JSON (server key only)
POST /v1/platform-events ECS/Kubernetes OOM and restart JSON (server key only)

Any language with an OpenTelemetry SDK can send server telemetry — that's every mainstream language. Only Node.js and the browser get dedicated first-party npm packages (@autter/runtime-node, @autter/runtime-browser, @autter/runtime-next); everything else is a thin style guide over the standard OTel SDK for that language, which otel-generic-style covers even when no dedicated skill exists yet.

Memory pressure uses that same OTLP metric endpoint in every backend language. The Node package exports process metrics automatically; other stacks enable a process meter or add the portable RSS/heap gauges described in Runtime's memory contract. The feature also needs the 1.3.3+ ingester and Autter backend/frontend deployment. Applications must be redeployed after instrumentation changes; OOM/restart correlation requires an ECS/Kubernetes event forwarder.

Getting an ingest key

Create one on your Autter dashboard: Settings → Access Tokens → Runtime ingest keys → Create key. Pick the repository, then choose:

  • Server — secret, for backends and relays. Keep it in env vars, never commit it.
  • Client — publishable, for browser-only apps with no backend. Scoped to the exact origins you register it for.

Set the key in your own environment (shell profile, gitignored .env, or secret manager) as AUTTER_RUNTIME_KEY — don't paste key values into the agent chat. The skills are written to only ever reference the env var by name; the value never needs to reach the agent.

Endpoint regressions

The setup skills cover request histograms, release identity, and trace comparison requirements. Node/Next.js examples use SDK 1.3.2 and opt into bounded slow-request retention. External OTel exporters need explicit-bucket delta histograms. Self-hosted ingesters require 1.3.1 or later.

Enabling detection in the platform does not update customer SDKs. Incident feedback lets a team mark a diagnosis as correct, incorrect, or expected. Fixes remain draft pull requests for human review. Production verification uses existing telemetry; selftests belong only in isolated test environments.

Full docs: github.com/Autter-dev/autter-runtime.

Structured logs and customer operations

The setup skills check installed SDK exports and deployed ingestion before using runtimeLogger, createRuntimeLogger, or withRuntimeOperation. Operation logging requires Node/Next.js SDK and ingester 1.4.0+; an existing latest install or 1.3.x range alone does not establish support. The ingester needs /v1/logs and migration 0011-runtime-logs; the platform backend, fix worker and frontend need the corresponding evidence deployment. Release ingester first, SDKs next, then platform consumers, and redeploy customer applications.

Node/Next.js setup adds stable operation names, nested context, measured steps and explicit business outcomes to selected checkout/job paths. It preserves existing loggers, separates diagnostics from issue capture, and checks flushing and stored evidence. Other backend languages use their OTel logs exporter and logger bridge. Browser/edge capture keeps its own APIs and endpoint.

Read Node operation setup or customer logging docs. Logs improve the evidence available to RCA and eligible draft fixes; they do not prove a diagnosis or a working fix. Delivery is best effort.

Request summaries

Runtime's Requests & logs view shows one summary per HTTP request and per-route counts. It stays empty until the service mounts a request boundary, so the setup skills add one by default for every Node, Next.js and edge HTTP service: autterRequests() for Express, Connect and NestJS; autterFastify for Fastify; withRuntimeRequest() for fetch-style and Next.js route handlers; and withAutter for edge runtimes. Health, readiness and metrics paths are ignored, because summaries are never sampled. This needs SDK 1.5.0+ (runtime-edge 1.0.0+) and ingester 1.5.0+, which the skills check through the public /v1/compat endpoint. Existing error handlers and response formats are left alone unless the user agrees to autterErrorResponse(). See request summaries setup.

License

MIT

Connect existing provider logs

autter-runtime-setup also supports repository-scoped Sentry, PostHog, Grafana/Loki, Datadog and webhook sources. Ask the agent to connect the chosen source in repository Runtime settings and verify stored logs, RCA and eligible draft fixes. Connector-only setup does not require an application SDK or a Runtime ingest key. See external-source guidance.

About

Agent skills that install Autter Runtime (open-source error tracking + usage telemetry) into any codebase, regardless of language.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors