OpenTelemetry Pipeline Metrics Spec
comet-ml/opik
Specifies how to instrument an opik-backend pipeline with per-stage OpenTelemetry metrics for throughput, latency, errors and queue delay by workspace.
Diagnoses a Grafana Frontend Observability (RUM) session: whether it is healthy, what went wrong, ranked problems with timestamps and evidence, likely cause, how to fix it.
$ npx skills add grafana/skills --skill frontend-session-rca -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install grafana/skills frontend-session-rca --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/grafana/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/grafana-cloud/frontend-session-rca .claude/skills/frontend-session-rca && rm -rf skills-srcUse ~/.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/
Install the "frontend-session-rca" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/frontend-session-rca into .claude/skills/frontend-session-rca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-session-rca", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/grafana/skills/tree/main/skills/grafana-cloud/frontend-session-rcaType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add grafana/skills --skill frontend-session-rca -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install grafana/skills frontend-session-rca --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/grafana/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/grafana-cloud/frontend-session-rca .agents/skills/frontend-session-rca && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "frontend-session-rca" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/frontend-session-rca into .agents/skills/frontend-session-rca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-session-rca", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add grafana/skills --skill frontend-session-rca -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install grafana/skills frontend-session-rca --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/grafana/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/grafana-cloud/frontend-session-rca .cursor/skills/frontend-session-rca && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "frontend-session-rca" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/frontend-session-rca into .cursor/skills/frontend-session-rca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-session-rca", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/grafana/skills.git --path skills/grafana-cloud/frontend-session-rca--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add grafana/skills --skill frontend-session-rca -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install grafana/skills frontend-session-rca --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/grafana/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/grafana-cloud/frontend-session-rca .gemini/skills/frontend-session-rca && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "frontend-session-rca" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/frontend-session-rca into .gemini/skills/frontend-session-rca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-session-rca", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install grafana/skills frontend-session-rcaInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add grafana/skills --skill frontend-session-rca -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/grafana/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/grafana-cloud/frontend-session-rca .github/skills/frontend-session-rca && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "frontend-session-rca" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/frontend-session-rca into .github/skills/frontend-session-rca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-session-rca", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add grafana/skills --skill frontend-session-rca -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install grafana/skills frontend-session-rca --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/grafana/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/grafana-cloud/frontend-session-rca .opencode/skills/frontend-session-rca && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "frontend-session-rca" agent skill from https://github.com/grafana/skills/tree/main/skills/grafana-cloud/frontend-session-rca into .opencode/skills/frontend-session-rca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-session-rca", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
frontend-session-rcaDiagnoses a Grafana Frontend Observability (RUM) session: whether it is healthy, what went wrong, ranked problems with timestamps and evidence, likely cause, how to fix it.
Frontend Session Rca is an agent skill from grafana/skills, published by the product's own GitHub organization. Diagnoses a Grafana Frontend Observability (RUM) session: whether it is healthy, what went wrong, ranked problems with timestamps and evidence, likely cause, how to fix it. Optional follow-up: zoom in on the top error, impact across sessions, Session Replay, or a Tempo trace if the user asks. Fetches telemetry with gcx frontend sessions get --save and reads only that dump file. Use when the user asks to explain, diagnose, analyse, RCA, or review a session; asks if a session is healthy; pastes Frontend…
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/dump-format.md`, `references/grafana-links.md` and `references/signal-catalog.md`).
It sits in DevOps & Cloud, covering Observability, Monitoring and alerting and Cross-platform mobile apps. It works with Grafana, OpenTelemetry, Flutter and React Native. The licence is Apache-2.0.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 1ccacf2. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
brewFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Frontend Session Rca loads about 2.3k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 230 tokens; SKILL.md has 966 words of instructions outside code blocks.
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.
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.
The full file from grafana/skills at commit 1ccacf2, republished under its Apache-2.0 licence (© grafana). 966 words, ~2,346 tokens.
.claude/skills/frontend-session-rca/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Diagnose one real-user session from a gcx dump. First answer is dump-only. Do not invent LogQL, SQL, or Explore URLs. Do not instrument SDKs here.
Required — do not fetch until all three are present:
<app_id><session_id>-d): <datasource_uid> — Grafana datasource UID, not loki or pinotOptional:
<grafana_url><from><to>Take them from the prompt, pasted Frontend Observability session context, or filled placeholders above. If a required value is still a <…> token or missing, ask the user and stop. Do not guess ids. Do not pick a datasource for them (you may mention gcx datasources list so they can choose a Loki or Pinot UID). In that same ask, say the time-range default below so they can override it in one reply.
Optional also: --app-type web|mobile.
Time range is not required. If the user did not give --from/--to or --since, tell them:
We will run the query for 1d for Loki and 7d for Pinot. If you want a different time range, please provide it.
