Agent skill

Otel Collector

by ollygarden in ollygarden/opentelemetry-agent-skills

OpenTelemetry Collector component configuration. An agent skill from ollygarden/opentelemetry-agent-skills.

Apache-2.0Auto-check passedDevOps & Cloud

Install Otel Collector

skills CLI
$ npx skills add ollygarden/opentelemetry-agent-skills --skill otel-collector -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ollygarden/opentelemetry-agent-skills otel-collector --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ollygarden/opentelemetry-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/otel-collector .claude/skills/otel-collector && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
otel-collector
GitHub stars
106
Token cost
~4.4k tokens
SKILL.md length
1,873 words
Files
132
Skills in repo
19
Repo updated
First seen
Licence
Apache-2.0

At a glance

OpenTelemetry Collector component configuration. An agent skill from ollygarden/opentelemetry-agent-skills.

  • Works in 5 steps: Identify the component. Find the type in… → Load the component page before… → If the component is not indexed, say so… → …
  • Debugging Collector YAML for a specific receiver
  • SKILL.md covers Workflow, Component index, Collector-wide conventions and Adding a new component to this…
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Otel Collector is an agent skill from ollygarden/opentelemetry-agent-skills. OpenTelemetry Collector component configuration. Use when authoring, reviewing, or debugging Collector YAML for a specific receiver, processor, exporter, connector, or extension — config keys, defaults, validation rules, signal support, stability levels, and component-level gotchas. Triggers on Collector component questions including receivers, processors, exporters, connectors, extensions, component renames, signal support, and pipeline wiring.

Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 135 other files (for example `components/attributes/README.md`, `components/attributes/advanced.md` and `components/attributes/configuration.md`).

It sits in DevOps & Cloud, covering Observability. It works with OpenTelemetry. The repository describes itself as: Vendor-neutral OpenTelemetry skills for AI coding agents like Claude Code, Cursor, and Codex, grounded in upstream sources. The licence is Apache-2.0.

When your agent uses it

  • Debugging Collector YAML for a specific receiver
  • Extension — config keys
  • Validation rules
  • Stability levels

Example prompts

  • “/otel-collector”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Identify the component. Find the type in the user's config or question (log_dedup, interval, otlp, …). Note that many components have been…
  2. Load the component page before answering. If the component is in the Component index, always read components//README.md first — the…
  3. If the component is not indexed, say so explicitly and fall back to the upstream README under processor//, receiver//, exporter//…
  4. Apply Collector-wide conventions. Named instances (type/name), stability levels, and pipeline placement rules in Collector-wide…
  5. Verify. Run the component page's Verification recipe — telemetrygen (see the otel-telemetrygen skill) plus a debug or file exporter — to…

What it can do on your machine

Read from SKILL.md and the folder at commit 12296db. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Otel Collector loads about 4.4k tokens when it runs. Until then it costs about 116 tokens; SKILL.md has 1,873 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~116
When it runs · the whole SKILL.md, loaded when a task matches
~4.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ollygarden/opentelemetry-agent-skills at commit 12296db, republished under its Apache-2.0 licence (© ollygarden). 1,873 words, ~4,352 tokens.

Download SKILL.mdSave it as .claude/skills/otel-collector/SKILL.md (or your agent's skills folder). This skill also uses 131 other files; get the full folder from GitHub.
name
otel-collector
description
OpenTelemetry Collector component configuration. Use when authoring, reviewing, or debugging Collector YAML for a specific receiver, processor, exporter, connector, or extension — config keys, defaults, validation rules, signal support, stability levels, and component-level gotchas. Triggers on Collector component questions including receivers, processors, exporters, connectors, extensions, component renames, signal support, and pipeline wiring.

OpenTelemetry Collector

This skill covers the configuration surface of individual OpenTelemetry Collector components. It targets opentelemetry-collector and opentelemetry-collector-contrib.

It does not cover OTTL expressions (see otel-ottl), declarative SDK configuration (otel-declarative-config), or end-to-end pipeline design choices. Reach for those skills when the question is about transformation language, SDK setup, or pipeline composition.

