Agent skill

Seismic Picker Selection

by benchflow-ai in benchflow-ai/skillsbench

This is a summary the advantages and disadvantages of earthquake event detection and phase picking methods, shared by leading seismology researchers at the 2025 Earthquake Catalog Workshop.

Apache-2.0Auto-check passed

Install Seismic Picker Selection

skills CLI
$ npx skills add benchflow-ai/skillsbench --skill seismic-picker-selection -a claude-code

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

GitHub CLI
$ gh skill install benchflow-ai/skillsbench seismic-picker-selection --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/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/seismic-phase-picking/environment/skills/seismic-picker-selection .claude/skills/seismic-picker-selection && 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
seismic-picker-selection
GitHub stars
1.8k
Token cost
~1k tokens
SKILL.md length
475 words
Files
1
Skills in repo
189
Repo updated
First seen
Licence
Apache-2.0

At a glance

This is a summary the advantages and disadvantages of earthquake event detection and phase picking methods, shared by leading seismology researchers at the 2025 Earthquake Catalog Workshop.

  • You have a seismic phase picking task at hand
  • SKILL.md covers Overview: Method Tradeoffs, STA/LTA (Short-Term Average /…, Template Matching and Deep Learning Pickers, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Seismic Picker Selection is an agent skill from benchflow-ai/skillsbench. This is a summary the advantages and disadvantages of earthquake event detection and phase picking methods, shared by leading seismology researchers at the 2025 Earthquake Catalog Workshop. Use it when you have a seismic phase picking task at hand.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is Apache-2.0.

When your agent uses it

  • You have a seismic phase picking task at hand

Example prompts

  • “/seismic-picker-selection”

What it can do on your machine

Read from SKILL.md and the folder at commit 9a1f4dd. 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.

    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):

    • ai4eps.github.io

    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

Seismic Picker Selection loads about 1k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 475 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~1k

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 benchflow-ai/skillsbench at commit 9a1f4dd, republished under its Apache-2.0 licence (© benchflow-ai). 475 words, ~1,028 tokens.

Download SKILL.mdSave it as .claude/skills/seismic-picker-selection/SKILL.md (or your agent's skills folder).
name
seismic-picker-selection
description
This is a summary the advantages and disadvantages of earthquake event detection and phase picking methods, shared by leading seismology researchers at the 2025 Earthquake Catalog Workshop. Use it when you have a seismic phase picking task at hand.

Seismic Event Detection & Phase Picking Method Selection Guide

Overview: Method Tradeoffs

When choosing an event detection and phase picking method, consider these key tradeoffs:

MethodGeneralizabilitySensitivitySpeed, Ease-of-UseFalse Positives
STA/LTAHighLowFast, EasyMany
ManualHighHighSlow, DifficultFew
Deep LearningHighHighFast, EasyMedium
Template MatchingLowHighSlow, DifficultFew
  • Generalizability: Ability to find arbitrary earthquake signals
  • Sensitivity: Ability to find small earthquakes

Key insight: Each method has strengths and weaknesses. Purpose and resources should guide your choice.

STA/LTA (Short-Term Average / Long-Term Average)

Advantages
  • Runs very fast: Automatically operates in real-time
  • Easy to understand & implement: Can optimize for different window lengths and ratios
  • No prior knowledge needed: Does not require information about earthquake sources or waveforms
  • Amplitude-based detector: Reliably detects large earthquake signals
Limitations
  • High rate of false detections during active sequences
  • Automatic picks not as precise
  • Requires manual review and refinement of picks for a quality catalog

Template Matching

Advantages
  • Optimally sensitive detector (more sensitive than deep-learning): Can find smallest earthquakes buried in noise, if similar enough to template waveform
  • Excellent for improving temporal resolution of earthquake sequences
  • False detections are not as concerning when using high detection threshold
Limitations
  • Requires prior knowledge about earthquake sources: Need template waveforms with good picks from a preexisting catalog
  • Does not improve spatial resolution: Unknown earthquake sources that are not similar enough to templates cannot be found
  • Setup effort required: Must extract template waveforms and configure processing
  • Computationally intensive