Do not call gcx yet. Infer Loki vs Pinot and choose --since in step 2, after gcx is installed and logged in. If they already gave a window, use that (--since is mutually exclusive with --from).
command -v gcx && gcx frontend sessions get -h| Result | Action |
|---|---|
gcx missing | Tell the user to install from https://github.com/grafana/gcx (brew install gcx or the curl installer on that README). Do not invent tokens. |
gcx present, sessions get unknown | Installed gcx is too old. Tell the user to upgrade gcx, then retry. |
| Command exists | Continue. |
Unauthenticated:
gcx login --server <grafana_url>Grafana base URL (for deep links), if the user did not paste one:
gcx config view -o jsonUse the current stack grafana.server. Do not print tokens.
Then infer Loki vs Pinot from the UID (gcx datasources get <datasource_uid>). Use the Type field as a kind: loki (or Type contains loki) → --since 1d (session Loki queries time out at 60s). pinot (or Type contains pinot) → --since 7d. Do not require a specific plugin id. If they already gave --from/--to or --since, keep that window.
Always --save so stdout is a small artifact receipt (path only), not the dump.
gcx frontend sessions get <session_id> \
--app <app_id> \
-d <datasource_uid> \
--since <since> \
--save /tmp/session-<session_id>.txt-d/--datasource is required (Grafana datasource UID). Do not pass loki or pinot as the value. gcx infers the type from the datasource.--from/--to or --since when they gave one. Otherwise --since 1d (Loki) or --since 7d (Pinot) after telling them the default (see steps 1–2). --since is mutually exclusive with --from.--app-type unless the user set it; gcx infers web vs mobile from the dump.--save. If stdout is JSON gcx.artifact_receipt, read files[0].path. If stdout is Wrote <path>, read that path.Never paste the dump into the user-visible reply.
=== session metadata === then === events ===. See dump-format.md.Empty or failed fetch: say so. Suggest widening --since / --from/--to, checking --app and --datasource, and confirming the user can see the session in Frontend Observability. Stop.
Specific question (one error, one page, one trace, “why is LCP poor”, “why was cold start slow”, “other sessions with this error”): answer that. Skip the full template. Dump-only unless they asked for impact or a trace — then a scoped gcx logs query / gcx datasources pinot query / gcx traces get is allowed (see Grounding rules).
Vague “diagnose / explain this session”: use the template below.
## Session overview
- App, session id, web or mobile, duration (`session_start` → last event as `session_end` only if `session_start` is in this dump; if that event is missing, say so — do not use the first row as start. `session_end` is not a Faro event)
- Environment: browser/OS or device/SDK, geo, app version, user id/username if present (avoid email/PII unless the user explicitly asks)
- Outcome: **healthy** | **degraded** | **error** | **unknown**
## What the user did
3–6 sentences of the journey in time order, oldest first (navigation, views, actions). No raw dump.
## Session health
One paragraph: healthy or not, and why (exceptions, failed HTTP, poor web vitals or mobile startup/jank, ANR, rage clicks).
## Problems found
Ranked list. Each item:
- Severity: critical / warning / info
- Timestamp (from the dump)
- What happened (exception type/message, HTTP status+URL, web vital or mobile cold/warm start / jank, …)
- Lead-up: the 1–3 events immediately before it
- `traceID` if that row has one (the id only — not a Tempo URL)
- Session Replay at this timestamp — only web + `session_replay_start`; convert both times to ms, then `?t=` ([grafana-links.md](references/grafana-links.md)). Omit on mobile, if there is no recording, or if `t < 0`.
## Likely cause
One or two sentences citing dump evidence. If several independent issues, say so — do not force a single root cause.
## How to fix it
Concrete next engineering steps (code, config, backend, or telemetry gaps). See [signal-catalog.md](references/signal-catalog.md).
## Follow-up
- <1–3 short questions named from this dump>Fill Follow-up from this list, in order, omitting any line the dump cannot support (max 3). Write them as questions, with the concrete error / hash / page / traceID:
hash (or type+template), and which app_versions? Say this needs a second query. Skip if there is no stable hash/type (one-off status=0, vital without page_id).traceID? Only if that problem has one.Do not offer “open this session in Frontend Observability” or “watch replay” (replay seek is on the problem row when a recording exists). Do not put Tempo on every problem. Do not guess impact counts from this dump.
--app), and a time window. Loki UID → gcx logs query -d <datasource_uid> '<logql>'. Pinot UID → gcx datasources pinot query -d <datasource_uid> '<sql>'. Those commands have no --app flag. Do not invent Explore URLs. Do not state other-session counts until that query returns.gcx traces get -d <tempo_uid> <trace_id> for that dump traceID only — not a new session-wide query. -d is required unless datasources.tempo is already in the gcx context. Tempo Explore URL only if the Tempo datasource UID is known; never guess UID or pane JSON.rating on web vitals over recomputing thresholds. On mobile, use startup/jank fields as present.faro.session_recording.started / session_replay_start is in the dump.gcx frontend sessions get as something the Grafana UI runs. It is a gcx CLI command.?t= on problems, Tempo on trace follow-up© grafana, 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
SKILL.md and 3 other files (references) in skills/grafana-cloud/frontend-session-rca of grafana/skills.
