astro-observation-report
Skill for writing gravitational-wave observational results papers for compact binary coalescence events (BNS, BBH, NSBH) detected by LIGO, Virgo, or KAGRA.
Skill by serejaris
Chalk Labs
Need help deploying astro-observation-report?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/serejaris-astro-observation-report
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: documents, writing, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/astro-observation-report
What's inside
- Skill name
astro-observation-report- Description
- Skill for writing gravitational-wave observational results papers for compact binary coalescence events (BNS, BBH, NSBH) detected by LIGO, Virgo, or KAGRA. Covers paper architecture, first-page layout, parameter estimation figures, uncertainty notation, credible region plots, statistical conventions, and running headers in Physical Review X two-column journal style.
- License
- MIT
- Instructions
- 121 lines in SKILL.md · view on GitHub
Files (4)
- SKILL.md
- observational_results_patterns.md · references/
- structure_contract.md · references/
- style_contract.md · references/
SKILL.md (first lines)
# Gravitational-Wave Observational Results Writing Guide
A markdown-driven skill encoding document structure, presentation patterns, and
statistical conventions from LIGO/Virgo/KAGRA collaboration SOTA papers.
## Reference Source
- **Reference type**: Uploaded PDF artifact (Physical Review X journal article)
- **Reference artifact type**: PDF (peer-reviewed physics journal)
- **Reference File Type**: PDF
- **Supported outputs**: PDF, DOCX, PPTX
- **Default output**: PDF (academic journal manuscript, two-column layout)
## First-Page Layout (Critical)
The Physical Review X format places ALL of the following on page 1:
1. Journal header line: "PHYSICAL REVIEW X 9, 011001 (2019)" (centered, small caps)
2. Title (bold, centered, ~14pt)
3. Author line: "B. P. Abbott et al." with collaboration in parentheses
4. Received/revised/published dates
5. Abstract (single paragraph, ~200-250 words, full width or two-column)
6. DOI line and Subject Areas
7. Beginning of I. INTRODUCTION (small-caps heading)
**There is NO separate title page or abstract page.** The introduction starts
immediately after the abstract on the same page.
## Core Workflow
1. **Establish paper scope** -- Identify event(s), detector network, analysis epoch.
Determine measurable parameters (masses, spins, tides, location, inclination)
and what is not measurable (postmerger signal).
2. **Structure the manuscript** -- Follow section hierarchy in
`references/structure_contract.md`. Architecture: compact first page with
abstract + intro -> Methods -> Results (by parameter class) -> Postmerger limits
-> Conclusions -> Appendices -> Full author list.
3. **Write the Abstract** -- Single paragraph: detection statement (SNR, detectors,
event name, source type), multimessenger context, key parameter constraints with
numerical values, model comparison, postmerger upper limits.
4. **Write Methods** -- Bayesian framework, data (PSD, calibration), waveform models
(comparison table in Table I), prior choices (high-spin vs low-spin).
5. **Present results by parameter class** -- Canonical order: Localization -> Masses
-> Spins -> Tidal parameters -> Postmerger limits. Each class: physical motivation,
posterior figures, numerical constraints, model comparison.
6. **Create figures and tables** -- Follow taxonomy and caption conventions in
`references/observational_results_patterns.md`. Every results section must have
figures. Tables use booktabs style. See the figure list below.
7. **Write conclusions and back matter** -- Summary, comparison to previous work,
waveform systematics, future outlook. Follow with Acknowledgments, Appendices
(additional model results + injection/recovery), and full author list with
affiliations.
## Required Figures (15+ Total)
Every GW observational results paper must include figures. The reference contains
the following figure types. Even placeholder or simplified versions must be created.
| Fig # | Type | Content |
|-------|------|---------|
| 1 | PSD plot | Detector sensitivity curves (LIGO Hanford, Livingston, Virgo) |
| 2 | Model comparison | Relative amplitude and phase differences between waveform models |
| 3 | Sky map | Localization with 50%/90% credible regions and EM counterpart |
| 4 | 2D posterior | Inclination vs luminosity distance (GW-only and EM-informed) |
| 5 | 2D posterior | Component masses (m1-m2) for high-spin and low-spin priors |
| 6 | 1D PDF | Effective spin parameter for high-spin and low-spin priors |
| 7 | 2D posterior | Effective spin vs mass ratio (degeneracy illustration) |
| 8 | Polar plot + PDF | Spin orientations and precession parameter (high-spin) |
| 9 | Polar plot + PDF | Spin orientations and precession parameter (low-spin) |
| 10 | 2D posterior | Tidal deformability parameters with EOS curves (two panels) |
| 11 | 1D PDF | Combined tidal parameter with EOS predictions (two panels) |
| 12 | 2D posterior | Tidal parameter vs mass ratio (high-spin vs low-spin) |
| 13 | Upper limits | Postmerger strain and radiated energy (two panels) |
| 14-15 | Injection study | Parameter recovery validation plots (Appendix B) |
## Running Headers and Page Numbers
- **Even pages (left header)**: Shortened article title in small caps
(e.g., "PROPERTIES OF THE BINARY NEUTRON STAR MERGER ...")
- **Odd pages (right header)**: Journal citation in small caps
(e.g., "PHYS. REV. X 9, 011001 (2019)")
- **Page numbers**: Bottom center, format "011001-N" where N is sequential
- **Page 1 only**: Has journal header "PHYSICAL REVIEW X 9, 011001 (2019)"
and article ID footer "2160-3308/19/9(1)/011001(32)" + "Published by the
American Physical Society"
## Statistical Conventions
- **Uncertainty notation**: Median with asymmetric credible intervals:
`x^{+upper}_{-lower}` (e.g., `2.73^{+0.04}_{-0.01} M_\odot`).