Workflow

  1. Identify the component. Find the type in the user's config or question (log_dedup, interval, otlp, …). Note that many components have been renamed to snake_case since v0.146.0 with deprecated aliases preserved — see Recent renames.
  2. Load the component page before answering. If the component is in the Component index, always read components/<type>/README.md first — the top-level index is only a routing aid, not enough evidence for an answer. Follow its Details index to the smallest relevant file: read configuration.md for versioned keys, defaults, or validation; quirks.md for stability, availability, failure behavior, or migration traps; and the other detail files only as the question requires. Do not infer exact configuration or status from the summary row or memory.
  3. If the component is not indexed, say so explicitly and fall back to the upstream README under processor/<name>/, receiver/<name>/, exporter/<name>/, connector/<name>/, or extension/<name>/ in opentelemetry-collector-contrib. Don't invent config keys from memory — Collector components evolve quickly.
  4. Apply Collector-wide conventions. Named instances (type/name), stability levels, and pipeline placement rules in Collector-wide conventions apply to every component.
  5. Verify. Run the component page's Verification recipe — telemetrygen (see the otel-telemetrygen skill) plus a debug or file exporter — to confirm the component behaves as the docs claim. Alpha- and Development-stability components are common here, and behavior changes between releases. See Verification harness for how to run a recipe end-to-end.

Component index

Each component is a directory under components/<type>/. The File column points at the lean README.md (metadata, description, main use-cases, and a Details index); the full config reference, verification recipe, advanced use-cases, and quirks live in on-demand detail files linked from that README.

Coverage is intentionally selective. If a component is not indexed here, fall back to the upstream component README for the user's Collector version.