Open the folder on GitHubat commit 1ccacf2
Frontend Session Rca 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Frontend Session Rca this skillgrafana/skills | 281 | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| OpenTelemetry Pipeline Metrics Speccomet-ml/opik | 22k | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| Archestra Dev Observabilityarchestra-ai/archestra | 4.4k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Frontmcp Observabilityagentfront/frontmcp | 146 | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Monitoring Observabilityahmedasmar/devops-claude-skills | 203 | — | ~3.9k | Automated safety check: Pass | None | |
| Monitoring ExpertJeffallan/claude-skills | 12k | — | ~1.6k | Automated safety check: Pass | MIT |
comet-ml/opik
Specifies how to instrument an opik-backend pipeline with per-stage OpenTelemetry metrics for throughput, latency, errors and queue delay by workspace.
archestra-ai/archestra
A skill your agent uses when changing Archestra tracing, metrics, OpenTelemetry, Tempo, Grafana, Prometheus, LLM/MCP spans, observability labels, or local observability setup.
agentfront/frontmcp
A skill your agent uses when adding tracing, structured logging, metrics, or monitoring to a FrontMCP server.
ahmedasmar/devops-claude-skills
Monitoring and observability strategy, implementation, and troubleshooting.
Jeffallan/claude-skills
Sets up application monitoring: structured logs, Prometheus metrics, OpenTelemetry tracing, Grafana dashboards, alert rules and load tests with k6 or Artillery.
context-labs/whip
Go observability — always-on production signals: slog logging, Prometheus metrics, OpenTelemetry tracing, pprof profiling, alerting, Grafana.
grafana/skills
Write or review k6 documentation across the three k6 repositories - k6-DefinitelyTyped (TypeScript types), k6-docs (user documentation), and k6 (release notes / changelog).
grafana/skills
Configure Grafana Alerting, Incident Response Management (IRM), and SLOs end-to-end — provisions Grafana-managed and data-source-managed alert rules, contact points (Slack/PagerDuty/email/webhook)…
grafana/skills
Build, modify, and ship Grafana dashboards as JSON via the HTTP API — panel types (timeseries / stat / gauge / table / heatmap / logs / traces / node-graph), gridPos 24-column layout, units…
grafana/skills
A skill your agent uses when the user wants to performance-test, load-test, or stress-test a public website end-to-end with k6.
grafana/skills
Write, validate, and optimize PromQL for Prometheus / Grafana Mimir / Grafana Cloud Metrics.
grafana/skills
Cut Grafana Cloud Metrics cost by shrinking active-series count with Adaptive Metrics aggregation rules — auto-recommendations from query history, custom exact/regex rules, label-drop config…
Works with
Categories
Diagnoses a Grafana Frontend Observability (RUM) session: whether it is healthy, what went wrong, ranked problems with timestamps and evidence, likely cause, how to fix it. Frontend Session Rca is an agent skill from grafana/skills, published by the product's own GitHub organization. Diagnoses a Grafana Frontend Observability (RUM) session: whether it is healthy, what went wrong, ranked problems with timestamps and evidence, likely cause, how to fix it.
Frontend Session Rca fits situations like: the user asks to explain; review a session; asks if a session is healthy; pastes Frontend Observability session context (app id.
Run `npx skills add grafana/skills --skill frontend-session-rca -a claude-code`. Or copy the skill folder (skills/grafana-cloud/frontend-session-rca in grafana/skills) into .claude/skills/frontend-session-rca in your project. Claude Code loads it when a task matches its description.
Run `npx skills add grafana/skills --skill frontend-session-rca -a codex`. Or copy the skill folder (skills/grafana-cloud/frontend-session-rca in grafana/skills) into .agents/skills/frontend-session-rca in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add grafana/skills --skill frontend-session-rca -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/frontend-session-rca, .gemini/skills/frontend-session-rca, .github/skills/frontend-session-rca and .opencode/skills/frontend-session-rca in your project.
Going by SKILL.md and its folder, Frontend Session Rca needs the command-line tools its instructions call (brew).
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
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.
Frontend Session Rca is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Frontend Session Rca: OpenTelemetry Pipeline Metrics Spec (comet-ml/opik, 22k stars), Archestra Dev Observability (archestra-ai/archestra, 4.4k stars), Frontmcp Observability (agentfront/frontmcp, 146 stars) and Monitoring Observability (ahmedasmar/devops-claude-skills, 203 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
grafana (a GitHub organization, an official publisher) maintains it in grafana/skills, which has 281 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on October 8, 2026.
Source: grafana/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.