Deep Learning Pickers

When to Use
  • Adds most value when existing seismic networks are sparse or nonexistent
  • Automatically and rapidly create more complete catalog during active sequences
  • Requires continuous seismic data
  • Best on broadband stations, but also produces usable picks on accelerometers, nodals, and Raspberry Shakes
  • Use case: Temporary deployment of broadband or nodal stations where you want an automatically generated local earthquake catalog
Show full SKILL.md (167 more words)Show less
Advantages
  • No prior knowledge needed about earthquake sources or waveforms
  • Finds lots of small local earthquakes (lower magnitude of completeness, Mc) with fewer false detections than STA/LTA
  • Relatively easy to set up and run: Reasonable runtime with parallel processing. SeisBench provides easy-to-use model APIs and pretrained models.
Limitations
  • Out-of-distribution data issues: For datasets not represented in training data, expect larger automated pick errors (0.1-0.5 s) and missed picks
  • Cannot pick phases completely buried in noise - Not quite as sensitive as template-matching
  • Sometimes misses picks from larger earthquakes that are obvious to humans, for unexplained reason

References

  • This skill is a derivative of Beauce, Eric and Tepp, Gabrielle and Yoon, Clara and Yu, Ellen and Zhu, Weiqiang. Building a High Resolution Earthquake Catalog from Raw Waveforms: A Step-by-Step Guide Seismological Society of America (SSA) Annual Meeting, 2025. https://ai4eps.github.io/Earthquake_Catalog_Workshop/
  • Allen (1978) - STA/LTA method
  • Perol et al. (2018) - Deep learning for seismic detection
  • Huang & Beroza (2015) - Template matching methods
  • Yoon and Shelly (2024), TSR - Deep learning vs template matching comparison

© benchflow-ai, 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

Just SKILL.md in tasks/seismic-phase-picking/environment/skills/seismic-picker-selection of benchflow-ai/skillsbench.

Open the folder on GitHubat commit 9a1f4dd

Compare with similar skills

Seismic Picker Selection 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.

Seismic Picker Selection compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Seismic Picker Selection this skillbenchflow-ai/skillsbench1.8k—~1kAutomated safety check: PassApache-2.0
NotebookLM Research AssistantPleasePrompto/notebooklm-skill7.8k14 repos~2.4kAutomated safety check: NotesMIT
Hypothesis Generationspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: NotesMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Agent ReachPanniantong/Agent-Reach94k—~1.4kAutomated safety check: PassMIT

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Questions about Seismic Picker Selection

What does Seismic Picker Selection do?

This is a summary the advantages and disadvantages of earthquake event detection and phase picking methods, shared by leading seismology researchers at the 2025 Earthquake Catalog Workshop. Seismic Picker Selection is an agent skill from benchflow-ai/skillsbench. This is a summary the advantages and disadvantages of earthquake event detection and phase picking methods, shared by leading seismology researchers at the 2025 Earthquake Catalog Workshop.

When should I use Seismic Picker Selection?

Seismic Picker Selection fits situations like: you have a seismic phase picking task at hand.

How do I install Seismic Picker Selection in Claude Code?

Run `npx skills add benchflow-ai/skillsbench --skill seismic-picker-selection -a claude-code`. Or copy the skill folder (tasks/seismic-phase-picking/environment/skills/seismic-picker-selection in benchflow-ai/skillsbench) into .claude/skills/seismic-picker-selection in your project. Claude Code loads it when a task matches its description.

How do I install Seismic Picker Selection in Codex?

Run `npx skills add benchflow-ai/skillsbench --skill seismic-picker-selection -a codex`. Or copy the skill folder (tasks/seismic-phase-picking/environment/skills/seismic-picker-selection in benchflow-ai/skillsbench) into .agents/skills/seismic-picker-selection in your project. Codex loads it when a task matches its description.

Can I use Seismic Picker Selection 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 benchflow-ai/skillsbench --skill seismic-picker-selection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seismic-picker-selection, .gemini/skills/seismic-picker-selection, .github/skills/seismic-picker-selection and .opencode/skills/seismic-picker-selection in your project.

What does Seismic Picker Selection need to run?

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

Does Seismic Picker Selection access the network?

SKILL.md names 1 domain. As links in the text: ai4eps.github.io. This is read from the text; nothing was executed.

Is Seismic Picker Selection 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 Seismic Picker Selection use?

Seismic Picker Selection 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 Seismic Picker Selection use?

About 1k tokens (SKILL.md is roughly 4.1k 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 Seismic Picker Selection?

Skills that share tags, products or a category with Seismic Picker Selection: NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars), Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars) and Nature Paper Card (Yuan1z0825/nature-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Seismic Picker Selection?

benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,834 GitHub stars. The repository holds 189 skills in this directory. The repository was last updated on July 23, 2026.

Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.