- **One-sided limits**: `x \in (lower, upper)` for 90% credible intervals bounded by priors.
- **HPD intervals**: Smallest interval containing 90% probability, for asymmetric posteriors.
- **Credible regions**: 50% (inner, dashed) and 90% (outer, solid) contours for 2D posteriors.
- **Bayes factors**: Evidence ratios between competing models.
## Font and Typography
- **Reference fonts**: Times-based serif family (Times-Roman, Times-Italic,
Times-Bold from the journal), with Computer Modern math symbols.
- **Substitute font strategy**: When unavailable, use Times New Roman, TeX Gyre
Termes, or STIX Two Text. For CJK content, use a CJK-capable serif font
(SimSun, Noto Serif CJK) consistently across the entire document.
- **Section headings**: Small caps (e.g., "I. INTRODUCTION"), bold for main sections.
- **Subsection headings**: Bold title case (e.g., "A. Bayesian method").
- **Math typesetting**: Numbered display equations, key equations explicitly shown.
## Key Reference Files
| File | When to Read |
|------|-------------|
| `references/structure_contract.md` | When planning the paper outline and section hierarchy |
| `references/observational_results_patterns.md` | When writing specific sections, figures, tables, captions |
| `references/style_contract.md` | When formatting the final document or resolving layout questions |From serejaris/kimi-skills, MIT.
More from serejaris/kimi-skills
- 0.543score
anki-card-maker
serejaris
Extract key knowledge from study materials (text, Markdown, notes) and generate front-question + back-answer flashcards, producing an Anki-compatible CSV file…
SkillCFreshness: C★ 9Claude Code +9 - 0.538score
adhd-assistant
thinktankmachine
ADHD-friendly life management assistant for daily planning, task breakdown, time management, and maintaining routines.
SkillCFreshness: C★ 9Claude Code +9 - 0.538score
about-me-avatar
serejaris
Generate a 1-bit monochrome pixel-art portrait from a user's About Me.
SkillCFreshness: C★ 9Claude Code +9 - 0.538score
imf
serejaris
IMF provides global macroeconomic data through the World Economic Outlook database, including historical statistics and forecasts for GDP growth, inflation…
SkillCFreshness: C★ 9Claude Code +9 - 0.538score
scholar
serejaris
A freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines.
SkillCFreshness: C★ 9Claude Code +9 - 0.538score
audience-adaptive-comms
serejaris
Adapt stakeholder communication to the target audience (CEO, VP, Tech Lead, or Operations), adjusting detail level, language, and focus.
SkillCFreshness: C★ 9Claude Code +9 - 0.534score
audio_generation
serejaris
Generate audio in two ways: text-to-speech, or custom sound effects.
SkillCFreshness: C★ 9Claude Code +9 - 0.534score
world_bank_open_data
serejaris
World Bank Open Data is a free global development data platform with access to countries worldwide and 29,000+ indicators covering economic, social, and…
SkillCFreshness: C★ 9Claude Code +9 - 0.531score
yahoo_finance
serejaris
Yahoo Finance provides stock information for a given ticker symbol, including stock price and trading information, company information, financial metrics…
SkillCFreshness: C★ 9Claude Code +9 - 0.531score
sec_edgar
serejaris
SEC EDGAR provides comprehensive US public company filings and financial data, including company info, filings, XBRL facts, financial statements, insider…
SkillCFreshness: C★ 9Claude Code +9 - 0.530score
image_generation
serejaris
Create an image based on a text description using AI image generation.
SkillCFreshness: C★ 9Claude Code +9 - 0.518score
ad-creative
serejaris
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising…
SkillCFreshness: C★ 9Claude Code +9
Signals
- Stars
- 9
- Forks
- 3
- Open issues
- 0
- Last commit (this folder)
- Jul 17, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/serejaris/kimi-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
- 0.347score
astro-observation-report
nstung463
Skill for writing gravitational-wave observational results papers for compact binary coalescence events (BNS, BBH, NSBH) detected by LIGO, Virgo, or KAGRA.
SkillBFreshness: B★ 5Claude Code +9 - 0.318score
astro-observation-report
iaa2005
Skill for writing gravitational-wave observational results papers for compact binary coalescence events (BNS, BBH, NSBH) detected by LIGO, Virgo, or KAGRA.
SkillBFreshness: BClaude Code +9
More from serejaris
- 0.543score
anki-card-maker
serejaris
Extract key knowledge from study materials (text, Markdown, notes) and generate front-question + back-answer flashcards, producing an Anki-compatible CSV file…
SkillCFreshness: C★ 9Claude Code +9 - 0.538score
audience-adaptive-comms
serejaris
Adapt stakeholder communication to the target audience (CEO, VP, Tech Lead, or Operations), adjusting detail level, language, and focus.
SkillCFreshness: C★ 9Claude Code +9 - 0.538score
about-me-avatar
serejaris
Generate a 1-bit monochrome pixel-art portrait from a user's About Me.
SkillCFreshness: C★ 9Claude Code +9 - 0.538score
imf
serejaris
IMF provides global macroeconomic data through the World Economic Outlook database, including historical statistics and forecasts for GDP growth, inflation…
SkillCFreshness: C★ 9Claude Code +9 - 0.538score
scholar
serejaris
A freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines.
SkillCFreshness: C★ 9Claude Code +9 - 0.534score
world_bank_open_data
serejaris
World Bank Open Data is a free global development data platform with access to countries worldwide and 29,000+ indicators covering economic, social, and…
SkillCFreshness: C★ 9Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get astro-observation-report running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
astro-observation-report skill. Agent Mart. https://agentmart.dev/skills/serejaris-astro-observation-report (last updated 2026-10-24)