TypeFileKindSignalsStabilitySummary
log_dedupcomponents/log_dedup/README.mdprocessorlogsAlphaDeduplicates identical log records over a time window; emits one aggregated log with a count. Renamed from logdedup in v0.151.0; alias preserved.
intervalcomponents/interval/README.mdprocessormetricsAlphaBuffers metrics and emits one point per series per interval: latest value for cumulative monotonic series, gauges, and summaries; the summed value for delta series. Non-monotonic sums pass through unchanged.
tail_samplingcomponents/tail_sampling/README.mdprocessortracesBetaBuffers whole traces and makes a single keep/drop decision after a wait window via policies. Supports in-process concurrency through num_shards; scaling across Collector instances still requires a load_balancing layer. v0.160 adds tracestate-aware thresholds for rate/bytes limiting.
draincomponents/drain/README.mdprocessorlogsAlphaClusters log bodies and annotates each record with a template. v0.158 replaced extract_parameters / params_attribute with masking_rules + parameter_key_prefix for named values and emit_wildcards + wildcards_attribute for remaining <*> positions.
redactioncomponents/redaction/README.mdprocessortraces, logs, metricsBeta (traces), Alpha (logs/metrics)Allow/block-list masking or removal of sensitive attribute keys and values, with hashing and URL/DB sanitizers.
filtercomponents/filter/README.mdprocessortraces, metrics, logs, profilesAlpha (traces/metrics/logs), Development (profiles)Drops spans, metric data points, log records, and profiles that match OTTL conditions (or legacy metric-name / severity filters). The most direct telemetry-volume lever.
transformcomponents/transform/README.mdprocessortraces, metrics, logs, profilesBeta (traces/metrics/logs), Development (profiles)Applies OTTL statements to mutate spans, metric data points, log records, and profiles in place (rename/redact/convert/aggregate attributes). The OTTL language itself lives in the otel-ottl skill.
probabilistic_samplercomponents/probabilistic_sampler/README.mdprocessortraces, logsBeta (traces), Alpha (logs)Head sampling — deterministically keeps a configured percentage of traces/logs by hashing the trace ID (or an attribute). The cheaper, stateless counterpart to tail_sampling.
attributescomponents/attributes/README.mdprocessortraces, metrics, logsBetaModifies span/log/datapoint attributes via an ordered action list (insert/update/upsert/delete/hash/extract/convert), scoped by include/exclude matching.
resourcecomponents/resource/README.mdprocessortraces, metrics, logs, profilesBeta (traces/metrics/logs), Development (profiles)Modifies the resource attributes of telemetry via the same action grammar as attributes (e.g. set service.name, drop noisy resource keys). No include/exclude matching.
k8s_attributescomponents/k8s_attributes/README.mdprocessortraces, metrics, logs, profilesStable (traces/metrics/logs, since v0.161), Development (profiles)Enriches telemetry with Kubernetes pod/namespace/node/workload metadata, associating each record to a pod by IP or resource attribute. v0.161 enables the v1 semconv gates by default (singular k8s.pod.label.*, container.image.tags).
routingcomponents/routing/README.mdconnectortraces, metrics, logsAlphaRoutes same-signal telemetry to different pipelines by OTTL condition/statement per context; ordered table, first match wins, default_pipelines fallback. Replaces the deprecated routingprocessor.
memory_limitercomponents/memory_limiter/README.mdprocessortraces, metrics, logs, profilesBeta (traces/metrics/logs), Alpha (profiles)Safety valve against OOM: refuses data with backpressure when Go heap exceeds a soft/hard limit. Its receiver-middleware extension reached Beta in v0.158 but is absent from stock distributions; the bundled processor remains the standard form.
load_balancingcomponents/load_balancing/README.mdexportertraces, logs, metricsBeta (traces/logs), Alpha (metrics)Distributes telemetry across downstream Collectors via a consistent-hash ring keyed on trace ID / service.name / (v0.162+) OTel randomness, etc., pinning related records to one backend. The standard way to scale tail_sampling/span_metrics. Renamed from loadbalancing in v0.153.0; alias preserved.
otlp (receiver)components/otlp/README.mdreceivertraces, metrics, logs, profilesStable (traces/metrics/logs), Alpha (profiles)The canonical OTLP ingress over gRPC (4317) and/or HTTP (4318, protobuf + JSON). protocols: block, at least one required. Default endpoint is localhost, not 0.0.0.0 — must be set explicitly to receive containerized traffic.
otlp_grpc (exporter)components/otlp_exporter/README.mdexportertraces, metrics, logs, profilesStable (traces/metrics/logs), Alpha (profiles)Sends OTLP over gRPC to a downstream endpoint; gzip, sending queue, and retry are enabled by default. Exporter-side sending_queue.batch is opt-in unless the pkg.exporterhelper.queueBatchEnabled gate is enabled. Renamed from otlp in core v1.50.0; alias preserved.
file_log (receiver)components/file_log/README.mdreceiverlogsBetaTails log files (glob include), turns each line/entry into a log record, and parses it via a stanza operators pipeline. Fingerprint + offset tracking across rotation; storage for durable offsets. v0.160 adds opt-in skip_unmodified_files.
resource_detectioncomponents/resource_detection/README.mdprocessortraces, metrics, logs, profilesBeta (traces/metrics/logs), Development (profiles)Auto-detects resource attributes via an ordered detectors list with global retry settings. Includes Azure Container Apps, Azure App Service (v0.160+), and Azure Functions (v0.162+) detectors. Renamed from resourcedetection in v0.153.0; alias preserved.
file_storagecomponents/file_storage/README.mdextension— (not pipeline-scoped)BetaPersists component state to local disk (bbolt) so it survives a Collector restart: receiver read offsets (storage:), exporter persistent send queues (sending_queue.storage:), and stateful-processor decision caches. One bbolt file per consumer; directory must exist unless create_directory: true. Not placed in a pipeline — listed under service.extensions: and referenced by other components.
prometheus (receiver)components/prometheus/README.mdreceivermetricsBetaScrapes Prometheus-format HTTP endpoints and converts them to OTLP metrics, embedding prometheus/prometheus's scrape manager — the config: block is the same YAML as prometheus.yml (global, scrape_configs, scrape_config_files, service discovery, relabeling). Extra keys: trim_metric_suffixes, target_allocator (sharded targets from the OTel Operator), api_server (debug API). Scrape-only: rejects remote_write/remote_read/rule_files/alerting. Stateful, does not auto-shard across replicas.
prometheus (exporter)components/prometheus_exporter/README.mdexportermetricsBetaExposes pipeline metrics for Prometheus to scrape. In-memory accumulator expires stale series after 5m. v0.160 adds resource_constant_labels and deprecates resource_to_telemetry_conversion; add_metric_suffixes remains deprecated in favor of translation_strategy.
prometheus_remote_write (exporter)components/prometheus_remote_write/README.mdexportermetricsBetaPushes OTLP metrics as Prometheus Remote Write. Nests HTTP client settings under http; uses remote_write_queue (not sending_queue). v0.160 adds resource_constant_labels and deprecates resource_to_telemetry_conversion; RW2 remains gated and in development.
Show full SKILL.md (693 more words)Show less

