Eas Observe Agent Skill

EAS service (paid). Use for anything related to EAS Observe - adding `expo-observe` to an Expo project (AppMetricsRoot/ObserveRoot HOC, markInteractive, the useObserve hook, the Expo Router / React Navigation integrations for per-route metrics, and user-defined events via `Observe.logEvent`), querying via the EAS CLI (`eas observe:metrics-summary`, `observe:metrics`, `observe:routes`, `observe:events`, `observe:versions`), or interpreting the resulting metrics (cold/warm launch, TTR, TTI, navigation cold/warm TTR, update download, and the TTI frameRate params for triaging slow startups).

8k tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

2356

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/expo/skills --skill eas-observe

What comes with it

30 073 bytes besides the instruction

agents/openai.yaml

references/metrics.md

references/queries.md

references/setup.md

The instruction itself

4 sections, as written by the author

EAS Observe

> EAS service - costs apply. EAS Observe is a paid Expo Application Services product with free-tier limits. Ingesting and querying production metrics counts against your plan's event/usage allowance. Review https://expo.dev/pricing before enabling it in production.

EAS Observe tracks startup, navigation, and custom-event performance from production Expo apps.

> Source of truth: https://docs.expo.dev/eas/observe/ — always consult the canonical docs when API details matter, especially get-started, configuration, integrations, and the metrics reference. EAS Observe is evolving; this skill's references are written to stay accurate but may lag the docs.

Which reference to read

The three reference files in ./references/ cover the three things people typically need this skill for:

Adding EAS Observe to a project → ./references/setup.md. Install, wrap the root layout (AppMetricsRoot on SDK 55, ObserveRoot on SDK 56+), call markInteractive() (global on SDK 55, via the useObserve() hook on SDK 56+), optional per-route navigation metrics through the Expo Router / React Navigation integrations, and user-defined events via Observe.logEvent (SDK 56+).
Querying metrics from the terminal → ./references/queries.md. The five eas observe:* commands — metrics-summary, metrics, routes, events, versions — with flags, table layouts, JSON shapes, and common workflows.
Reading a dashboard or CLI output → ./references/metrics.md. Target thresholds per metric, what the TTI frameRate.* params mean, and diagnostic patterns for telling slow-but-smooth startup apart from main-thread contention or hard blocks.

Quick links to the docs

Get started: https://docs.expo.dev/eas/observe/get-started/
Dashboard guide: https://docs.expo.dev/eas/observe/dashboard/
Metrics reference: https://docs.expo.dev/eas/observe/reference/metrics/
Expo Router integration: https://docs.expo.dev/eas/observe/integrations/expo-router/
React Navigation integration: https://docs.expo.dev/eas/observe/integrations/react-navigation/
User-defined events: https://docs.expo.dev/eas/observe/events/
Configuration: https://docs.expo.dev/eas/observe/configuration/

Submitting Feedback

If you encounter errors, misleading or outdated information in this skill, report it so Expo can improve:

npx --yes submit-expo-feedback@latest --category skills --subject "eas-observe" "<actionable feedback>"

Only submit when you have something specific and actionable to report. Include as much relevant context as possible.

Other skills for the same job

different authors, same section of the catalogue

D3 Viz

by chrisvoncsefalvay

×3

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

16k tokens

Instrument Data To Allotrope

by anthropics

vendor ×2

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.

Quantum mechanics simulations and analysis using QuTiP (Quantum Toolbox in Python). Use when working with quantum systems including: (1) quantum states (kets, bras, density matrices), (2) quantum operators and gates, (3) time evolution and dynamics (Schrödinger, master equations, Monte Carlo), (4) open quantum systems with dissipation, (5) quantum measurements and entanglement, (6) visualization (Bloch sphere, Wigner functions), (7) steady states and correlation functions, or (8) advanced methods (Floquet theory, HEOM, stochastic solvers). Handles both closed and open quantum systems across various domains including quantum optics, quantum computing, and condensed matter physics.

27k tokens

Copilot Usage Metrics

by github

vendor ×1

Retrieve and display GitHub Copilot usage metrics for organizations and enterprises using the GitHub CLI and REST API.

Socratic mentoring for junior developers and AI newcomers. Guides through questions, never answers. Triggers: "help me understand", "explain this code", "I''m stuck", "Im stuck", "I''m confused", "Im confused", "I don''t understand", "I dont understand", "can you teach me", "teach me", "mentor me", "guide me", "what does this error mean", "why doesn''t this work", "why does not this work", "I''m a beginner", "Im a beginner", "I''m learning", "Im learning", "I''m new to this", "Im new to this", "walk me through", "how does this work", "what''s wrong with my code", "what''s wrong", "can you break this down", "ELI5", "step by step", "where do I start", "what am I missing", "newbie here", "junior dev", "first time using", "how do I", "what is", "is this right", "not sure", "need help", "struggling", "show me", "help me debug", "best practice", "too complex", "overwhelmed", "lost", "debug this", "/socratic", "/hint", "/concept", "/pseudocode". Progressive clue systems, teaching techniques, and success metrics.

Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.

High-performance DataFrame library for Python ETL, analytics, and pandas migration. Use for expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.

20k tokens

How to use it

Copy the folder

Take expo/eas-observe from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npx. Without those the skill loads but fails at the first command.