Collector-wide conventions

Named instances

Every component type supports the type/name pattern so the same type can be configured more than once. The pipeline references the named form:

yaml
processors:
  log_dedup/health-checks:
    interval: 30s
    conditions:
      - 'log.attributes["log.type"] == "health_check"'
  log_dedup/access-logs:
    interval: 10s

service:
  pipelines:
    logs/health:
      processors: [log_dedup/health-checks]
    logs/access:
      processors: [log_dedup/access-logs]
Stability levels

Components publish a stability level per signal. Treat these as load-bearing when recommending production use:

LevelUse in
DevelopmentTests and prototypes only — breaking changes expected.
AlphaLimited, non-critical workloads — config keys can still change.
BetaProduction viable — breaking changes rare.
StableProduction — backward compatibility guaranteed.

Stability now varies per component — and per signal for multi-signal components (e.g. redaction is Beta for traces but Alpha for logs/metrics). Don't assume a single level for the indexed set: check each component's README header metadata table for the authoritative stability and surface it when the user asks about production readiness.

Recent renames

Many components have been renamed to snake_case since v0.146.0, and renames are still landing (e.g. awss3 → aws_s3 in v0.162.0). The legacy names remain as deprecated aliases — old configs keep working but new configs should use the new names. Check the upstream component README for the exact rename version before flagging a config as broken.

Examples: logdedup → log_dedup, hostmetrics → host_metrics, spanmetrics → span_metrics, servicegraph → service_graph, k8sattributes → k8s_attributes, plus several _log and _check receivers.

Pipeline placement

Two rules of thumb that apply across components:

  • memory_limiter belongs first in any processor list, before anything that allocates buffers (log_dedup, transform, tail_sampling, …).
  • The otlp_grpc exporter's sending queue is enabled by default, but its sending_queue.batch sub-block is opt-in. Enable exporter-side batching explicitly (or with the alpha pkg.exporterhelper.queueBatchEnabled migration gate). The separate batch processor remains Beta and supported; use it when pipeline-level batching is needed and place it after data-dropping processors.
Verification harness

Each component page's Verification section gives a config, a telemetrygen command, and the expected output. To run any of them:

  1. Save the YAML to a file and start a collector that bundles the component — for components in the contrib/k8s distributions, otelcol-contrib --config <file>.yaml; for components not in any distribution, build a custom collector with the OpenTelemetry Collector Builder (OCB) first.
  2. Send telemetry with telemetrygen (see the otel-telemetrygen skill).
  3. Watch the debug exporter's stdout (or the file exporter's output) for the expected result.

The Verification configs are minimal repros: they omit memory_limiter and other production scaffolding on purpose, to isolate the component under test. Don't copy them verbatim into production.

Adding a new component to this skill

When extending coverage:

  1. Create the directory components/<type>/. Files carry no frontmatter — only SKILL.md has frontmatter.
  2. Write a lean README.md — always loaded, kept small:
    • Header metadata table — kind, type name, signals, per-signal stability, distributions, Go module, upstream README link, and a rename note if the component was renamed.
    • Description — what the component does and the mechanism, in 1–2 tight paragraphs (push detailed mechanism/reference into configuration.md).
    • Main use-cases — "Use when" / "Avoid when".
    • Related components — cross-links.
    • Details index — a bullet list where each item links a detail file followed by an em dash and a short description of its contents (e.g. - [Configuration](configuration.md) — config keys, defaults, validation), so the reader loads only what a question needs.
  3. Split the rest into on-demand detail files under the same directory:
    • configuration.md — full config-reference table (key, type, default, validation) plus any mechanism/reference tables.
    • verification.md — a telemetrygen + debug/file exporter recipe that proves the documented behavior; cross-reference the otel-telemetrygen skill. Verify every telemetrygen flag against that skill — never assert a flag that doesn't exist. If telemetrygen can't produce the input the component needs, say so and point to an alternative (OTTL/transform, a custom emitter). Keep the config a minimal repro (see Verification harness).
    • advanced.md — named instances, multi-pipeline setups, combinations, and edge configs.
    • quirks.md — gotchas, stability caveats, memory model, a validation-error→fix table, anti-patterns, and troubleshooting.
    • Split a heavy section into its own file when it's large (e.g. policies.md for a big policy catalog); merge trivial sections into a sibling rather than create a stub. Repoint any in-page anchor links that now cross files.
  4. Use components/log_dedup/ and components/interval/ as reference implementations of this structure.
  5. Add a row to the Component index above (the File column points at components/<type>/README.md).
  6. Update the description trigger phrases in this file's frontmatter if the new component introduces a clearly distinct user-facing keyword.

© ollygarden, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 131 other files in skills/otel-collector of ollygarden/opentelemetry-agent-skills.

  • SKILL.md
  • components/attributes/README.md
  • components/attributes/advanced.md
  • components/attributes/configuration.md
  • components/attributes/quirks.md
  • components/attributes/verification.md
  • components/drain/README.md
  • components/drain/advanced.md
  • components/drain/configuration.md
  • components/drain/quirks.md
  • components/drain/verification.md
  • components/file_log/README.md
  • components/file_log/advanced.md
  • components/file_log/configuration.md
  • components/file_log/operators.md
  • components/file_log/quirks.md
  • components/file_log/verification.md
  • … and 115 more

Open the folder on GitHubat commit 12296db

Compare with similar skills

Otel Collector next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Otel Collector compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Otel Collector this skillollygarden/opentelemetry-agent-skills106—~4.4kAutomated safety check: PassApache-2.0
Motel Debugkitlangton/motel298—~2.2kAutomated safety check: PassMIT
Tempsgotempsh/temps833—~2kAutomated safety check: PassApache-2.0
Axiom Metrics Queryopenclaw/clawhub9.5k—~2.6kAutomated safety check: PassMIT
UModel Root Cause Analysisalibaba/UnifiedModel415—~1.9kAutomated safety check: PassCustom licence
Agent Kill Switchvivekchand/clawmetry426—~1.1kAutomated safety check: PassMIT

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Works with

Categories

Questions about Otel Collector

What does Otel Collector do?

OpenTelemetry Collector component configuration. An agent skill from ollygarden/opentelemetry-agent-skills. Otel Collector is an agent skill from ollygarden/opentelemetry-agent-skills. OpenTelemetry Collector component configuration.

When should I use Otel Collector?

Otel Collector fits situations like: debugging Collector YAML for a specific receiver; extension — config keys; validation rules; stability levels.

How do I install Otel Collector in Claude Code?

Run `npx skills add ollygarden/opentelemetry-agent-skills --skill otel-collector -a claude-code`. Or copy the skill folder (skills/otel-collector in ollygarden/opentelemetry-agent-skills) into .claude/skills/otel-collector in your project. Claude Code loads it when a task matches its description.

How do I install Otel Collector in Codex?

Run `npx skills add ollygarden/opentelemetry-agent-skills --skill otel-collector -a codex`. Or copy the skill folder (skills/otel-collector in ollygarden/opentelemetry-agent-skills) into .agents/skills/otel-collector in your project. Codex loads it when a task matches its description.

Can I use Otel Collector in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ollygarden/opentelemetry-agent-skills --skill otel-collector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/otel-collector, .gemini/skills/otel-collector, .github/skills/otel-collector and .opencode/skills/otel-collector in your project.

What does Otel Collector need to run?

SKILL.md names no scripts, command-line tools or credentials: Otel Collector is instructions for the agent only.

Does Otel Collector access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Otel Collector safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Otel Collector use?

Otel Collector is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Otel Collector use?

About 4.4k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Otel Collector?

Skills that share tags, products or a category with Otel Collector: Motel Debug (kitlangton/motel, 298 stars), Temps (gotempsh/temps, 833 stars), Axiom Metrics Query (openclaw/clawhub, 9.5k stars) and UModel Root Cause Analysis (alibaba/UnifiedModel, 415 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Otel Collector?

ollygarden (a GitHub organization) maintains it in ollygarden/opentelemetry-agent-skills, which has 106 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 10, 2026.

Source: ollygarden/opentelemetry-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.